Dev Tools · 2h ago
Developer builds YouTube performance classifier to auto-tune video scripts
A developer created a 330-line Python script that fetches the last 30 videos via YouTube Data API, classifies them as high or low performers using median-based thresholds, and writes bias hints to a knowledge file. The script runs daily, closing the feedback loop for an automated VTuber channel that generates daily scripts. No machine learning is used—just simple statistics to adjust future content.
Meridian48 take
The project is a neat example of closing a data loop for automated content, but the median-based classifier is rudimentary and may not capture nuanced performance signals.
Read the full reporting
How I built a YouTube performance classifier that adjusts tomorrow's video script bias →
DEV Community
youtube-apiautomation