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Derek Cheung | AI Agents Automation
CHANNEL INTELLIGENCE

Derek Cheung | AI Agents Automation YouTube channel analysis

Derek Cheung | AI Agents Automation is a YouTube channel with 446.0K subscribers and 8.1M total views, and an estimated $975 – $3K/mo revenue. This analysis breaks down its outlier videos, content strategy, similar channels, revenue & valuation estimate.

Analysis generated with AI from public YouTube data. Revenue and valuation figures are estimates derived from public data, not financial advice.

01

Derek Cheung | AI Agents Automation Channel Overview

lifetime totals
Subscribers446.0K
Total views8.1M
Videos95
Avg views / video85.2K
Views / day · life5.5K
Views / subscriber18
Share of views by format
Long-form 100%Shorts 0%
02

Derek Cheung | AI Agents Automation Outlier Videos

breakouts ≥1.5× recent median
03

Derek Cheung | AI Agents Automation Top Videos

biggest ever

This channel is a highly lucrative, technical blueprint for capturing the developer and enterprise AI automation boom. By focusing on hands-on, highly actionable tutorials for building autonomous AI agents (specifically using n8n, OpenClaw, and Supabase), it bypasses generic AI hype to deliver immense value to high-intent builders, resulting in exceptionally strong median views and a highly engaged, technical audience.

04

Derek Cheung | AI Agents Automation Niche & Positioning

AI Agent Engineering & Workflow Automation

A highly technical, tutorial-first channel focused on building, deploying, and scaling autonomous AI agents and automated pipelines using open-source tools and low-code platforms.

05

Derek Cheung | AI Agents Automation Content Strategy

Evergreen 70%Trendjacking 30%Other 0%

Deep, step-by-step technical tutorials on building robust automation pipelines combined with rapid-response guides on newly released open-source models and developer frameworks.

06

Derek Cheung | AI Agents Automation Outlier Playbook

the repeatable breakout formula
Formula

Breakouts come from shipping a concrete, production-ready AI-agent capability on top of a hot named platform, especially OpenClaw/Hermes/n8n/MCP, using a very specific stack. The strongest pattern is: take an agent framework people are already curious about, add the missing “real product” layer, and show the build end-to-end. Examples: turning OpenClaw into OpenClaw Cloud with Magic Patterns + Lovable + Railway; giving OpenClaw permanent memory with Supabase; building OpenClaw on a free open-source AI hub; using DeepSeek V4 Pro + Hermes Agent to generate n8n workflows via chat; fixing CI for AI coding agents with Depot; running AI agent simulations that mirror the real world. The hook is not

Title pattern

Use one of these repeatable hooks: “I Built [hot agent product/capability] in [surprisingly short time] ([exact stack])”; “How to [add critical missing capability] to [hot agent platform] with [tool]”; “[Tool/Model] + [Agent Platform]: Build [specific automation] via [new interface]”; or “Build [hot

  1. 1Pick a rising agent ecosystem already proven on the channel: OpenClaw, Hermes Agent, n8n, or MCP. Do not make a generic “AI automation” video; anchor it in the named platform the audience is searching
  2. 2Add one production-grade superpower that makes the agent feel like a real app or business system: permanent memory with Supabase, cloud deployment with Lovable/Railway, CI for coding agents with Depot
  3. 3Package the video as a build/guide with a visible finished artifact: OpenClaw Cloud, a memory-enabled OpenClaw assistant, a working n8n workflow created by Hermes + DeepSeek, a CI pipeline for AI codi
  4. 4Title it with the exact stack plus an outcome/time hook: “I Built OpenClaw Cloud in 3 Hours (Magic Patterns + Lovable + Railway)” or “How to Give OpenClaw Permanent Memory with Supabase.” Avoid vague
  5. 5Time uploads around new tool/model momentum and combine two buzzworthy names when possible: DeepSeek V4 Pro + Hermes Agent, OpenClaw + Supabase, Claude/n8n/MCP, Lovable + Railway, or Depot CI for AI c
07

