Github Trends®
6024 findingsmedian surprise 0.00474window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
РЕПО НЕТ В ОКНЕ 7D. ПОКАЗАН FINDING ИЗ ОКНА 1D (1 day) — РАНГ #1736.
FINDING #1736 · UNIT ID 894433723
ASCIT31/Dark-Moon
Autonomous AI pentesting engine, continuous offensive security across web, cloud, AD & Kubernetes. Agentic reasoning + real exploit execution deliver proof-based vulnerabilities. Privacy gateway: the LLM never sees your real IPs, hosts, creds or paths (deterministic placeholders rehydrated locally), nothing leaves your perimeter.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0223
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
5.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-07-14 · FORK-RETENTION 0.0% · 5 STARS / WINDOW

Author Audience

AUDIENCE
184
FOLLOWERS
19
OWNER ★
729

Engagement Signals

FORKS
125
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 5 / 5 (DIVERSITY 1.00)

Why This Is A Finding

ASCIT31/Dark-Moon собрал 5 звёзд за окно, тогда как у автора всего 19 подписчиков — эффективная аудитория ≈ 184. Это даёт surprise-индекс 0.0223 (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 6024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 71%
VELOCITY5.009.00-4.00ABOVE 0%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS125495-370ABOVE 25%
SURPRISE0.020.00+0.02ABOVE 75%