Scores finfluencers on what they actually called, not how loud they said it.
Pulls YouTube transcripts of finance creators, extracts the falsifiable calls, checks them against what the market did, and recomputes a track record per creator. A worker, a database and a Next.js front end. Beta runs in batches against a growing list of channels.
- Next.js
- Python worker
- Postgres
- Apify
BUILD LOGMAR → SEP
Phase: BETA
NEXT UP
Re-run the full roster to one as-of date, then finish the methodology docs.
LINKS
Screens
04 FROM THE REPO


