Documentation
Attention Score
Attention is measured from real, live signals — not a fabricated number. Each surface is ranked by a concrete metric drawn from its source data.
What it measures
Attention reflects emerging interest in a narrative, founder, project, or market — computed live from the underlying sources. It is weighted toward acceleration, so something small but fast-moving can outrank something large but flat. For the exact metric behind each surface, see the Ranking System.
Importantly, LoreonLabs does not invent 0–100 scores or place entities by hand. Every number shown — stars, 24h change, article counts, contributions, momentum — comes from a real source.
Inputs
The score blends several normalized inputs:
- Social velocity — rate of change in mentions and discussion across communities.
- Developer activity — commits, releases, and contributor growth where applicable.
- Market attention — market data and liquidity context for relevant entities.
- Source diversity — how many independent sources corroborate the signal.
Tiers
Scores roll up into readable tiers so you can scan quickly without reading every number:
- Emerging — early but accelerating; little mainstream awareness yet.
- Accelerating — momentum is compounding across sources.
- Mainstream — broadly recognized; attention is saturated.
- Cooling — attention is receding from a prior peak.
Interpreting the score
Treat the score as a relative ranking signal, not an absolute verdict. The momentum value beside it tells you direction; the tier tells you stage. Read them together with the underlying sources.