Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #5418 · UNIT ID 966386486
google-ai-edge/LiteRT-LM
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
[ C++ ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00124
ENGAGEMENT0.20
FRESHNESS1.32
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
88% 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

Growth Telemetry

VELOCITY /D
28.80
ACCEL
+0.06
RETENTION
6.7%
PEAK 2026-04-07 · FORK-RETENTION 0.0% · 5,184 STARS / WINDOW

Author Audience

AUDIENCE
23,128
FOLLOWERS
4,040
OWNER ★
75,242

Engagement Signals

FORKS
629
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 5,184 / 5,184 (DIVERSITY 1.00)

Why This Is A Finding

google-ai-edge/LiteRT-LM собрал 5,184 звёзд за окно, тогда как у автора всего 4,040 подписчиков — эффективная аудитория ≈ 23,128. Это даёт surprise-индекс 0.00124 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 9%
VELOCITY28.803.29+25.51ABOVE 95%
RETENTION6.7%11.3%-4.6 PPABOVE 32%
FORKS62999+530ABOVE 90%
SURPRISE0.000.01-0.01ABOVE 17%