cfregly/ai-performance-engineering — GitHub trend

FINDING #5445 · 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

SURPRISE0.00474

ENGAGEMENT0.28

FRESHNESS1.00

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

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

2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

6.00

ACCEL

+0.50

RETENTION

33.3%

PEAK 2026-08-27 · FORK-RETENTION 0.0% · 42 STARS / WINDOW

Author Audience

AUDIENCE

1,227

FOLLOWERS

1,029

OWNER ★

1,976

Engagement Signals

FORKS

262

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 42 / 42 (DIVERSITY 1.00)

Why This Is A Finding

cfregly/ai-performance-engineering собрал 42 звёзд за окно, тогда как у автора всего 1,029 подписчиков — эффективная аудитория ≈ 1,227. Это даёт surprise-индекс 0.00474 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 44% OF 9760 FINDINGS

#08MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #17litaolemo/xtquant_big_convert[ PYTHON ]0.36 #20LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.34 #24zeenie-ai/OpenCompany[ PYTHON ]0.30 #25917Dhj/DeepPaperNote[ PYTHON ]0.29

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 44%

VELOCITY6.003.71+2.29ABOVE 65%

RETENTION33.3%38.0%-4.7 PPABOVE 42%

FORKS26286+176ABOVE 76%

SURPRISE0.000.01-0.01ABOVE 32%