Github Trends®
4978 findingsmedian surprise 0.00481window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #837 · UNIT ID 1092279475
AIPentest/CyberStrikeAI
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0142
ENGAGEMENT0.81
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
23.67
ACCEL
-2.00
RETENTION
51.5%
PEAK 2026-10-16 · FORK-RETENTION 7.4% · 71 STARS / WINDOW

Author Audience

AUDIENCE
1,627
FOLLOWERS
26
OWNER ★
7,873

Engagement Signals

FORKS
1,613
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 71 / 71 (DIVERSITY 1.00)

Why This Is A Finding

AIPentest/CyberStrikeAI собрал 71 звёзд за окно, тогда как у автора всего 26 подписчиков — эффективная аудитория ≈ 1,627. Это даёт surprise-индекс 0.0142 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 7.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 83%
VELOCITY23.675.33+18.33ABOVE 87%
RETENTION51.5%0.0%+51.5 PPABOVE 77%
FORKS1,613346+1,267ABOVE 76%
SURPRISE0.010.00+0.01ABOVE 68%