Scoring Methodology
Transparent algorithms that surface what matters. No black boxes, no hidden agendas — just math.
Heat Score
Measures real-time momentum and viral potential
Factors
Recency
Stories published in the last 24 hours score higher. Decay function applies after 48 hours.
Source Velocity
How quickly a story spreads across multiple sources indicates high interest.
AI Feature Recognition
Gemini 1.5 Flash extracts technical signals like API launches and new model releases to identify high-velocity news.
Impact Score
Measures lasting importance and developer relevance
Factors
Developer Relevance
Presence of API endpoints, SDKs, or architectural changes that directly affect build workflows.
Industry Effect
Weighting based on company size and market reach, prioritizing foundation model labs and established research.
Technical Significance
The novelty and complexity of the development, including architecture shifts and SOTA breakthroughs.
Regulatory Weight
Consideration of major policy shifts, export controls, and AI safety regulations.
Rank Score
The final ranking that determines story order
The multiplicative relationship means a story needs both high momentum and high importance to rank at the top. A viral but trivial story won't dominate, and neither will an important but ignored one.
Interpreting Scores
Top-tier news. Major announcements, breaking research, or significant industry shifts.
Noteworthy updates. Worth reading if the topic is relevant to your work.
Minor news. Incremental updates or niche topics with limited broad impact.
Note: Scores are calculated algorithmically and updated continuously. While we strive for objectivity, editorial overrides may be applied in rare cases to correct obvious errors or flag misinformation.