Github Trends®
9721 findingsmedian surprise 0.00633window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #105 · UNIT ID 1321688525
MarcosSete/awesome-free-ai-course-notes
A curated collection of machine learning and AI lecture notes from the world's leading universities. This repository gives you access to the same lecture notes used by students at top institutions such as MIT, helping you learn from the very best educational resources available.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.16
ENGAGEMENT0.83
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
36% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
30.43
ACCEL
-3.75
RETENTION
32.0%
PEAK 2026-08-05 · FORK-RETENTION 82.4% · 213 STARS / WINDOW

Author Audience

AUDIENCE
152
FOLLOWERS
41
OWNER ★
1,109

Engagement Signals

FORKS
50
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 213 / 213 (DIVERSITY 1.00)

Why This Is A Finding

MarcosSete/awesome-free-ai-course-notes собрал 213 звёзд за окно, тогда как у автора всего 41 подписчиков — эффективная аудитория ≈ 152. Это даёт surprise-индекс 0.16 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 82.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9721 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.140.00+0.14ABOVE 99%
VELOCITY30.433.43+27.00ABOVE 93%
RETENTION32.0%32.1%-0.2 PPABOVE 50%
FORKS50130-80ABOVE 29%
SURPRISE0.160.01+0.15ABOVE 98%