Github Trends®
9661 findingsmedian surprise 0.00727window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #6429 · UNIT ID 1375071860
usamahz/cpu-performance-engineering
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.16
ENGAGEMENT0.31
FRESHNESS1.45
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
86% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
33.30
ACCEL
-1.34
RETENTION
13.8%
PEAK 2026-10-02 · FORK-RETENTION 65.2% · 999 STARS / WINDOW

Author Audience

AUDIENCE
167
FOLLOWERS
46
OWNER ★
1,214

Engagement Signals

FORKS
91
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 999 / 999 (DIVERSITY 1.00)

Why This Is A Finding

usamahz/cpu-performance-engineering собрал 999 звёзд за окно, тогда как у автора всего 46 подписчиков — эффективная аудитория ≈ 167. Это даёт surprise-индекс 0.16 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 65.2% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9661 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 33%
VELOCITY33.303.87+29.43ABOVE 93%
RETENTION13.8%22.1%-8.3 PPABOVE 31%
FORKS91141-50ABOVE 40%
SURPRISE0.160.01+0.15ABOVE 99%