dataentity · corroborated across 2 sources

nvidia

for ml engineers, data scientists

Steadyhackernewshuggingface

Signal score

Sources

independent communities

Live items

Trajectory

↑ Accelerating

7-day est. ~48

Why this scored 46

every term, weighted

Velocity+40.0 / 40

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

Acceleration+11.4 / 25

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

Cross-source spread+12.5 / 25

How many independent communities its own items come from

Recency+0.0 / 10

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

Saturation penalty−17.6 / 30

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

Composite46.2

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

medium confidence · estimate, not a guarantee

7-day

~48

range 22–67

14-day

~54

range 23–76

30-day

~56

range 18–86

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.