Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #4347 · UNIT ID 1118583356
X-GenGroup/Flow-Factory
A unified framework for easy reinforcement learning in Flow-Matching models
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0148
ENGAGEMENT0.20
FRESHNESS1.32
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
95% 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
3.33
ACCEL
-0.01
RETENTION
5.0%
PEAK 2026-04-27 · FORK-RETENTION 0.0% · 599 STARS / WINDOW

Author Audience

AUDIENCE
185
FOLLOWERS
24
OWNER ★
683

Engagement Signals

FORKS
50
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 599 / 599 (DIVERSITY 1.00)

Why This Is A Finding

X-GenGroup/Flow-Factory собрал 599 звёзд за окно, тогда как у автора всего 24 подписчиков — эффективная аудитория ≈ 185. Это даёт surprise-индекс 0.0148 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 27%
VELOCITY3.333.29+0.03ABOVE 50%
RETENTION5.0%11.3%-6.3 PPABOVE 22%
FORKS5099-49ABOVE 28%
SURPRISE0.010.01+0.00ABOVE 62%