aientity · corroborated across sources

glm5.3-flash

for ml engineers

Steady

signal score

🔗 2

independent sources

live items

↓ Cooling

7-day est. ~20

hackernewshuggingface

Why this scored 32

every term, weighted

Velocity+3.1 / 40 max

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.4 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+12.5 / 25 max

How many independent communities its own items come from

Recency+8.5 / 10 max

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−3.0 / 30 max

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite32.5

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, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~20

range 0–32

14-day

range 0–0

30-day

range 0–0

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.