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6892 findingsmedian surprise 0.0109window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: gharchive
FINDING #1165 · 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

SURPRISE0.0281
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
6.29
ACCEL
-1.57
RETENTION
35.7%
PEAK 2026-07-09 · FORK-RETENTION 0.0% · 44 STARS / WINDOW

Author Audience

AUDIENCE
184
FOLLOWERS
19
OWNER ★
729

Engagement Signals

FORKS
126
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 44 / 44 (DIVERSITY 1.00)

Why This Is A Finding

ASCIT31/Dark-Moon собрал 44 звёзд за окно, тогда как у автора всего 19 подписчиков — эффективная аудитория ≈ 184. Это даёт surprise-индекс 0.0281 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 83%
VELOCITY6.294.14+2.14ABOVE 63%
RETENTION35.7%40.6%-4.9 PPABOVE 42%
FORKS12689+37ABOVE 59%
SURPRISE0.030.01+0.02ABOVE 76%