Nate Herk | AI Automation YouTube channel thumbnail

Subscribers 568K

Videos 354

Views 25.3M

Channels Like Nate Herk | AI Automation

Nate Herk | AI Automation covers AI automation, workflows, and AI coding tutorials aimed at helping businesses save time and cut costs. The channel emphasizes practical guides, Claude Code tutorials, and agentic workflows, reflecting a tutorial and how-to style with deep-dives into AI tools. Content appears to favor tutorials and step-by-step builds, with recent videos focusing on Claude Code features, building $10,000 workflows, and AI-driven executive assistants, and uploads have a high-frequency cadence with an average of around 91K views per video across its library of 354 published videos.

Similar Channels

We found 49 YouTube channels similar to Nate Herk | AI Automation

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

85% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 30

SERP 100%

Similarity 75%

ai automation workflows build ai agents agentic workflows

Both target audiences interested in AI automation workflows and building AI agents, with high search overlap (100% for AI automation workflows, 75% for content), indicating similar topics though IBM’s content style diverges toward enterprise-scale, process automation and enterprise AI solutions.

#2

Jeff Su view on YouTube ▶

84% relevance

Subscribers 1.6M

Videos 294

Views 91.5M

Appearances 27

SERP 87%

Similarity 82%

ai automation workflows ai automation tutorials build ai agents

Highly overlapping on AI automation workflows and tutorials (search 87%, 82% on content), signaling a shared audience seeking practical guides to building AI agents and automations, with Jeff Su delivering tutorial-focused content similar in theme to Nate Herk.

#3

Liam Ottley

82% relevance

Subscribers 746K

Videos 242

Views 28.0M

Appearances 22

SERP 78%

Similarity 85%

ai automation workflows ai automation tutorials build ai agents

Strong similarity through AI automation workflows and tutorials (search 78%, 85% content), indicating overlapping topics and audiences, with Liam Ottley providing hands-on build guides similar to Nate Herk.

#4

Nick Saraev

76% relevance

Subscribers 312K

Videos 293

Views 11.9M

Appearances 25

SERP 57%

Similarity 88%

ai automation workflows ai automation tutorials Claude code tutorials

Overlaps on AI automation workflows and tutorials (search 57%, content 88%), suggesting a shared audience interested in AI automation and Claude-related tutorials, though Nick’s Claude focus differentiates the content mix.

#5

Futurepedia

72% relevance

Subscribers 667K

Videos 165

Views 37.7M

Appearances 14

SERP 59%

Similarity 81%

ai automation tutorials build ai agents Claude code tutorials

Shares emphasis on AI automation tutorials and building AI agents (search 59%, content 81%), indicating a common audience for how-to and tooling guidance, with Futurepedia’s catalog-style approach differing in format.

#6

Zubair Trabzada | AI Workshop

70% relevance

Subscribers 117K

Videos 251

Views 5.3M

Appearances 12

SERP 44%

Similarity 88%

ai automation workflows ai automation tutorials ai automation for business

Similar focus on AI automation workflows and tutorials (search 44%, content 88%), pointing to an audience seeking practical AI workflow guidance, with AI Workshop’s content leaning more into business applications.

Content Landscape

Top competitors by match: IBM Technology (85% match) and Jeff Su (84% match). Both align with overlapping queries such as ai automation workflows, build ai agents, and agentic workflows, signaling a focus on practical automation solutions and AI agent development. Nate Herk | AI Automation has substantially fewer subscribers (568K) compared to these competitors (IBM Technology and Jeff Su around 1.6M each), indicating a smaller audience base despite similar topic coverage. Liam Ottley (82% match) also overlaps on ai automation workflows and ai automation tutorials, reinforcing the same topic space. Shared queries include ai automation tutorials and build ai agents; Nick Saraev (76% match) adds Claude code tutorials, tying Claude Code content to the competitive landscape. Futurepedia (72% match) contributes to the same niche with ai automation tutorials and Claude code tutorials. Overall, competitors differ mainly in audience size but compete closely on tutorials for AI automation, agent-building, and Claude Code topics.

