Nick Saraev

Subscribers 312K

Videos 293

Views 11.9M

Channels Like Nick Saraev

Nick Saraev focuses on making money with AI tools and automations, covering no-code and low-code AI workflows, AI business ideas, and tutorials for building AI-driven services. Content style appears as long-form courses and tutorials (e.g., full n8n, Claude Code, and Agentic workflows) with a strong emphasis on practical steps to start or scale AI businesses, plus topics like freelancing and entrepreneurship. The channel publishes multiple in-depth videos (several hours of course content) and averages high view counts per video, with recent uploads indicating frequent activity since joining in 2020 and an overall interest around 200k views per video on average.

AI summary

Similar Channels

We found 48 YouTube channels similar to Nick Saraev

#1

Dan Martell view on YouTube ▶

88% relevance

Subscribers 2.4M

Videos 2.9K

Views 283.0M

Appearances 20

SERP 100%

Similarity 80%

build ai business ai tools course automatic business revenue

Both target AI business builders and revenue-focused tooling, with high search overlap on queries like 'build ai business' and 'automatic business revenue' (search 100%, content 80%), indicating similar audience but differing content emphasis.

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#2

Jeff Su view on YouTube ▶

82% relevance

Subscribers 1.6M

Videos 294

Views 91.5M

Appearances 11

SERP 85%

Similarity 80%

ai agents course ai tools course ai workflow builder

Shares a strong focus on AI workflows and courses (queries 'ai agents course', 'ai tools course'), aligned search interest (85%) and solid content similarity (80%), implying a comparable audience with instructional style differences.

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#3

Liam Ottley view on YouTube ▶

73% relevance

Subscribers 746K

Videos 242

Views 28.0M

Appearances 19

SERP 62%

Similarity 81%

ai automation course ai agents course no code automation

Targets AI automation and no-code automation with overlapping queries ('ai automation course', 'no code automation'), but his audience engagement diverges in content emphasis (high content similarity 81% vs mid search 62%), showing a shared niche yet distinct delivery.

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Nate Herk | AI Automation YouTube channel thumbnail

#4

Nate Herk | AI Automation view on YouTube ▶

70% relevance

Subscribers 568K

Videos 354

Views 25.3M

Appearances 17

SERP 43%

Similarity 88%

ai automation course n8n tutorials ai agents course

Converges on AI automation and agents education (queries 'ai automation course', 'ai agents course') with strong content similarity (88%), yet lower search presence (43%), indicating a similar audience but smaller discoverability.

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IBM Technology YouTube channel thumbnail

#5

IBM Technology view on YouTube ▶

66% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 15

SERP 54%

Similarity 75%

no code automation cli ai programming low code ai workflows

Aligns on no-code/low-code AI workflows and automation, echoing Nick's audience interests (queries 'no code automation', 'low code ai workflows') with moderate search overlap (54%) and solid content similarity (75%), suggesting a shared practitioner-focused audience but more enterprise branding.

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freeCodeCamp.org YouTube channel thumbnail

#6

freeCodeCamp.org view on YouTube ▶

66% relevance

Subscribers 11.5M

Videos 2.1K

Views 954.1M

Appearances 16

SERP 44%

Similarity 81%

ai automation course n8n tutorials workflow automation

Shares a focus on AI automation and workflow tools (queries 'ai automation course', 'n8n tutorials') with high content similarity (81%), but lower search footprint (44%), indicating a similar instructional audience alongside broader programming educational scope.

AI summary

Content Landscape

Discovered competitors include Dan Martell (88% match) and Jeff Su (82% match) as top rivals, both pursuing overlapping queries such as build ai business, ai tools course, and ai workflow/automation topics. Liam Ottley (73% match) and Nate Herk | AI Automation (70% match) also share similar focus areas like ai automation courses and no-code automation, broadening the competitive landscape. IBM Technology (66% match) appears as a larger-brand option with overlapping queries around no-code automation and low-code AI workflows. Nick Saraev has 312K subscribers, which is smaller than Dan Martell (2.4M) and Jeff Su (1.6M), and compared to these competitors, the channel sits in a mid-range size while targeting similar search intents and course-centric content around AI automation and business ideas.

