Github Trends®
9757 findingsmedian surprise 0.0125window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #01 · UNIT ID 1375382253
NandhaKishorM/laya
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.88
ENGAGEMENT2.23
FRESHNESS1.30
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
97% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2589.14
ACCEL
+1192.32
RETENTION
75.0%
PEAK 2026-09-22 · FORK-RETENTION 31.7% · 18,124 STARS / WINDOW

Author Audience

AUDIENCE
2,909
FOLLOWERS
1,225
OWNER ★
21,835

Engagement Signals

FORKS
1,863
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 18,124 / 18,124 (DIVERSITY 1.00)

Why This Is A Finding

NandhaKishorM/laya собрал 18,124 звёзд за окно, тогда как у автора всего 1,225 подписчиков — эффективная аудитория ≈ 2,909. Это даёт surprise-индекс 0.88 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 31.7% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9757 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE2.000.00+2.00ABOVE 100%
VELOCITY2589.143.86+2585.29ABOVE 100%
RETENTION75.0%32.1%+43.0 PPABOVE 97%
FORKS1,86372+1,791ABOVE 97%
SURPRISE0.880.01+0.87ABOVE 100%