Signalcrest
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aientity · corroborated across sources

apple silicon

for ai devs, mac users

Steady

10

signal score

1

live items

Cooling

7-day est. ~0

github

Why this scored 10

every term, weighted
Velocity+2.9 / 40 max

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

Acceleration+0.2 / 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+9.1 / 10 max

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

Saturation penalty1.9 / 30 max

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

Composite10.3

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

~0

range 00

14-day

~0

range 00

30-day

~0

range 00

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. 10

    dji-4g-vohive-mac — 在 Mac(Apple Silicon / Intel)上用 UTM 跑 Linux 虚拟机,把大疆 4G 模块(EG25-G)伪装成移远 Quectel EC25 并部署 vohive 平台的完整步骤

    githubSteady🔗 2 · linux26d ago
  2. 20

    turbo-fieldfare — Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook

    AI model runs on macbooks — for ai devs, mac users

    githubaiSteady🔗 2 · gemma19 saturated2d ago