FINDING #8936 · UNIT ID 1130050553
mni-ml/framework
A machine learning library with a TypeScript API and Rust backend. CUDA and WebGPU compatibility. Built to understand how ML frameworks and models work internally.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% 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
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING
Growth Telemetry
VELOCITY /D
1.57
ACCEL
-0.32
RETENTION
12.5%
PEAK 2026-08-25 · FORK-RETENTION 0.0% · 11 STARS / WINDOW
Author Audience
AUDIENCE
326
FOLLOWERS
58
OWNER ★
1,048
Engagement Signals
FORKS
130
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 11 / 11 (DIVERSITY 1.00)
Why This Is A Finding
mni-ml/framework собрал 11 звёзд за окно, тогда как у автора всего 58 подписчиков — эффективная аудитория ≈ 326. Это даёт surprise-индекс 0.0043 (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.
Related Findings
RANKS ABOVE 9% OF 9771 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 9%
VELOCITY1.573.71-2.14ABOVE 7%
RETENTION12.5%39.3%-26.8 PPABOVE 17%
FORKS13091+39ABOVE 59%
SURPRISE0.000.01-0.00ABOVE 32%