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huggingfacedata

mvaccargiu/gitskills (dataset)

Dataset of GitHub repositories for mining software-repo metrics and LLM agents.

Steady
Signal score
2
as of 47d ago
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 2

every term, weighted
Velocity+0.0 / 40

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+12.3 / 25

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

Cross-source spread+0.0 / 25

How many independent communities are talking about the same entity

Recency+0.0 / 10

Decays to zero over 14 days

Saturation penalty−9.9 / 30

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite2.4

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic'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

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

Entities

gitskills
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[![Signalcrest signal](https://www.signalcrest.app/api/badge/hf%3Ads%3Amvaccargiu%2Fgitskills)](https://www.signalcrest.app/topic/hf%3Ads%3Amvaccargiu%2Fgitskills)

Drop this in a README or blog post — it updates automatically as the score moves.