cfregly/ai-performance-engineering — GitHub trend

FINDING #3841 · UNIT ID 970097176

cfregly/ai-performance-engineering

Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00553

ENGAGEMENT0.28

FRESHNESS1.00

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

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

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

7.00

ACCEL

-0.50

RETENTION

33.3%

PEAK 2026-08-27 · FORK-RETENTION 0.0% · 21 STARS / WINDOW

Author Audience

AUDIENCE

1,226

FOLLOWERS

1,029

OWNER ★

1,976

Engagement Signals

FORKS

262

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 21 / 21 (DIVERSITY 1.00)

Why This Is A Finding

cfregly/ai-performance-engineering собрал 21 звёзд за окно, тогда как у автора всего 1,029 подписчиков — эффективная аудитория ≈ 1,226. Это даёт surprise-индекс 0.00553 (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 60% OF 9558 FINDINGS

#03wang2122/sprix-sage-router[ PYTHON ]0.80 #04zeenie-ai/OpenCompany[ PYTHON ]0.78 #20HRuiCcc/music-geshizhuanhuan[ PYTHON ]0.41 #22MerZlin/dsh-pet-indesktop[ PYTHON ]0.39 #24handsomejustin/easy_tdx[ PYTHON ]0.38

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 60%

VELOCITY7.005.67+1.33ABOVE 58%

RETENTION33.3%42.9%-9.5 PPABOVE 41%

FORKS262333-71ABOVE 45%

SURPRISE0.010.00+0.00ABOVE 54%