Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #4665 · 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

SURPRISE0.0106
ENGAGEMENT0.20
FRESHNESS1.33
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
100% 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
8.19
ACCEL
+0.14
RETENTION
6.5%
PEAK 2026-05-27 · FORK-RETENTION 0.0% · 1,474 STARS / WINDOW

Author Audience

AUDIENCE
729
FOLLOWERS
187
OWNER ★
1,777

Engagement Signals

FORKS
242
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,474 / 1,474 (DIVERSITY 1.00)

Why This Is A Finding

ai-infra-curriculum/ai-infra-engineer-learning собрал 1,474 звёзд за окно, тогда как у автора всего 187 подписчиков — эффективная аудитория ≈ 729. Это даёт surprise-индекс 0.0106 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 22%
VELOCITY8.193.29+4.89ABOVE 78%
RETENTION6.5%11.3%-4.9 PPABOVE 30%
FORKS24299+143ABOVE 74%
SURPRISE0.010.01+0.00ABOVE 51%