Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #389 · 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

SURPRISE0.0515
ENGAGEMENT0.20
FRESHNESS1.31
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
47% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
11.53
ACCEL
+0.06
RETENTION
7.1%
PEAK 2026-06-30 · FORK-RETENTION 0.0% · 346 STARS / WINDOW

Author Audience

AUDIENCE
184
FOLLOWERS
19
OWNER ★
729

Engagement Signals

FORKS
126
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 346 / 346 (DIVERSITY 1.00)

Why This Is A Finding

ASCIT31/Dark-Moon собрал 346 звёзд за окно, тогда как у автора всего 19 подписчиков — эффективная аудитория ≈ 184. Это даёт surprise-индекс 0.0515 (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 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.02ABOVE 94%
VELOCITY11.534.23+7.30ABOVE 77%
RETENTION7.1%29.4%-22.3 PPABOVE 9%
FORKS12692+34ABOVE 58%
SURPRISE0.050.01+0.04ABOVE 88%