Trust
Methodology and scoring
Public documentation on how we prioritize signal over hype: production weights, data confidence and a unified change taxonomy.
v1.0.0Effective from: 2026-08-25
What changed in this version
Initial release: public Radar Score docs, data confidence, fail-closed Breakout, and unified signal taxonomy.
Production scoring weights
These weights mirror deployed TypeScript constants and SQL. Each published version stores a snapshot in the database.
AI Tools — Radar Score
| usefulness | 30 |
| adoption | 20 |
| updates | 15 |
| priceValue | 15 |
| maturity | 10 |
| community | 5 |
| documentation | 5 |
| Total | 100 |
Catalog (repos, skills, MCP, LLM)
| trend | 40 |
| developerValue | 45 |
| antiHype | 15 |
| Total | 100 |
News — Impact Score
| developerRelevance | 35 |
| sourceAuthority | 25 |
| technicalImpact | 25 |
| novelty | 15 |
| Total | 100 |
HN community bonus (cap 10 pts)
YouTube
Video Impact and Radar Score use normalized weights (0–1) on views/h, engagement, channel and recency.
impact=1.00 · radar=1.00
Explainable signals
Each change feed row includes taxonomy type, magnitude, source and verification level.
View changes feed →