58606e76652dd425969fc34301a5bc2153a2ff40
CLAUDE.md
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+---
+visibility: public
+---
+
+# Ideas Wiki — Schema
+
+this wiki collects and synthesizes all of harrison's project ideas, product ideas, and big ideas. sources are primarily ideaflow notes tagged with idea-related hashtags, plus obsidian `ideas/` folder and any idea-tagged apple notes.
+
+mutually exclusive with the notes wiki — if it's an idea, it lives here; if it's not, it lives there.
+
+## page types
+
+### idea
+a single project/product idea, potentially synthesized from multiple captures.
+- frontmatter: `type: idea`, `title`, `tags`, `status` (raw|explored|in-progress|built|abandoned), `first_captured`, `sources`
+
+### idea-cluster
+a group of related ideas that share a theme or problem space.
+- frontmatter: `type: idea-cluster`, `title`, `tags`, `ideas` (list of linked idea pages)
+
+### source-summary
+a 1:1 summary of a source document.
+- frontmatter: `type: source-summary`, `title`, `source_path`, `source_origin`, `date`
+
+## page format
+
+```markdown
+---
+type: <page-type>
+title: <title>
+tags: [<tags>]
+status: <status>
+first_captured: <iso-date>
+updated: <iso-date>
+sources: [<source-file-paths>]
+---
+
+# <Title>
+
+<compiled truth — what the idea is, why it matters, how it could work, what's been explored. weave [[wikilinks]] into the prose wherever you mention another idea, cluster, or concept that has its own page. link on first mention only, use display text for readability: [[slug|natural text]].>
+
+---
+
+## timeline
+
+- [<date>] <capture or update event>
+```
+
+## ingestion workflow
+
+when a new source is dropped into `sources/`:
+1. read the source fully
+2. write a `source-summary` in `wiki/summaries/`
+3. determine if this matches an existing idea page (same concept, different capture)
+4. if yes: merge into existing idea page, update compiled truth, add timeline entry
+5. if no: create a new idea page
+6. check if the idea fits into an existing cluster or warrants a new one
+7. if the idea became an actual project, note `status: built` and reference which project
+8. update `index.md` and `log.md`
+
+## idea classification tags (from ideaflow)
+
+primary: `#projectidea`, `#newprojectidea`, `#bigprojectidea`
+secondary: any note from obsidian `ideas/` folder, apple notes with idea-like content
+
+## cross-referencing
+
+- weave `[[slug|display text]]` wikilinks inline in prose — first mention only, don't over-link
+- no dedicated "connections" or "see also" sections — if a relationship matters, it belongs in the text
+- link related ideas to each other inline
+- when an idea became a real project, mention it inline with the project name
+- do NOT link to notes wiki — these are separate wikis
\ No newline at end of file
index.md
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+---
+title: ideas wiki index
+type: index
+updated: 2026-04-10
+visibility: public
+---
+
+# ideas wiki
+
+all of harrison's project ideas, product ideas, and big ideas — synthesized from IdeaFlow, Apple Notes, and Obsidian.
+
+## idea clusters
+
+| cluster | description |
+|---------|-------------|
+| [[cluster-memory-and-context\|memory and context tools]] | capturing, storing, retrieving, and using personal context and memory |
+| [[cluster-social-networking\|social network and connections]] | connecting people, mapping relationships, building communities |
+| [[cluster-learning-education\|learning and education]] | reimagining how people learn — tools, human infrastructure, culture |
+| [[cluster-habits-productivity\|habits and productivity]] | habit formation, reminders, automation, self-improvement |
+| [[cluster-ai-tools\|AI tooling and research]] | making AI better, meta-tools for AI-powered building |
+| [[cluster-hardware-wearable\|hardware and wearables]] | physical devices for sensing, interaction, and utility |
+| [[cluster-hiring-work\|hiring and work tools]] | both sides of hiring — seekers and employers |
+| [[cluster-search-discovery\|search and discovery]] | finding things better across all domains |
+
+## all ideas (by status)
+
+### built
+| idea | summary |
+|------|---------|
+| [[oncue\|OnCue]] | interview prep tool — scattered history into perfectly-timed answers |
+| [[pause\|Pause]] | screen break / reminder app |
+| [[convo-flow\|convo-flow]] | conversation tracking tool with statuses and highlighting |
+| [[connection-hub\|connection hub]] | Nueva school community discord server |
+| [[ultimate-describer\|precision description engine]] | engine for making descriptions more precise — won hackathon |
+| [[keystroke-music\|keystroke classical music]] | typing becomes classical piano performance (kbs) |
+
+### explored
+| idea | summary |
+|------|---------|
+| [[brain-rewinder\|brain rewinder]] | device/system to remember previous thoughts via sensory triggers |
+| [[sensor-capturer\|sensor capturer]] | device capturing sensory experiences beyond audio/video |
+| [[smell-resetter\|smell resetter]] | device to combat olfactory fatigue — deep research done |
+| [[universal-habits\|universal habits]] | context-aware adaptive habit system — biggest recurring idea |
+| [[axon\|axon]] | personal memory/context layer for AI agents and humans |
+| [[learning-suite\|learning suite]] | comprehensive learning optimization tool suite |
+| [[discord-connections-mapper\|discord connections mapper]] | multi-platform relationship graph with network combining |
+| [[referral-hiring\|referral-based hiring]] | marketplace for fit-over-qualification hiring via referrals |
+| [[always-on-ai-assistant\|always-on AI assistant]] | 24/7 listening, transcribing, context-aware AI companion |
+| [[universal-agentic-searcher\|universal agentic searcher]] | deep research pipeline with adaptive feedback |
+
+### raw
+| idea | summary |
+|------|---------|
+| [[episodic-memory-builder\|episodic memory builder]] | app to improve memory through daily recall prompts |
+| [[universal-data-capturer\|universal data capturer]] | unstructured data logger with LLM-powered dynamic schemas |
+| [[me-model\|me model]] | fine-tuned LLM trained on all personal data sources |
+| [[life-search\|life search]] | semantic search over your entire life — "mgrep for life" |
+| [[ifttt-personal\|personal IFTTT]] | personal automation for text patterns, reminders, triggers |
+| [[vibe-matcher\|vibe matcher]] | social network using ML to match people by compatibility |
+| [[tutor-platform\|exceptional tutor platform]] | marketplace for rigorously vetted tutors |
+| [[personalized-medicine\|personalized medicine]] | unified testing framework for personal wellness factors |
+| [[comparison-engine\|comparison engine]] | side-by-side decision tool accepting any media |
+| [[events-sorter\|events sorter]] | personalized event ranking using AI |
+| [[decision-helper\|decision helper]] | therapist-style AI for diagnosing decisions |
+| [[cultural-translator\|cultural translator]] | translator across philosophical frameworks and culture spheres |
+| [[job-tracking\|job application tracker]] | employer-side applicant tracking with fake detection |
+| [[life-planning-app\|life planning app]] | formalized life plan visibility tool |
+| [[task-scheduler\|task scheduler]] | better Morgen with auto-planning and wait-time awareness |
+| [[wifi-client\|wifi client]] | WiFi management, auto-join, password sharing app |
+| [[pupilometry-glasses\|pupilometry glasses]] | eye-tracking glasses for hands-free computer control |
+| [[emg-bracelet\|EMG bracelet]] | EMG+gyro wrist device for computer control |
+| [[writing-tools\|writing tools suite]] | grammar, AI detection, plagiarism, and quality writing tools |
+| [[college-essay-grader\|college essay grader]] | vector embedding distance for essay quality |
+| [[personalized-autocomplete\|personalized autocomplete]] | context-aware autocomplete that knows you |
+| [[consulting-software\|consulting / custom software]] | Palantir-style audit/plan/make software business |
+| [[overnight-app-grinder\|overnight app grinder]] | autonomous overnight coding agent manager |
+| [[cross-platform-bots\|cross-platform bots]] | notification bridges across LinkedIn, Slack, etc. |
+| [[build-in-public\|build/learn in public]] | low-friction crossposter across all social media |
+| [[publish-to-website\|publish to website]] | IdeaFlow #publishtowebsite to personal site pipeline |
+| [[voice-recognition-improvement\|voice recognition]] | improving ASR for foreign names and companies |
+| [[video-doorbell\|video doorbell]] | face recognition doorbell with notifications |
+| [[temperature-app\|temperature feel app]] | how a temperature actually feels with wind/humidity |
+| [[food-spoilage-scanner\|food spoilage scanner]] | CV classifier for spoiled food |
+| [[politician-tracker\|politician tracker]] | what are my politicians doing? |
+| [[life-guide\|life guide]] | crowdsourced practical life wisdom |
+| [[youre-not-behind\|you're not behind machine]] | counter-anxiety tool for college stress |
+| [[anti-scrolling\|anti-scrolling tool]] | combating phone scrolling addiction |
+| [[google-shortcuts-extension\|google shortcuts extension]] | missing keyboard shortcuts for Google apps |
+| [[browser-autocomplete-editor\|browser autocomplete editor]] | edit browser URL autocomplete suggestions |
+| [[instagram-post-checker\|instagram post checker]] | pre-publish quality/vibe check |
+| [[info-exchanger\|info exchanger]] | pre-conversation context sharing via paired Q&A |
+| [[biking-directions\|biking directions]] | voice-integrated navigation for cyclists |
+| [[voice-to-3d-model\|voice to 3D model]] | natural language to 3D model generation |
+| [[memory-competitions\|memory competitions]] | personal goal: become great at memory |
+| [[customer-support-ai\|customer support AI]] | AI that calls customer support for you |
+| [[data-selling-platform\|data selling platform]] | marketplace for people to sell their data |
+| [[ads-on-everything\|ads on everything]] | consumer-side advertising on cars, houses |
+| [[instant-blanket\|instant warming blanket]] | cheap blanket for immediate full-body warmth |
+| [[laser-sensors\|laser sensors]] | movie-style laser grid security system |
+| [[eco-community\|eco-safe community]] | climate-resilient luxury community |
+| [[fruit-delivery\|fruit delivery]] | drone delivery with quality fruit picking |
+| [[free-parking-finder\|free parking finder]] | AI-powered free street parking discovery |
+| [[agent-simulation\|agent-based simulation]] | large-scale agent simulation platform |
+| [[surreal-sound-experiences\|surreal sound experiences]] | multi-device immersive sound experiences |
+| [[photo-album-face-search\|photo album face search]] | find photos of yourself in shared albums |
+| [[project-suggestor\|project suggestor]] | AI project recommendation based on who you are |
+| [[project-designer\|project designer]] | AI curriculum-quality project design |
+| [[idea-tester\|idea tester]] | automated idea validation and market research |
+| [[b2b-competitive-analysis\|B2B competitive analysis]] | automated competitive intelligence grinder |
+| [[stress-testing-suite\|stress testing suite]] | agent + human beta testing platform |
+| [[foss-management\|FOSS management]] | open source software discovery with auto-testing |
+| [[pain-point-builder-marketplace\|pain point marketplace]] | matching user problems with FOSS builders |
+| [[optimize-computers\|computer optimizer]] | cross-OS performance optimization tool |
+| [[fact-checker\|fact checker]] | LLM-based verification of Wikipedia and docs |
+| [[choice-visualizer\|choice visualizer]] | visualize all possible choices in a moment |
+| [[simulink-alternative\|simulink alternative]] | open, portable signal processing GUI |
+| [[idea-extraction-system\|core idea extraction]] | generalized abstraction across modalities |
+| [[ai-conversationalist\|AI conversationalist]] | AI that mimics specific people's conversation style |
+| [[ai-onboarding\|AI onboarding]] | system to get people started with AI tools |
+| [[llm-behavior-improvement\|LLM behavior improvement]] | making LLMs more reliable and context-aware |
+| [[agents-md-research\|AGENTS.md research]] | prompt engineering optimization research |
+| [[llm-physical-intuition\|LLM physical intuition]] | can LLMs reason about physical space? |
+| [[flapping-airplanes\|flapping airplanes]] | AI training efficiency research directions |
+| [[task-optimization-game\|task optimization game]] | gamified task scheduling |
+| [[intelligence-development\|intelligence development]] | startup to systematically develop cognition |
+| [[consciousness-for-students\|student consciousness]] | helping students become more self-aware |
+| [[motivation-education\|motivation in education]] | analysis of student motivation as core education problem |
+| [[invoking-thoughts\|invoking thoughts]] | sensory-emotional habit triggering |
+| [[fpv-teens\|FPV teens]] | bay area teen tech community |
+| [[cookedness-tracker\|cookedness tracker]] | periodic self-check for focus |
+| [[personal-teleprompter\|personal teleprompter]] | script reading without seeming like it |
+| [[intentionality-camp\|intentionality camp]] | intensive program for making people "cracked" |
+| [[generational-disconnect\|generational disconnect]] | bridging the gap between generations |
+| [[nueva-hacks\|nueva hacks]] | hackathon at Nueva |
+| [[ultimate-predictor\|ultimate predictor]] | ML model for ultimate frisbee point prediction |
+| [[nose-device\|nose device]] | olfactory device for dad |
+| [[outdoor-work-setup\|outdoor work setup]] | workspace for fresh air while working |
+| [[dense-info-generator\|dense info generator]] | generate comprehensive topic briefings |
+| [[quality-search\|quality content search]] | search that filters for high-quality content |
+| [[ai-agent-reply\|AI agent reply]] | AI that replies on your behalf across platforms |
+| [[acoustic-drone-detection\|acoustic drone detection]] | audio scene classification on MCUs for defense/conservation |
+| [[spec-driven-dev\|spec-driven dev kit]] | research-plan-implement pipeline for coding agents |
+| [[ui-flow\|UI flow]] | contextual software coach — screen-watching app tips |
+| [[hard-docs-writer\|hard docs writer]] | auto-document confusing codebase parts for AI agents |
+| [[eeg-artifact-rejection\|EEG artifact rejection]] | self-supervised neural signal cleaning |
+| [[symbolic-regression\|symbolic regression]] | discovering mathematical expressions from data |
+| [[context-window-optimizer\|context window optimizer]] | tooling for agent context management |
+| [[cognitive-foom\|cognitive foom]] | recursive self-improvement infrastructure for AI agents |
+| [[predictive-maintenance-sensors\|predictive maintenance sensors]] | embedded ML for equipment anomaly detection |
+| [[ppg-biomarker-wearable\|PPG biomarker wearable]] | PPG sensor training for novel biomarker detection |
+| [[embedding-tone-interpolation\|embedding tone interpolation]] | separate meaning and style in embedding space for writing |
+| [[robotic-arm-assistant\|robotic arm assistant]] | alexa with arms — physical home automation |
+| [[conversations-recorded\|conversations recorded]] | share clips of actual conversations at events |
+| [[culture-fingerprint\|culture fingerprint]] | visual graphic of personal/company culture profile |
+| [[math-dopamine\|math dopamine loops]] | dopamine engineering for math education |
+| [[nueva-third-space\|nueva third space]] | physical open-conversation space at Nueva |
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log.md
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+---
+title: ingestion log
+type: log
+updated: 2026-04-10
+visibility: public
+---
+
+# ingestion log
+
+## 2026-04-10 — initial ingestion
+
+**sources processed:** 137 files across 3 origins
+- ideaflow: 110 files (tagged #projectidea, #newprojectidea, #bigprojectidea)
+- apple-notes: 20 files (Archived/build folder + archived root)
+- obsidian: 7 files (home/ideas/ folder)
+
+**pages created:** 74 idea pages, 8 cluster pages, 1 index
+
+**ideas by status:**
+- built: 6 (OnCue, Pause, convo-flow, connection hub, precision description engine, keystroke music)
+- explored: 10 (brain rewinder, sensor capturer, smell resetter, universal habits, axon, learning suite, discord connections mapper, referral hiring, always-on AI assistant, universal agentic searcher)
+- raw: 58
+
+**merges performed:**
+- brain rewinder: ideaflow + apple-notes potential-projects
+- sensor capturer: ideaflow + apple-notes sensor-capturer + build-notes
+- universal habits: 6 ideaflow notes + apple-notes potential-projects
+- learning suite: 3 ideaflow notes + apple-notes potential-projects
+- discord connections mapper: 4 ideaflow notes (linked notes chain)
+- universal data capturer: ideaflow + apple-notes potential-projects
+- oncue: apple-notes oncue + tellwell
+- wifi client: apple-notes + ideaflow
+- several others merged with apple-notes potential-projects-archived (which contained strikethrough copies of ideaflow ideas)
+
+**clusters identified:**
+1. memory and context tools (9 ideas)
+2. social network and connections (7 ideas)
+3. learning and education (10 ideas)
+4. habits and productivity (8 ideas)
+5. AI tooling and research (10 ideas)
+6. hardware and wearables (8 ideas)
+7. hiring and work tools (7 ideas)
+8. search and discovery (6 ideas)
+
+**obsidian sources:**
+- song.md: merged into keystroke-music (AI songwriting interest)
+- motivation.md: standalone page (motivation-education)
+- disconnection_between_generations.md: standalone page (generational-disconnect)
+- game_ideas.md: merged into task-optimization-game
+- domain_names.md: not ingested (list of domain name ideas, no project concept)
+- phone_shortcuts.md: not ingested (personal shortcuts, not a project idea)
+- WRC_stuff.md: not ingested (website maintenance tasks, not an idea)
+
+**notes:**
+- apple-notes potential-projects-archived.md contained strikethrough copies of many ideaflow notes, confirming those ideas were moved from apple notes to ideaflow
+- many ideaflow notes reference linked notes by ID (e.g., [linked note: JMXS1vOOYr]) — these were matched to other ideaflow notes by ideaflow_id and merged accordingly
+
+## 2026-04-10 — google sheets ideas ingestion
+
+**source processed:** sources/google-sheets-ideas.md (645 lines, 4 tabs)
+- project_ideas: ~85 ideas with originality/excitement scores, MVP estimates, competitive analysis
+- ranked_by_tech_depth: same ideas ranked by technical depth with tier labels (DO THIS, STRONG, WRONG FIT, ARCHIVE)
+- Blue Ocean Analysis: 12 ideas evaluated for market positioning
+- best: harrison's curated top picks
+
+**summary created:** wiki/summaries/google-sheets-ideas.md
+
+**existing pages enriched with spreadsheet data:** 38 pages
+- added originality scores, excitement scores, MVP time estimates, competitive landscape analysis, tech depth rankings, tier labels, and blue ocean positioning
+- data added as "spreadsheet evaluation" blocks in compiled truth sections + timeline entries
+
+**new pages created:** 16 ideas not present in other sources
+- acoustic-drone-detection (DO THIS, tech depth 9/10, EMERGING)
+- spec-driven-dev (DO THIS, tech depth 8/10, RED OCEAN)
+- ui-flow (8/10 originality, 9/10 excitement)
+- hard-docs-writer (STRONG, tech depth 7/10)
+- eeg-artifact-rejection (NEAR BLUE, high feasibility)
+- symbolic-regression (EMERGING, high feasibility)
+- context-window-optimizer (EMERGING, medium feasibility)
+- cognitive-foom (STRONG, tech depth 9/10)
+- predictive-maintenance-sensors (STRONG, tech depth 8/10)
+- ppg-biomarker-wearable (best picks list)
+- embedding-tone-interpolation (best picks list)
+- robotic-arm-assistant (WRONG FIT, needs scoping)
+- conversations-recorded (content/community concept)
+- culture-fingerprint (visualization concept)
+- math-dopamine (WRONG FIT, content/product focus)
+- nueva-third-space (community design concept)
+
+**key findings from spreadsheet:**
+- top 5 [DO THIS] tier: acoustic drone detection, BCI/read-imprinting device, agent-based simulation, spec-driven dev kit, personalized medicine
+- highest excitement (10/10): brain rewinder, articulate/precision description engine
+- only true BLUE OCEAN: N-of-1 causal inference engine (personalized medicine variant)
+- NEAR BLUE with high feasibility: EEG artifact rejection, content quality scorer
+- best picks emphasize: audio classification on MCUs, smell necklace, data selling, embedding interpolation, computer optimizer, PPG sensors
\ No newline at end of file
wiki/acoustic-drone-detection.md
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+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- defense
+- hardware
+- ml
+- dsp
+- embedded
+title: acoustic drone detection
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# acoustic drone detection
+
+robust audio scene classification on microcontrollers — applicable to conservation, drone detection, people detection, home security. DSP, ML classification, embedded systems (ESP32). a tangible hardware problem with a clear defense market.
+
+listed in "best" top picks as "robust audio scene classification on microcontrollers (conservation, drone detection, people detection, home security, etc etc)."
+
+**spreadsheet evaluation:** tech depth 9/10, labeled [DO THIS] — "tangible hardware problem with clear defense market. you've explored this domain already." blue ocean analysis: "Audio Scene Classification on MCU" rated EMERGING with medium 2-month feasibility. one of the top 5 [DO THIS] tier projects alongside BCI, agent-based simulation, spec-driven dev, and personalized medicine.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [DO THIS] tier, 9/10 tech depth, EMERGING blue ocean, listed in top picks
\ No newline at end of file
wiki/ads-on-everything.md
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+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- business
+- advertising
+title: ads on everything
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# ads on everything
+
+idea in ads: ads on everything (cars, houses, etc) as a consumer advertising platform.
+
+**spreadsheet evaluation:** excitement 5/10. tech depth 1/10, labeled [ARCHIVE] ("biz concept, not tech").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — 5/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/agent-simulation.md
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+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- simulation
+- ai
+- agents
+- defense
+- software
+title: agent-based large-scale simulation (aaru++)
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# agent-based large-scale simulation (aaru++)
+
+real CS/math: population dynamics, emergent behavior, optimization. deeply technical, visually stunning demos, clear startup angle in policy/defense/urban planning. "aaru++" suggests building on existing simulation work.
