Public market metadata
Pull current videos for a seed market, rank the field with public engagement counters, and preserve the source candidates for reproducible analysis.
AutoYT connects public YouTube market intelligence to a rights-aware production pipeline: discovery, content planning, editing, metadata, thumbnails, uploading, public-effect custody, analytics and iteration.
Pull current videos for a seed market, rank the field with public engagement counters, and preserve the source candidates for reproducible analysis.
Aggregate channel/title behavior into keywords, opening-token patterns, title-shape statistics and reusable market signals instead of duplicating somebody else's protected creative work.
Turn aggregate signals into concise original video briefs with a hook, narrative structure and a rights rule that downstream production can execute.
export YOUTUBE_API_KEY=...
autoyt-market-pack "AI coding agents" \
--region US \
--days 3 \
--top 25 \
--out autoyt-market-pack.jsonThe JSON artifact contains ranked candidates, keywords, aggregate market patterns and original content briefs so the rest of the production system has a bounded, inspectable input rather than an ad-hoc research step.
The runtime supervises orchestration and uploading and reconciles publication evidence so a queued upload is not confused with a real public effect.
The product architecture is built around repeated discovery → production → publication → measurement → iteration across channels rather than one-off generation.
AutoYT is meant to use existing providers, models, editors and YouTube APIs where they are good, then own the orchestration and evidence that joins them together.