NVIDIA-AI-Blueprints/cuFOLIO — GitHub trend

FINDING #930 · 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

SURPRISE0.000649

ENGAGEMENT0.20

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.71

ACCEL

+1.54

RETENTION

70.0%

PEAK 2026-07-13 · FORK-RETENTION 0.0% · 19 STARS / WINDOW

Author Audience

AUDIENCE

4,141

FOLLOWERS

1,362

OWNER ★

7,086

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 19 / 19 (DIVERSITY 1.00)

Why This Is A Finding

NVIDIA-AI-Blueprints/cuFOLIO собрал 19 звёзд за окно, тогда как у автора всего 1,362 подписчиков — эффективная аудитория ≈ 4,141. Это даёт surprise-индекс 0.000649 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 17% OF 1120 FINDINGS

#857Mjrovai/EdgeML-with-Raspberry-Pi[ JUPYTER NOTEBOOK ]0.000569 #1041datawhalechina/quant-for-beginners[ JUPYTER NOTEBOOK ]<0.000001 #05AlephAITech/WorkBuddyGuide[ PYTHON ]0.51 #15Mesh-LLM/mesh-llm[ RUST ]0.31 #16synthetic-sciences/openscience[ TYPESCRIPT ]0.31

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1120 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.01-0.01ABOVE 17%

VELOCITY2.7113.86-11.14ABOVE 8%

RETENTION70.0%36.8%+33.2 PPABOVE 89%

FORKS9050+40ABOVE 60%

SURPRISE0.000.04-0.04ABOVE 3%