Github Trends®
9535 findingsmedian surprise 0.00464window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2993 · UNIT ID 1377047791
Yinsongxu/LLM2Jev
Turn local language models into Jev-style structured decision models. Get results from text and images with prefill alone—no token-by-token decoding required.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.82
ENGAGEMENT0.34
FRESHNESS1.01
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
63% 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
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
63.00
ACCEL
+41.50
RETENTION
0.0%
PEAK 2026-09-24 · FORK-RETENTION 0.0% · 189 STARS / WINDOW

Author Audience

AUDIENCE
37
FOLLOWERS
6
OWNER ★
309

Engagement Signals

FORKS
27
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 189 / 189 (DIVERSITY 1.00)

Why This Is A Finding

Yinsongxu/LLM2Jev собрал 189 звёзд за окно, тогда как у автора всего 6 подписчиков — эффективная аудитория ≈ 37. Это даёт surprise-индекс 0.82 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9535 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 69%
VELOCITY63.005.67+57.33ABOVE 96%
RETENTION0.0%44.1%-44.1 PPABOVE 0%
FORKS27324-297ABOVE 13%
SURPRISE0.820.00+0.81ABOVE 100%