Github Trends®
9675 findingsmedian surprise 0.00741window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #2143 · UNIT ID 1079089186
kaifcodec/user-scanner
🕵️‍♂️ (2-in-1) Email & Username OSINT suite featuring native MCP support for deep data extraction just from a single Email/Username. Analyzes 2720+ actively maintained scan vectors (210+ email / 2510+ username) for security research, investigations, and digital footprinting.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0139
ENGAGEMENT0.37
FRESHNESS1.52
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
9% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
17.10
ACCEL
-0.68
RETENTION
21.9%
PEAK 2026-09-20 · FORK-RETENTION 76.8% · 513 STARS / WINDOW

Author Audience

AUDIENCE
1,186
FOLLOWERS
501
OWNER ★
6,850

Engagement Signals

FORKS
550
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 513 / 513 (DIVERSITY 1.00)

Why This Is A Finding

kaifcodec/user-scanner собрал 513 звёзд за окно, тогда как у автора всего 501 подписчиков — эффективная аудитория ≈ 1,186. Это даёт surprise-индекс 0.0139 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 76.8% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9675 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 78%
VELOCITY17.103.80+13.30ABOVE 87%
RETENTION21.9%20.3%+1.6 PPABOVE 53%
FORKS550138+412ABOVE 80%
SURPRISE0.010.01+0.01ABOVE 64%