RepoSignal scores GitHub repos for adoption risk. No AI, no servers
Local-first repo scoring with drift tracking beats cloud dashboards like Ossinsight.
GitGauge — Chrome extension that scores GitHub repository authenticity from stars/forks/watchers/issues ratios.
Star-farming detector using fork ratios when GitHub already shows these metrics natively.
Developers evaluating open source projects before adoption
Star-Gauge · RepoAuth · GitHub Insights
I'd love to hear some feedback!
The part I’m least confident about is the heuristic. Right now it uses stars, forks, watchers, and open issues. I’d be really interested in where people think that breaks down, especially for niche repos, old repos, or heavily used internal-tool style projects.
Local-first repo scoring with drift tracking beats cloud dashboards like Ossinsight.
Vanity metric generator for engineering leaders who love dashboards.
Scores every repo on 12 checks with direct links to GitHub settings for fast fixes.
Single-page scorer for AI-ready repos when 'code quality' already covers this.
Unified AI API when OpenRouter already dominates the model aggregation space.
Originality scores rank repos against category peers instead of raw star counts.