Structured Knowledge Base from Podcast Founder Interviews
Entrepreneurs are drowning in generic AI startup advice that lacks grounding in real decisions. They want a searchable knowledge base built from actual founder podcast interviews with verbatim quotes, timestamped clips, and structured decision context. Not transcripts. Structured, queryable founder wisdom.
The defensible moat here isn't the AI extraction (anyone can transcribe and summarize). It's the editorial curation of WHICH podcasts matter and the structured ontology of founder decisions. Start with the 20 highest-signal podcasts (My First Million, Lenny's Podcast, The Changelog, etc.) and build the knowledge graph depth-first, not breadth-first.
landscape (3 existing solutions)
Podcast AI tools focus on summarization and personal note-taking. Nobody has built a structured, cross-episode knowledge base that extracts founder decisions, links outcomes to strategies, and provides verbatim evidence. The closest analogy is case law databases but for startup decisions.