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Signalcrest
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aientity · corroborated across sources

dshpocket

for ai developers, ml engineers

Steady

14

signal score

1

live items

Cooling

7-day est. ~4

github

Why this scored 14

every term, weighted
Velocity+0.0 / 40 max

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

Acceleration+12.2 / 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+6.8 / 10 max

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

Saturation penalty5.5 / 30 max

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

Composite13.5

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

medium confidence · estimate, not a guarantee

7-day

~4

range 016

14-day

~0

range 07

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

    dsh-pocket — 把 DeepSeek Harness 装进你的口袋:电脑上跑 dsh web,手机扫码即同步访问(局域网 + 公网,实时同屏)Put DeepSeek Harness in your pocket: run dsh web on your compute

    Run DeepSeek locally and access via phone for quick LLM testing and demos. — for ai developers, ml engineers

    githubaiSteady15 saturated4d ago