+
+**spreadsheet evaluation:** tech depth 9/10, labeled [DO THIS] — one of only 5 projects in the top tier. blue ocean analysis: "Distributed Simulation Consensus" rated BLUE OCEAN with low 2-month feasibility — the market is wide open but the scope may be too large for a 2-month sprint.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [DO THIS] tier, 9/10 tech depth, BLUE OCEAN (low feasibility)
\ No newline at end of file
wiki/agents-md-research.md
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+---
+first_captured: 2026-02-13
+sources:
+- sources/ideaflow/2026-02-13_resaerch-project-idea.md
+status: raw
+tags:
+- ai
+- research
+- prompting
+title: AGENTS.md optimization research
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# AGENTS.md optimization research
+
+research question: does length of a command in AGENTS.md relative to other commands correlate with the model's ability to recall and use it? a research project on prompt engineering optimization — understanding how the structure and relative weight of instructions affects LLM behavior.
+
+connects to the [[llm-behavior-improvement|LLM behavior improvement]] cluster for the broader goal of making AI tools work better.
+
+---
+
+## timeline
+
+- [2026-02-13] captured — AGENTS.md length vs recall correlation
\ No newline at end of file
wiki/ai-agent-reply.md
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+---
+first_captured: 2026-03-28
+sources:
+- sources/ideaflow/2026-03-28_building-onto-this.md
+status: raw
+tags:
+- ai
+- automation
+- communication
+title: AI agent for replies
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# AI agent for replies
+
+building onto a concept (referenced via image): an AI agent that replies on your behalf when it has the right info and is aligned with how you act. "seems decently compelling for other use cases."
+
+connects to the [[me-model|me model]] for personality alignment and to the [[cross-platform-bots|cross-platform bots]] for the multi-platform presence. the [[always-on-ai-assistant|always-on AI assistant]] is the broader version of this.
+
+---
+
+## timeline
+
+- [2026-03-28] captured — AI acting as you across platforms
\ No newline at end of file
wiki/ai-conversationalist.md
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+---
+first_captured: 2026-03-28
+sources:
+- sources/ideaflow/2026-03-28_right-now-ai-is-kind-a-slog-to.md
+status: raw
+tags:
+- ai
+- conversation
+- therapy
+- software
+title: AI conversationalist
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# AI conversationalist
+
+right now AI is "kind of a slog to talk to." configure a model that accurately mimics how specific people talk and does good conversation. could be useful for therapy but also for inspiration and brainstorming. "the sentience company with Sam Kececi is kinda doing this."
+
+depends on the [[me-model|me model]] for the personalization layer. this is the conversational complement to the [[personalized-autocomplete|personalized autocomplete]] which focuses on written output.
+
+---
+
+## timeline
+
+- [2026-03-28] captured — AI that actually talks like a real person
\ No newline at end of file
wiki/ai-onboarding.md
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+---
+first_captured: 2026-04-08
+sources:
+- sources/ideaflow/2026-04-08_create-a-system-to-onboard-people-who-cant.md
+status: raw
+tags:
+- ai
+- adoption
+- education
+title: AI onboarding system
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# AI onboarding system
+
+a system to onboard people who cannot use cloud/AI tools, or notify those who have not heard of them or mistrust them. convince them through targeted use cases that would be personally relevant, or through outrage at what they are missing.
+
+---
+
+## timeline
+
+- [2026-04-08] captured — AI adoption for the underserved
\ No newline at end of file
wiki/always-on-ai-assistant.md
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+---
+first_captured: 2026-03-14
+sources:
+- sources/ideaflow/2026-03-14_ai-that-always-listens-and-transcribes-could-be.md
+- sources/ideaflow/2026-04-02_always-on-ai-assistant-through-discord-bot-voice.md
+- sources/ideaflow/2026-04-03_pocket-recording-device-but-superset-a-magsafe-block.md
+- sources/ideaflow/2026-03-28_complete-ai-on-smart-watch-that-integrates-with.md
+- sources/google-sheets-ideas.md
+status: explored
+tags:
+- ai
+- assistant
+- voice
+- discord
+- hardware
+- software
+title: always-on AI assistant
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# always-on AI assistant
+
+an AI that always listens and transcribes, acting as a 24/7 personal assistant. could be $2/day and totally worth it. it transcribes, answers questions, notes good ideas, remembers people. "defs just jacob's thing but better and applied to more things."
+
+the discord implementation: an always-on bot in a voice channel (works when phone is off), running claude code with context (USER.md) and connections. critical requirement: needs to know when to respond and when not to — some "hey alexa" activation tech. it hears everything but only responds when addressed, so you can ask "what was I just talking about before mentioning xyz?"
+
+hardware variants include: a magsafe block that records meetings and connects to integrations, and an AI on a smartwatch that integrates with any phone/computer with strong memory and document access.
+
+referenced: Omnara (Claude Code desktop/mobile client), pika.me, claude dispatch. the connection from phone to computer should be super easy. connects to the [[brain-rewinder|brain rewinder]] (the assistant IS the memory device), [[axon|axon]] (the memory infrastructure), and [[life-search|life search]] (querying everything the assistant has captured).
+
+**spreadsheet evaluation:** excitement 5/10. the spreadsheet notes this as "defs just jacob's thing but better and applied to more things" — transcribes, answers questions, notes good ideas, remembers people. could be $2/day and totally worth it. choose days for it to be on/off. the smartwatch variant (tech depth 9/10) labeled [WRONG FIT] ("hardware + OS level work — way too big for 2 months"). the voice assistant variant (tech depth 6/10) labeled [ARCHIVE] ("huge scope, commoditizing fast").
+
+---
+
+## timeline
+
+- [2026-03-14] always-listening transcription concept — "$2 a day but totally worth"
+- [2026-03-28] smartwatch variant — complete AI with document access
+- [2026-04-02] discord bot implementation — voice channel, activation detection
+- [2026-04-03] magsafe recording block variant
+- [2026-04-10] google sheets evaluation — 5/10 excitement, smartwatch [WRONG FIT], voice assistant [ARCHIVE]
\ No newline at end of file
wiki/anti-scrolling.md
new file mode 100644
index 0000000..9454106
@@ -0,0 +1,24 @@
+---
+first_captured: 2026-03-16
+sources:
+- sources/ideaflow/2026-03-16_some-anti-scrolling-addiction-thing-for-dad-and.md
+status: raw
+tags:
+- health
+- addiction
+- software
+title: anti-scrolling addiction tool
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# anti-scrolling addiction tool
+
+something to combat scrolling addiction — specifically for dad and the "hella smoking + scrolling people in China." the intersection of screen addiction and health habits. connects to the [[universal-habits|universal habits]] system as a specific behavioral intervention and to [[pause|Pause]] as a simpler version of the same idea.
+
+---
+
+## timeline
+
+- [2026-03-16] captured — dad and China scrolling culture
\ No newline at end of file
wiki/axon.md
new file mode 100644
index 0000000..2b0a51d
@@ -0,0 +1,32 @@
+---
+first_captured: 2025-09-14
+sources:
+- sources/apple-notes/archived/axon.md
+- sources/apple-notes/archived/build-notes.md
+status: explored
+tags:
+- memory
+- ai
+- context
+- agents
+- software
+title: axon
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# axon
+
+a memory/context system — initially positioned as a personal memory layer for AI agents and humans. competitors identified: Hyperspell (context/memory for agents only), Supermemory, memory.store, pokee.ai.
+
+evaluation from 10.16: "kinda slow to activate, lots of alternatives, would take some time to make a decent MVP." the space was already crowded. key components identified: organization (critical and lacking in competitors), privacy implementations, ease of use.
+
+strategic direction: focus on one or two robust applications best for yourself first ("both just useful & good story"), then market based on those. this is part of the broader [[me-model|me model]] and [[always-on-ai-assistant|always-on AI assistant]] vision where all your context is indexed and retrievable. the [[life-search|life search]] idea is the query interface for what axon would store.
+
+---
+
+## timeline
+
+- [2025-09-14] initial interest in AI agents and graph-of-models approaches (n8n, CrewAI, LangGraph)
+- [2025-10-16] evaluation — determined too slow to activate, too many alternatives
\ No newline at end of file
wiki/b2b-competitive-analysis.md
new file mode 100644
index 0000000..3af0dc3
@@ -0,0 +1,25 @@
+---
+first_captured: 2026-03-28
+sources:
+- sources/ideaflow/2026-03-28_b2b-competitive-analysis-and-angles-grinder.md
+status: raw
+tags:
+- business
+- ai
+- research
+- software
+title: B2B competitive analysis grinder
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# B2B competitive analysis grinder
+
+automated competitive analysis and angle-finding for B2B. given a market or competitor set, grind through all available information to find competitive angles and gaps. connects to the [[universal-agentic-searcher|universal agentic searcher]] for the research infrastructure and to the [[idea-tester|idea tester]] for the validation workflow.
+
+---
+
+## timeline
+
+- [2026-03-28] captured — automated competitive intelligence
\ No newline at end of file
wiki/biking-directions.md
new file mode 100644
index 0000000..8d976d9
@@ -0,0 +1,29 @@
+---
+first_captured: 2025-12-23
+sources:
+- sources/ideaflow/2025-12-23_google-maps-something-directions-app-for-bikers.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- maps
+- cycling
+- software
+- voice
+title: biking directions app
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# biking directions app
+
+a Google Maps alternative for bikers with voice assistant integration. "ask it whats going on? assistant etc (kinda like siri but integrated)" — because your hands are full while biking. could integrate with the [[always-on-ai-assistant|always-on AI assistant]] for voice interaction.
+
+**spreadsheet evaluation:** originality 6/10, excitement 3/10, MVP 2-4 weeks. competitive landscape: Google Maps and Apple Maps have cycling directions + voice nav, Komoot and Ride with GPS are cycling-specific — none are voice-assistant-first for mid-ride queries. main challenge is wind noise + speech recognition. hardware (bone conduction + mic) matters more than software. tech depth 3/10, labeled [ARCHIVE] ("maps API wrapper").
+
+---
+
+## timeline
+
+- [2025-12-23] captured — hands-free biking navigation
+- [2026-04-10] google sheets evaluation — 6/10 originality, 3/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/brain-rewinder.md
new file mode 100644
index 0000000..7090fe0
@@ -0,0 +1,35 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_brain-rewinder-to-remember-previous-thoughts-probably-str.md
+- sources/apple-notes/archived/potential-projects-archived.md
+- sources/google-sheets-ideas.md
+status: explored
+tags:
+- memory
+- hardware
+- wearable
+- bci
+title: brain rewinder
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# brain rewinder
+
+a device or system that helps you remember previous thoughts — the experience of losing a thought mid-stream and wanting to rewind your brain to retrieve it. the core insight is that existing solutions like Limitless and Plaud Note are device-based and record externally, but the ideal solution would either be a very cheap/easy device or a non-device approach entirely.
+
+one route explored is sensory triggering — using smells, sounds, or visuals to invoke prior mental states. smell-based recall has some research backing (Harvard Mind & Mood), though there is a risk of false recall ("might be cooked if you hallucinate the thing and ur sad"). AlterEgo from MIT was also considered as a silent speech interface that might bridge the gap.
+
+**spreadsheet evaluation:** originality 9/10, excitement 10/10 (highest tier). competitive landscape: academic research exists on olfactory memory reactivation (ACM papers, wearable prototypes), Rewind.ai records screen/audio but is visual-log-based, no consumer product systematically uses sensory triggers for thought retrieval. MVP estimated at 4-8 weeks — could start as a simple app associating scents/sounds with contexts and replaying them as recall triggers, though hardware adds complexity. tech depth ranked 6/10, labeled [WRONG FIT] for a 2-month build ("cool concept but no clear technical path in 2 months — what would you even build?"). blue ocean analysis: BLUE OCEAN positioning with medium 2-month feasibility.
+
+this connects to the broader [[episodic-memory-builder|episodic memory builder]] idea and to [[sensor-capturer|sensory capture]] more generally. the [[universal-data-capturer|universal data capturer]] could also serve as infrastructure for this — logging enough context that an AI could reconstruct what you were thinking about. the [[always-on-ai-assistant|always-on AI assistant]] approach (always listening, always transcribing) may be the most practical path.
+
+---
+
+## timeline
+
+- [2025-12-22] initial capture in ideaflow — explored device vs non-device approaches, sensory routes, existing products
+- [2025-12-22] also captured in apple notes potential-projects-archived (strikethrough, moved to ideaflow)
+- [2026-04-10] google sheets evaluation — 9/10 originality, 10/10 excitement, BLUE OCEAN, [WRONG FIT] for 2mo scope
\ No newline at end of file
wiki/browser-autocomplete-editor.md
new file mode 100644
index 0000000..9ef592c
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- browser
+- extension
+- utility
+- software
+title: browser autocomplete editor
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# browser autocomplete editor
+
+an extension to customize browser autocomplete entries — for example, forcing discord.com/app over discord.com. nothing like this exists; Redirector and Requestly act after navigation. Chrome's Omnibox API doesn't expose autocomplete editing. entirely novel concept but may require creative workarounds since browsers don't expose this natively. could approximate with URL redirect + history manipulation.
+
+**spreadsheet evaluation:** originality 10/10 (highest possible — nothing exists), excitement 6/10, MVP 1-2 weeks. tech depth 2/10, labeled [ARCHIVE] ("tiny extension"). the main risk is technical feasibility — Chrome may not allow true autocomplete editing.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — 10/10 originality, 6/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/build-in-public.md
new file mode 100644
index 0000000..c0d78b1
@@ -0,0 +1,30 @@
+---
+first_captured: 2026-03-19
+sources:
+- sources/ideaflow/2026-03-19_buildlearn-in-publicer.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- social-media
+- automation
+- software
+title: build/learn in public crossposter
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# build/learn in public crossposter
+
+auto-post things in threads across all social media with super low friction and nice writing. targets: X, Instagram, LinkedIn, Discord channels, etc. also for events and general announcements. the key differentiator is low friction — not having to manually craft posts for each platform.
+
+this is the outbound complement to [[cross-platform-bots|cross-platform notification bots]] (which pulls inbound). connects to the [[publish-to-website|publish to website]] automation idea.
+
+**spreadsheet evaluation:** tech depth 3/10, labeled [WRONG FIT] ("API integrations — boring technically").
+
+---
+
+## timeline
+
+- [2026-03-19] captured — crossposter across all platforms
+- [2026-04-10] google sheets evaluation — [WRONG FIT] tier, tech depth 3/10
\ No newline at end of file
wiki/choice-visualizer.md
new file mode 100644
index 0000000..4b3a6a0
@@ -0,0 +1,24 @@
+---
+first_captured: 2026-03-26
+sources:
+- sources/ideaflow/2026-03-26_somehow-visualize-all-the-choices-i-could-make.md
+status: raw
+tags:
+- decision-making
+- visualization
+- software
+title: choice visualizer
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# choice visualizer
+
+visualize all the choices you could make in a given moment. an interesting exploration of agency — making the possibility space visible rather than just the default path. connects to the [[decision-helper|decision helper]] for the decision process side.
+
+---
+
+## timeline
+
+- [2026-03-26] captured — agency visualization
\ No newline at end of file
wiki/cluster-ai-tools.md
new file mode 100644
index 0000000..a1b8c92
@@ -0,0 +1,29 @@
+---
+ideas:
+- overnight-app-grinder
+- agents-md-research
+- llm-behavior-improvement
+- llm-physical-intuition
+- flapping-airplanes
+- quality-search
+- fact-checker
+- ai-onboarding
+- ai-conversationalist
+- ai-agent-reply
+tags:
+- ai
+- tools
+- research
+- agents
+title: AI tooling and research
+type: idea-cluster
+visibility: public
+---
+
+# AI tooling and research
+
+ideas about making AI itself better, and meta-tools for using AI to build things. the [[overnight-app-grinder|overnight app grinder]] is the most practical — autonomous overnight coding that cycles through accounts and logs blockers. the [[agents-md-research|AGENTS.md research]] and [[llm-behavior-improvement|LLM behavior improvement]] address the prompt engineering and reliability side.
+
+on the research end, [[llm-physical-intuition|LLM physical intuition]] and [[flapping-airplanes|training efficiency]] represent deeper questions about AI capability. the [[ai-conversationalist|AI conversationalist]] and [[ai-agent-reply|AI agent reply]] explore making AI more natural and autonomous in social contexts.
+
+the common thread: AI is powerful but still frustrating to use. these ideas attack that frustration from multiple angles — better prompting, better training, better tooling, and better autonomy.
\ No newline at end of file
wiki/cluster-habits-productivity.md
new file mode 100644
index 0000000..d7f6d76
@@ -0,0 +1,26 @@
+---
+ideas:
+- universal-habits
+- pause
+- ifttt-personal
+- invoking-thoughts
+- life-planning-app
+- task-scheduler
+- cookedness-tracker
+- anti-scrolling
+tags:
+- habits
+- productivity
+- automation
+title: habits and productivity
+type: idea-cluster
+visibility: public
+---
+
+# habits and productivity
+
+the second most recurring theme: systems for making yourself more effective through habit formation, reminders, and automation. the [[universal-habits|universal habits]] idea is the center of gravity — a context-aware system that knows when and how to remind you of behaviors you want to reinforce.
+
+[[pause|Pause]] was built and shipped as the simplest instantiation. the [[ifttt-personal|personal IFTTT]] provides the automation backbone. [[invoking-thoughts|invoking/imprinting thoughts]] pushes into emotional-sensory territory for deeper habit encoding. the [[life-planning-app|life planning app]] and [[task-scheduler|task scheduler]] handle the planning layer. [[cookedness-tracker|cookedness tracker]] and [[anti-scrolling|anti-scrolling tool]] are specific intervention points.
+
+the key unsolved problem: how to remind yourself of mindset habits ("think of other perspectives") that cannot be externally triggered — this is where [[invoking-thoughts|sensory memory replay]] becomes interesting.
\ No newline at end of file
wiki/cluster-hardware-wearable.md
new file mode 100644
index 0000000..3539d53
@@ -0,0 +1,25 @@
+---
+ideas:
+- sensor-capturer
+- smell-resetter
+- pupilometry-glasses
+- emg-bracelet
+- video-doorbell
+- instant-blanket
+- laser-sensors
+- personal-teleprompter
+tags:
+- hardware
+- wearable
+- hci
+- bci
+title: hardware and wearables
+type: idea-cluster
+visibility: public
+---
+
+# hardware and wearables
+
+ideas for physical devices spanning sensory capture ([[sensor-capturer|sensory recording]], [[smell-resetter|olfactory fatigue reset]]), human-computer interaction ([[pupilometry-glasses|eye tracking]], [[emg-bracelet|EMG bracelet]]), practical utility ([[video-doorbell|face recognition doorbell]], [[instant-blanket|warming blanket]], [[personal-teleprompter|teleprompter]]), and fun ([[laser-sensors|movie laser grid]]).
+
+the [[smell-resetter|smell resetter]] has the deepest research — extensive exploration of olfactory fatigue mechanisms, retronasal vs orthonasal delivery, and existing work in electronic noses. the [[sensor-capturer|sensor capturer]] is the most ambitious (rated highest impact in build-notes evaluation). the HCI devices ([[pupilometry-glasses|pupilometry]], [[emg-bracelet|EMG]]) may be superseded by Apple Vision Pro and Meta smart glasses.
\ No newline at end of file
wiki/cluster-hiring-work.md
new file mode 100644
index 0000000..cc53f54
@@ -0,0 +1,23 @@
+---
+ideas:
+- referral-hiring
+- job-tracking
+- oncue
+- ultimate-describer
+- consulting-software
+- b2b-competitive-analysis
+- comparison-engine
+tags:
+- hiring
+- business
+- software
+title: hiring and work tools
+type: idea-cluster
+visibility: public
+---
+
+# hiring and work tools
+
+ideas spanning both sides of the hiring process: for job seekers ([[oncue|OnCue]] for interview prep, [[college-essay-grader|essay grading]]) and for employers ([[referral-hiring|referral platform]], [[job-tracking|application tracking]], [[b2b-competitive-analysis|competitive analysis]]). the [[ultimate-describer|precision description engine]] serves both sides by making role descriptions and self-descriptions more precise. the [[consulting-software|consulting business]] is a meta-idea about selling software creation as a service.
+
+the most developed idea is [[oncue|OnCue]], which was built and presented. the [[referral-hiring|referral platform]] has the strongest business case ("companies are so desperate for talent"). the [[comparison-engine|comparison engine]] provides the evaluation infrastructure used across hiring and other decision domains.
\ No newline at end of file
wiki/cluster-learning-education.md
new file mode 100644
index 0000000..7ae14d0
@@ -0,0 +1,28 @@
+---
+ideas:
+- learning-suite
+- tutor-platform
+- project-designer
+- motivation-education
+- consciousness-for-students
+- youre-not-behind
+- intentionality-camp
+- intelligence-development
+- college-essay-grader
+- dense-info-generator
+tags:
+- education
+- learning
+- youth
+title: learning and education
+type: idea-cluster
+visibility: public
+---
+
+# learning and education
+
+a comprehensive vision for reimagining how people learn, spanning tools ([[learning-suite|learning suite]], [[dense-info-generator|dense info pages]], [[college-essay-grader|essay grading]]), human infrastructure ([[tutor-platform|exceptional tutors]], [[intentionality-camp|intentionality camps]]), and cultural change ([[motivation-education|student motivation]], [[consciousness-for-students|consciousness programs]], [[youre-not-behind|you're not behind movement]]).