Derek Cheung | AI Agents Automation Performance Drivers

01
OpenClaw Framework Deployments — Videos featuring OpenClaw consistently generate the highest view counts, as developers seek practical guides on deploying this trending open-source AI agent hub.
02
n8n Integration & Workflow Building — n8n serves as the channel's core automation engine, capturing high-intent search traffic from users looking to build complex, multi-agent pipelines without writing heavy boilerplate code.
03
Time-Bound Challenge Hooks — Titles emphasizing rapid development (e.g., 'in 3 Hours', 'in 8 Minutes', 'in an Afternoon') lower the perceived barrier to entry and drive high click-through rates.
04
Model Context Protocol (MCP) Tutorials — Explaining how to connect LLMs to local tools via MCP taps directly into a highly active developer niche looking for cutting-edge agent communication standards.
05
Trending Open-Source Model Pairings — Combining popular open-source models like DeepSeek V4 and Hermes Agent with practical tools offers viewers cheaper, highly capable alternatives to proprietary APIs.
08

Derek Cheung | AI Agents Automation Topic Clusters

n8n Core Automation & Workflows45No-Code SaaS & App Development (Lovable, Replit, Supabase)12AI Voice, Audio & Avatar Agents12Financial & Stock Analysis Automations10OpenClaw & Supabase Infrastructure8Hermes Agent & DeepSeek Implementations8
09

Derek Cheung | AI Agents Automation Growth Opportunities

untapped whitespace
  • Launch a dedicated 'AI Agent SaaS' build series focused on monetization, showing viewers how to turn these automated workflows into actual monthly recurring revenue.
  • Create comparative benchmark videos pitting different agent frameworks against each other (e.g., CrewAI vs. LangChain vs. n8n vs. OpenClaw) to capture high-intent search traffic from developers choosing their stack.
  • Develop a 'Local AI' series focusing on running agents completely offline using Ollama, Llama.cpp, and local databases to appeal to privacy-focused enterprise developers.
  • Introduce 'Enterprise Security & Compliance' tutorials detailing how to secure n8n workflows, manage API keys safely, and handle sensitive data in production environments.
10

How Replicable Is Derek Cheung | AI Agents Automation

ReplicabilityMedium

While the technical workflows and tutorial formats are highly structured and systematic, replicating this channel successfully requires deep, up-to-date software engineering expertise in AI APIs, n8n, databases, and emerging developer tools.

11

Derek Cheung | AI Agents Automation Content Risks

  • Heavy reliance on third-party APIs and open-source repositories (like OpenClaw or Hermes) which can deprecate, break, or lose community support overnight, rendering older tutorials obsolete.
  • Platform and tool fatigue, where viewers lose interest if the channel becomes overly repetitive with n8n-centric tutorials or fails to pivot to the next major automation standard.
  • Rapidly shifting AI landscape requiring constant, high-effort research and development to stay ahead of new model releases and framework updates.
12

Who Watches Derek Cheung | AI Agents Automation

estimated audience

Estimated from public channel data — titles, descriptions, metadata and co-watched channels. Not YouTube Analytics. high confidence

The audience consists of tech-savvy builders, software engineers, indie hackers, and automation consultants. They watch this channel to learn how to leverage low-code tools (primarily n8n) and cutting-edge AI agent frameworks to build applications, automate complex business workflows, and launch SaaS products rapidly without writing extensive boilerplate code.

Age
25-34 45%
35-44 30%
18-24 15%
45-54 10%
Gender
88% male12% female

Highly male-skewed, typical of DevOps, backend engineering, and automation niche

Geography
United States 46%
India 18%
Canada 14%
United Kingdom 12%
Germany 10%

Concentrated in English-speaking tech hubs and countries with strong developer/indie-hacker communities.

