Github Trends®
6633 findingsmedian surprise 0.00667window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
FINDING #3737 · 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

SURPRISE0.18
ENGAGEMENT0.35
FRESHNESS1.00
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
107.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-08-22 · FORK-RETENTION 0.0% · 107 STARS / WINDOW

Author Audience

AUDIENCE
540
FOLLOWERS
126
OWNER ★
1,465

Engagement Signals

FORKS
177
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 107 / 107 (DIVERSITY 1.00)

Why This Is A Finding

wafer-ai/gpu-perf-engineering-resources собрал 107 звёзд за окно, тогда как у автора всего 126 подписчиков — эффективная аудитория ≈ 540. Это даёт surprise-индекс 0.18 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6633 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 44%
VELOCITY107.0010.00+97.00ABOVE 96%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS177393-216ABOVE 35%
SURPRISE0.180.01+0.18ABOVE 95%