Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #9283 · UNIT ID 1083330204
ai-infra-curriculum/ai-infra-engineer-learning
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00156
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
1.71
ACCEL
-1.14
RETENTION
8.3%
PEAK 2026-10-11 · FORK-RETENTION 0.0% · 12 STARS / WINDOW

Author Audience

AUDIENCE
1,056
FOLLOWERS
305
OWNER ★
2,228

Engagement Signals

FORKS
311
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 12 / 12 (DIVERSITY 1.00)

Why This Is A Finding

ai-infra-curriculum/ai-infra-engineer-learning собрал 12 звёзд за окно, тогда как у автора всего 305 подписчиков — эффективная аудитория ≈ 1,056. Это даёт surprise-индекс 0.00156 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 4%
VELOCITY1.713.14-1.43ABOVE 14%
RETENTION8.3%16.7%-8.3 PPABOVE 31%
FORKS311277+34ABOVE 52%
SURPRISE0.000.00-0.00ABOVE 38%