Income & education
IncomeMedium to High (primarily software developers, IT professionals, and tech entrepreneurs)
EducationHighly educated, typically holding university degrees in STEM fields or possessing advanced self-taught technical profic
13

What Derek Cheung | AI Agents Automation's Audience Cares About

Interests
Workflow automationAI agent orchestrationIndie hacking and SaaS developmentOpen-source software self-hostingAPI integrations and backend infrastructure
Values
Efficiency and leverage through automationContinuous learning in rapid AI cyclesOpen-source accessibilityPractical, hands-on building over theoretical hype
Pain points
  • Keeping up with the overwhelming pace of new AI tools and APIs
  • The high cost and complexity of traditional software development
  • Fragile API integrations and manual data entry bottlenecks
  • Configuring complex local environments and database connections
Motivations
  • To build and launch functional SaaS products rapidly with minimal code
  • To automate business processes to save time and reduce overhead
  • To master cutting-edge AI developer tools like MCP and multi-agent frameworks
Lifestyle

Tech-centric, highly digital, often working remotely, building side projects, or optimizing business operations with software.

What this audience wants next
  • Advanced n8n workflow automation templates and custom integrations
  • Building and deploying autonomous multi-agent systems using Hermes and OpenClaw
  • How to launch a SaaS MVP in a weekend using Lovable, Supabase, and Stripe
  • Implementing Model Context Protocol (MCP) for local AI agent tool use
  • Automating lead generation and data enrichment pipelines with Claude and DeepSeek

Prefers Long-form (10-20 minutes) to accommodate detailed screen-sha videos, practical, educational, builder-focused, and encouraging without excessive hype..

Inferred from: Heavy focus on technical n8n, Supabase, and Model Context Protocol (MCP) tutorials · Co-watch audience includes software engineering channels (freeCodeCamp, JavaScript Mastery) and tech entrepreneurs (Greg Isenberg) · Tutorial-first long-form content detailing step-by-step SaaS and agent builds

14

Channels Similar to Derek Cheung | AI Agents Automation

channels with similar audiencesCompetitor Studio →

The audience is highly concentrated around software development, AI agents, and automation, with minor spillover into general productivity and background relaxation content.

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15

Derek Cheung | AI Agents Automation Revenue & Valuation

from public data
Est. revenue
$975 – $3K
per month · incl. sponsorship
Ad revenue
$750 – $1K
per month
Est. valuation
$13K – $66K
benchmarked vs comparables

Based on your current cash flows, your business is valued between $12,869 and $65,599, supported by a solid floor of $9,899 and a high confidence rating. While this valuation reflects your current setup, successfully executing key operational levers offers the illustrative potential to significantly increase your enterprise value, though this is a potential outcome rather than a guaranteed result.

Estimates derived from public data (earnings history + comparable channels). Not an offer, appraisal, or financial advice.

