Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #5159 · UNIT ID 1211024544
Mondo-Robotics/DiT4DiT
This is the official code repo for DiT4DiT, a Vision-Action-Model (VAM) framework that combines video generation model with flow-matching-based action prediction for generalizable robotic manipulation.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0125
ENGAGEMENT0.20
FRESHNESS1.33
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
71% 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
3.16
ACCEL
-0.06
RETENTION
10.3%
PEAK 2026-04-22 · FORK-RETENTION 0.0% · 284 STARS / WINDOW

Author Audience

AUDIENCE
213
FOLLOWERS
50
OWNER ★
566

Engagement Signals

FORKS
29
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 284 / 284 (DIVERSITY 1.00)

Why This Is A Finding

Mondo-Robotics/DiT4DiT собрал 284 звёзд за окно, тогда как у автора всего 50 подписчиков — эффективная аудитория ≈ 213. Это даёт surprise-индекс 0.0125 (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 19%
VELOCITY3.163.99-0.84ABOVE 40%
RETENTION10.3%17.1%-6.8 PPABOVE 31%
FORKS2990-60ABOVE 19%
SURPRISE0.010.01+0.00ABOVE 51%