+
+the core thesis from the [[motivation-education|motivation analysis]]: if students were genuinely motivated, all other education problems would dissolve. the [[learning-suite|learning suite]] attacks this from the tool side, the [[intentionality-camp|camp]] from the experiential side, and the [[youre-not-behind|anti-anxiety movement]] from the cultural side.
+
+the [[project-designer|project designer]] and [[intelligence-development|intelligence development]] ideas represent the more personalized end — not just teaching content but developing the capacity to learn and build.
\ No newline at end of file
wiki/cluster-memory-and-context.md
new file mode 100644
index 0000000..bfa63a5
@@ -0,0 +1,28 @@
+---
+ideas:
+- brain-rewinder
+- episodic-memory-builder
+- axon
+- me-model
+- life-search
+- always-on-ai-assistant
+- sensor-capturer
+- universal-data-capturer
+- memory-competitions
+tags:
+- memory
+- ai
+- context
+- wearable
+title: memory and context tools
+type: idea-cluster
+visibility: public
+---
+
+# memory and context tools
+
+the deepest recurring theme across all idea sources: how to capture, store, retrieve, and use personal context and memory. this cluster represents a full stack from hardware capture ([[sensor-capturer|sensory devices]], [[always-on-ai-assistant|always-on recording]]) through storage and indexing ([[axon|axon]], [[me-model|me model]], [[universal-data-capturer|data capturer]]) to retrieval and training ([[life-search|life search]], [[brain-rewinder|brain rewinder]], [[episodic-memory-builder|episodic memory builder]], [[memory-competitions|memory skills]]).
+
+the unifying insight: humans lose enormous amounts of valuable information — thoughts, conversations, experiences, context — and technology should help retain and resurface it. the approaches range from passive capture (always listening) to active training (episodic recall games) to sensory triggering (smell/sound-based memory invocation).
+
+the most practical near-term path is probably the always-on AI assistant that transcribes and indexes everything, combined with a good search interface. the hardware-intensive ideas (sensor capturer, brain wave devices) are longer-term.
\ No newline at end of file
wiki/cluster-search-discovery.md
new file mode 100644
index 0000000..cc5c54f
@@ -0,0 +1,22 @@
+---
+ideas:
+- universal-agentic-searcher
+- quality-search
+- life-search
+- events-sorter
+- foss-management
+- free-parking-finder
+tags:
+- search
+- ai
+- curation
+title: search and discovery
+type: idea-cluster
+visibility: public
+---
+
+# search and discovery
+
+ideas about finding things better — from universal research ([[universal-agentic-searcher|agentic searcher]]) to personal memory ([[life-search|life search]]) to quality curation ([[quality-search|quality content search]]) to specific domains ([[events-sorter|events]], [[foss-management|FOSS tools]], [[free-parking-finder|parking]]).
+
+the common insight: existing search (Google, LLM web search, deep research) all have gaps. the [[universal-agentic-searcher|universal searcher]] proposes a 10+ step research pipeline with adaptive feedback and real-time dashboards. the [[life-search|life search]] applies similar depth to personal data — "mgrep for life." the [[quality-search|quality filter]] adds a curation layer that rates content rather than just finding it.
\ No newline at end of file
wiki/cluster-social-networking.md
new file mode 100644
index 0000000..fef27c2
@@ -0,0 +1,26 @@
+---
+ideas:
+- connection-hub
+- discord-connections-mapper
+- vibe-matcher
+- fpv-teens
+- info-exchanger
+- referral-hiring
+- nueva-hacks
+tags:
+- social
+- networking
+- community
+- graph
+title: social network and connections
+type: idea-cluster
+visibility: public
+---
+
+# social network and connections
+
+ideas about connecting people, mapping relationships, and building communities. ranges from practical community building ([[connection-hub|Nueva Connection Hub]], [[fpv-teens|FPV Teens]], [[nueva-hacks|Nueva Hacks]]) through relationship infrastructure ([[discord-connections-mapper|connection mapping]] across platforms, [[referral-hiring|referral-based hiring]]) to algorithmic matching ([[vibe-matcher|vibe matcher]]).
+
+the deepest technical insight is the multi-platform relationship graph — scanning iMessage, Discord, LinkedIn, WhatsApp to build a unified people graph where networks can be combined and centroids identified. the [[info-exchanger|info exchanger]] addresses the cold-start problem of new connections.
+
+the community-building ideas (Connection Hub, FPV Teens) have been partially executed. the technical infrastructure ideas (connection mapper, vibe matcher) remain unexplored but have strong potential, especially for the hiring use case.
\ No newline at end of file
wiki/cognitive-foom.md
new file mode 100644
index 0000000..77482c7
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- agents
+- reasoning
+- software
+title: cognitive foom / recursive self-improvement infra
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# cognitive foom / recursive self-improvement infra
+
+build infra that makes AI agents better at reasoning through reflection and first-principles loops. the idea of building systems that recursively improve their own reasoning capabilities.
+
+**spreadsheet evaluation:** tech depth 9/10, labeled [STRONG] — "technically deep but fuzzy scope — needs tight scoping to work in 2mo." blue ocean analysis: RED/EMERGING positioning with low 2-month feasibility. the scope uncertainty is the main risk factor.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [STRONG] tier, 9/10 tech depth, RED/EMERGING blue ocean
\ No newline at end of file
wiki/college-essay-grader.md
new file mode 100644
index 0000000..65acbdd
@@ -0,0 +1,29 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- education
+- ai
+- embeddings
+- software
+title: college essay vector grader
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# college essay vector grader
+
+uses vector embeddings to compare essay drafts against successful essays with live distance-to-target metrics. the transparency of showing "how far am I from good" is the novel UX — unlike LumiSource and GradGPT which grade essays using AI trained on successful essays but don't expose vector embeddings or distance metrics to the user.
+
+needs a corpus of successful essays (legally tricky). the embedding visualization is the differentiator. could use open-source embedding models. connects to the [[ultimate-describer|precision description engine]] for the writing quality improvement angle and to [[oncue|OnCue]] for the application writing use case.
+
+**spreadsheet evaluation:** originality 7/10, excitement 7/10, MVP 2-4 weeks. tech depth 5/10, labeled [WRONG FIT] ("embeddings + cosine similarity — could be done in a weekend, not a month").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — 7/10 originality, 7/10 excitement, [WRONG FIT] tier
\ No newline at end of file
wiki/comparison-engine.md
new file mode 100644
index 0000000..6b44adb
@@ -0,0 +1,26 @@
+---
+first_captured: 2025-10-16
+sources:
+- sources/apple-notes/archived/comparison-engine.md
+status: raw
+tags:
+- decision-making
+- software
+- utility
+title: comparison engine
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# comparison engine
+
+a tool for any decision: people (hiring, dating, partnerships, hackathon teammates), events, food, buying things. accepts any kind of media input (intro videos, resumes, website links), displays in a side-by-side view with colors and relative rankings for different attributes. can auto-generate attributes from the inputs.
+
+the key UX requirement: "should be very quick and easy, upload some documents / writing / anything." connects to the [[decision-helper|decision helper]] for the process of deciding, and to the [[referral-hiring|hiring platform]] for the people-comparison use case specifically.
+
+---
+
+## timeline
+
+- [2025-10-16] feature spec in apple notes — inputs, display, auto-generated attributes
\ No newline at end of file
wiki/connection-hub.md
new file mode 100644
index 0000000..5e5cf7d
@@ -0,0 +1,35 @@
+---
+first_captured: 2025-08-23
+sources:
+- sources/apple-notes/archived/connection-hub.md
+- sources/apple-notes/archived/connection-hub-in-terms-of-cold-start.md
+status: built
+tags:
+- community
+- discord
+- nueva
+- social
+title: connection hub
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# connection hub
+
+a Nueva school community discord server for connecting, organizing, and sharing. built and launched — reached 29 members in three days. the thesis: as a freshman, joining every discord server was a shortcut to connecting with upperclassmen, and this server provides that shortcut to everyone.
+
+channels included: events/opportunities, homework help, introductions, meetups, 1-1s, off-topic. marketing was done through posting in existing discord servers (robotics, chess club, AI/ML club, math club, ultimate), direct invites with permanent links and convincing messages, and an in-person movie night.
+
+cold start problem was identified: had an atomic network with decent activity from a couple people, but needed a value proposition for others to participate. observation: "lots of ppl are looking at discord and will respond to pings but either dont care or dont have notifications on."
+
+this is a practical instantiation of the broader [[social-network-analysis|social network/connections]] interest. the [[fpv-teens|FPV teens]] idea was a similar community-building concept but for the broader bay area teen tech scene rather than just Nueva.
+
+---
+
+## timeline
+
+- [2025-08-23] thesis formed — cracked people at nueva don't share projects
+- [2025-09-28] improvements planned — more events, structure, seamless people-matching
+- [2025-09-29] activity message crafted for re-engagement
+- [2025-10-05] marketing optimization — permanent links, convincing messages
\ No newline at end of file
wiki/consciousness-for-students.md
new file mode 100644
index 0000000..e093b32
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-04-04
+sources:
+- sources/ideaflow/2026-04-04_helping-middle-and-high-schoolers-become-more-conscious.md
+status: raw
+tags:
+- education
+- youth
+- software
+title: student consciousness program
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# student consciousness program
+
+helping middle and high schoolers become more conscious — could leverage personal experience from being in middle school recently. could include interviewing middle school students and pulling in relevant memories.
+
+connects to the [[youre-not-behind|you're not behind machine]], the [[motivation-education|motivation in education]] thinking, and the [[intentionality-camp|intentionality camp]] concept.
+
+---
+
+## timeline
+
+- [2026-04-04] captured — student consciousness leveraging personal experience
\ No newline at end of file
wiki/consulting-software.md
new file mode 100644
index 0000000..e8eef12
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-02-09
+sources:
+- sources/ideaflow/2026-02-09_consulting-custom-software-business-where-we-just-go.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- business
+- software
+- consulting
+title: consulting / custom software business
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# consulting / custom software business
+
+go around making custom software for companies. audit, plan, make. "kinda like Palantir." this is a business model idea rather than a product idea — leveraging vibe coding and AI coding skills to rapidly build bespoke software for enterprise clients.
+
+**spreadsheet evaluation:** originality 3/10, excitement 3/10. competitive landscape: thousands of software consultancies exist (Thoughtbot, Pivotal Labs, Slalom, Accenture) — differentiation would come from niche, speed, or AI-augmented development, not the concept itself. not a product idea but a business model. could start by doing one project for someone you know and growing from there. tech depth 2/10, labeled [ARCHIVE] ("business model, not a project").
+
+---
+
+## timeline
+
+- [2026-02-09] captured — Palantir comparison, audit/plan/make workflow
+- [2026-04-10] google sheets evaluation — 3/10 originality, 3/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/context-window-optimizer.md
new file mode 100644
index 0000000..2122834
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- context-engineering
+- developer-tools
+- software
+title: context window optimizer
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# context window optimizer
+
+tooling for optimizing how coding agents use their context window — keeping utilization under 40%, intentional compaction, research/plan/implement phases. closely related to the [[spec-driven-dev|spec-driven dev kit]] but focused specifically on the context management layer.
+
+**spreadsheet evaluation:** blue ocean analysis: EMERGING with medium 2-month feasibility.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets blue ocean analysis — EMERGING, medium feasibility
\ No newline at end of file
wiki/conversations-recorded.md
new file mode 100644
index 0000000..7e523b1
@@ -0,0 +1,24 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- social
+- content
+- community
+title: conversations that actually happened
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# conversations that actually happened
+
+record actual conversations at events or hanging out, show people what it's like. encourage people to share theirs. "that was an interesting conversation, can I share a clip?" — open up to others sharing. some risks about sharing but seems ok. emphasizes what people are working on and the value of connection.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — content/community idea
\ No newline at end of file
wiki/convo-flow.md
new file mode 100644
index 0000000..a6470f0
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-01-01
+sources:
+- sources/ideaflow/2026-01-02_a-nice-trio-to-work-on.md
+- sources/ideaflow/2026-01-01_things-we-can-do.md
+status: built
+tags:
+- software
+- productivity
+- meetings
+title: convo-flow
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# convo-flow
+
+part of the "nice trio" alongside [[pause|Pause]] and ui-flow. a conversation tracking tool with features: statuses on top for unsure/completed/not complete, restricted topic bar height, autoscroll, and highlighting only new content in green.
+
+convo-flow was built as a project. connects to the [[oncue|OnCue]] concept for the meeting/interview context side.
+
+---
+
+## timeline
+
+- [2026-01-01] listed as active software project
+- [2026-01-02] detailed feature design in "nice trio"
\ No newline at end of file
wiki/cookedness-tracker.md
new file mode 100644
index 0000000..ed22d0a
@@ -0,0 +1,26 @@
+---
+first_captured: 2025-10-16
+sources:
+- sources/apple-notes/archived/cookedness-tracker.md
+status: raw
+tags:
+- focus
+- productivity
+- software
+title: cookedness tracker
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# cookedness tracker
+
+a little mental game you play every 5 minutes that checks if you are "cooked" (unfocused/distracted) and then you go reset. acknowledged: "defs distracting" as a concept. "better alternatives?" left as open question.
+
+connects to [[pause|Pause]] as a simpler version and to the [[universal-habits|universal habits]] system for the broader intervention framework.
+
+---
+
+## timeline
+
+- [2025-10-16] captured — self-check for focus, acknowledged paradox of distraction
\ No newline at end of file
wiki/cross-platform-bots.md
new file mode 100644
index 0000000..861e92b
@@ -0,0 +1,30 @@
+---
+first_captured: 2026-03-21
+sources:
+- sources/ideaflow/2026-03-21_cross-platform-bots.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- automation
+- productivity
+- software
+title: cross-platform notification bots
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# cross-platform notification bots
+
+bots that bridge platforms you do not check often. examples: weekly summary of LinkedIn activity, ping every time someone DMs on Slack. the core problem is attention fragmentation across too many platforms.
+
+this is a specific instantiation of the [[ifttt-personal|personal IFTTT]] concept and relates to the [[build-in-public|build/learn in public]] crossposter idea (which goes in the other direction — posting outward rather than pulling inward).
+
+**spreadsheet evaluation:** tech depth 4/10, labeled [WRONG FIT] ("API wiring, not deep tech"). the "agent to agent communication" variant (LinkedIn/dating/negotiation) is listed separately with tech depth 6/10 but also [WRONG FIT] ("interesting multi-agent problem but scope unclear").
+
+---
+
+## timeline
+
+- [2026-03-21] captured — LinkedIn and Slack examples
+- [2026-04-10] google sheets evaluation — [WRONG FIT] tier, tech depth 4/10
\ No newline at end of file
wiki/cultural-translator.md
new file mode 100644
index 0000000..b2b45f2
@@ -0,0 +1,32 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_translator-for-certain-philo-frameworks-culture-idea-sph.md
+- sources/apple-notes/archived/potential-projects-archived.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- language
+- culture
+- software
+- nlp
+title: cultural translator
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# cultural translator
+
+a translator that goes beyond language — translating across philosophical frameworks, culture spheres, types of people, and contexts. aspects: languages, academic/non-academic, political polarization, philosophical skew (rationalist, humanist, etc.), generational slang (gen alpha, gen z, gen x, millennials), domain-specific terminology (EA, politics, rationalism, college, Discord, iMessage, LGBTQ, sports, video games, friend group inside jokes, personal notation, corporate jargon).
+
+could also connect to voice typers for dictionary customization — create your own dictionaries for your personal notation. acknowledged as "could be offensive" given the sensitivity of translating between identity-linked language. connects to the [[ultimate-describer|precision description engine]] as the cross-context communication layer.
+
+**spreadsheet evaluation:** originality 10/10, excitement 6/10, MVP 1 weekend. competitive landscape: subculture slang translators exist (GenZ to English) but none translate between philosophical frameworks — no product frames translation as Rationalist to Humanist to Academic. entirely novel concept. fun and viral potential, LLM-powered single-page app, quality depends heavily on prompt engineering and training examples. tech depth 5/10, labeled [ARCHIVE] ("cool concept, unclear build").
+
+---
+
+## timeline
+
+- [2025-12-22] detailed taxonomy of translation dimensions
+- [2026-04-10] google sheets evaluation — 10/10 originality, 6/10 excitement, MVP 1 weekend, [ARCHIVE] tier
\ No newline at end of file
wiki/culture-fingerprint.md
new file mode 100644
index 0000000..fd881d9
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- personality
+- visualization
+- social
+title: culture fingerprint graphic
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# culture fingerprint graphic
+
+a really good graphic that represents a person's or company's culture fingerprint. some linear transformation from 16 personalities or something else. needs to be really good visually, low friction to add, embeddable on personal websites / company websites. "click me!" or be more lowkey.
+
+connects to the [[vibe-matcher|vibe matcher]] for the compatibility quantification angle.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — visualization/design concept
\ No newline at end of file
wiki/customer-support-ai.md
new file mode 100644
index 0000000..afc330a
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-02-16
+sources:
+- sources/ideaflow/2026-02-16_it-seems-like-a-general-problem-that-calling.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- automation
+- software
+title: customer support AI caller
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# customer support AI caller
+
+calling customer support is universally annoying. make AI do it for you. "idk" — acknowledged uncertainty about implementation but clear problem identification.
+
+**spreadsheet evaluation:** originality 1/10, excitement 0/10 (lowest in entire spreadsheet). already built and funded — Mitra AI (getmitra.com) and DialZero (godialzero.com) do exactly this. Mitra uses your caller ID and provides conversation summaries. skip this one. tech depth 3/10, labeled [ARCHIVE] ("API wiring").
+
+---
+
+## timeline
+
+- [2026-02-16] captured — clear problem, uncertain solution
+- [2026-04-10] google sheets evaluation — 1/10 originality, 0/10 excitement, already exists, [ARCHIVE]
\ No newline at end of file
wiki/data-selling-platform.md
new file mode 100644
index 0000000..56a1d20
@@ -0,0 +1,30 @@
+---
+first_captured: 2026-03-28
+sources:
+- sources/ideaflow/2026-03-28_crazy-fin-tech-idea-what-if-people-could.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- fintech
+- data
+- privacy
+title: data selling platform
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# data selling platform
+
+what if people could sell their data to big corporations (like Mercor does for AI training data)? a fintech idea that monetizes personal data with user consent and agency rather than the current model where it is taken for free.
+
+the spreadsheet clarifies the vision: "not in a scale ai kinda way, in a 'i upload my anonymized chat histories with ai' kinda way." more passive and low-skill than Mercor. for text, could have a thing that scrapes interactions; companies could pay like $1k for all of your data. listed in "best" top picks.
+
+**spreadsheet evaluation:** excitement 9/10 (one of the highest). tech depth 4/10, labeled [WRONG FIT] ("mostly biz/legal/product, not deep tech").
+
+---
+
+## timeline
+
+- [2026-03-28] captured — "crazy fin tech idea"
+- [2026-04-10] google sheets evaluation — 9/10 excitement, [WRONG FIT] tier, listed in top picks
\ No newline at end of file
wiki/decision-helper.md
new file mode 100644
index 0000000..6cb7203
@@ -0,0 +1,30 @@
+---
+first_captured: 2026-02-20
+sources:
+- sources/ideaflow/2026-02-20_interestingly-sides-is-not-really-helping-me-decide.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- decision-making
+- ai
+- software
+title: decision helper
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# decision helper
+
+the insight: "Sides" (a decision-making tool) is not really helping decide, just confusing. a better modality: AI asks you a series of questions in a forms-style UI (like a therapist diagnosing a situation), picks at your motivations, then boils down to the 3 most important factors and compares only those. the forms-style approach and the distillation-to-essentials approach are not mutually exclusive.
+
+this is the decision process complement to the [[comparison-engine|comparison engine]] which focuses on displaying options side-by-side. the decision helper is about understanding your own priorities.
+
+**spreadsheet evaluation:** originality 8/10, excitement 5/10, MVP 1-2 weeks. competitive landscape: Rationale by Jina AI analyzes a stated decision but never asks sequential diagnostic questions, AI therapy chatbots (Woebot, Wysa) probe feelings but don't distill decisions — no product combines forms-style UX + sequential probing + factor distillation. core challenge is prompt engineering the diagnostic flow. could ship as a single-page web app. tech depth 3/10, labeled [ARCHIVE] ("prompt engineering project").
+
+---
+
+## timeline
+
+- [2026-02-20] captured — critique of existing decision tools, therapist-style AI approach
+- [2026-04-10] google sheets evaluation — 8/10 originality, 5/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/dense-info-generator.md
new file mode 100644
index 0000000..9447718
@@ -0,0 +1,31 @@
+---
+first_captured: 2026-03-21
+sources:
+- sources/ideaflow/2026-03-21_have-a-generator-of-a-dense-page-of.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- learning
+- ai
+- search
+- software
+title: dense info page generator
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# dense info page generator
+
+generate a dense page of info to read up on any topic. "what should I know about networking?" — covers neuroscience, deploying apps, vibe coding, whatever the topic is. the output should have nuanced takes, valuable and actionable info, sources, high quality and stress-tested learnings from blog posts and YouTube, and strategies.
+
+a key feature: a calibration system for reading level / technicality so the output matches your background. connects to the [[learning-suite|learning suite]] for the broader learning optimization vision and to the [[quality-search|quality content search]] for finding the good source material.
+
+**spreadsheet evaluation:** tech depth 7/10, labeled [STRONG] ("RAG + quality scoring + calibrated output — interesting retrieval/ranking problem, could demo well").
