callummcdougall/ARENA_3.0 — GitHub trend

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FINDING #8641 · UNIT ID 702144994

callummcdougall/ARENA_3.0

[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00291

ENGAGEMENT0.94

FRESHNESS1.67

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

5% OF STARS IN ARCHIVE

[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:

S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS

S8 · KEYWORD-STUFFED OR EMPTY DESCRIPTION

Growth Telemetry

VELOCITY /D

2.10

ACCEL

+0.03

RETENTION

41.4%

PEAK 2026-08-15 · FORK-RETENTION 100.0% · 63 STARS / WINDOW

Author Audience

AUDIENCE

683

FOLLOWERS

471

OWNER ★

2,118

Engagement Signals

FORKS

836

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 63 / 63 (DIVERSITY 1.00)

Why This Is A Finding

callummcdougall/ARENA_3.0 собрал 63 звёзд за окно, тогда как у автора всего 471 подписчиков — эффективная аудитория ≈ 683. Это даёт surprise-индекс 0.00291 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 100.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 11% OF 9679 FINDINGS

#220xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.0731 #295gmonce/scikit-learn-book[ JUPYTER NOTEBOOK ]0.0439 #467Nicolepcx/ai-agents-the-definitive-guide[ JUPYTER NOTEBOOK ]0.0338 #477raiyanyahya/how-to-train-your-gpt[ JUPYTER NOTEBOOK ]0.0334 #950zorost/AI-Engineering-Lab[ JUPYTER NOTEBOOK ]0.0218

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9679 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 11%

VELOCITY2.103.80-1.70ABOVE 22%

RETENTION41.4%25.0%+16.4 PPABOVE 80%

FORKS836112+724ABOVE 89%

SURPRISE0.000.01-0.01ABOVE 26%