Github Trends®
1684 findingsmedian surprise 0.0111window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
FINDING #375 · UNIT ID 1124295269
OpenByteInc/QuantDinger
Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0128
ENGAGEMENT1.00
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
36.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-10-17 · FORK-RETENTION 0.0% · 36 STARS / WINDOW

Author Audience

AUDIENCE
2,776
FOLLOWERS
69
OWNER ★
13,192

Engagement Signals

FORKS
2,740
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 36 / 36 (DIVERSITY 1.00)

Why This Is A Finding

OpenByteInc/QuantDinger собрал 36 звёзд за окно, тогда как у автора всего 69 подписчиков — эффективная аудитория ≈ 2,776. Это даёт surprise-индекс 0.0128 (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 1684 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 78%
VELOCITY36.0010.00+26.00ABOVE 85%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS2,740297+2,444ABOVE 87%
SURPRISE0.010.01+0.00ABOVE 53%