PAPAYA 電腦教室 banner
PAPAYA 電腦教室 avatar
PAPAYA 電腦教室
@papayaclass
Subscribers1.7M
Views148.2M
Videos623
PAPAYA 電腦教室Published at February 18, 2026 at 08:56 PM6:00
別再被訂閱制優化軟體綁架了!完全開源零廣告 Mole 幫你揪出藏在深處的肥大檔案,讓 Mac 順得像剛買的一樣! thumbnail

別再被訂閱制優化軟體綁架了!完全開源零廣告 Mole 幫你揪出藏在深處的肥大檔案,讓 Mac 順得像剛買的一樣!

3 months agoLong-tail
教學MoleMac系統優化軟體mole mac
Published time
February 18, 2026 at 08:56 PM
Duration
6:00
Video type
Science & Technology
Channel region
Taiwan
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
No clear monetization tags yet
Focus on view growth, engagement quality, and topic competition to judge monetization potential.
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
51.9K
Likes
1.4K
Comments
43
Estimated Daily Revenue
-
Estimated Total Revenue
$34.24 - $199.76
RPM Range
$0.66 - $3.85
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
教學
Video Description
🔹 內容綱要 00:00 安裝 Homebrew 和 Mole 01:28 系統清理 02:08 移除軟體 02:46 系統優化 03:09 硬碟空間分析 03:59 系統即時監控 04:21 Raycast 功能整合 05:29 Mole 更新與移除 🔹 網站連結 Homebrew https://brew.sh/ Mole GitHub 專案頁面 https://github.com/tw93/Mole 🔹 請 Papaya 喝咖啡 ☕️ https://buymeacoffee.com/papayaclass 🔹 頻道會員影片目錄 https://bit.ly/3PaC4Jj #教學 #Mole #Mac #系統優化 #硬碟清理 #GitHub
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 教學
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.