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보안프로젝트[boanproject]
@boanproject
2.0K
Video Count3.7M
Video View31.2K
Subscriber#6,914
South Korea Rank#186,810
Global RankGeneral and Science & Technology ranking performance
General
Global
South Korea
Science & Technology
Global
South Korea
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
OpenClaw 패치 업데이트 필요 AI 음악 .. 쉬는 날이라 심심해서..
1.7K
Views
10
Likes
2
Comments
Opportunity for growth
보안동향 - 협력사 해킹 사례, Qilin 랜섬웨어 그룹 설명 포함
0
Views
0
Likes
0
Comments
Analysis of 40 long-form videos
몰트봇(OpenClaw) 사용할 때 보안 이슈
• Long videos make up 80% of total content
• Average performance: Lower than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 4 main categories
Key performance indicators and trends
Technology dominates with 79% of content
Hip Hop Music has highest avg views
Knowledge shows strongest growth
Most used tags across 270 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #보안Top 1 | 33 | 242 | 4.13% | -7% | 41/100 |
| #해킹Top 2 | 32 | 237 | 4.22% | -27% | 42/100 |
| #보안프로젝트Top 3 | 30 | 284 | 2.82% | -46% | 28/100 |
| #인프런 | 25 | 241 | 2.90% | -36% | 29/100 |
| #버그헌팅 | 25 | 241 | 4.15% | -42% | 42/100 |
| #침해사고 | 18 | 172 | 4.65% | -30% | 47/100 |
| #모의해킹 | 18 | 216 | 4.63% | +0% | 46/100 |
| #취약점분석 | 17 | 229 | 3.49% | -32% | 35/100 |
| #침해대응 | 16 | 177 | 4.52% | -33% | 45/100 |
| #보안관제 | 14 | 143 | 4.90% | -14% | 49/100 |
| #it보안 | 12 | 176 | 5.68% | -20% | 57/100 |
| #자동화업무 | 8 | 335 | 3.58% | -11% | 36/100 |
| #ai에이전트 | 8 | 460 | 3.26% | -43% | 33/100 |
| #openclaw | 8 | 668 | 2.40% | -63% | 24/100 |
| #ai자동화 | 6 | 313 | 3.51% | -3% | 35/100 |
Strategic recommendations and performance highlights
Top 5 by view count
Top 5 by like count
Top 5 by comment count
Top 5 by engagement rate
Peak performance metrics across all categories
Top performers across multiple categories
Performance analysis and recommendations