Signalcrest
← Back to entity feed
aientity · corroborated across sources

airllm

for ai devs

Steady

10

signal score

🔗 2

independent sources

2

live items

Cooling

7-day est. ~4

devtohackernews

Why this scored 10

every term, weighted
Velocity+1.1 / 40 max

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

Acceleration+0.0 / 25 max

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

Cross-source spread+2.8 / 25 max

How many independent communities its own items come from

Recency+8.5 / 10 max

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

Saturation penalty2.2 / 30 max

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

Composite10.2

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. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~4

range 45

14-day

~2

range 22

30-day

~1

range 11

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. 112

    AirLLM Runs a 70B Model on a 4GB GPU. It's True, and That's Not the Interesting Part

    AirLLM runs on 4GB GPU — for ai devs

    devtoaiSteady🔗 2 · airllm1d ago
  2. 210

    AirLLM 70B inference with single 4GB GPU

    faster inference — for ai engineers

    hackernewsaiSteady🔗 2 · airllm2d ago