Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #1302 · UNIT ID 1223749848
flashrt-project/FlashRT
FlashRT is a high-performance realtime inference engine for small-batch, latency-sensitive AI workloads. The flagship integration is production VLA control for Pi0, Pi0.5, GROOT N1.6, and Pi0-FAST. Also support llm e.g, qwen3.6-27B
[ C++ ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0226
ENGAGEMENT0.20
FRESHNESS1.35
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
22% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.17
ACCEL
-0.06
RETENTION
23.9%
PEAK 2026-06-16 · FORK-RETENTION 0.0% · 95 STARS / WINDOW

Author Audience

AUDIENCE
100
FOLLOWERS
6
OWNER ★
441

Engagement Signals

FORKS
56
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 95 / 95 (DIVERSITY 1.00)

Why This Is A Finding

flashrt-project/FlashRT собрал 95 звёзд за окно, тогда как у автора всего 6 подписчиков — эффективная аудитория ≈ 100. Это даёт surprise-индекс 0.0226 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 79%
VELOCITY3.174.23-1.07ABOVE 38%
RETENTION23.9%29.4%-5.6 PPABOVE 39%
FORKS5692-36ABOVE 36%
SURPRISE0.020.01+0.01ABOVE 68%