wafer-ai/gpu-perf-engineering-resources — GitHub trend

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FINDING #6474 · UNIT ID 1132444278

wafer-ai/gpu-perf-engineering-resources

A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0626

ENGAGEMENT0.35

FRESHNESS1.01

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

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

8% OF STARS IN ARCHIVE

[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:

S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS

S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D

36.33

ACCEL

+52.50

RETENTION

0.0%

PEAK 2026-08-22 · FORK-RETENTION 0.0% · 109 STARS / WINDOW

Author Audience

AUDIENCE

540

FOLLOWERS

126

OWNER ★

1,465

Engagement Signals

FORKS

177

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 109 / 109 (DIVERSITY 1.00)

Why This Is A Finding

wafer-ai/gpu-perf-engineering-resources собрал 109 звёзд за окно, тогда как у автора всего 126 подписчиков — эффективная аудитория ≈ 540. Это даёт surprise-индекс 0.0626 (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 29% OF 9125 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 9125 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 29%

VELOCITY36.335.33+31.00ABOVE 92%

RETENTION0.0%20.6%-20.6 PPABOVE 0%

FORKS177343-166ABOVE 37%

SURPRISE0.060.00+0.06ABOVE 90%