Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4692 · 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

SURPRISE0.0202
ENGAGEMENT0.20
FRESHNESS1.32
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
95% 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

Growth Telemetry

VELOCITY /D
15.57
ACCEL
+0.09
RETENTION
6.5%
PEAK 2026-05-27 · FORK-RETENTION 0.0% · 1,401 STARS / WINDOW

Author Audience

AUDIENCE
729
FOLLOWERS
187
OWNER ★
1,777

Engagement Signals

FORKS
242
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,401 / 1,401 (DIVERSITY 1.00)

Why This Is A Finding

ai-infra-curriculum/ai-infra-engineer-learning собрал 1,401 звёзд за окно, тогда как у автора всего 187 подписчиков — эффективная аудитория ≈ 729. Это даёт surprise-индекс 0.0202 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 26%
VELOCITY15.573.99+11.57ABOVE 86%
RETENTION6.5%17.1%-10.7 PPABOVE 18%
FORKS24290+153ABOVE 75%
SURPRISE0.020.01+0.01ABOVE 65%