Signalcrest
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aientity · corroborated across sources

llmlib

for ai platform teams

Cooling

7

signal score

as of 12h ago

1

live items

Too early

trajectory — needs a few more snapshots

npm

Why this scored 7

every term, weighted
Velocity+0.2 / 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+0.0 / 25 max

How many independent communities its own items come from

Recency+8.9 / 10 max

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

Saturation penalty2.5 / 30 max

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

Composite6.7

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

Signal history

7-day window (free)

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. 110

    @7n/llm-lib-linux-x64 — Prebuilt llm-lib napi addon for @7n/llm-lib — Linux x64 (glibc)

    Prebuilt llm-lib addon — for linux devs

    npmaiCooling2d ago
  2. 210

    @7n/llm-lib — Тонкий шар роботи з LLM (локальні omlx + хмарні провайдери) поверх pi: model tiers, one-shot, agentic-раннери, write-guard, tr

    LLM library for local and cloud providers — for ai platform teams

    npmaiCooling13h ago