Github Trends®
9158 findingsmedian surprise 0.00459window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #87 · 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

SURPRISE0.43
ENGAGEMENT0.55
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
23% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
86.00
ACCEL
-76.50
RETENTION
22.9%
PEAK 2026-10-06 · FORK-RETENTION 28.6% · 258 STARS / WINDOW

Author Audience

AUDIENCE
159
FOLLOWERS
44
OWNER ★
1,153

Engagement Signals

FORKS
84
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 258 / 258 (DIVERSITY 1.00)

Why This Is A Finding

usamahz/cpu-performance-engineering собрал 258 звёзд за окно, тогда как у автора всего 44 подписчиков — эффективная аудитория ≈ 159. Это даёт surprise-индекс 0.43 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 28.6% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9158 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.280.00+0.28ABOVE 99%
VELOCITY86.005.67+80.33ABOVE 97%
RETENTION22.9%35.7%-12.8 PPABOVE 42%
FORKS84324-240ABOVE 27%
SURPRISE0.430.00+0.43ABOVE 99%