+
+---
+
+## timeline
+
+- [2026-03-21] captured — dense info with calibrated technicality
+- [2026-04-10] google sheets evaluation — tech depth 7/10, [STRONG] tier
\ No newline at end of file
wiki/discord-connections-mapper.md
new file mode 100644
index 0000000..13354c0
@@ -0,0 +1,42 @@
+---
+first_captured: 2026-01-24
+sources:
+- sources/ideaflow/2026-01-24_make-a-discord-friends-connections-mapper-could-have.md
+- sources/ideaflow/2026-02-02_building-onto-linked-note-jmxs1vooyr-also-make-a.md
+- sources/ideaflow/2026-02-09_expanding-linked-note-jmxs1vooyr-we-can-go-to.md
+- sources/ideaflow/2026-03-28_universal-connections-sdk-as-a-lib.md
+- sources/google-sheets-ideas.md
+status: explored
+tags:
+- social
+- discord
+- graph
+- networking
+- software
+title: discord connections mapper
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# discord connections mapper
+
+starting point: map discord friends as a graph with servers clustered in the background near the people who use them. expanded to include auto-friending everyone in a server and sending automated messages.
+
+the bigger vision expanded to many platforms — iMessage/contacts, LinkedIn, Discord, WhatsApp — scanning everything like Dex to build a people graph. critically, people can combine their networks: for planning events (invite people who will vibe), for teams leveraging employee connections for hiring/funding, for fun between friends, or for building a radical community network. sharing can be restricted to certain lists (e.g., school network for business networking).
+
+key features: view mutuals across platforms, identify centroids and sparse regions in networks, suggest people to meet. noted as similar to Svoi in the "friend of friend" model. the "universal connections SDK as a lib" variant packages this as developer infrastructure.
+
+update: Talunt is doing something similar for warm connections in hiring. connects to the [[referral-hiring|referral-based hiring]] idea and the broader [[social-network-analysis|social network analysis]] cluster.
+
+**spreadsheet evaluation:** the spreadsheet contains two related entries. "Server Connection Mapper" (discord-specific) scored originality 7/10, excitement 8/10, MVP 2-4 weeks — multi-server clustering angle is novel vs existing tools (Discograph, mutualmap) which only map mutual friends. "Relationship Graph / Centroid Mapper" (cross-platform: iMessage + LinkedIn + Discord) scored originality 9/10, excitement 8/10, MVP 4-8 weeks — no product unifies these three platforms with consent-based merging and centroid finding. data access is the hard part (iMessage requires local DB, LinkedIn API locked down, Discord API restrictive). the "Discord Auto-Friend" utility scored originality 1/10 — already built (dFriend, discord-friend-adder) and carries TOS violation risk. tech depth: relationship graph 7/10 [STRONG], server mapper 7/10 — good demo potential and hiring/networking startup angle.
+
+---
+
+## timeline
+
+- [2026-01-24] initial discord mapper idea
+- [2026-02-02] extension: auto-friend and auto-message
+- [2026-02-09] expansion to multi-platform, network combining, hiring/events use cases
+- [2026-03-28] universal connections SDK variant
+- [2026-04-10] google sheets evaluation — server mapper 7/10 originality, 8/10 excitement; relationship graph 9/10 originality, 8/10 excitement; [STRONG] tech depth tier
\ No newline at end of file
wiki/eco-community.md
new file mode 100644
index 0000000..16de04b
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-01-19
+sources:
+- sources/ideaflow/2026-01-19_a-super-environmentally-safe-community-area-that-is.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- environment
+- real-estate
+- climate
+title: eco-safe community
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# eco-safe community
+
+a super environmentally safe community/area that is ultra clean, targeting super rich people who want to invest in climate-resilient real estate that will become very valuable as climate gets worse. a long-term real estate play on climate change.
+
+**spreadsheet evaluation:** originality 8/10, excitement 6/10. competitive landscape: luxury survivalist compounds exist (Trident Lakes, Vivos xPoint) but frame around doomsday prep not climate-resilience investing — Babcock Ranch FL is climate-adapted but not marketed as investment vehicle for HNW individuals. not a software project — requires massive capital and expertise. could start as a research report or investment thesis. tech depth 2/10, labeled [ARCHIVE] ("real estate, not tech").
+
+---
+
+## timeline
+
+- [2026-01-19] captured — climate-proof luxury community
+- [2026-04-10] google sheets evaluation — 8/10 originality, 6/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/eeg-artifact-rejection.md
new file mode 100644
index 0000000..fda004d
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- neurotech
+- ml
+- signal-processing
+- hardware
+title: EEG artifact rejection (self-supervised)
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# EEG artifact rejection (self-supervised)
+
+a self-supervised approach to EEG artifact rejection — cleaning neural signals without labeled training data. connects to the [[sensor-capturer|BCI / read-imprinting device]] work and Harrison's Orbit EEG experience.
+
+**spreadsheet evaluation:** blue ocean analysis: NEAR BLUE with high 2-month feasibility — one of only two NEAR BLUE ideas and rated high feasibility, making it one of the strongest candidates in the entire spreadsheet for actual execution.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets blue ocean analysis — NEAR BLUE, high feasibility
\ No newline at end of file
wiki/embedding-tone-interpolation.md
new file mode 100644
index 0000000..02b011a
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- nlp
+- writing
+- embeddings
+- software
+title: embedding tone interpolation for writing
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# embedding tone interpolation for writing
+
+embeddings for text in meaning but also representation space — separate the two, then interpolate between representation space for tone, concision, etc. "really good for people who need to write a lot." the key insight is that meaning and style/tone are separable dimensions in embedding space and you should be able to slide between tones while preserving meaning.
+
+listed in "best" top picks. connects to the [[ultimate-describer|precision description engine]] for the writing quality angle and to the [[cultural-translator|cultural translator]] for cross-context style transfer.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets "best" picks — embedding interpolation for writing tone
\ No newline at end of file
wiki/emg-bracelet.md
new file mode 100644
index 0000000..c3e9dfc
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-03-28
+sources:
+- sources/ideaflow/2026-03-28_build-better-emg-gyro-bracelet-than-meta-smart.md
+status: raw
+tags:
+- hardware
+- hci
+- wearable
+- bci
+title: EMG + gyro bracelet
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# EMG + gyro bracelet
+
+build a better EMG + gyroscope bracelet than Meta's smart glasses wristband for hands-free computer control from far away — no-mouse cursor control, clicking, and shortcuts. the demo would be controlling a computer without touching it.
+
+this is the wrist-based version of the [[pupilometry-glasses|pupilometry glasses]] eye-tracking approach. both address the same problem: hands-free computer interaction. the bracelet approach may be more practical since it does not require glasses and EMG can detect fine hand gestures.
+
+---
+
+## timeline
+
+- [2026-03-28] captured — emphasis on building a "hella cool demo"
\ No newline at end of file
wiki/episodic-memory-builder.md
new file mode 100644
index 0000000..dbee10a
@@ -0,0 +1,31 @@
+---
+first_captured: 2026-02-16
+sources:
+- sources/ideaflow/2026-02-16_episodic-memory-builder.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- memory
+- cognition
+- app
+- software
+title: episodic memory builder
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# episodic memory builder
+
+an app that improves your episodic memory by prompting you to recall things — what did you eat for breakfast, what happened at that party, where did you hear that fact. the insight came from the experience of recalling a day and finding it both useful (surfacing follow-ups) and pleasant (exercising memory retrieval).
+
+the connection to memory competitions (like Claire Wang's) is noted in a separate capture about [[memory-competitions|becoming good at memory things]]. this is also adjacent to the [[brain-rewinder|brain rewinder]] concept, but approaches the problem from the training side rather than the tooling side. the [[always-on-ai-assistant|always-on AI assistant]] could feed context into this to make prompts more specific and useful.
+
+**spreadsheet evaluation:** originality 8/10, excitement 5/10, MVP 1 weekend. competitive landscape: Recall (recallmem.com) quizzes on photo-based memories but is photo-centric not text-prompt, Lumosity/Elevate use abstract exercises not personal episodic recall — no app uses personal daily prompts specifically for episodic memory training. simple app concept — could be a daily push notification + text input. research-backed angle (spaced retrieval practice) adds credibility. tech depth 3/10, labeled [ARCHIVE] ("simple app").
+
+---
+
+## timeline
+
+- [2026-02-16] captured in ideaflow — noted simplicity of concept ("just like, what did you eat for breakfast?")
+- [2026-04-10] google sheets evaluation — 8/10 originality, 5/10 excitement, MVP 1 weekend, [ARCHIVE] tier
\ No newline at end of file
wiki/events-sorter.md
new file mode 100644
index 0000000..e7453e1
@@ -0,0 +1,29 @@
+---
+first_captured: 2025-10-16
+sources:
+- sources/apple-notes/archived/events-sorter.md
+- sources/apple-notes/archived/build-notes.md
+status: raw
+tags:
+- events
+- ai
+- software
+- utility
+title: events sorter
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# events sorter
+
+a webapp that takes a list of events (links, titles, descriptions) and personal context (a block of text about you), then ranks them by how much you would like them. minimalist UI, very easy to use, no slowness. uses Claude API for the ranking.
+
+extensive list of existing event/social platforms was compiled: Fever, Kumele, CityLocializer, HobbyTwin, Nextdoor, Eventful, Meetup, Eventbrite, AllEvents, Reclaim. none of them do personalized ranking well. from build-notes (10.16): identified as a "really simple 5h implementation" compared to heavier projects like axon or tellwell.
+
+---
+
+## timeline
+
+- [2025-10-16] identified as simple quick-win project in build-notes
+- [2025-10-16] detailed planning in apple notes with competitor research
\ No newline at end of file
wiki/fact-checker.md
new file mode 100644
index 0000000..864948f
@@ -0,0 +1,24 @@
+---
+first_captured: 2026-03-27
+sources:
+- sources/ideaflow/2026-03-27_fact-check-wikipedia-other-sources-of-truth-such.md
+status: raw
+tags:
+- ai
+- verification
+- software
+title: fact checker for sources of truth
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# fact checker for sources of truth
+
+fact check Wikipedia and other sources of truth (documentation, etc.) using language models. automated verification of claims against primary sources.
+
+---
+
+## timeline
+
+- [2026-03-27] captured — LLM-based fact checking
\ No newline at end of file
wiki/flapping-airplanes.md
new file mode 100644
index 0000000..2f5f6ba
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-07
+sources:
+- sources/ideaflow/2026-04-07_possible-flapping-airplanes-directions.md
+status: raw
+tags:
+- ai
+- research
+- training
+- efficiency
+title: flapping airplanes research directions
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# flapping airplanes research directions
+
+possible research directions in AI training efficiency: adaptive computation / inference-time scaling (easy inputs get fewer FLOPs), layer-skipping architectures, "nice collocation methods" (cleverly coupling architecture, training dynamics, and data sampling), training curriculums for efficacy (easier examples first, gradually increasing difficulty), and reworking pretraining data selection/transformation so models learn more from less.
+
+connects to the [[llm-physical-intuition|LLM physical intuition]] research and to the broader [[llm-behavior-improvement|LLM behavior improvement]] interest.
+
+---
+
+## timeline
+
+- [2026-04-07] captured — five research directions for training efficiency
\ No newline at end of file
wiki/food-spoilage-scanner.md
new file mode 100644
index 0000000..f062c37
@@ -0,0 +1,29 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_look-at-a-certain-food-and-it-looks.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- cv
+- food
+- software
+- utility
+title: food spoilage scanner
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# food spoilage scanner
+
+look at food that looks suspicious, scan it, and send to a classifier to check whether it is spoiled. simple CV application with clear utility.
+
+**spreadsheet evaluation:** originality 1/10, excitement 2/10. already built — Freshify (iOS) detects 10000+ signs of spoilage from a phone photo, Fresh Checker: AI Food Scanner (iOS) does the same. multiple apps on iOS App Store. tech depth 2/10, labeled [ARCHIVE] ("simple CV — done before").
+
+---
+
+## timeline
+
+- [2025-12-22] captured — food looks sus, scan it
+- [2026-04-10] google sheets evaluation — 1/10 originality, 2/10 excitement, already exists, [ARCHIVE]
\ No newline at end of file
wiki/foss-management.md
new file mode 100644
index 0000000..a9700a7
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- open-source
+- infrastructure
+- software
+title: FOSS software management platform
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# FOSS software management platform
+
+crawlers, agent-based testing/rating, packaging for open source software. real infrastructure work — surfaces to the [[pain-points-oss|pain points to OSS builder matching]] concept.
+
+**spreadsheet evaluation:** tech depth 7/10, labeled [STRONG] ("real infra work — lower ceiling on impressiveness but solid engineering").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [STRONG] tier, 7/10 tech depth
\ No newline at end of file
wiki/fpv-teens.md
new file mode 100644
index 0000000..37018cf
@@ -0,0 +1,28 @@
+---
+first_captured: 2025-10-16
+sources:
+- sources/apple-notes/archived/fpv-teens.md
+status: raw
+tags:
+- community
+- networking
+- youth
+title: FPV teens / bay area teen tech community
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# FPV teens / bay area teen tech community
+
+the alternative to TKS and Nueva and randomly reaching out for networking / meeting cool new people. start with a Discord server and host an event. branding similar to TKS: braindates normalized, talking normalized.
+
+marketing plan: reach schools through contacts (Tyler for KLS, Anishka for SM High, Analise for Lick, Naila/Jonah for UHS, Paly, Gunn, Xander for Menlo, Harker, Crystal Springs, Sacred Heart, Pinewood, Kings, Burlingame High). make a flyer, get people to repost on Instagram, X, etc.
+
+this is the bay-area-wide version of the [[connection-hub|Nueva Connection Hub]]. commitment estimated as low: 30m for branding, 1-3h of marketing.
+
+---
+
+## timeline
+
+- [2025-10-16] planned — school contacts, marketing approach, branding
\ No newline at end of file
wiki/free-parking-finder.md
new file mode 100644
index 0000000..6607622
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-03-17
+sources:
+- sources/ideaflow/2026-03-17_have-ai-check-for-streets-where-i-can.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- maps
+- utility
+- software
+title: free parking finder
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# free parking finder
+
+have AI check for streets where you can park for free. analyze parking regulations, time limits, and availability to find free parking options.
+
+**spreadsheet evaluation:** excitement 7/10. tech depth 3/10, labeled [ARCHIVE] ("maps/data project — small").
+
+---
+
+## timeline
+
+- [2026-03-17] captured — AI-powered free parking discovery
+- [2026-04-10] google sheets evaluation — 7/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/fruit-delivery.md
new file mode 100644
index 0000000..829ba73
@@ -0,0 +1,25 @@
+---
+first_captured: 2026-02-25
+sources:
+- sources/ideaflow/2026-02-25_fruit-delivery-system-that-picks-good-fruit.md
+status: raw
+tags:
+- food
+- delivery
+- drones
+- software
+title: fruit delivery with quality picking
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# fruit delivery with quality picking
+
+a fruit delivery system that picks good fruit. fruit is small so a drone could work. needs pinpoint delivery accuracy and a routing algorithm. the key differentiator is quality selection — picking fruit that is actually good rather than random.
+
+---
+
+## timeline
+
+- [2026-02-25] captured — drone delivery with quality picking
\ No newline at end of file
wiki/generational-disconnect.md
new file mode 100644
index 0000000..97e7e2c
@@ -0,0 +1,26 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/obsidian/home/ideas/disconnection_between_generations.md
+status: raw
+tags:
+- social
+- culture
+- youth
+title: bridging generational disconnect
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# bridging generational disconnect
+
+with airpods, memes, and internet content, younger generations are becoming more disconnected from older generations, especially between child and parent. as seen in Didi (2024), kids do not trust their parents for different needs due to disconnect, and instead seek out other sources of comfort or mentorship.
+
+how to bridge the gap? connects to the [[cultural-translator|cultural translator]] for cross-generational communication.
+
+---
+
+## timeline
+
+- [2025-12-22] captured in obsidian — Didi film as illustration
\ No newline at end of file
wiki/google-shortcuts-extension.md
new file mode 100644
index 0000000..6e639b0
@@ -0,0 +1,33 @@
+---
+first_captured: 2026-01-20
+sources:
+- sources/ideaflow/2026-01-20_bro-google-calendar-and-google-tasks-and-other.md
+- sources/ideaflow/2025-12-22_extension-that-finds-the-button-you-press-most.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- productivity
+- browser
+- extension
+- software
+title: google shortcuts extension
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# google shortcuts extension
+
+Google Calendar, Google Tasks, Google Docs, and Drive are all missing important keyboard shortcuts. examples: gdoc highlighter shortcut, calendar switch-to-task shortcut. make an extension that identifies UI elements and maps shortcuts to them. "shouldn't be too hard to identify the thing and click on it."
+
+the broader variant: an extension that finds the button you press most on specific pages and lets you do it with a shortcut. evaluated and considered not that great — patterns are not consistent enough. even voice-to-click or focus-space-with-key-regions are not amazing. "something that would be good is a general purpose voice to computer control thing."
+
+**spreadsheet evaluation:** the google workspace shortcut enhancer scored originality 7/10, excitement 4/10, MVP 1-2 weeks — no extension adds cross-app shortcuts to Google Workspace, niche but sticky for power users. the browser shortcut finder scored originality 5/10, excitement 3/10, MVP 1 weekend — auto-detecting most-clicked elements is original but utility questionable. tech depth 2/10 for both, labeled [ARCHIVE] ("tiny extension").
+
+---
+
+## timeline
+
+- [2025-12-22] button frequency analysis variant — decided not that great
+- [2026-01-20] google-specific shortcuts variant
+- [2026-04-10] google sheets evaluation — workspace 7/10 originality, 4/10 excitement; browser finder 5/10 originality, 3/10 excitement; both [ARCHIVE]
\ No newline at end of file
wiki/hard-docs-writer.md
new file mode 100644
index 0000000..94f11cd
@@ -0,0 +1,29 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- developer-tools
+- documentation
+- software
+title: hard software component docs writer
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# hard software component docs writer
+
+the observation: Claude and Codex were kinda failing on working with Prisma — is it a bad/outdated tool? a good way to deal with this is to ask it to look at the codebase and scan for things it's not confident on how to deal with, then note exactly how to deal with it correctly in AGENTS.md. "kinda like spec but for weird parts of the codebase."
+
+this is a meta-tool for AI-assisted development: automating the creation of documentation for the parts of a codebase where AI agents struggle. connects to the [[spec-driven-dev|spec-driven dev kit]] idea and the broader context engineering interest.
+
+**spreadsheet evaluation:** excitement 8/10. tech depth 7/10, labeled [STRONG] ("static analysis + LLM + codebase understanding — solves a real pain, not super flashy but useful").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — 8/10 excitement, [STRONG] tier
\ No newline at end of file
wiki/idea-extraction-system.md
new file mode 100644
index 0000000..596d1ae
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-03-28
+sources:
+- sources/ideaflow/2026-03-28_systematized-way-to-simplify-and-extract-the-core.md
+status: raw
+tags:
+- ai
+- research
+- abstraction
+- software
+title: core idea extraction system
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# core idea extraction system
+
+a systematized way to simplify and extract core ideas, generalized across: latent vectorization of words/sketches/EEG, symbolic regression (learning the rule), extracting ideas from transcripts, extracting principles from examples, taking EEG and extracting essential features, generalized interpretable ICA/PCA, history/english argument formulation from sources, and running research experiments.
+
+this is a meta-tool for abstraction itself. connects to the [[writing-tools|writing tools]] for the language side and to the [[agents-md-research|AGENTS.md research]] for the prompt optimization application.
+
+---
+
+## timeline
+
+- [2026-03-28] captured — generalized abstraction across modalities
\ No newline at end of file
wiki/idea-tester.md
new file mode 100644
index 0000000..db7834f
@@ -0,0 +1,26 @@
+---
+first_captured: 2025-10-16
+sources:
+- sources/apple-notes/archived/idea-tester-feedback-giver.md
+status: raw
+tags:
+- ai
+- validation
+- software
+title: idea tester / feedback giver
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# idea tester / feedback giver
+
+runs quick searches on what your idea could do, does market research, talks about concerns especially for marketing and building. "kinda like that 'will my MVP work' thing from that one woman who was kinda famous."
+
+also referenced: Alex Reibman's approach to idea validation. connects to the [[project-suggestor|project suggestor]] (which suggests ideas) and the [[b2b-competitive-analysis|competitive analysis grinder]] (which does the market side).
+
+---
+
+## timeline
+
+- [2025-10-16] captured in apple notes — market research and concern analysis
\ No newline at end of file
wiki/ifttt-personal.md
new file mode 100644
index 0000000..5934bca
@@ -0,0 +1,32 @@
+---
+first_captured: 2026-02-16
+sources:
+- sources/ideaflow/2026-02-16_ifttt-for-me-eg-computer-scanning-for-text.md
+- sources/ideaflow/2026-02-19_linked-note-bfrfczyqoi.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- automation
+- productivity
+- software
+title: personal IFTTT
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# personal IFTTT
+
+IFTTT-style automation for personal use — computer scanning for text patterns, reminders, etc. example use case: "if finish data box, send something to charlotte." current workaround is setting lots of reminders manually.
+
+this overlaps significantly with the [[universal-habits|universal habits]] concept (which described itself as "kinda like IFTTT but automatically create things"). the difference is that personal IFTTT focuses on task-triggered actions while universal habits focuses on contextual behavior change. both need the same infrastructure: event detection, context gathering, action triggering.
