cfregly/ai-performance-engineering — GitHub trend

FINDING #4966 · 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

SURPRISE0.0053

ENGAGEMENT0.30

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

6.71

ACCEL

+0.54

RETENTION

54.2%

PEAK 2026-08-27 · FORK-RETENTION 0.0% · 47 STARS / WINDOW

Author Audience

AUDIENCE

1,228

FOLLOWERS

1,030

OWNER ★

1,977

Engagement Signals

FORKS

262

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 47 / 47 (DIVERSITY 1.00)

Why This Is A Finding

cfregly/ai-performance-engineering собрал 47 звёзд за окно, тогда как у автора всего 1,030 подписчиков — эффективная аудитория ≈ 1,228. Это даёт surprise-индекс 0.0053 (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 49% OF 9771 FINDINGS

#05MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #08zeenie-ai/OpenCompany[ PYTHON ]0.38 #15litaolemo/xtquant_big_convert[ PYTHON ]0.33 #23917Dhj/DeepPaperNote[ PYTHON ]0.27 #24LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.27

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 49%

VELOCITY6.713.71+3.00ABOVE 69%

RETENTION54.2%39.3%+14.8 PPABOVE 73%

FORKS26291+171ABOVE 75%

SURPRISE0.010.01-0.00ABOVE 36%