Github Trends®
9158 findingsmedian surprise 0.00459window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2229 · UNIT ID 1267145484
magnitudedev/magnitude
Open source inference engine for agents that optimizes itself for your exact hardware. Compiles and tunes its kernels on your device, so open models run up to 2x faster than llama.cpp. Works on Apple Silicon, NVIDIA, AMD, or just a CPU.
[ RUST ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.013
ENGAGEMENT0.35
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
31.67
ACCEL
-15.50
RETENTION
39.6%
PEAK 2026-10-06 · FORK-RETENTION 44.4% · 95 STARS / WINDOW

Author Audience

AUDIENCE
2,387
FOLLOWERS
125
OWNER ★
10,695

Engagement Signals

FORKS
445
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 95 / 95 (DIVERSITY 1.00)

Why This Is A Finding

magnitudedev/magnitude собрал 95 звёзд за окно, тогда как у автора всего 125 подписчиков — эффективная аудитория ≈ 2,387. Это даёт surprise-индекс 0.013 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 44.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9158 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 76%
VELOCITY31.675.67+26.00ABOVE 91%
RETENTION39.6%35.7%+3.9 PPABOVE 52%
FORKS445324+121ABOVE 56%
SURPRISE0.010.00+0.01ABOVE 67%