+
+**spreadsheet evaluation:** originality 7/10, excitement 8/10, MVP 2-4 weeks. competitive landscape: Hazel (Mac, $42) watches folders but is Mac-only and file-scoped, IFTTT/Zapier are cloud-service-to-service only, Keyboard Maestro does local triggers but is macro-focused — no cross-platform consumer tool scans broadly for local text patterns and triggers actions. scope creep risk noted as huge; MVP should focus on one trigger type (e.g. clipboard monitoring). tech depth ranked at moderate level.
+
+---
+
+## timeline
+
+- [2026-02-16] initial capture — computer scanning for patterns
+- [2026-02-19] follow-up — current solution is "hella reminders"
+- [2026-04-10] google sheets evaluation — 7/10 originality, 8/10 excitement, MVP 2-4 weeks
\ No newline at end of file
wiki/info-exchanger.md
new file mode 100644
index 0000000..26b53b5
@@ -0,0 +1,30 @@
+---
+first_captured: 2026-01-06
+sources:
+- sources/ideaflow/2026-01-06_very-basic-info-exchanger-before-talking-just-like.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- social
+- networking
+- software
+title: info exchanger
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# info exchanger
+
+a very basic info exchanger before talking to someone. just send them a link, they open it, pair, and answer some super simple conversation-inducing questions. reduces cold-start anxiety in conversations by giving both parties some shared context.
+
+connects to the [[vibe-matcher|vibe matcher]] for the broader people-matching vision and to [[oncue|OnCue]] for the self-description component.
+
+**spreadsheet evaluation:** originality 9/10, excitement 5/10, MVP 1 weekend. competitive landscape: Donut matches randomly, dating apps provide profiles, Slido does in-meeting icebreakers — no product serves as a lightweight mutual pre-meeting questionnaire exchanged before the conversation happens. dead simple product — the hard part is getting adoption into people's meeting flow. tech depth 2/10, labeled [ARCHIVE] ("simple tool").
+
+---
+
+## timeline
+
+- [2026-01-06] captured — simple paired Q&A before conversations
+- [2026-04-10] google sheets evaluation — 9/10 originality, 5/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/instagram-post-checker.md
new file mode 100644
index 0000000..0eb2355
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- social-media
+- ai
+- software
+title: instagram post checker
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# instagram post checker
+
+before posting on Instagram, AI checks if the post is "tough" — flags any issues, cringe, potential misinterpretations, or problems. from Alexis Choi. simple LLM-powered tool: send image + caption, get feedback.
+
+**spreadsheet evaluation:** originality 5/10, excitement 3/10, MVP 1 weekend. competitive landscape: Grammarly and LanguageTool check text, AI image analyzers exist — no product specifically serves as a pre-post social media vibe-check combining image + caption + context analysis. low technical complexity, value is in prompt quality. tech depth 2/10, labeled [ARCHIVE] ("simple classifier").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — 5/10 originality, 3/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/instant-blanket.md
new file mode 100644
index 0000000..8acf847
@@ -0,0 +1,24 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_a-blanket-that-is-really-cheap-and-can.md
+- sources/apple-notes/archived/potential-projects-archived.md
+status: raw
+tags:
+- hardware
+- consumer
+title: instant warming blanket
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# instant warming blanket
+
+a blanket that is really cheap and can immediately make someone warm completely, not just in certain parts. the "completely" and "immediately" are the key differentiators from existing heated blankets.
+
+---
+
+## timeline
+
+- [2025-12-22] captured — cheap, instant, full-body warmth
\ No newline at end of file
wiki/intelligence-development.md
new file mode 100644
index 0000000..2a1b6ea
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-03-28
+sources:
+- sources/ideaflow/2026-03-28_interesting-post-from-here.md
+status: raw
+tags:
+- education
+- cognition
+- business
+title: intelligence development startup
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# intelligence development startup
+
+inspired by a LessWrong post on understanding your own cognitive edge. connected to debates about nature vs nurture, how to raise amazing children, how to develop intelligence, whether base intelligence exists.
+
+the idea: a startup that systematically develops people's intelligences and works with them to learn more skills. could be consumer, enterprise, education/schools, or elite-targeted. connects to the [[learning-suite|learning suite]] for the curriculum side and to the [[consciousness-for-students|student consciousness]] idea for the K-12 angle.
+
+---
+
+## timeline
+
+- [2026-03-28] captured — LessWrong inspiration, multiple market segments
\ No newline at end of file
wiki/intentionality-camp.md
new file mode 100644
index 0000000..1ff3219
@@ -0,0 +1,29 @@
+---
+first_captured: 2025-08-31
+sources:
+- sources/apple-notes/archived/intentionality-reflection-camp-program.md
+- sources/apple-notes/archived/build-notes.md
+status: raw
+tags:
+- education
+- youth
+- program
+title: intentionality + reflection camp
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# intentionality + reflection camp
+
+a 1-2 week camp/program that makes people very cracked / primed to be really cracked. "orbit visit but without anything bad." Dirac's feedback: "might be tough because hard to do one size fits all."
+
+evaluation: will learn so much, not that good at organizing right now but decent at coming up with ideas, some people will care (not crazy impact).
+
+connects to the [[consciousness-for-students|student consciousness]] program and the [[youre-not-behind|you're not behind]] movement for the broader youth development vision.
+
+---
+
+## timeline
+
+- [2025-08-31] evaluated — high learning, medium impact
\ No newline at end of file
wiki/invoking-thoughts.md
new file mode 100644
index 0000000..2876cbd
@@ -0,0 +1,29 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_invokingimprinting-thoughts.md
+status: raw
+tags:
+- habits
+- memory
+- bci
+- software
+title: invoking / imprinting thoughts
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# invoking / imprinting thoughts
+
+for something like [[pause|Pause]] trying to make you remember an idea (e.g. "don't eat too many sweets"), the text description should be much better — with anecdote or specific feeling, not just "diminishing returns." use emojis, caps, or something that surprises you.
+
+one step further: some other tech that could be very strong for habits — remember some experience of a good habit or bad habit periodically or right before the relevant moment. could even be triggered by context. should be very brief and very useful.
+
+this extends the [[universal-habits|universal habits]] concept from reminders to emotional-sensory memory replay. connects to the [[brain-rewinder|brain rewinder]] for the recall mechanism.
+
+---
+
+## timeline
+
+- [2025-12-22] captured — critique of Pause's reminder text, sensory habit triggering
\ No newline at end of file
wiki/job-tracking.md
new file mode 100644
index 0000000..635fbec
@@ -0,0 +1,31 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_job-application-tracking-platform-that-immediately-shows-i.md
+- sources/apple-notes/archived/potential-projects-archived.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- hiring
+- software
+- utility
+title: job application tracker
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# job application tracker
+
+a job application tracking platform that immediately shows important info and differentiates real people from fake applicants with high certainty. the problem: existing platforms (like Ryan's) only show messages, where patterns might hint at fakes but nothing is definitive. the solution should tell with 100% certainty whether applicants are genuine and whether they will be good fits.
+
+this is the employer-side complement to [[oncue|OnCue]] (which helps applicants) and connects to the [[referral-hiring|referral-based hiring platform]] (which approaches the same problem through trust networks rather than detection).
+
+**spreadsheet evaluation:** originality 6/10, excitement 6/10, MVP 4-8 weeks. competitive landscape: Lever, Greenhouse, Ashby are ATS platforms but don't auto-detect fake applicants or cross-reference external platforms, applicant AI fraud detection is emerging (HireVue, Paradox) but not as a standalone platform feature — the fake-applicant-filtering angle is timely. cold start problem — needs employer adoption. could MVP as a layer on top of existing ATS via API integration. tech depth 3/10, labeled [ARCHIVE] ("commodity product").
+
+---
+
+## timeline
+
+- [2025-12-22] captured — critique of existing platforms, need for better signal
+- [2026-04-10] google sheets evaluation — 6/10 originality, 6/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/keystroke-music.md
new file mode 100644
index 0000000..0a390c3
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-03-20
+sources:
+- sources/ideaflow/2026-03-20_every-keystroke-becomes-a-note-in-a-classical.md
+- sources/obsidian/home/ideas/song.md
+status: built
+tags:
+- music
+- software
+- creative
+- browser
+title: keystroke classical music
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# keystroke classical music
+
+every keystroke becomes a note in a classical masterpiece. typing advances through Clair de Lune, Gymnopedie, or Moonlight Sonata. type fast and the melody rushes forward; slow down and it lingers. available as a Firefox extension. "no musical skill required. just type, and the music follows."
+
+this was built as kbs (keyboardsounds). the obsidian song.md note explored music interests more broadly — songwriting with Miah, specific styles with lots of non-lyrical sections, and "AI song writer?? (probs good idea)."
+
+---
+
+## timeline
+
+- [2026-03-20] detailed concept captured — classical piano pieces during typing
\ No newline at end of file
wiki/laser-sensors.md
new file mode 100644
index 0000000..212bb7b
@@ -0,0 +1,23 @@
+---
+first_captured: 2025-12-25
+sources:
+- sources/ideaflow/2025-12-25_tbh-make-one-of-those-laser-sensors-from.md
+status: raw
+tags:
+- hardware
+- fun
+title: laser sensors from movies
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# laser sensors from movies
+
+"tbh make one of those laser sensors from movies." a fun hardware project building the classic laser grid security system from heist movies.
+
+---
+
+## timeline
+
+- [2025-12-25] captured — Christmas day idea
\ No newline at end of file
wiki/learning-suite.md
new file mode 100644
index 0000000..2f89ad8
@@ -0,0 +1,42 @@
+---
+first_captured: 2025-12-23
+sources:
+- sources/ideaflow/2025-12-23_learning-suite.md
+- sources/ideaflow/2025-12-23_for-linked-note-11oiotus60-bigprojectidea-want-a-note.md
+- sources/ideaflow/2025-12-22_learning-projectidea.md
+- sources/ideaflow/2026-04-01_learningmanagementsystem.md
+- sources/apple-notes/archived/potential-projects-archived.md
+- sources/google-sheets-ideas.md
+status: explored
+tags:
+- education
+- learning
+- software
+- bigprojectidea
+title: learning suite
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# learning suite
+
+a comprehensive learning optimization website / tool suite with ambitious scope: easy notes for reflection, re-explanation prompts, context-aware LLMs, adaptive quizzes to place your level, "no courses" (learn anything), pulling free courses from MIT OpenCourseWare and others, a learning repository, pacing suggestions, current understanding export, goal-to-plan pipelines with customizable tracks, and spaced repetition.
+
+the personal learning wishlist is broad: physics, linguistics, psych, optics, quantum, FFT, econometrics/modeling, MATLAB, law (lawhub.org, Khan Academy LSAT prep), radio signals (ham radio licensing), competitive programming, and more.
+
+a key extension is automatic flashcard generation: a note-taking system (from lectures or cornell notes) that automatically converts to retrieval items. the LMS variant (2026-04-01) emphasizes graph connections and dependencies between all knowledge, importable from classes.
+
+inspiration cited: hamstudy.org. could have modes for AP, SAT, college apps. "probs very saturated though — how to differentiate?" — can minimize "AI" and focus on robustness. connects to the [[tutor-platform|exceptional tutor platform]] as the human side of learning optimization, and to the [[project-designer|project designer]] for curriculum-like project generation.
+
+**spreadsheet evaluation:** originality 7/10, excitement 8/10, MVP 4-8 weeks. competitive landscape: individual features exist across platforms (Anki for spaced repetition, Notion for logs, MIT OCW for content), but no single product combines reflection logs + adaptive 3-question quizzes + OCW path + understanding exports. very ambitious scope acknowledged — MVP should pick one killer feature (e.g. adaptive quizzes on OCW content only), risk of building a mediocre everything. tech depth 5/10, labeled [WRONG FIT] ("broad scope, not a hard technical problem — more product design than engineering").
+
+---
+
+## timeline
+
+- [2025-12-22] learning topics wishlist captured
+- [2025-12-23] full learning suite feature spec, marked as bigprojectidea
+- [2025-12-23] flashcard generation extension
+- [2026-04-01] LMS variant — knowledge graph with class imports
+- [2026-04-10] google sheets evaluation — 7/10 originality, 8/10 excitement, [WRONG FIT] for tech depth
\ No newline at end of file
wiki/life-guide.md
new file mode 100644
index 0000000..1e0dcd5
@@ -0,0 +1,28 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_life-guide-projectidea.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- advice
+- crowdsource
+- software
+title: life guide
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# life guide
+
+a guide for practical life skills — how to do taxes, apply to programs, etc. nuggets of wisdom that are super useful but scattered. acknowledged issue: "runs into advice issues" (liability, individual circumstances). could try crowdsourcing. "similar to some other forum things? e.g. reddit with r/lifeadvice."
+
+**spreadsheet evaluation:** originality 4/10, excitement 4/10, MVP 2-4 weeks. competitive landscape: WikiHow, Reddit (r/lifeprotips, r/personalfinance), Adulting.com, and various life-skills sites exist — advice quality problem is real but crowdsourcing makes it Reddit-like, hard to differentiate without strong curation or AI synthesis. content curation is the product not the tech. competes with ChatGPT/Claude for most queries. tech depth 2/10, labeled [ARCHIVE] ("content/community, not tech").
+
+---
+
+## timeline
+
+- [2025-12-22] captured — practical wisdom aggregation
+- [2026-04-10] google sheets evaluation — 4/10 originality, 4/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/life-planning-app.md
new file mode 100644
index 0000000..e86c713
@@ -0,0 +1,32 @@
+---
+first_captured: 2025-08-31
+sources:
+- sources/apple-notes/archived/life-planning-app.md
+- sources/apple-notes/archived/build-notes.md
+status: raw
+tags:
+- productivity
+- planning
+- software
+title: life planning app
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# life planning app
+
+an app that formalizes the vague, murky idea of your life plan into something visible. features: task lists, goals, bucket list, current state of mind, emotion log, favorite quote, reminders, habit tracker, plans (1 month, 1 year, 5 years), achievements, connections to people, calendar, thoughts section, daily/weekly/monthly reflections.
+
+attributes: customizable (remove elements and it still looks good), inputtable, minimal dark/light mode design. explored building with no-code tools (Manus, Glide, Bolt, Bubble, v0).
+
+competitive landscape research found many existing apps. potential uniqueness: bringing everything together in a customizable environment, targeting important planning questions (should I do it or not? how to spend time? what do I even want?), nice AI integration. but concluded: "seems negligible and not very powerful (also not that many people would want it)."
+
+connects to the [[universal-habits|universal habits]] system for the habit tracking component and to the [[decision-helper|decision helper]] for the planning/choosing aspects.
+
+---
+
+## timeline
+
+- [2025-08-31] evaluated in build-notes — "will learn a tiny bit, im already pretty good at it, i dont think people will care"
+- [2025-10-16] explored no-code builders for rapid implementation
\ No newline at end of file
wiki/life-search.md
new file mode 100644
index 0000000..919234d
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-05
+sources:
+- sources/ideaflow/2026-04-05_good-search-over-your-entire-life.md
+status: raw
+tags:
+- search
+- memory
+- ai
+- software
+title: life search
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# life search
+
+good search over your entire life. maybe agentic but crucially needs to be optimized because there is a massive amount of data. in conversation, it solves queries like "what was that thing I saw 3 days ago about fly brains and sugar" or "who was that guy that did the thing." also useful for "projects I've done that relate to RL."
+
+described as "mgrep for life" — applying the semantic search paradigm to all personal data. useful for coding agents as well (providing relevant personal context). this is essentially the query layer for the [[me-model|me model]] and the retrieval interface for everything the [[always-on-ai-assistant|always-on AI assistant]] captures. also the evolved version of what [[axon|axon]] was trying to be.
+
+---
+
+## timeline
+
+- [2026-04-05] captured — "mgrep for life"
\ No newline at end of file
wiki/llm-behavior-improvement.md
new file mode 100644
index 0000000..65704ec
@@ -0,0 +1,35 @@
+---
+first_captured: 2026-03-16
+sources:
+- sources/ideaflow/2026-03-16_noticed-that-claude-codex-were-kinda-failing-on.md
+- sources/ideaflow/2026-04-09_these-days-llms-etc-often-behave-poorly-becuase.md
+- sources/ideaflow/2026-04-09_some-sort-of-a-graph-think-for-llms.md
+status: raw
+tags:
+- ai
+- research
+- training
+title: LLM behavior improvement
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# LLM behavior improvement
+
+multiple captures around making LLMs better at their jobs:
+
+1. **codebase scanning for weak spots**: noticed Claude and Codex failing on Prisma — scan the codebase for things the LLM is not confident about, then note exactly how to deal with them in AGENTS.md. "kinda like spec but for weird parts of codebase."
+
+2. **acting without enough info**: LLMs often behave poorly because they act without enough information. could be solved with better prompting/telling users to give more info, or with a dataset training models to guess intent intelligently and refuse unspecced tasks.
+
+3. **graph thinking for LLMs**: current approaches crudely approximate human thinking (x then y then z) but miss backtracking and organization. proxy: linear text with organization indicators. noted counterpoint: attention mechanism already integrates everything non-linearly, "so possibly moot."
+
+connects to the [[agents-md-research|AGENTS.md research]] and the [[overnight-app-grinder|overnight app grinder]] which depends on LLMs being reliable.
+
+---
+
+## timeline
+
+- [2026-03-16] codebase scanning concept
+- [2026-04-09] acting-without-info problem, graph thinking exploration
\ No newline at end of file
wiki/llm-physical-intuition.md
new file mode 100644
index 0000000..383dd5a
@@ -0,0 +1,24 @@
+---
+first_captured: 2026-04-06
+sources:
+- sources/ideaflow/2026-04-06_do-llms-have-good-physical-intuition.md
+status: raw
+tags:
+- ai
+- research
+- physics
+title: LLM physical intuition research
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# LLM physical intuition research
+
+do LLMs have good physical intuition? can we train them on physics questions to be good at physical reasoning? the hypothesis: abstract text-based models would do poorly with physical movement and spatial reasoning. "kinda the next important step with AGI." connects to the [[flapping-airplanes|flapping airplanes]] research directions on training efficiency.
+
+---
+
+## timeline
+
+- [2026-04-06] captured — physical intuition as AGI gap
\ No newline at end of file
wiki/math-dopamine.md
new file mode 100644
index 0000000..44ef0ff
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- education
+- gamification
+- software
+title: math instagram / dopamine loops in education
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# math instagram / dopamine loops in education
+
+engineer dopamine loops into mathematics and general education systems. "math instagram" — making learning as addictive as social media. also includes a "pset generator from 3b1b videos" variant.
+
+connects to the [[learning-suite|learning suite]] for the broader learning optimization vision.
+
+**spreadsheet evaluation:** tech depth 4/10, labeled [WRONG FIT] ("content + product design, not deep tech"). the pset generator from 3b1b videos is tech depth 5/10, labeled [WRONG FIT] ("fun but small scope — weekend project").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [WRONG FIT] tier, content/product focus
\ No newline at end of file
wiki/me-model.md
new file mode 100644
index 0000000..d1d5b4a
@@ -0,0 +1,32 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_me-model---data-sources-imessages-email-discord.md
+- sources/apple-notes/archived/potential-projects-archived.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- personalization
+- data
+- finetuning
+title: me model
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# me model
+
+a fine-tuned language model trained on your personal data: iMessages, email, Discord, notes/Obsidian, GitHub. the goal is an AI that genuinely understands you — your communication style, your knowledge, your projects, your relationships.
+
+Fireworks AI was identified for the finetuning infrastructure. this is the foundation layer that several other ideas build on: [[oncue|OnCue]] needs your professional history, the [[always-on-ai-assistant|always-on AI assistant]] needs your context, the [[personalized-autocomplete|personalized autocomplete]] needs your writing patterns, and the [[ai-conversationalist|AI conversationalist]] needs your speaking style. the [[life-search|life search]] idea is essentially the query interface for a me model.
+
+**spreadsheet evaluation:** originality 7/10, excitement 5/10, MVP 4-8 weeks. competitive landscape: Character.AI lets others create chatbots, Delphi.ai trains on specific people, Personal.ai builds from your data, Inflection Pi learns over time — none pull from iMessages + email + Discord + Obsidian + GitHub as a unified training corpus. data extraction is the hard part (iMessage needs local SQLite access, Discord export is limited, email needs OAuth). privacy implications significant. tech depth 8/10, labeled [STRONG] ("fine-tuning, data pipelines from iMessage/Discord/GitHub, eval — technically meaty but demo is weird: 'look, it talks like me'").
+
+---
+
+## timeline
+
+- [2025-12-22] captured in ideaflow — data sources and finetuning approach
+- [2026-04-10] google sheets evaluation — 7/10 originality, 5/10 excitement, MVP 4-8 weeks, [STRONG] tier
\ No newline at end of file
wiki/memory-competitions.md
new file mode 100644
index 0000000..9d5964a
@@ -0,0 +1,23 @@
+---
+first_captured: 2026-01-02
+sources:
+- sources/ideaflow/2026-01-02_become-crazy-good-at-some-memory-thing-like.md
+status: raw
+tags:
+- memory
+- personal-development
+title: memory competitions
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# memory competitions
+
+become crazy good at some memory thing, like Claire Wang. a personal development goal rather than a product idea, but connects to the [[episodic-memory-builder|episodic memory builder]] and [[brain-rewinder|brain rewinder]] as tools that could help train this skill.
