cfregly/ai-performance-engineering — GitHub trend

FINDING #5386 · 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

SURPRISE0.00331

ENGAGEMENT0.38

FRESHNESS1.28

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

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

7% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

4.20

ACCEL

+0.10

RETENTION

54.2%

PEAK 2026-08-27 · FORK-RETENTION 14.3% · 126 STARS / WINDOW

Author Audience

AUDIENCE

1,228

FOLLOWERS

1,030

OWNER ★

1,977

Engagement Signals

FORKS

262

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 126 / 126 (DIVERSITY 1.00)

Why This Is A Finding

cfregly/ai-performance-engineering собрал 126 звёзд за окно, тогда как у автора всего 1,030 подписчиков — эффективная аудитория ≈ 1,228. Это даёт surprise-индекс 0.00331 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 14.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 44% OF 9595 FINDINGS

#02guillaumemeyer/watermarks-remover[ PYTHON ]0.43 #09awesome-dsh-plugin/awesome-dsh-plugin[ PYTHON ]0.38 #10wang2122/sprix-sage-router[ PYTHON ]0.37 #16virgiliojr94/book-to-skill[ PYTHON ]0.31 #19ayghri/i-have-adhd[ PYTHON ]0.28

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 44%

VELOCITY4.203.67+0.53ABOVE 55%

RETENTION54.2%24.6%+29.5 PPABOVE 94%

FORKS262115+147ABOVE 70%

SURPRISE0.000.01-0.00ABOVE 29%