Github Trends®
9779 findingsmedian surprise 0.00802window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #7334 · 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。
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.24
ENGAGEMENT0.11
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
81% 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
58.00
ACCEL
+17.79
RETENTION
0.0%
PEAK 2026-10-09 · FORK-RETENTION 0.0% · 406 STARS / WINDOW

Author Audience

AUDIENCE
204
FOLLOWERS
20
OWNER ★
1,838

Engagement Signals

FORKS
10
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 406 / 406 (DIVERSITY 1.00)

Why This Is A Finding

GanyuanRan/Autoloom собрал 406 звёзд за окно, тогда как у автора всего 20 подписчиков — эффективная аудитория ≈ 204. Это даёт surprise-индекс 0.24 (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 9779 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 25%
VELOCITY58.003.57+54.43ABOVE 96%
RETENTION0.0%40.0%-40.0 PPABOVE 0%
FORKS10108-98ABOVE 10%
SURPRISE0.240.01+0.23ABOVE 98%