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dataentity · one source so far

cosmos3-droid

for ML researchers

Steadyhuggingface
Signal score
12
as of 44d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 12

every term, weighted
Velocity+0.0 / 40

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

Acceleration+12.4 / 25

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

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+5.0 / 10

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

Saturation penalty−5.4 / 30

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

Composite12.1

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

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

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.

  1. 1
    18

    nvidia/Cosmos3-DROID (dataset)

    Introduces the Nvidia Cosmos3-DROID dataset for large-scale ML research. · for ML researchers

    huggingfaceSteady 3 · nvidiadata−11 saturated51d ago