github.com/mattalldianhr/Scorecard
A team defines weighted criteria for what makes a feature worth building; then everyone — humans and a slate of AI models — scores the candidate features against that rubric. Results land in real-time charts you can export as JSON, CSV, or pixel-perfect histograms. The interesting move is treating the AI raters as additional voters with their own weights rather than as the answer.