+
+---
+
+## timeline
+
+- [2026-01-02] captured — Claire Wang as inspiration
\ No newline at end of file
wiki/motivation-education.md
new file mode 100644
index 0000000..0f4b658
@@ -0,0 +1,28 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/obsidian/home/ideas/motivation.md
+status: raw
+tags:
+- education
+- youth
+- research
+title: motivation in education
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# motivation in education
+
+a detailed analysis of the education problem: schools have sufficient facilities and great teachers, but students are not willing to learn. if all students were motivated (curious, persistent, open-minded), teaching would be trivial — they could even learn on their own with minimal guidance using abundant online resources.
+
+the vision: imagine a class full of motivated students. this simultaneously solves resource problems (everything is online), teacher burnout (they only answer questions, not lecture/chase), and behavioral issues. but motivated students are a tiny minority, and negative stereotypes exist around liking learning.
+
+potential solutions: "some kind of app or something?" or raising awareness to get all schools to be this way. connects to the [[consciousness-for-students|student consciousness program]], the [[learning-suite|learning suite]], and the [[youre-not-behind|you're not behind machine]].
+
+---
+
+## timeline
+
+- [2025-12-22] detailed analysis in obsidian — presentation-style writeup
\ No newline at end of file
wiki/nose-device.md
new file mode 100644
index 0000000..4b7a98f
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-01-19
+sources:
+- sources/ideaflow/2026-01-19_maybe-already-done-but-dad-needs-a-nose.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- hardware
+- health
+title: nose device for dad
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# nose device for dad
+
+"maybe already done but dad needs a nose." minimal context — likely related to the [[smell-resetter|smell resetter]] research and olfactory health.
+
+**spreadsheet evaluation:** originality 3/10, excitement 6/10. 3D-printed nasal prosthetics exist in medical/academic contexts (Stryker, custom prosthetists). needs more detail on what "needs a nose" means — cosmetic prosthetic? breathing aid? could be a meaningful personal project if scoped correctly. tech depth 3/10, labeled [ARCHIVE].
+
+---
+
+## timeline
+
+- [2026-01-19] captured — brief note
+- [2026-04-10] google sheets evaluation — 3/10 originality, 6/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/nueva-hacks.md
new file mode 100644
index 0000000..6488cc1
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- event
+- community
+- nueva
+title: nueva hacks
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# nueva hacks
+
+organize and run a hackathon at Nueva. more of an event/organizing project than a technical build. could differentiate with unique format or theme. connects to the [[connection-hub|connection hub]] community-building work.
+
+**spreadsheet evaluation:** originality 3/10, excitement 6/10. competitive landscape: school hackathons common (TreeHacks, HackMIT, CalHacks at college level; Hack Club events at HS level) — Nueva-specific would be novel locally but not conceptually. tech depth 1/10, labeled [ARCHIVE] ("event planning, not a project").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — 3/10 originality, 6/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/nueva-third-space.md
new file mode 100644
index 0000000..5c016a0
@@ -0,0 +1,24 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- community
+- nueva
+- social
+title: nueva third space
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# nueva third space
+
+a physical space at Nueva where "anyone sitting there is open to conversation." a low-tech community design intervention rather than a software project. connects to the [[connection-hub|connection hub]] for the broader Nueva community-building interest.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — community design concept
\ No newline at end of file
wiki/oncue.md
new file mode 100644
index 0000000..71c8619
@@ -0,0 +1,39 @@
+---
+first_captured: 2025-10-16
+sources:
+- sources/apple-notes/archived/oncue-tellwell-adjacent.md
+- sources/apple-notes/archived/tellwell.md
+status: built
+tags:
+- software
+- ai
+- interviews
+- context-engineering
+- memory
+title: oncue
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# oncue
+
+OnCue turns your scattered professional history into perfectly-timed interview answers and writing suggestions. it evolved from the "tellwell" / "storyteller" concept — originally about helping people tell their life stories for college essays, job interviews, networking, and personal branding.
+
+core architecture: multi-modal context is uploaded before an interview (resume, previous interviews, application writing, emails, projects), processed by a model, and during the interview it listens to the interviewer's questions and surfaces relevant experiences to talk about. described as "cluely but context-filled."
+
+memory primitives identified: experience, knowledge, identity, intent, reflection. tech stack: frontend for onboarding and story crafting, backend with LLM APIs, Voyage for vector indexing, and a synthesis layer pointing to evidence for personality traits and patterns.
+
+the market research showed $1.2-2.5B interview prep market growing at 8.9-11.8% annually. differentiation from generic ChatGPT: seamless multi-source context, understanding of user voice through feedback loops, proactive story mining when new things happen. the tellwell pivot from college essays to interview prep came from the insight that "cover letters are actually not that important; more important is the interview."
+
+OnCue became a real project that was presented. connects to the broader [[me-model|me model]] concept (building a representation of yourself from all data sources) and to the [[ultimate-describer|precision description engine]] for the output quality side.
+
+---
+
+## timeline
+
+- [2025-10-12] initial tellwell concept — storyteller for college/job apps
+- [2025-10-16] pivot to interview focus after market research
+- [2025-10-18] noted esai competitor only good at asking questions
+- [2025-10-19] technical planning — data connectors, local embeddings, app wrapping
+- [2025-10-24] sheetal meeting — discussed MVP features, marketing, privacy
\ No newline at end of file
wiki/optimize-computers.md
new file mode 100644
index 0000000..fcc3889
@@ -0,0 +1,30 @@
+---
+first_captured: 2026-03-27
+sources:
+- sources/ideaflow/2026-03-27_optimize-computers.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- utility
+- performance
+- software
+title: computer optimizer
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# computer optimizer
+
+computers and phones are usually slow. a system/harness for optimizing them — RAM, memory, network, etc. "like CleanMyMac or Mole but much better and hitting all OS." everyone would want it. generalize as a command-line tool that just works.
+
+listed in "best" top picks. the spreadsheet emphasizes: "pretty big problem that people have all over."
+
+**spreadsheet evaluation:** tech depth 7/10, labeled [WRONG FIT] ("low-level systems work is deep but hard to demo and unclear market"). listed in top picks despite the [WRONG FIT] label, suggesting personal conviction.
+
+---
+
+## timeline
+
+- [2026-03-27] captured — cross-OS computer optimization
+- [2026-04-10] google sheets evaluation — tech depth 7/10, [WRONG FIT] tier, listed in top picks
\ No newline at end of file
wiki/outdoor-work-setup.md
new file mode 100644
index 0000000..3b885a9
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-02-17
+sources:
+- sources/ideaflow/2026-02-17_how-to-be-able-to-work-outside-get.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- productivity
+- workspace
+title: outdoor work setup
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# outdoor work setup
+
+how to work outside or get fresh air while inside (e.g. if raining). "patio?" — a workspace design problem more than a software idea.
+
+**spreadsheet evaluation:** originality 5/10, excitement 7/10. competitive landscape: enclosed office pods (Autonomous WorkPod) lose outdoor feel, covered patios exist but aren't purpose-built workspaces — the specific rain-proof open-air workspace niche is empty. more of an industrial design/architecture project than software. could be a product spec + blog post or Kickstarter concept.
+
+---
+
+## timeline
+
+- [2026-02-17] captured — workspace optimization for fresh air
+- [2026-04-10] google sheets evaluation — 5/10 originality, 7/10 excitement, non-tech project
\ No newline at end of file
wiki/overnight-app-grinder.md
new file mode 100644
index 0000000..099c1a7
@@ -0,0 +1,30 @@
+---
+first_captured: 2026-04-07
+sources:
+- sources/ideaflow/2026-04-07_a-overnight-app-grinder-for-coding-agents-so.md
+status: raw
+tags:
+- ai
+- agents
+- coding
+- automation
+- software
+title: overnight app grinder
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# overnight app grinder
+
+an autonomous app builder that runs coding agents overnight while you sleep. cycles through accounts (especially Codex which is free), maintains context, manages sessions, logs roadblocks (especially auth issues) one per line in a text file. when you wake up, fix the blockers and run it again.
+
+the pipeline: feed it an idea, it does research (possibly using Deep Research from GPT/Claude for validation), asks some questions, then starts full end-to-end implementation. because of the autonomous nature, there should always be a backbone/skeleton for whatever is being built, plus high insistence on quality.
+
+this is a meta-tool — it builds the other ideas. connects to the broader AI tooling interest including [[agents-md-research|AGENTS.md optimization research]] and the [[llm-behavior-improvement|LLM behavior improvement]] work.
+
+---
+
+## timeline
+
+- [2026-04-07] captured — detailed architecture for autonomous overnight coding
\ No newline at end of file
wiki/pain-point-builder-marketplace.md
new file mode 100644
index 0000000..009f5ce
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-03-27
+sources:
+- sources/ideaflow/2026-03-27_platform-where-users-write-down-their-pain-points.md
+status: raw
+tags:
+- marketplace
+- open-source
+- software
+title: pain point / builder marketplace
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# pain point / builder marketplace
+
+a platform where users write down their pain points and get matched with open source software builders, creating guaranteed users while solving real problems. NeedGap is one half of this. similar to bootstrapped.app but for open source. the two-sided marketplace ensures builders have demand and users get solutions.
+
+connects to the [[foss-management|FOSS management platform]] for the discovery side and to the [[idea-tester|idea tester]] for the validation side.
+
+---
+
+## timeline
+
+- [2026-03-27] captured — pain point to builder matching
\ No newline at end of file
wiki/pause.md
new file mode 100644
index 0000000..a3a55e0
@@ -0,0 +1,30 @@
+---
+first_captured: 2026-01-01
+sources:
+- sources/ideaflow/2026-01-02_a-nice-trio-to-work-on.md
+- sources/ideaflow/2026-01-01_things-we-can-do.md
+- sources/ideaflow/2025-12-22_invokingimprinting-thoughts.md
+status: built
+tags:
+- productivity
+- software
+- habits
+- macos
+title: pause
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# pause
+
+a screen break / reminder app that was actually built and shipped. part of a "nice trio" of software projects alongside convo-flow and ui-flow. features discussed include: hiding from command-tab, customizable scheduled reminders (locked or not locked, variable length, custom message), and an apple clock style system for specifying repeats with a default of instantly turning off afterwards.
+
+Pause became a real project. it is a subset of the broader [[universal-habits|universal habits]] vision — specifically addressing the digital side of habit interruption. the [[invoking-thoughts|invoking/imprinting thoughts]] idea noted that Pause's text reminders could be more emotionally impactful ("instead of 'diminishing returns', use emojis or anecdotes or specific feelings").
+
+---
+
+## timeline
+
+- [2026-01-01] listed as active software project in "things we can do"
+- [2026-01-02] detailed feature design in "nice trio" capture
\ No newline at end of file
wiki/personal-teleprompter.md
new file mode 100644
index 0000000..c8d04be
@@ -0,0 +1,25 @@
+---
+first_captured: 2025-10-16
+sources:
+- sources/apple-notes/archived/personal-teleprompter.md
+- sources/apple-notes/archived/build-notes.md
+status: raw
+tags:
+- hardware
+- video
+- software
+title: personal teleprompter
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# personal teleprompter
+
+how to read from a script without seeming like it — a product for video recording. NVIDIA's eyecontact model was identified as relevant tech. physical teleprompters are only about $80, so the software approach needs to be significantly better. listed as one of the "current 3 ideas" in build-notes (10.16).
+
+---
+
+## timeline
+
+- [2025-10-16] captured — NVIDIA eyecontact model, $80 hardware alternatives
\ No newline at end of file
wiki/personalized-autocomplete.md
new file mode 100644
index 0000000..d083b89
@@ -0,0 +1,31 @@
+---
+first_captured: 2026-02-06
+sources:
+- sources/ideaflow/2026-02-06_an-autocomplete-that-knows-you-really-well.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- productivity
+- writing
+- software
+title: personalized autocomplete
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# personalized autocomplete
+
+an autocomplete that knows you really well — not BCI (though that would be cool) but from context about you generally or things you were just doing. specifically considered for meetings: a Granola-type deal where after a meeting you write up notes and it autocompletes as soon as you write enough because it was listening.
+
+issues identified: might not be good or might take a lot of time (would basically need thought autocompletion), and it only saves very little time per completion. depends on the [[me-model|me model]] for deep personalization and could integrate with the [[always-on-ai-assistant|always-on AI assistant]] for meeting context.
+
+**spreadsheet evaluation:** originality 6/10, excitement 6/10, MVP 4-8 weeks. competitive landscape: Granola does meeting transcription + AI notes, GitHub Copilot autocompletes code, Gmail Smart Compose predicts email text, Lex.page does AI writing completion — none combine deep personal context (writing history, meeting context, personal knowledge graph) into autocomplete. quality bar is very high — bad autocomplete is worse than none. could prototype as a fine-tuned model on writing corpus + meeting transcripts. tech depth 4/10, labeled [ARCHIVE] ("interesting but small").
+
+---
+
+## timeline
+
+- [2026-02-06] captured — meeting notes use case, issues identified
+- [2026-04-10] google sheets evaluation — 6/10 originality, 6/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/personalized-medicine.md
new file mode 100644
index 0000000..a35e541
@@ -0,0 +1,35 @@
+---
+first_captured: 2026-02-09
+sources:
+- sources/ideaflow/2026-02-09_idea-of-things-medicine-procedures-strategies-impact-pe.md
+- sources/ideaflow/2026-02-10_two-ways-to-approach-personalized-medicine-linked-note.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- health
+- science
+- data
+- software
+title: personalized medicine / wellness testing
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# personalized medicine / wellness testing
+
+the core insight: "things (medicine, procedures, strategies) impact people differently" — biologically and psychologically. a unified testing framework for personalized wellness. example: go onto the platform, start testing sleep factors, and in 1 week have strong results for what most impacts your sleep out of commonly cited factors.
+
+two approaches identified: (1) ultra data collection — long-standing correlations taken at face value, run data analysis, suggest experiments; (2) low-level experiments revealing direct causality through understanding specific mechanisms. could focus on specific domains like sleep — understanding the range of how people sleep and what mechanisms cause blue light, eating, or exercise to impact it.
+
+this connects to the [[universal-data-capturer|universal data capturer]] for the data collection infrastructure. the [[always-on-ai-assistant|always-on AI assistant]] could passively gather the behavioral data needed for correlations.
+
+**spreadsheet evaluation:** originality 7/10, excitement 8/10, MVP 4-8 weeks. competitive landscape: QuantifyMe (MIT) and TummyTrials (UW) are research prototypes for n-of-1 self-experimentation, WHOOP/Oura show correlations but don't run controlled experiments, no consumer product provides unified causal testing across sleep/food/exercise. MVP could be a structured experiment planner + WHOOP data integration without making medical claims. tech depth 8/10, labeled [DO THIS] — stats + bio + data pipeline, controlled experiment design, causal inference, sensor integration, connects to sleep/biometric interests. blue ocean analysis: EMERGING market positioning with medium 2-month feasibility. the "N-of-1 Causal Inference Engine" variant in blue ocean analysis is the only idea rated true BLUE OCEAN with high 2-month feasibility.
+
+---
+
+## timeline
+
+- [2026-02-09] core concept — personalized impact testing framework
+- [2026-02-10] two approaches articulated — data collection vs mechanistic experiments
+- [2026-04-10] google sheets evaluation — 7/10 originality, 8/10 excitement, [DO THIS] tier, BLUE OCEAN for N-of-1 variant
\ No newline at end of file
wiki/photo-album-face-search.md
new file mode 100644
index 0000000..1794bbd
@@ -0,0 +1,25 @@
+---
+first_captured: 2026-03-20
+sources:
+- sources/ideaflow/2026-03-20_search-photo-shared-albums-for-images-of-you.md
+status: raw
+tags:
+- cv
+- photos
+- utility
+- software
+title: photo album face search
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# photo album face search
+
+search photo shared albums for images of you. uses face recognition to find your photos across shared albums you have access to. solves the problem of being in group photos but never getting copies.
+
+---
+
+## timeline
+
+- [2026-03-20] captured — face search in shared albums
\ No newline at end of file
wiki/politician-tracker.md
new file mode 100644
index 0000000..079844b
@@ -0,0 +1,28 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_what-are-my-politicians-doing-projectidea.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- politics
+- civic
+- software
+title: politician tracker
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# politician tracker
+
+"what are my politicians doing?" — also covers general political updates on random things. a civic awareness tool that summarizes relevant political activity for your representatives.
+
+**spreadsheet evaluation:** originality 4/10, excitement 3/10, MVP 2-4 weeks. competitive landscape: GovTrack, Congress.gov, Vote Smart, Countable (now Causes), Represent.Us track congressional activity, Ballotpedia covers state level — several apps have tried and failed to get sustained consumer engagement, the idea resurfaces every election cycle. data available via congress.gov API and OpenStates. challenge is making it engaging enough for repeat use. tech depth 3/10, labeled [ARCHIVE] ("data viz project, not deep").
+
+---
+
+## timeline
+
+- [2025-12-22] captured — political awareness app
+- [2026-04-10] google sheets evaluation — 4/10 originality, 3/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/ppg-biomarker-wearable.md
new file mode 100644
index 0000000..5def89d
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- hardware
+- health
+- ml
+- wearable
+title: PPG sensor biomarker wearable
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# PPG sensor biomarker wearable
+
+training PPG (photoplethysmography) sensors to detect another biomarker or something significant. can make a wearable paired with an algorithm that does something really well and is valuable. listed in "best" top picks.
+
+connects to the [[personalized-medicine|personalized medicine framework]] for the health data pipeline and to the [[sensor-capturer|sensory capturer]] hardware interest.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets "best" picks — PPG sensor training for biomarkers
\ No newline at end of file
wiki/predictive-maintenance-sensors.md
new file mode 100644
index 0000000..d95e647
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- defense
+- hardware
+- ml
+- embedded
+title: predictive maintenance sensors
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# predictive maintenance sensors
+
+embedded ML for anomaly detection and sensor fusion on equipment — predict when things will break before they do. similar to [[acoustic-drone-detection|acoustic drone detection]] but less flashy, applied to maintenance rather than detection.
+
+**spreadsheet evaluation:** tech depth 8/10, labeled [STRONG] ("embedded ML, anomaly detection, sensor fusion — similar to drone detection but less flashy").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [STRONG] tier, 8/10 tech depth
\ No newline at end of file
wiki/project-designer.md
new file mode 100644
index 0000000..e48239d
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-04-03
+sources:
+- sources/ideaflow/2026-04-03_project-designer.md
+status: raw
+tags:
+- education
+- ai
+- software
+title: project designer
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# project designer
+
+the really good thing about teachers is that they are experts who create strong curricula and projects that are just hard enough, interesting, apply learning, and are personalized. an AI that replicates this — designing projects tailored to a person's skill level and interests.
+
+connects to the [[learning-suite|learning suite]] for the broader education vision, the [[project-suggestor|project suggestor]] for choosing what to work on, and the [[tutor-platform|tutor platform]] for the human-expert complement.
+
+---
+
+## timeline
+
+- [2026-04-03] captured — teacher-quality AI project design
\ No newline at end of file
wiki/project-suggestor.md
new file mode 100644
index 0000000..0e21dbb
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-03-20
+sources:
+- sources/ideaflow/2026-03-20_project-suggestor.md
+status: raw
+tags:
+- ai
+- meta
+- software
+title: project suggestor
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# project suggestor
+
+suggest projects based on: who you are as a person, what you want from this project, and what you know about the project domain. a meta-tool that helps choose which ideas to pursue — useful given the sheer volume of ideas captured in this wiki.
+
+connects to the [[idea-tester|idea tester/feedback giver]] for evaluating suggested projects, and to the [[project-designer|project designer]] for then designing the chosen project.
+
+---
+
+## timeline
+
+- [2026-03-20] captured — person-aware project recommendation
\ No newline at end of file
wiki/publish-to-website.md
new file mode 100644
index 0000000..00aa575
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-02-21
+sources:
+- sources/ideaflow/2026-02-21_take-all-of-publishtowebsite-and-periodically-export-run.md
+status: raw
+tags:
+- writing
+- automation
+- software
+title: publish to website
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# publish to website
+
+take all IdeaFlow notes tagged #publishtowebsite, periodically export them, run through a script, and publish to a personal website notes section. simple pipeline automation.
+
+connects to the [[build-in-public|build/learn in public crossposter]] for the broader publishing vision.
+
+---
+
+## timeline
+
+- [2026-02-21] captured — IdeaFlow to website pipeline
\ No newline at end of file
wiki/pupilometry-glasses.md
new file mode 100644
index 0000000..5b3397d
@@ -0,0 +1,30 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_build-pupilometry-glasses-for-moving-mouse---some.md
+- sources/apple-notes/archived/potential-projects-archived.md
+status: raw
+tags:
+- hardware
+- cv
+- wearable
+- hci
+title: pupilometry glasses
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# pupilometry glasses
+
+3D-printed glasses with small cameras that track eye movement to control a mouse cursor, with blink or head movement for clicking. feasibility questions: datasets for CV, how existing pupilometry works (possibly reverse engineer), whether pupilometry can track at fine enough grain (if not, could click randomly in area or use ML to predict click target).
+
+pivot possibility: a face-watching camera that captures expressions (yawning, scratching face) and maps them to keyboard shortcuts, notifications, or "punishment" for bad habits.
+
+noted limitation: Apple Vision Pro basically solves eye tracking better, and Meta smart glasses solve it even more portably. this connects to the [[emg-bracelet|EMG bracelet]] idea as another hands-free computer control approach. cameras could come from monitor camera modules.
