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dataentity · one source so far

fdegym

for ML researchers, data scientists

Steadyhuggingface
Signal score
23
Live items
1
Trajectory
↓ Cooling
7-day est. ~0

Why this scored 23

every term, weighted
Velocity+6.2 / 40

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

Acceleration+12.7 / 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+7.8 / 10

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

Saturation penalty−3.7 / 30

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

Composite23.0

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

~0

range 0–14

14-day

~0

range 0–18

30-day

~0

range 0–23

Signal history

7-day window (free)
086

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.

  1. 1
    31

    FDE-Gym: The Last Mile of AI Delivery

    Defines a benchmark for the final delivery stage of AI systems. · for ML ops teams

    arxivSteady 2 · fdegymai3d ago
  2. 2
    4

    DeepLethe/FDE-Gym (dataset)

    New FDE-Gym benchmark dataset for forward-deployed ML agents released. · for ML researchers, data scientists

    huggingfaceSteadydata−16 saturated2d ago