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The walking fish 步行魚

The walking fish 步行魚

@the_walking_fish
Est. 2014·Taiwan·Chinese·~0.7 vids/wk
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The walking fish 步行魚 is a Tech YouTube creator with 27.3K subscribers and 3.3M total views. The channel covers ai tools, technology tutorials, free software, web applications, open source projects. Active for 11 years, the channel publishes about 3 videos per month. Videos average 7.3K views each. Based in Taiwan, the channel's primary language is Chinese. YouTube channels with 10K–50K sub channels typically charge between $200 and $3,000 per sponsored video. Book a sponsorship directly on TrySpansa.

27,300Subscribers
459Total Videos
3,336,809Total Views
Source: YouTube Data API

Audience Insights for The walking fish 步行魚

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Views / Video284K
Impressions1.2M
Age Demographics
13-17
8%
18-24
35%
25-34
28%
35-44
16%
45-54
8%
55-64
3%
65+
2%
Gender Split
Male 62%Female 36%Other 2%
Core: Male 18-24
Top Countries
🇺🇸United States
28%
🇬🇧United Kingdom
18%
🇧🇷Brazil
12%
🇮🇳India
9%
🇩🇪Germany
7%
Traffic Sources
Search
34%
Suggested
24%
External
14%
Browse
12%
Content Performance
128KAvg Views
4.2%CTR
+1.2KNet Subs
3:42Watch Time
Subscriber Growth
6 mo agoToday
Device Split
Desktop
48%
Mobile
34%
Tablet
11%
TV
7%
Watch Time
8:42Avg Duration
42%Retention
2.1MHours
6.8Views/Visit
Content Type
Long-form
55%
Shorts
28%
Live
12%
Members
5%
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Niches

Tech

About

本頻道更新速度大約是一星期一部片 內容主要為分享手機、電腦上 我覺得有趣或實用的網站或技術 讓大家需要解決問題時 可以在我這得到解決辦法 成為一個最好用的工具人(? (目前因為本人在公營事業擔任工程師,所以僅接受純合作的邀約,不接業配、工商)

Recent Videos

為了跑 AI,我花 10 萬買了這台「發光鐵盒」... 實測結果太驚人了!✨
Gemma 4 實測翻車?!多模態與工具調用悲劇,但「這點」卻意外碾壓對手!
插入排序 (Insertion Sort) 解釋動畫 1分鐘秒懂!#程式設計 #演算法
選擇排序 (Selection Sort) 解釋動畫 1分鐘秒懂!#程式設計 #演算法
氣泡排序法 (Bubble Sort) 解釋動畫 1分鐘秒懂!#程式設計 #演算法
做給自己用的記帳 App,一不小心功能加太多,只好直接開源了...
Gemini 3.1 Pro 震撼發布!邏輯能力翻倍 生成精細動態 SVG 動畫|網頁美感大升級 實際應用效果全公開!【AI實測】
Google AI Pro 變相降價?每月送 10 美金雲端額度,Gemini API、VM 都能用!

Channel data updated May 2026

youtube.com/@the_walking_fish
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YouTube Data API: 27,300 subscribers
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Meta Ads (SaaS)$8.75
Mesha 2025
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Estimated Clicks
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Using Tech benchmark: 3.6% (Electronics & Appliances) · Skailama 2026
Using Tech benchmark: 1.6× /year · Beans 2021 freq × Bluecore/MobiLoud RPR
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Methodology & sourcesNot sourced from YouTube
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