GokuMohandas/Made-With-ML — GitHub trend

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FINDING #1975 · UNIT ID 156157055

GokuMohandas/Made-With-ML

Learn how to develop, deploy and iterate on production-grade ML applications.

[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.000226

ENGAGEMENT0.44

FRESHNESS1.37

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

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

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.34

ACCEL

-0.04

RETENTION

12.9%

PEAK 2026-03-01 · FORK-RETENTION 69.4% · 421 STARS / WINDOW

Author Audience

AUDIENCE

10,295

FOLLOWERS

4,950

OWNER ★

53,445

Engagement Signals

FORKS

7,690

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 421 / 421 (DIVERSITY 1.00)

Why This Is A Finding

GokuMohandas/Made-With-ML собрал 421 звёзд за окно, тогда как у автора всего 4,950 подписчиков — эффективная аудитория ≈ 10,295. Это даёт surprise-индекс 0.000226 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 69.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 23% OF 2559 FINDINGS

#536duoan/TorchCode[ JUPYTER NOTEBOOK ]0.00335 #584CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.00302 #614GiovanniPasq/agentic-rag-for-dummies[ JUPYTER NOTEBOOK ]0.00285 #632Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.00278 #653lyogavin/airllm[ JUPYTER NOTEBOOK ]0.0027

METRICS IN CONTEXT

MEDIAN ACROSS ALL 2559 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 23%

VELOCITY2.342.88-0.54ABOVE 38%

RETENTION12.9%6.3%+6.6 PPABOVE 78%

FORKS7,6901,183+6,507ABOVE 88%

SURPRISE0.000.00-0.00ABOVE 27%