Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #1096 · 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

SURPRISE0.0132
ENGAGEMENT1.00
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
37.14
ACCEL
-3.32
RETENTION
58.0%
PEAK 2026-10-11 · FORK-RETENTION 91.8% · 260 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 260 / 260 (DIVERSITY 1.00)

Why This Is A Finding

OpenByteInc/QuantDinger собрал 260 звёзд за окно, тогда как у автора всего 69 подписчиков — эффективная аудитория ≈ 2,776. Это даёт surprise-индекс 0.0132 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 91.8% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 89%
VELOCITY37.143.14+34.00ABOVE 95%
RETENTION58.0%16.7%+41.4 PPABOVE 89%
FORKS2,740277+2,463ABOVE 88%
SURPRISE0.010.00+0.01ABOVE 73%