+
+---
+
+## timeline
+
+- [2025-12-22] detailed feasibility analysis and build plan
\ No newline at end of file
wiki/quality-search.md
new file mode 100644
index 0000000..4ebbf1f
@@ -0,0 +1,31 @@
+---
+first_captured: 2026-03-23
+sources:
+- sources/ideaflow/2026-03-23_make-a-search-skill-for-cc-or-codex.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- search
+- ai
+- curation
+- software
+title: quality content search
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# quality content search
+
+a search skill for Claude Code or Codex that specifically targets high-quality content and filters out low-quality results. example: finding really good blog posts on meditation. reads through results and rates them on scales for consistency, content quality, etc. "kinda like articulate rankings for online writing."
+
+this is the quality-filtering layer on top of the [[universal-agentic-searcher|universal agentic searcher]]. while the searcher finds everything, this tool curates for quality.
+
+**spreadsheet evaluation:** tech depth 7/10, labeled [STRONG] ("content quality scoring, NLP ranking, filtering — interesting retrieval problem"). blue ocean analysis: "Content Quality Scorer" rated NEAR BLUE with high 2-month feasibility — one of the strongest market positioning signals in the entire spreadsheet.
+
+---
+
+## timeline
+
+- [2026-03-23] captured — quality-first search with rating scales
+- [2026-04-10] google sheets evaluation — tech depth 7/10, [STRONG] tier, NEAR BLUE ocean with high feasibility
\ No newline at end of file
wiki/referral-hiring.md
new file mode 100644
index 0000000..02cd2e6
@@ -0,0 +1,39 @@
+---
+first_captured: 2026-01-07
+sources:
+- sources/ideaflow/2026-01-07_replicate-what-exa-did-with-hiring-math-puzzles.md
+- sources/ideaflow/2026-02-21_core-idea-fit-over-qualification-volume-speed.md
+- sources/ideaflow/2026-03-20_make-sure-to-add-the-authentic-relationship-data.md
+- sources/google-sheets-ideas.md
+status: explored
+tags:
+- hiring
+- marketplace
+- referrals
+- software
+title: referral-based hiring platform
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# referral-based hiring platform
+
+the core insight: fit over qualification, volume, and speed. referrals from people who actually know candidates provide both trust and fit assessment. the idea is to create a super simple marketplace platform for referral-based hiring.
+
+the Exa inspiration: replicate their hiring approach (math puzzles to find smart people) at larger scale. companies like Orbit and Claisen would pay well for this — "$5000 referral if we hire them." Ryan Choi's observation: companies are "so desperate for talent."
+
+the platform needs an engine to describe fit well (modalities beyond just text, though text elements need strong refinement). could be asymmetrical (posters and recommenders) or symmetrical (everyone is both). applies to both cofounder search and employee hiring. the "authentic relationship data" angle emphasizes that "old people say everything is relational" and super connectors can be valuable.
+
+this connects to the [[discord-connections-mapper|connections mapper]] for the network graph that would feed referral chains, and to the [[job-tracking|job application tracking]] idea on the employer side. the [[ultimate-describer|precision description engine]] could help craft better role descriptions. referral.bike was a related project that was built.
+
+**spreadsheet evaluation:** the "Fit Over Qualification Marketplace" variant scored originality 5/10, excitement 9/10. competitive landscape: CoffeeSpace does swipe-based cofounder matching, Boon (goboon.co) does referral hiring, Mercor does AI talent matching, Drafted does reverse recruiting — none combine marketplace + cultural fit descriptors + trusted referrals as core signal, but the hiring space is extremely crowded. marketplace cold-start problem acknowledged — would need a very specific niche (e.g. YC startups only). MVP estimated at 4-8 weeks. the "Hiring Gauntlet (Exa Style)" variant — large-scale math/logic puzzles with bounty marketplace model — scored originality 6/10, excitement 7/10. tech depth 4/10 for marketplace, 3/10 for gauntlet; both labeled [WRONG FIT].
+
+---
+
+## timeline
+
+- [2026-01-07] exa-style hiring puzzle concept
+- [2026-02-21] core idea crystallized: fit over qualification, referral marketplace
+- [2026-03-20] authentic relationship data angle added
+- [2026-04-10] google sheets evaluation — marketplace 5/10 originality, 9/10 excitement; gauntlet 6/10 originality, 7/10 excitement
\ No newline at end of file
wiki/robotic-arm-assistant.md
new file mode 100644
index 0000000..cd8566f
@@ -0,0 +1,26 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- hardware
+- robotics
+- ai
+title: robotic arm home assistant
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# robotic arm home assistant
+
+"alexa with arms" — a robotic arm home assistant that can physically interact with the environment, not just respond verbally.
+
+**spreadsheet evaluation:** labeled under "Big Robotics Project" in tech depth rankings — tech depth 8/10, labeled [WRONG FIT] ("could be [DO THIS] if scoped — too vague right now").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [WRONG FIT] tier, needs scoping
\ No newline at end of file
wiki/sensor-capturer.md
new file mode 100644
index 0000000..82234e5
@@ -0,0 +1,37 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_along-with-the-sensory-capturer-the-recursion-device.md
+- sources/apple-notes/archived/sensor-capturer.md
+- sources/apple-notes/archived/build-notes.md
+- sources/google-sheets-ideas.md
+status: explored
+tags:
+- hardware
+- sensory
+- research
+- wearable
+title: sensor capturer
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# sensor capturer
+
+a device that captures sensory experiences — not just video and audio, but potentially smell, touch, and other modalities. the rich people niche is "scared of losing stuff" (memories, experiences). prior art includes Sensorama (1962), Narrative Clip, Microsoft SenseCam, and MIT Media Lab work.
+
+a related extension is the "recursion device" that would measure brain waves and input brain waves, going beyond passive capture into active neural interfacing. there is a connection to sleep and learning research showing sound and smell tied to memory consolidation.
+
+the evaluation from build notes rated this as: "will learn so much, not good at all, people will care so much (its super hard)" — acknowledging both the difficulty and the potential impact. this connects to the [[smell-resetter|smell resetter]] research and the [[brain-rewinder|brain rewinder]] concept. the [[universal-data-capturer|universal data capturer]] is the software-side equivalent of this hardware vision.
+
+**spreadsheet evaluation:** the "Read/Imprinting Device" variant scored originality 10/10 (highest possible), excitement 7/10, MVP 16+ weeks. competitive landscape: OpenBCI and Muse do EEG reading, transcranial stimulation (tDCS/tACS) devices exist for input — no consumer product closes the loop (reading brain state and writing back a pattern in real-time). academic closed-loop neuromodulation exists but not as a consumer product. extremely ambitious hardware+neuro project, needs significant neuroscience expertise and likely IRB considerations. could start with off-the-shelf EEG + tACS modules as proof of concept, needs ilab access. tech depth 10/10 (maximum), labeled [DO THIS] — "builds on your Orbit EEG experience, signal processing, ML on neural data, hardware integration — extremely impressive if you get any result at all."
+
+---
+
+## timeline
+
+- [2025-12-22] initial capture in ideaflow — recursion device concept
+- [2025-08-31] evaluated in apple notes build-notes — rated as hardest but highest impact
+- [2025-09-26] discussed with evan wang — compared to AI twin and life planner
+- [2026-04-10] google sheets evaluation — 10/10 originality, 7/10 excitement, 10/10 tech depth, [DO THIS] tier, MVP 16+ weeks
\ No newline at end of file
wiki/simulink-alternative.md
new file mode 100644
index 0000000..01da4a1
@@ -0,0 +1,25 @@
+---
+first_captured: 2026-03-28
+sources:
+- sources/ideaflow/2026-03-28_simulink-for-signals-but-more-general-and-easier.md
+status: raw
+tags:
+- engineering
+- signals
+- software
+- gui
+title: simulink alternative
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# simulink alternative
+
+Simulink for signals but more general and easier to use, portable into Python etc. "kinda like generalized Orb in GUI." a visual programming environment for signal processing that is not locked into MATLAB.
+
+---
+
+## timeline
+
+- [2026-03-28] captured — open, general signal processing GUI
\ No newline at end of file
wiki/smell-resetter.md
new file mode 100644
index 0000000..ab8070d
@@ -0,0 +1,38 @@
+---
+first_captured: 2025-08-31
+sources:
+- sources/apple-notes/archived/smell-resetter.md
+- sources/apple-notes/archived/build-notes.md
+- sources/google-sheets-ideas.md
+status: explored
+tags:
+- hardware
+- research
+- olfactory
+- science
+title: smell resetter
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# smell resetter
+
+a device to combat olfactory fatigue — the phenomenon where you stop smelling things you have been exposed to for a while. the personal motivation: having a cat and wanting to know what the house smells like to visitors.
+
+extensive research was done on the mechanism: Ca2+ ions flood olfactory receptor neurons causing depolarization, and a balancing feedback loop prevents overstimulation. coffee beans as palate cleansers are disputed. key finding: retronasal delivery (through the mouth) shows almost no olfactory adaptation compared to orthonasal delivery (through the nose), which is a significant insight for device design.
+
+the BubblEat paper proposed retronasal delivery via bubbles that pop in the mouth. existing work covers molecule detection, smell mapping with GNNs, and electronic noses. conclusion from research: "people already know about all this — the reason its not widespread is that it was recent or too hard/annoying to actually make it."
+
+aromatherapy has mixed evidence. the strongest potential application would be continuous injection of alertness/focus-promoting scents, but this remains unproven. connects to the [[sensor-capturer|sensory capturer]] as part of the broader sensory technology interest.
+
+**spreadsheet evaluation:** listed in "best" picks as "build a necklace pendant or something that is really good at classifying different smells, describe it to people whose smelling gets bad." tech depth 7/10, labeled [WRONG FIT] for the olfactory fatigue device variant ("hardware project, interesting but niche"). the classification/necklace angle is different from the resetter angle — one classifies what is present, the other resets your perception of it.
+
+---
+
+## timeline
+
+- [2025-08-31] evaluated in build-notes — "will learn so much, some people will care (?)"
+- [2025-09-26] discussed with evan wang — "what problem are you solving? seems like something just because its cool"
+- [2025-09-26] deeper research on olfactory fatigue mechanisms, retronasal vs orthonasal delivery
+- [2026-04-10] google sheets evaluation — listed in "best" picks (smell classification necklace), [WRONG FIT] for olfactory fatigue device
\ No newline at end of file
wiki/spec-driven-dev.md
new file mode 100644
index 0000000..e39a134
@@ -0,0 +1,32 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- developer-tools
+- context-engineering
+- agents
+- software
+title: spec-driven dev kit
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# spec-driven dev kit
+
+"complete spec driven dev kit; code is literally just artifact." the HumanLayer talk describes exactly this: a Research → Plan → Implement pipeline with context management for coding agents. the philosophy: a bad line of research (misunderstanding how the system works) can cause thousands of bad lines of code, so you invest most time in specifying the right problem and understanding the system before launching the coding agent.
+
+key components: research prompts that output file names and line numbers so agents know exactly where to look, planning prompts that specify every change with files and snippets, implement prompts that maintain context under 40% utilization, intentional human review at each phase. the research file is a lot easier to review than a 2000-line PR. the workflow keeps mental alignment across the team.
+
+connects to the [[hard-docs-writer|hard software component docs writer]] for the codebase understanding layer, and to the [[overnight-app-grinder|overnight app grinder]] which would benefit from spec-first architecture.
+
+**spreadsheet evaluation:** tech depth 8/10, labeled [DO THIS] — "you know coding agents well, could build tooling others actually use." blue ocean analysis: RED OCEAN positioning with medium 2-month feasibility — the market is competitive but the approach is strong. listed as one of 5 [DO THIS] tier projects.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [DO THIS] tier, RED OCEAN but strong technical fit
\ No newline at end of file
wiki/stress-testing-suite.md
new file mode 100644
index 0000000..5eb3dfc
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- agents
+- testing
+- software
+- b2b
+title: stress testing suite (agent QA)
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# stress testing suite (agent QA)
+
+build agents that navigate websites and find bugs. solid engineering with clear B2B value — automated QA powered by AI agents that can explore UIs, trigger edge cases, and surface defects.
+
+**spreadsheet evaluation:** tech depth 7/10, labeled [STRONG] ("solid engineering, clear B2B value — moderate depth").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — [STRONG] tier, 7/10 tech depth
\ No newline at end of file
wiki/summaries/google-sheets-ideas.md
new file mode 100644
index 0000000..781311f
@@ -0,0 +1,20 @@
+---
+date: 2026-04-10
+source_origin: google-sheets
+source_path: sources/google-sheets-ideas.md
+title: google sheets ideas export
+type: source-summary
+visibility: public
+---
+
+# google sheets ideas export
+
+a structured export from a google sheets workbook titled "Ideas (not ai generated, just ai formalized from notes)" containing four tabs of evaluated project ideas.
+
+**project_ideas** (~85 entries) — each idea has a title, description, and varying amounts of metadata: originality score (1-10), excitement score (1-10), originality notes (competitive landscape analysis), general notes (feasibility commentary), and MVP time estimates. ideas range from hardware (BCI devices, smell resetters) to software (hiring platforms, learning tools) to non-tech (events, movements, real estate). the most excited-about ideas (10/10 excitement) are brain rewinder and articulate/precision description engine. many entries overlap with ideaflow and apple notes captures but add quantitative evaluation not present in those sources.
+
+**ranked_by_tech_depth** — the same ideas ranked by technical depth (1-10 scale) and labeled with tier recommendations: [DO THIS] for top-tier technically impressive projects (acoustic drone detection, BCI, agent-based simulation, spec-driven dev, personalized medicine), [STRONG] for solid engineering challenges, [WRONG FIT] for ideas that are too thin technically or wrong scope for a 2-month build, and [ARCHIVE] for ideas to shelve. this tab reveals a clear preference for technically deep, demo-able projects with defense/neurotech/AI-tooling angles.
+
+**Blue Ocean Analysis** — 12 ideas evaluated for market positioning using blue ocean strategy framework. one true BLUE OCEAN (N-of-1 causal inference engine), two NEAR BLUE (EEG artifact rejection, content quality scorer), several EMERGING, one RED OCEAN (spec-driven dev kit), and one RED/EMERGING (recursive self-improvement infra). each rated for 2-month feasibility (high/medium/low).
+
+**best (top picks)** — harrison's curated top picks emphasizing: audio scene classification on microcontrollers, smell classification necklace, personal data selling, embedding interpolation for writing tone, computer optimization harness, and PPG sensor training for biomarkers.
\ No newline at end of file
wiki/surreal-sound-experiences.md
new file mode 100644
index 0000000..aea0179
@@ -0,0 +1,25 @@
+---
+first_captured: 2026-03-20
+sources:
+- sources/ideaflow/2026-03-20_there-can-be-some-surreal-experiences-created-using.md
+status: raw
+tags:
+- audio
+- creative
+- experience
+- software
+title: surreal multi-device sound experiences
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# surreal multi-device sound experiences
+
+engineer insane meditative/relaxing experiences from multi-device sound. inspiration: big wind with birds and wind chimes, really banger songs. ask people to close their eyes and they imagine they are somewhere completely different — hanging off a cliff. could use normal speakers or multi-device spatial audio.
+
+---
+
+## timeline
+
+- [2026-03-20] captured — sound-based surreal immersion
\ No newline at end of file
wiki/symbolic-regression.md
new file mode 100644
index 0000000..d5ac3c8
@@ -0,0 +1,27 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- math
+- ml
+- science
+- software
+title: symbolic regression engine
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# symbolic regression engine
+
+an engine for symbolic regression — discovering mathematical expressions that fit data. connects to the [[learning-suite|learning suite]] interest in mathematics and the broader technical depth focus.
+
+**spreadsheet evaluation:** blue ocean analysis: EMERGING with high 2-month feasibility — one of the highest feasibility ratings in the blue ocean analysis.
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets blue ocean analysis — EMERGING, high feasibility
\ No newline at end of file
wiki/task-optimization-game.md
new file mode 100644
index 0000000..abcc437
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-04-06
+sources:
+- sources/ideaflow/2026-04-06_task-optimization-game-ideas---google-docs-httpsdocs.md
+- sources/obsidian/home/ideas/game_ideas.md
+status: raw
+tags:
+- game
+- productivity
+- software
+title: task optimization game
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# task optimization game
+
+a game where you optimize task scheduling — referenced in a Google Doc with detailed game ideas. could use a CLI as skeleton so Claude can interact with it and one-shot implementation. the obsidian game ideas note also mentions: math clicker game, spelling bee variants, numbers-in-grid games like gridentify.com.
+
+connects to the [[task-scheduler|task scheduler / better morgen]] for the serious productivity variant.
+
+---
+
+## timeline
+
+- [2025-12-22] game ideas captured in obsidian — math and optimization games
+- [2026-04-06] task optimization game linked to Google Doc spec
\ No newline at end of file
wiki/task-scheduler.md
new file mode 100644
index 0000000..41cd98b
@@ -0,0 +1,31 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_make-a-version-of-morgen-that-accounts-for.md
+- sources/apple-notes/archived/potential-projects-archived.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- productivity
+- scheduling
+- software
+title: task scheduler / better morgen
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# task scheduler / better morgen
+
+a version of Morgen (calendar app) that accounts for tasks that take time and need waiting, with easy input. auto-planner for when to do things, especially with due dates. "kinda like the scheduling tasks puzzle game I wanted to make."
+
+the core insight: "the reason that most schedulers dont really work is that all they do is be there" — they need to solve the problem more completely and thoughtfully. connects to the [[task-optimization-game|task optimization game]] for the gamified variant and to the broader [[universal-habits|habits]] system for time-based triggers.
+
+**spreadsheet evaluation:** originality 6/10, excitement 4/10, MVP 2-4 weeks. competitive landscape: Morgen, Motion ($19/mo), Reclaim.ai, Clockwise, and Sunsama all do AI auto-scheduling — Motion specifically handles task duration + due dates + auto-rescheduling. differentiation would need to be in handling wait-time dependencies specifically (e.g. "start X only after Y cures for 2 days"). niche. tech depth 5/10, labeled [ARCHIVE] ("product design, calendar space crowded").
+
+---
+
+## timeline
+
+- [2025-12-22] captured — critique of existing schedulers, auto-planning concept
+- [2026-04-10] google sheets evaluation — 6/10 originality, 4/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/temperature-app.md
new file mode 100644
index 0000000..953713c
@@ -0,0 +1,28 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_idk-how-warm-some-temperature-is-projectidea-software.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- weather
+- software
+- utility
+title: temperature feel app
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# temperature feel app
+
+an app that tells you how a temperature will actually feel, accounting for wind, humidity, and personal calibration (for people who do not have intuition for what 65F feels like). "bruh there is a thing for this (although can do better)."
+
+**spreadsheet evaluation:** originality 1/10, excitement 4/10. already built — Feels Like Weather by Myles Franklin Resnick (iOS 2025) centers on feels-like temp with personality-driven forecasts and clothing recommendations, nearly exact match to concept. could still differentiate with better personality or hyper-local accuracy but the core concept is taken. tech depth 2/10, labeled [ARCHIVE] ("weekend project").
+
+---
+
+## timeline
+
+- [2025-12-22] captured — acknowledged existing solutions exist
+- [2026-04-10] google sheets evaluation — 1/10 originality, 4/10 excitement, [ARCHIVE] (Feels Like Weather app exists)
\ No newline at end of file
wiki/tutor-platform.md
new file mode 100644
index 0000000..bdea097
@@ -0,0 +1,31 @@
+---
+first_captured: 2026-02-16
+sources:
+- sources/ideaflow/2026-02-16_exceptional-tutor-finding-platform.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- education
+- mentorship
+- marketplace
+- software
+title: exceptional tutor platform
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# exceptional tutor platform
+
+a platform for finding truly exceptional tutors, validated on two dimensions: subject matter expertise (easier to validate) and teaching ability (harder — could use pattern-following validation, reviews, or a combination). the key differentiator would be an extremely high bar for quality, ensuring every tutor is genuinely excellent.
+
+this is the human complement to the [[learning-suite|learning suite]] — AI-driven learning optimization plus access to verified great teachers. the idea acknowledges: "this might be something that already exists, and it's just hard to achieve the ideal case. but if we do, it's better."
+
+**spreadsheet evaluation:** originality 5/10, excitement 8/10, MVP 3-6 weeks. competitive landscape: Gooroo uses in-person interview vetting and is closest, Wyzant and Varsity Tutors do background checks + reviews but don't enforce pedagogical standards — no platform structurally enforces a three-pillar vetting framework (technical experience, teaching ability, verified reviews). marketplace cold-start problem — vetting process is the moat but also the bottleneck, could start hyperlocal (Bay Area only). tech depth 3/10, labeled [WRONG FIT] ("marketplace, not a technical grind").
+
+---
+
+## timeline
+
+- [2026-02-16] captured in ideaflow — voice note exploring two-and-a-half dimensions of tutor quality
+- [2026-04-10] google sheets evaluation — 5/10 originality, 8/10 excitement, [WRONG FIT] tier
\ No newline at end of file
wiki/ui-flow.md
new file mode 100644
index 0000000..0d26381
@@ -0,0 +1,29 @@
+---
+first_captured: 2026-04-10
+sources:
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- productivity
+- ai
+- software
+- screen-recording
+title: UI flow — contextual software coach
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# UI flow — contextual software coach
+
+an app that watches your screen activity and proactively suggests UI tutorials, settings, and features you're not using in commonly known apps. like a contextual coach for software productivity — it notices you're doing something the hard way and shows you the shortcut or feature that would help.
+
+this was listed as part of a "nice trio" of software projects alongside convo-flow and [[pause|Pause]]. the cross-app screen-watching + contextual suggestion combo differentiates it from enterprise products like Whatfix and WalkMe, which are installed by the app maker for their own app. no consumer product watches your general screen usage and proactively suggests tips across all apps.
