youtube-rl-tracker
What I Do
Track YouTube video performance to discover patterns in what works. This is "poor man's reinforcement learning" - manually logging outcomes to improve over time.
The RL Loop
1. PUBLISH -> Upload video with hypothesis (thumbnail style, title hook, topic)
2. WAIT -> Let it run for 48-72 hours
3. LOG -> Record in Notion with views, CTR, retention
4. ANALYZE -> Compare winners vs losers
5. REPEAT -> Apply learnings to next video
Key Insight from First Data Point
Video 1: "Using AI agents to pay bills and send invoices"
- 8 views in 1 day
More from different-ai/agent-bank
writing-style
Clean up text while preserving the writer's voice - minimal edits only
270video-subtitle-cutter
Transcribe video, analyze subtitles with AI, and cut video by removing filler words, pauses, and mistakes
74linkedin-post
Draft high-performing LinkedIn posts using learnings from tweet performance data and 0 Finance messaging guidelines
22debug prod issues
Debug production issues on Vercel using logs, database inspection, and proper deployment waiting
20self-improve
Update skill documentation and extend OpenCode capabilities based on learnings
18skill-reinforcement
Always and Automatically improve skills after each use by capturing learnings and anti-patterns
14