google-gemma/cookbook — GitHub trend

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FINDING #5652 · UNIT ID 806336991

google-gemma/cookbook

A collection of guides and examples for the Gemma open models from Google.

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00127

ENGAGEMENT0.20

FRESHNESS1.36

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

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

3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

3.57

ACCEL

-0.14

RETENTION

32.1%

PEAK 2026-06-24 · FORK-RETENTION 0.0% · 107 STARS / WINDOW

Author Audience

AUDIENCE

2,778

FOLLOWERS

911

OWNER ★

4,779

Engagement Signals

FORKS

640

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 107 / 107 (DIVERSITY 1.00)

Why This Is A Finding

google-gemma/cookbook собрал 107 звёзд за окно, тогда как у автора всего 911 подписчиков — эффективная аудитория ≈ 2,778. Это даёт surprise-индекс 0.00127 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 33% OF 8395 FINDINGS

#187adrida/tracer[ JUPYTER NOTEBOOK ]0.0589 #866baijiuyang/collision-avoidance2[ JUPYTER NOTEBOOK ]0.0141 #1183leoncuhk/awesome-quant-ai[ JUPYTER NOTEBOOK ]0.0113 #1605CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.00867 #1658lyogavin/airllm[ JUPYTER NOTEBOOK ]0.0084

METRICS IN CONTEXT

MEDIAN ACROSS ALL 8395 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 33%

VELOCITY3.573.83-0.27ABOVE 47%

RETENTION32.1%24.7%+7.4 PPABOVE 65%

FORKS640109+531ABOVE 87%

SURPRISE0.000.01-0.01ABOVE 17%