Github Trends®
9675 findingsmedian surprise 0.00741window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #1502 · 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

SURPRISE0.0138
ENGAGEMENT0.58
FRESHNESS1.64
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
9% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
38.83
ACCEL
-0.78
RETENTION
38.3%
PEAK 2026-09-21 · FORK-RETENTION 92.1% · 1,165 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 1,165 / 1,165 (DIVERSITY 1.00)

Why This Is A Finding

OpenByteInc/QuantDinger собрал 1,165 звёзд за окно, тогда как у автора всего 69 подписчиков — эффективная аудитория ≈ 2,776. Это даёт surprise-индекс 0.0138 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 92.1% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9675 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.01ABOVE 84%
VELOCITY38.833.80+35.03ABOVE 94%
RETENTION38.3%20.3%+18.0 PPABOVE 85%
FORKS2,740138+2,602ABOVE 96%
SURPRISE0.010.01+0.01ABOVE 63%