Video Highlights

Didn't Make the Cut

43 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	69%	Dan Martell ▶	84%	2.4M	47%	17
#8	63%	Tech With Tim ▶	83%	2.0M	31%	11
#9	60%	Mikey No Code	86%	109K	21%	6
#10	59%	Kevin Stratvert ▶	70%	4.2M	44%	14
#11	59%	AI Master ▶	83%	257K	23%	11
#12	57%	Germanaicreator	89%	2.9K	11%	1
#13	57%	ForrestKnight	75%	688K	30%	4
#14	57%	Grace Leung	88%	124K	11%	5
#15	57%	Ben AI	89%	131K	9%	3
#16	57%	Tina Huang ▶	81%	1.1M	20%	6
#17	56%	Zen van Riel	87%	29K	9%	2
#18	55%	The Coding Sloth ▶	81%	593K	18%	6
#19	55%	Roboverse	82%	100K	15%	4
#20	55%	freeCodeCamp.org ▶	76%	11.5M	23%	8
#21	55%	AI Engineer ▶	79%	375K	19%	7
#22	55%	Jason Wardrop	77%	335K	22%	7
#23	54%	The AI Advantage	77%	426K	20%	7
#24	54%	Blazing Zebra	82%	73.3K	12%	2
#25	53%	Dan Kieft ▶	80%	208K	12%	2
#26	53%	Matthew Berman	81%	580K	11%	1
#27	51%	Nick Saraev Daily Updates	77%	18.5K	11%	1
#28	51%	Alex Hormozi ▶	75%	4.0M	13%	3
#29	50%	Fireship ▶	76%	4.1M	13%	6
#30	50%	Eye on Tech ▶	75%	128K	13%	3
#31	50%	EO	77%	658K	10%	4
#32	50%	Mason Anderson	79%	3.6K	7%	1
#33	48%	Leapwork	75%	1.0K	8%	1
#34	48%	TED ▶	73%	27.2M	11%	3
#35	48%	Automation Helpers	74%	34K	8%	3
#36	47%	James Dooley	73%	1.4M	8%	1
#37	47%	Charlie Chang	74%	1.4M	7%	1
#38	47%	Be Productive	69%	56.6K	14%	2
#39	47%	Runway	72%	132K	8%	1
#40	47%	Vicky Zhao	73%	295K	7%	3
#41	46%	Automation Step by Step	68%	584K	14%	4
#42	46%	MIT Corporate Relations	70%	22K	10%	5
#43	46%	Eleken	70%	7.2K	8%	1
#44	45%	Gabe Bult ▶	70%	782K	7%	2
#45	45%	Mrwhosetheboss ▶	70%	22.3M	7%	1
#46	45%	Philip VanDusen	68%	309K	10%	4
#47	44%	Versus ▶	68%	521K	7%	2
#48	43%	Kavita Sharma \| Project & Program Leadership	65%	30.7K	11%	1
#49	43%	IBM Product Hub	66%	30.4K	8%	1

Search Queries Used

ai automation workflows ai automation tutorials build ai agents Claude code tutorials agentic workflows ai code assistant ai automation for business niche ai automation ai for executives ai tools comparison coding with ai help ai workflow optimization ai automation startup ai image tools comparison ai automation case study ai automation ideas automated workflow tools business AI assistants ai productivity hacks ai workflow templates ai coding assistant custom AI workflows ai project automation ai for small business enterprise AI workflows ai decision automation ai process automation ai automation strategies ai workflow best practices automation for executives workflow automation tools ai integration guide ai efficiency tips low code automation data-driven automation

Frequently Asked Questions

Which YouTube channels are most similar to Nate Herk | AI Automation?

IBM Technology — 85% match, 1.6M subscribers; Jeff Su — 84% match, 1.6M subscribers; Liam Ottley — 82% match, 746K subscribers. These channels share a focus on AI, automation, and technology tutorials, appealing to viewers interested in AI tools, code, and practical workflows.

What type of content does Nate Herk | AI Automation make?

Nate Herk | AI Automation creates tutorial and strategy content about AI tools and automation, as suggested by titles like How I’d Make Money with AI in 2026 (if I had to Start Over), I Made Claude Code Build 3 Games, Then It Beat Them All, Google’s New Tool Just 10x’d Claude Code, and How to Build $10,000 Agentic Workflows (Claude Code Tutorial). The channel averages around 91K views per video and uploads multiple videos weekly.

How do we determine which channels are similar to Nate Herk | AI Automation?

We analyze Nate Herk | AI Automation's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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