AI summary

Video Highlights

Didn't Make the Cut

42 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	64%	Kevin Stratvert ▶	70%	4.2M	57%	11
#8	61%	Mason Anderson	78%	3.6K	36%	4
#9	61%	AI Master ▶	80%	257K	33%	10
#10	61%	Zubair Trabzada \| AI Workshop ▶	87%	117K	22%	7
#11	61%	KJ Rainey ▶	88%	38.1K	20%	5
#12	59%	Futurepedia ▶	80%	667K	29%	9
#13	59%	Y Combinator ▶	81%	2.2M	25%	7
#14	58%	Mikey No Code ▶	82%	109K	22%	7
#15	58%	Tina Huang ▶	78%	1.1M	27%	8
#16	57%	Simplilearn ▶	75%	6.1M	30%	7
#17	57%	Michele Torti ▶	89%	46K	10%	3
#18	57%	Silicon Valley Girl ▶	76%	1.5M	28%	9
#19	57%	ItsKeaton ▶	76%	72.6K	27%	7
#20	56%	Eye on Tech ▶	73%	128K	29%	7
#21	55%	Jono Catliff ▶	83%	125K	12%	6
#22	54%	Greg Isenberg ▶	85%	567K	9%	4
#23	54%	AI Engineer ▶	80%	375K	15%	5
#24	54%	Metics Media ▶	75%	607K	22%	4
#25	53%	n8n	81%	240K	13%	3
#26	53%	NetworkChuck ▶	82%	5.2M	10%	2
#27	52%	The iScale	80%	332K	10%	3
#28	52%	Mastra	79%	11.1K	12%	2
#29	52%	Fireship ▶	73%	4.1M	21%	6
#30	51%	theMITmonk ▶	78%	752K	11%	5
#31	51%	Dave Ebbelaar ▶	78%	246K	11%	2
#32	51%	Jason Wardrop ▶	77%	335K	11%	5
#33	50%	Marina Wyss - AI & Machine Learning	75%	128K	12%	2
#34	50%	The AI Advantage ▶	75%	426K	12%	4
#35	50%	Charlie Chang ▶	73%	1.4M	14%	2
#36	49%	Codex Community	74%	212K	12%	1
#37	49%	🔥 TOP Digital Products 🔥	74%	31.3K	12%	1
#38	49%	ForrestKnight ▶	73%	688K	13%	3
#39	48%	moe.capital	72%	2.6K	12%	1
#40	47%	CodeHead ▶	71%	69.8K	12%	3
#41	47%	Jesse Showalter ▶	72%	444K	10%	1
#42	46%	IBM	71%	372K	10%	1
#43	46%	Business Solution ▶	71%	23.9K	10%	3
#44	46%	Tom Nassr \| XRAY	70%	19.3K	9%	3
#45	45%	Synopsys	68%	32.6K	10%	1
#46	44%	Whalesync	66%	3.2K	12%	1
#47	44%	RealPars ▶	67%	1.2M	10%	1
#48	43%	Haas Automation, Inc. ▶	66%	371K	9%	2

Search Queries Used

ai automation course n8n tutorials workflow automation ai agents course build ai business no code automation ai tools course make automation guide zapier alternatives integromat course cli ai programming low code ai workflows automatic business revenue ai workflow builder ai coding course ai automation tips no code automation tips ai workflow ideas business automation strategies ai business ideas automation for startups low code business tools visual workflow design ai integration guides workflow automation tutorials automation tooling basics ai powered workflows process automation basics automation for entrepreneurs data automation workflows ai assistant workflows no code automation platforms ai project templates workflow automation case studies ai coding for business

Frequently Asked Questions

Which YouTube channels are most similar to Nick Saraev?

Dan Martell — 88% match, 2.4M subscribers; Jeff Su — 82% match, 1.6M subscribers; Liam Ottley — 73% match, 746K subscribers. They all create content around AI, automation, and online business, focusing on systems, workflows, and scaling with software tools.

What type of content does Nick Saraev make?

Nick Saraev makes long-form, course-style content about AI, automation, and freelancing for online income, as seen in titles like CLAUDE CODE FULL COURSE, VIBE CODING FULL COURSE, AGENTIC WORKFLOWS COURSE, N8N FULL COURSE, and N8N ULTIMATE COURSE. He uploads multiple long videos (6-8 hours) with topics on AI platforms, automation workflows, and making money online, and averages about 205.7K views per video.

How do we determine which channels are similar to Nick Saraev?

We analyze Nick Saraev'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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