A finished research run on an example topic, shown in full — the findings, the sources behind them and the product versions are all the run's own output, except that a product name may have been changed where it matched an existing brand.
Untapped
Recapstack
A local-first meeting-memory layer that ingests transcripts and exports from any notetaker — Otter, Notion, Google Meet, Granola, or a self-hosted recorder — and merges them into one private, on-device searchable history.
What to build
MVP
A desktop app with import connectors for Notion export files, Google Meet Doc/Calendar attachments, and Otter/Granola exports, normalized into a local vector index with natural-language Q&A over the whole history.
Why it can be better
No existing local tool ingests notes from other platforms — Meetily, Hyprnote, and the long tail of solo repos only understand their own recordings, forcing users into per-tool silos; this is the first product to unify them without touching vendor cloud storage.
Revenue model
Paid desktop app with tiered pricing by number of connected sources, sold to professionals who already pay for 2+ notetaking tools and want one memory layer across them.
Target user
Consultants, founders, and knowledge workers who use multiple meeting tools across clients and calendars.
Context
The opportunity this answers
Build a local-first meeting-memory layer for professionals that unifies transcripts from any notetaker or capture mode into one private, searchable history.
Why now
A wave of open-source local-first notetakers built on Rust/Swift/Tauri has already proven demand for on-device processing, with diarization and Whisper models now standard, high-download building blocks anyone can bundle, while search interest for generic 'AI meeting notes' has plateaued — signaling the crowded cloud tier is saturated even as privacy-driven local alternatives keep multiplying, and none of them yet unify capture contexts, ingest rival platforms' exports, or sync back out privately.