Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #4784 · UNIT ID 1077842506
SimonZeng7108/efficientsam3
EfficientSAM3 compresses SAM3 into lightweight, edge-friendly models via progressive knowledge distillation for fast promptable concept segmentation and tracking.
[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00891
ENGAGEMENT0.20
FRESHNESS1.35
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
54% 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
1.88
ACCEL
-0.01
RETENTION
15.8%
PEAK 2026-03-03 · FORK-RETENTION 0.0% · 339 STARS / WINDOW

Author Audience

AUDIENCE
171
FOLLOWERS
95
OWNER ★
763

Engagement Signals

FORKS
49
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 339 / 339 (DIVERSITY 1.00)

Why This Is A Finding

SimonZeng7108/efficientsam3 собрал 339 звёзд за окно, тогда как у автора всего 95 подписчиков — эффективная аудитория ≈ 171. Это даёт surprise-индекс 0.00891 (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 20%
VELOCITY1.883.29-1.41ABOVE 17%
RETENTION15.8%11.3%+4.5 PPABOVE 63%
FORKS4999-50ABOVE 27%
SURPRISE0.010.01-0.00ABOVE 46%