Frequently asked questions about Derek Cheung | AI Agents Automation

How many subscribers does Derek Cheung | AI Agents Automation have?
Derek Cheung | AI Agents Automation has 446.0K subscribers on YouTube, built up over roughly 4 years on the platform. Its videos average about 85.2K views each.
How many views does Derek Cheung | AI Agents Automation have?
Derek Cheung | AI Agents Automation has accumulated 8.1M total views across 95 uploads, averaging roughly 5.5K views per day since launch.
How many videos has Derek Cheung | AI Agents Automation posted?
Derek Cheung | AI Agents Automation has published 95 videos on YouTube, with recent uploads averaging about 11:47 in length.
How engaged is Derek Cheung | AI Agents Automation's audience?
Over its lifetime, Derek Cheung | AI Agents Automation has averaged about 18 views for every subscriber, a sign of how far its videos travel beyond the core subscriber base. On a per-video basis it draws roughly 85.2K views.
How much money does Derek Cheung | AI Agents Automation make?
Derek Cheung | AI Agents Automation's estimated YouTube revenue is $975 – $3K per month, including advertising and sponsorships (ad revenue alone is an estimated $750 – $1K per month). These are estimates derived from public data, not exact earnings.
What is Derek Cheung | AI Agents Automation's channel worth?
Derek Cheung | AI Agents Automation's YouTube channel is estimated to be worth $13K – $66K, benchmarked against comparable channels. This reflects the value of the channel as a media asset, not the creator's total net worth.
What is Derek Cheung | AI Agents Automation's most popular video?
Derek Cheung | AI Agents Automation's most-viewed video is "I Built OpenClaw Cloud in 3 Hours (Magic Patterns + Lovable + Railway)", with 376.0K views — roughly 6.1× the channel's typical video.
What is Derek Cheung | AI Agents Automation's biggest recent breakout video?
Derek Cheung | AI Agents Automation's biggest recent breakout is "I Built OpenClaw Cloud in 3 Hours (Magic Patterns + Lovable + Railway)", which pulled 376.0K views — about 6.1× the channel's recent median.
What kind of content does Derek Cheung | AI Agents Automation make?
Derek Cheung | AI Agents Automation is best described as AI Agent Engineering & Workflow Automation. A highly technical, tutorial-first channel focused on building, deploying, and scaling autonomous AI agents and automated pipelines using open-source tools and low-code platforms.
Does Derek Cheung | AI Agents Automation post Shorts or long-form videos?
Derek Cheung | AI Agents Automation publishes primarily long-form videos (about 100% of recent uploads), averaging around 11:47 in length.
What topics does Derek Cheung | AI Agents Automation cover?
Derek Cheung | AI Agents Automation's catalogue spans n8n Core Automation & Workflows, No-Code SaaS & App Development (Lovable, Replit, Supabase), AI Voice, Audio & Avatar Agents, Financial & Stock Analysis Automations, OpenClaw & Supabase Infrastructure and Hermes Agent & DeepSeek Implementations. These recurring themes make up the bulk of the channel's uploads.
Who watches Derek Cheung | AI Agents Automation?
Derek Cheung | AI Agents Automation's audience skews 25-34, highly male-skewed, typical of devops, backend engineering, and automation niche and based concentrated in english-speaking tech hubs and countries with strong developer/indie-hacker communities.. The audience consists of tech-savvy builders, software engineers, indie hackers, and automation consultants. They watch this channel to learn how to leverage low-code tools (primarily n8n) and cutting-edge AI agent frameworks to build applications, automate complex business workflows, and launch SaaS products rapidly without writing extensive boilerplate code. These are estimates inferred from public channel data, not YouTube Analytics.
What is Derek Cheung | AI Agents Automation's audience interested in?
Viewers of Derek Cheung | AI Agents Automation tend to be interested in Workflow automation, AI agent orchestration, Indie hacking and SaaS development, Open-source software self-hosting and API integrations and backend infrastructure. Estimated from the channel's content and the channels its viewers co-watch.
What channels are similar to Derek Cheung | AI Agents Automation?
Channels with audiences similar to Derek Cheung | AI Agents Automation include Nate Herk | AI Automation, Sharbel A., Metics Media, Tina Huang and JavaScript Mastery. The audience is highly concentrated around software development, AI agents, and automation, with minor spillover into general productivity and background relaxation content.
How often does Derek Cheung | AI Agents Automation post?
Derek Cheung | AI Agents Automation uploads about 0.6 videos per week (roughly 2.4 per month).
Is Derek Cheung | AI Agents Automation still active on YouTube?
Yes — Derek Cheung | AI Agents Automation is actively posting. Its most recent upload was 3 days ago.
How long has Derek Cheung | AI Agents Automation been on YouTube?
Derek Cheung | AI Agents Automation has been active on YouTube for about 4 years, growing to 446.0K subscribers over that time.
How this analysis was made
  • Source: public YouTube channel & video data (88 recent videos sampled).
  • Outlier videos: uploads with ≥1.5× the channel's recent median views.
  • Revenue & valuation: estimated from public earnings signals and comparable channels — ranges, not exact figures.
  • Last updated: 9/3/2026.
Published 9/3/2026 · analysis by OutlierKit
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