Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #3421 · UNIT ID 1206036567
skyllwt/AutoSci
Karpathy's LLM-Wiki vision, fully realized — wiki-centric full-lifecycle AI research platform powered by Claude Code
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0583
ENGAGEMENT0.20
FRESHNESS1.35
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
83% 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
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
14.19
ACCEL
-0.08
RETENTION
15.3%
PEAK 2026-06-16 · FORK-RETENTION 0.0% · 1,277 STARS / WINDOW

Author Audience

AUDIENCE
203
FOLLOWERS
47
OWNER ★
1,563

Engagement Signals

FORKS
205
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,277 / 1,277 (DIVERSITY 1.00)

Why This Is A Finding

skyllwt/AutoSci собрал 1,277 звёзд за окно, тогда как у автора всего 47 подписчиков — эффективная аудитория ≈ 203. Это даёт surprise-индекс 0.0583 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 46%
VELOCITY14.193.99+10.19ABOVE 84%
RETENTION15.3%17.1%-1.9 PPABOVE 45%
FORKS20590+116ABOVE 71%
SURPRISE0.060.01+0.05ABOVE 96%