Github Trends®
9760 findingsmedian surprise 0.0099window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #2180 · 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

SURPRISE0.0145
ENGAGEMENT0.67
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.43
ACCEL
-0.14
RETENTION
50.0%
PEAK 2026-08-25 · FORK-RETENTION 80.0% · 17 STARS / WINDOW

Author Audience

AUDIENCE
128
FOLLOWERS
8
OWNER ★
560

Engagement Signals

FORKS
70
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 17 / 17 (DIVERSITY 1.00)

Why This Is A Finding

flashrt-project/FlashRT собрал 17 звёзд за окно, тогда как у автора всего 8 подписчиков — эффективная аудитория ≈ 128. Это даёт surprise-индекс 0.0145 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 80.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 78%
VELOCITY2.433.71-1.29ABOVE 32%
RETENTION50.0%38.0%+12.0 PPABOVE 65%
FORKS7086-16ABOVE 45%
SURPRISE0.010.01+0.00ABOVE 60%