+
+**spreadsheet evaluation:** originality 8/10, excitement 9/10 (one of the highest-excitement ideas), MVP 4-8 weeks. privacy-heavy — needs screen recording permission. could use local LLM to avoid sending screenshots to cloud. useful but "screen watcher" products face trust barriers. could start with one app (e.g. just VS Code tips). tech depth 7/10, labeled [WRONG FIT] ("screen recording + activity recognition — interesting but massive scope for 2 months").
+
+---
+
+## timeline
+
+- [2026-04-10] captured from google sheets — 8/10 originality, 9/10 excitement, [WRONG FIT] for 2mo scope
\ No newline at end of file
wiki/ultimate-describer.md
new file mode 100644
index 0000000..eea7edb
@@ -0,0 +1,38 @@
+---
+first_captured: 2026-03-15
+sources:
+- sources/ideaflow/2026-03-15_framing-generally-totally-matters.md
+- sources/google-sheets-ideas.md
+status: built
+tags:
+- writing
+- ai
+- nlp
+- software
+title: precision description engine
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# precision description engine
+
+"ultimate describer" — an engine for making descriptions more precise. won a hackathon. the architecture is layered:
+
+1. **core engine** — precision mapping: take input text, identify vague/ambiguous terms, generate a spectrum of replacements from vague to precise, score along a specificity axis
+2. **context calibration** — audience profiling, domain vocabulary, cross-language precision, emotional register
+3. **personalization** — quiz/preference system, style inference from user writing, comparative selection
+4. **output modes** — inline text replacement, visual generation, vague-to-precise slider
+5. **applications** — anti-slop writing, copywriting, job/program applications, [[referral-hiring|hiring]] role descriptions, VC pitches, self-intros at events, teaching users to describe better, Claude skill writing, media generation, translational meaning preservation, writing in someone's voice
+6. **evaluation** — A/B testing, user inspection, iterative model improvement
+
+the core insight that "framing generally totally matters" — at networking events, how you describe yourself (timid vs boisterous vs precise) completely changes the outcome. this tool systematizes precision in self-description. connects to [[oncue|OnCue]] for the interview/application output side, and to the [[cultural-translator|cultural translator]] for cross-context communication.
+
+**spreadsheet evaluation:** excitement 10/10. the spreadsheet contains an extensive application list beyond the hackathon version: college supplemental essays/scholarships/awards, teacher feedback and learning optimization, young founder cold outreach, grant/proposal writing (noted competitor: GrantBoost), sales, event invitations, difficult conversations and negotiations. tech depth ranked 4/10, labeled [WRONG FIT] ("useful but thin technically — more of a prompt engineering project than a hard problem"). the shenal-maker/ultimate-describer GitHub repo and hackathon win are documented.
+
+---
+
+## timeline
+
+- [2026-03-15] captured with full layered architecture — won a hackathon
+- [2026-04-10] google sheets evaluation — 10/10 excitement, expanded application list, [WRONG FIT] for tech depth
\ No newline at end of file
wiki/ultimate-predictor.md
new file mode 100644
index 0000000..d4f2ccc
@@ -0,0 +1,28 @@
+---
+first_captured: 2026-01-24
+sources:
+- sources/ideaflow/2026-01-24_train-an-alg-to-predict-how-long-until.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- sports
+- ml
+- software
+title: ultimate point predictor
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# ultimate point predictor
+
+train an algorithm to predict how long until an ultimate frisbee point ends, or classify states: playing, about to score, point over (not playing). a fun sports ML application.
+
+**spreadsheet evaluation:** originality 8/10, excitement 3/10, MVP 4-8 weeks. competitive landscape: sports analytics ML exists for basketball (Second Spectrum), soccer — ultimate frisbee analytics is extremely underdeveloped (Ultiworld does basic stats). novel sport + novel application. needs labeled training data (game footage with timestamps), could use AUDL or Ultiworld tournament footage. computer vision for player tracking + disc tracking is the hard part. tech depth 5/10, labeled [ARCHIVE] ("fun but niche and small").
+
+---
+
+## timeline
+
+- [2026-01-24] captured — ultimate frisbee point prediction
+- [2026-04-10] google sheets evaluation — 8/10 originality, 3/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/universal-agentic-searcher.md
new file mode 100644
index 0000000..9ff77f5
@@ -0,0 +1,31 @@
+---
+first_captured: 2025-10-16
+sources:
+- sources/apple-notes/archived/universal-agentic-searcher.md
+status: explored
+tags:
+- search
+- ai
+- agents
+- software
+title: universal agentic searcher
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# universal agentic searcher
+
+a searcher that goes beyond what any single tool does for finding people, companies, events, communities, opportunities, and colleges. current approaches all have gaps: LLMs directly have outdated info, web search misses things, deep research can not avoid duplicates across runs, manual searches cannot cover all permutations, and blog lists are terrible.
+
+the proposed solution: a deep research pipeline (10+ steps, like a human researcher) with adaptive features — show preliminary results for feedback, time selector (1m, 5m, 20m), source prioritization, real-time research dashboard. output as a nice spreadsheet or any desired format. infrastructure: n8n + Apify + OpenAI.
+
+existing competitors: Datablist (sucky search), Clay (only GTM data), various scrapers (Import.io, Apify, Browse.ai, Thunderbit, Kadoa), Clado (YC, doing "deep research"), GPT-for-sheets. none combine the full pipeline. "still a bit clunky to implement (would like it though)."
+
+connects to the [[life-search|life search]] for personal data and to the [[quality-search|quality content search]] for the content-filtering variant.
+
+---
+
+## timeline
+
+- [2025-10-16] detailed competitive analysis, architecture design, gap analysis
\ No newline at end of file
wiki/universal-data-capturer.md
new file mode 100644
index 0000000..5de68ac
@@ -0,0 +1,36 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_the-universal-data-capturer-thing-projectidea.md
+- sources/apple-notes/archived/potential-projects-archived.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- data
+- logging
+- productivity
+- discord
+- software
+title: universal data capturer
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# universal data capturer
+
+an unstructured data logger that accepts video, clicks, audio, text, or messages to a bot. the key use case: seamlessly gather data on anything — sleep patterns, yawn counts, caffeine intake — and easily wire it to google sheets.
+
+the interesting extension is an LLM-powered dynamic schema system: describe what kind of data you want to track to an LLM and it automatically updates your google sheet. one day you decide to track music practice time, you tell a discord bot, and a new column appears. the bot interface would support insert row, insert column, and delete column operations, with the LLM parsing natural language into these structured commands.
+
+this is the software-side infrastructure for the broader [[sensor-capturer|sensory capture]] vision. it also connects to the [[universal-habits|universal habits]] system which would need data inputs to know when to trigger reminders (e.g., "button next to my bed" to log wake-up time). the [[ifttt-personal|personal IFTTT]] idea overlaps in the automation layer.
+
+**spreadsheet evaluation:** originality 7/10, excitement 7/10, MVP 1-2 weeks. competitive landscape: GPT for Sheets (SheetAI) and Gemini in Sheets do AI-in-spreadsheet but with pre-defined schemas, n8n workflows can parse text to Sheets but require setup — no product dynamically creates new columns as new data types emerge from unstructured input. the LLM-creates-columns part is the novel bit. MVP could be a Telegram bot to Sheets pipeline with GPT parsing; API costs scale with usage. tech depth 5/10, labeled [WRONG FIT] ("interesting but more product than hard problem").
+
+---
+
+## timeline
+
+- [2025-12-22] captured in ideaflow — discord bot architecture, dynamic google sheets schema
+- [2025-12-22] also in apple notes potential-projects — strikethrough indicating moved to ideaflow
+- [2026-04-10] google sheets evaluation — 7/10 originality, 7/10 excitement, MVP 1-2 weeks, [WRONG FIT] tier
\ No newline at end of file
wiki/universal-habits.md
new file mode 100644
index 0000000..90ddfce
@@ -0,0 +1,47 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_i-have-so-many-little-habits-that-would.md
+- sources/ideaflow/2025-12-31_habits-universally-is-something-i-want-to-do.md
+- sources/ideaflow/2026-01-01_universal-habits-adaptive-on-point-reminders-would-love.md
+- sources/ideaflow/2025-12-23_big-things-for-january-feburary.md
+- sources/ideaflow/2026-01-08_something-to-get-ppl-to-sleep-more-kinda.md
+- sources/ideaflow/2025-12-22_invokingimprinting-thoughts.md
+- sources/apple-notes/archived/potential-projects-archived.md
+- sources/google-sheets-ideas.md
+status: explored
+tags:
+- habits
+- productivity
+- reminders
+- wearable
+- software
+- bigprojectidea
+title: universal habits
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# universal habits
+
+the biggest recurring idea across multiple captures: a system that makes all your small habits visible, contextual, and adaptive. the James Clear insight — make it visible — but taken to its technical extreme. the core problem: having many small habits that would improve life (spray shoes, don't swear, eat fruit in the morning, think of other perspectives) but it is hard to remember all of them and get reminders at the right moments.
+
+the proposed solution is an LLM-based assistant that has access to many information readers (location, time, weather, calendar) and puts together contextual triggers. example: "when harrison gets home from 11am to 3pm and its raining, bring the socks inside." or "when jacob gets within 10m of home and the temperature is very high, xyz." this is essentially [[ifttt-personal|IFTTT but with automatic rule creation]] — the LLM can make an initial guess at what combinations would work and then refine through data ("are you awake?").
+
+the hardest habits are mindset shifts like "think of other perspectives" or "think before speak" — these cannot simply be reminded. one rough solution is randomly timed reminders. a deeper exploration considered wearable devices (pad stuck to arm, watch-but-better) as input modalities. the [[invoking-thoughts|invoking/imprinting thoughts]] idea extends this into using sensory triggers (anecdotes, specific feelings, emojis) to make habit reminders more emotionally impactful rather than just text notifications.
+
+also connects to "something to get people to sleep more" as a specific instantiation. Pause (the app that was [[pause|actually built]]) addresses a subset of this — screen breaks and reminders.
+
+**spreadsheet evaluation:** the spreadsheet breaks this into three related entries. "Universal Habits Adaptive Reminders" (the IFTTT+LLM version) scored originality 8/10, excitement 8/10, MVP 4-8 weeks — the "most ambitious and interesting version" needing access to many data sources (location, weather, calendar, smart home). "Visible Habits System" (the James Clear version) scored originality 5/10, excitement 8/10, MVP 2-4 weeks — acknowledged as heavily overlapping, with the novel angle being contextual intelligence rather than another tracker. "BCI Habits Thoughts" (the sensory memory replay version) scored originality 8/10, excitement 7/10, MVP 2-4 weeks for app / 8+ weeks for BCI variant — distinct mechanism using memory/emotion replay rather than just reminders. "Sleep Habit Reinforcer" scored originality 6/10, excitement 5/10, identified as better as a feature of the universal data capturer than standalone. tech depth 6/10 for adaptive reminders, 4/10 for visible habits; labeled [STRONG] and [WRONG FIT] respectively. blue ocean analysis: EMERGING market positioning with medium 2-month feasibility.
+
+---
+
+## timeline
+
+- [2025-12-22] detailed capture of specific habits and what is/isn't solved
+- [2025-12-23] identified as big project for january/february
+- [2025-12-31] reaffirmed: "habits universally is something i want to do"
+- [2026-01-01] detailed adaptive reminders concept with location/time/weather triggers
+- [2026-01-08] sleep-specific variant captured
+- [2026-04-10] google sheets evaluation — adaptive reminders 8/10 originality, 8/10 excitement; visible habits 5/10 originality, 8/10 excitement; BCI habits 8/10 originality, 7/10 excitement; EMERGING blue ocean
\ No newline at end of file
wiki/vibe-matcher.md
new file mode 100644
index 0000000..c947721
@@ -0,0 +1,31 @@
+---
+first_captured: 2025-12-31
+sources:
+- sources/ideaflow/2025-12-31_vibe-matcher-social-network.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- social
+- matching
+- ml
+- software
+title: vibe matcher social network
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# vibe matcher social network
+
+a social network that quantifies what makes people "vibe" together and uses those factors to match them. the inspiration came from a conversation with Jacob about why they get along so well — some factors are identifiable, but there are likely many more, "possibly to the unclassifiable extent where we need machine learning."
+
+the vision: like dating apps, but generalized to all relationships. people find others they genuinely love hanging out with. "it would actually create a lot of value that a lot of people actually are looking for." connects to the [[social-network-analysis|social network mapping]] cluster and the [[info-exchanger|info exchanger]] idea for pre-conversation context sharing.
+
+**spreadsheet evaluation:** originality 7/10, excitement 7/10, MVP 8-16 weeks. competitive landscape: Bumble BFF and Friender do friend-matching but use basic profile similarity, Peanut matches moms — no product uses ML on deep compatibility factors for general social matching. the "robust quantification of vibe" is the hard and novel part. massive cold-start and data problem — need enough users AND enough interaction data to train meaningful compatibility models. the matching algorithm IS the product. could prototype with detailed questionnaires before ML. tech depth 6/10, labeled [WRONG FIT] ("ML on interaction patterns is interesting but you need massive data you don't have").
+
+---
+
+## timeline
+
+- [2025-12-31] captured in ideaflow — voice note about vibing with Jacob
+- [2026-04-10] google sheets evaluation — 7/10 originality, 7/10 excitement, MVP 8-16 weeks, [WRONG FIT] tier
\ No newline at end of file
wiki/video-doorbell.md
new file mode 100644
index 0000000..b3e10f3
@@ -0,0 +1,27 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/ideaflow/2025-12-22_video-camera-system-that-is-hooked-up-to.md
+- sources/apple-notes/archived/potential-projects-archived.md
+status: raw
+tags:
+- hardware
+- cv
+- software
+title: video doorbell / face recognition
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# video doorbell / face recognition
+
+a video camera system hooked up to a constantly-on computer running image recognition. when the door opens, sends a message identifying who it is. "some kind of CV or other ML for real life application (like Trace)."
+
+a practical CV/ML project with clear utility. connects to the broader hardware interest in the [[sensor-capturer|sensor capturer]] and [[pupilometry-glasses|pupilometry glasses]] through the computer vision skillset.
+
+---
+
+## timeline
+
+- [2025-12-22] captured — CV-based door identification
\ No newline at end of file
wiki/voice-recognition-improvement.md
new file mode 100644
index 0000000..59a2284
@@ -0,0 +1,29 @@
+---
+first_captured: 2026-03-14
+sources:
+- sources/ideaflow/2026-03-14_voice-rec-not-great-rn-foreign-ast-names.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- voice
+- nlp
+- software
+title: voice recognition improvement
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# voice recognition improvement
+
+voice recognition is not great right now, especially for foreign names, AST names, companies, etc. "arguably the most important" — improving this could be very impactful. this is a critical dependency for the [[always-on-ai-assistant|always-on AI assistant]] and the [[brain-rewinder|brain rewinder]] which both rely on accurate transcription.
+
+**spreadsheet evaluation:** excitement 5/10. tech depth 7/10, labeled [ARCHIVE] ("research problem, not a 2mo project"). while technically deep, this is a massive scope problem best suited for dedicated research labs.
+
+---
+
+## timeline
+
+- [2026-03-14] captured — foreign name recognition as key gap
+- [2026-04-10] google sheets evaluation — 5/10 excitement, [ARCHIVE] tier (research problem)
\ No newline at end of file
wiki/voice-to-3d-model.md
new file mode 100644
index 0000000..b6bf0e2
@@ -0,0 +1,29 @@
+---
+first_captured: 2026-01-02
+sources:
+- sources/ideaflow/2026-01-02_talk-to-an-llm-and-find-3d-model.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- ai
+- 3d
+- creative
+- software
+title: voice to 3D model
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# voice to 3D model
+
+talk to an LLM and find/generate a 3D model of anything — yoga poses, engineering schematics, sculpture. "voice sculpture; voice to nano banana." a creative tool bridging natural language to 3D space.
+
+**spreadsheet evaluation:** originality 7/10, excitement 3/10, MVP 2-4 weeks. competitive landscape: text-to-3D exists (OpenAI Shap-E, DreamFusion, Meshy.ai, Luma AI Genie) — voice-to-text-to-3D is trivially composable but no product optimizes the conversational refinement UX ("make the arm longer," "rotate 30 degrees"). technically a thin wrapper on STT + text-to-3D. quality depends on underlying 3D model quality which is improving fast. tech depth 8/10, labeled [ARCHIVE] ("cool but massive scope").
+
+---
+
+## timeline
+
+- [2026-01-02] captured — voice-to-3D concept
+- [2026-04-10] google sheets evaluation — 7/10 originality, 3/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/wifi-client.md
new file mode 100644
index 0000000..e783ac1
@@ -0,0 +1,29 @@
+---
+first_captured: 2025-12-22
+sources:
+- sources/apple-notes/archived/wifi-client.md
+- sources/ideaflow/2026-01-01_things-we-can-do.md
+- sources/apple-notes/archived/potential-projects-archived.md
+status: raw
+tags:
+- networking
+- software
+- utility
+title: wifi client
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# wifi client
+
+an app that organizes and remembers all WiFi networks you have joined, saves passwords automatically, shares passwords with friends, searches for free WiFi and auto-joins. for captive portals (like Phil's Coffee), it uses a fake email to auto-authenticate. also shows security info, speeds, historical performance, and settings for auto-join preferences.
+
+the deeper learning interest in WiFi included: understanding the WiFi protocol, controlling which networks to connect to, opening your own captive portal, seeing server responses, understanding how guest WiFi gives just enough data to load the portal. this connects to radio signals and ham radio licensing interests in the [[learning-suite|learning suite]].
+
+---
+
+## timeline
+
+- [2025-12-22] detailed feature spec in apple notes
+- [2026-01-01] listed as active software project
\ No newline at end of file
wiki/writing-tools.md
new file mode 100644
index 0000000..1b4e7b5
@@ -0,0 +1,34 @@
+---
+first_captured: 2026-02-19
+sources:
+- sources/ideaflow/2026-02-19_get-a-suite-of-tools-for-grammar-detection.md
+- sources/ideaflow/2026-03-30_syntax-is-not-as-important-these-days-than.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- writing
+- ai
+- software
+title: writing tools suite
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# writing tools suite
+
+a suite for grammar detection, AI detection, plagiarism detection, and polishing/writing help that is not AI or is better than AI — "because AI really really sucks" at writing naturally. there should be a way to get AI to write well.
+
+the deeper insight from a later capture: syntax is not as important these days as meaning, because LLMs can rewrite to keep the same content and make it cleaner. could we create a "universal canonical form of language" — an LLM understands exactly what you want to say, outputs a spec, and then that can be rewritten in different ways and interpolated? "kinda like standard basis or identifying different ways to represent one meaning together."
+
+this is the technical writing-quality complement to the [[ultimate-describer|precision description engine]] and connects to the [[college-essay-grader|college essay grader]] for the evaluation side.
+
+**spreadsheet evaluation:** originality 4/10, excitement 4/10, MVP 2-4 weeks. competitive landscape: Grammarly now has grammar + AI detection + plagiarism + AI Humanizer, Originality.ai does AI detection + plagiarism, ProWritingAid does style + grammar — Grammarly's AI detection recall reportedly only 22.2%. crowded space, hard to compete with Grammarly's distribution. tech depth 3/10, labeled [ARCHIVE] ("Grammarly exists").
+
+---
+
+## timeline
+
+- [2026-02-19] captured — grammar/AI/plagiarism detection suite
+- [2026-03-30] deeper exploration — canonical form of language, meaning over syntax
+- [2026-04-10] google sheets evaluation — 4/10 originality, 4/10 excitement, [ARCHIVE] tier
\ No newline at end of file
wiki/youre-not-behind.md
new file mode 100644
index 0000000..3deaa3b
@@ -0,0 +1,32 @@
+---
+first_captured: 2026-01-08
+sources:
+- sources/ideaflow/2026-01-08_a-youre-not-behind-machine.md
+- sources/ideaflow/2026-03-11_lead-a-dont-worry-about-college-movement-at.md
+- sources/google-sheets-ideas.md
+status: raw
+tags:
+- mental-health
+- college
+- software
+title: you're not behind machine
+type: idea
+updated: 2026-04-10
+visibility: public
+---
+
+# you're not behind machine
+
+a tool that counters the "I'm behind" anxiety, especially for college. shows that people who got into top schools just presented themselves well, not that they had 10x more accomplishments. core messages: you have time (if you are efficient from now on, you can do crazy things), and "im behind" energy is just generally not productive — change your goals instead.
+
+the related "don't worry about college" movement idea: lead it at Nueva, get admin support, emphasize that the college game does not have to be zero sum. lots of anxiety and pressure comes from college stress. connects to the [[consciousness-for-students|student consciousness]] idea and the [[motivation-education|motivation in education]] thinking.
+
+**spreadsheet evaluation:** the "You're Not Behind" website scored originality 9/10, excitement 5/10, MVP 1-2 weeks — no interactive personalized tool exists where a student inputs their age/field and sees a curated feed of people who were "behind" at that point and still succeeded. scattered blog posts and listicles exist but nothing interactive. content curation is the main work not engineering. the "Don't Worry About College" movement scored excitement 6/10, labeled [ARCHIVE] ("social initiative, not tech"). tech depth 2/10, labeled [ARCHIVE] ("content project").
+
+---
+
+## timeline
+
+- [2026-01-08] captured — counter-anxiety tool
+- [2026-03-11] movement variant — don't worry about college at Nueva
+- [2026-04-10] google sheets evaluation — website 9/10 originality, 5/10 excitement; movement 6/10 excitement; both [ARCHIVE]
\ No newline at end of file