Github Trends®
5118 findingsmedian surprise 0.00434window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1620 · UNIT ID 998732712
StarTrail-org/LEANN
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00606
ENGAGEMENT0.49
FRESHNESS1.01
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
31.33
ACCEL
+47.00
RETENTION
0.0%
PEAK 2026-10-28 · FORK-RETENTION 0.0% · 94 STARS / WINDOW

Author Audience

AUDIENCE
5,129
FOLLOWERS
134
OWNER ★
24,464

Engagement Signals

FORKS
1,260
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 94 / 94 (DIVERSITY 1.00)

Why This Is A Finding

StarTrail-org/LEANN собрал 94 звёзд за окно, тогда как у автора всего 134 подписчиков — эффективная аудитория ≈ 5,129. Это даёт surprise-индекс 0.00606 (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 5118 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 68%
VELOCITY31.335.33+26.00ABOVE 90%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS1,260422+838ABOVE 69%
SURPRISE0.010.00+0.00ABOVE 55%