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김한용의 MOCAR
@mocar_official
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Views1B
Videos3.5K
김한용의 MOCARPublished at June 2, 2026 at 07:00 AM33:24
페라리 루체 디자인 충격, 다음 희생자(?)는 오픈AI입니다! thumbnail

페라리 루체 디자인 충격, 다음 희생자(?)는 오픈AI입니다!

4 days agoPeak window
김한용mocar모카시승기자동차
Published time
June 2, 2026 at 07:00 AM
Duration
33:24
Video type
Science & Technology
Channel region
South Korea
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
High RPM
This video sits in a relatively high RPM range, suggesting a more monetization-friendly topic.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
46.4K
Likes
794
Comments
232
Estimated Daily Revenue
$1.39 - $8.08
Estimated Total Revenue
$33.39 - $194.76
RPM Range
$0.72 - $4.2
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
김한용
Video Description
채널에 가입하여 혜택을 누려보세요. https://www.youtube.com/channel/UCd5CdYxogKBwvv1xyuxhvZA/join * 본 영상은 차즘의 PPL이 포함돼 있습니다. --- 구독해주세요 : https://bit.ly/3sg17TA 김한용 [email protected]
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 김한용
Not enough related-topic video data yet.
Video FAQs

These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.

What can you learn from this video analytics page?

This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.

Why are RPM and revenue numbers estimates?

Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.

How should you use this page for content research?

Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.