Github Trends®
571 findingsmedian surprise 0.0209window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #540 · UNIT ID 1084384666
NVIDIA-AI-Blueprints/cuFOLIO
cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.
[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000513
ENGAGEMENT0.20
FRESHNESS1.32
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
88% 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
2.14
ACCEL
-0.00
RETENTION
5.8%
PEAK 2026-03-23 · FORK-RETENTION 0.0% · 386 STARS / WINDOW

Author Audience

AUDIENCE
4,141
FOLLOWERS
1,362
OWNER ★
7,086

Engagement Signals

FORKS
90
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 386 / 386 (DIVERSITY 1.00)

Why This Is A Finding

NVIDIA-AI-Blueprints/cuFOLIO собрал 386 звёзд за окно, тогда как у автора всего 1,362 подписчиков — эффективная аудитория ≈ 4,141. Это даёт surprise-индекс 0.000513 (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 571 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 5%
VELOCITY2.146.39-4.25ABOVE 14%
RETENTION5.8%17.7%-11.9 PPABOVE 18%
FORKS90135-45ABOVE 37%
SURPRISE0.000.02-0.02ABOVE 6%