aientity · corroborated across sources
kimi linear
for ai researchers
Steady10
signal score
1
live items
⏳ Too early
trajectory — needs a few more snapshots
hackernews
Why this scored 10
every term, weightedVelocity+0.0 / 40 max
Its fastest-moving item, measured against the pace of its own source
Acceleration+0.0 / 25 max
Whether that velocity is itself speeding up, as a per-hour rate
Cross-source spread+0.0 / 25 max
How many independent communities its own items come from
Recency+9.9 / 10 max
Decays to zero over 14 days, counted from when we first saw it
Saturation penalty−0.2 / 30 max
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Composite9.8
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement. Full methodology