Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4826 · UNIT ID 1198070097
FluxVLA/FluxVLA
An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0177
ENGAGEMENT0.20
FRESHNESS1.35
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
57% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1b · REPO PREDATES ITS OWNER ACCOUNT (TRANSFERRED / RE-CREATED)
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
3.38
ACCEL
-0.04
RETENTION
16.9%
PEAK 2026-04-20 · FORK-RETENTION 0.0% · 304 STARS / WINDOW

Author Audience

AUDIENCE
151
FOLLOWERS
18
OWNER ★
579

Engagement Signals

FORKS
56
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 304 / 304 (DIVERSITY 1.00)

Why This Is A Finding

FluxVLA/FluxVLA собрал 304 звёзд за окно, тогда как у автора всего 18 подписчиков — эффективная аудитория ≈ 151. Это даёт surprise-индекс 0.0177 (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 24%
VELOCITY3.383.99-0.62ABOVE 44%
RETENTION16.9%17.1%-0.3 PPABOVE 49%
FORKS5690-33ABOVE 36%
SURPRISE0.020.01+0.01ABOVE 61%