Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #5251 · UNIT ID 1397906178
GanyuanRan/Autoloom
AI coding with Aegis governance built into execution: baseline-aware changes, evidence-backed delivery. Free desktop client, your choice of model. 将哲科思维融入 AI 开发执行,让变更有依据、交付有证据。用创意编织现实。
[ JAVASCRIPT ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.34
ENGAGEMENT0.12
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
72% 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
103.43
ACCEL
+30.29
RETENTION
0.0%
PEAK 2026-10-16 · FORK-RETENTION 12.5% · 724 STARS / WINDOW

Author Audience

AUDIENCE
263
FOLLOWERS
27
OWNER ★
2,363

Engagement Signals

FORKS
20
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 724 / 724 (DIVERSITY 1.00)

Why This Is A Finding

GanyuanRan/Autoloom собрал 724 звёзд за окно, тогда как у автора всего 27 подписчиков — эффективная аудитория ≈ 263. Это даёт surprise-индекс 0.34 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 12.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 46%
VELOCITY103.433.14+100.29ABOVE 98%
RETENTION0.0%16.7%-16.7 PPABOVE 0%
FORKS20277-257ABOVE 12%
SURPRISE0.340.00+0.34ABOVE 100%