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aientity · one source so far

qwen3

for NLP researchers, AI developers

Steadyhuggingface
Signal score
2
Live items
1
Trajectory
↓ Cooling
7-day est. ~0

Why this scored 2

every term, weighted
Velocity+5.3 / 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+0.0 / 10

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

Saturation penalty−15.6 / 30

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

Composite2.4

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 0–12

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
040

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
    18

    HuggingFaceBio/Carbon-X (text-generation)

    Carbon-X model from HuggingFaceBio uses Qwen3 and safetensors for text generation. · for NLP researchers, AI developers

    huggingfaceSteadyai−6 saturated1d ago
  2. 2
    0

    unsloth/Qwen3.6-27B-NVFP4 (image-text-to-text)

    Image-text model · for ai researchers

    huggingfaceSteadyai−15 saturated104d ago
  3. 3
    0

    EschaLabs/Qwen3.6-35B-A3B-Escha-W2 (text-generation)

    Text generation model · for ai researchers

    huggingfaceSteadyai−15 saturated88d ago