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aientity · corroborated across sources

unsloth dynamic 3.0

for ml engineers

Steady

16

signal score

as of 5d ago

1

live items

Steady

7-day est. ~13

hackernews

Why this scored 16

every term, weighted
Velocity+0.0 / 40 max

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

Acceleration+11.3 / 25 max

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

Cross-source spread+0.0 / 25 max

How many independent communities its own items come from

Recency+8.0 / 10 max

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

Saturation penalty3.2 / 30 max

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

Composite16.1

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

Outlook

low confidence · estimate, not a guarantee

7-day

~13

range 025

14-day

~9

range 024

30-day

~0

range 020

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.

  1. 116

    Unsloth Dynamic 3.0 GGUFs

    Unsloth releases Dynamic 3.0 GGUFs, offering faster, smaller model files for inference. — for ml engineers

    hackernewsaiSteady7d ago