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 current approaches all have gaps: LLMs directly have outdated info, web search misses things, deep research can not avoid duplicates across runs, manual searches cannot cover all permutations, and blog lists are terrible.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 for personal data and to the quality content search for the content-filtering variant.

timeline

• [2025-10-16] detailed competitive analysis, architecture design, gap analysis