Mayank Aggarwal

Subscribers 75.5K

Videos 189

Views 3.6M

Channels Like Mayank Aggarwal

Mayank Aggarwal covers AI-related topics with tutorials and deep-dives, focusing on AI workflows, automations, tool comparisons, and project ideas for 2027. The content style skews toward instructional videos and explainers (e.g., masterclasses, step-by-step guides, and security/vulnerability discussions), with occasional trend analyses and benchmark-style comparisons. The channel has 189 videos published since Feb 24, 2024, and averages around 58.8K views per video, suggesting a steady but niche audience within AI and automation topics.

AI summary

Similar Channels

We found 50 YouTube channels similar to Mayank Aggarwal

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube

89% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 38

SERP 100%

Similarity 81%

build ai agents ai benchmarks ai security vulnerability

Both target AI and engineering audiences with high overlap on queries like build ai agents and ai security vulnerability, sharing a strong search match (100%) and substantial content alignment (81%) that positions IBM Technology similarly to Mayank Aggarwal in technical AI topics.

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freeCodeCamp.org YouTube channel thumbnail

#2

freeCodeCamp.org view on YouTube

79% relevance

Subscribers 11.5M

Videos 2.1K

Views 954.1M

Appearances 15

SERP 75%

Similarity 82%

build ai agents data structures algorithms course dsa interview prep

Both attract learners around AI and data/algorithm topics, with shared interest in build ai agents and dsa interview prep; they have strong search overlap (75%) and solid content similarity (82%), indicating a comparable instructional focus to Mayank Aggarwal.

AI summary

#3

Dan Martell view on YouTube

70% relevance

Subscribers 2.4M

Videos 2.9K

Views 283.0M

Appearances 9

SERP 46%

Similarity 85%

build ai agents ai tool comparisons job-ready ai skills

Both cover AI tools and practical skills for practitioners, with high content similarity (85%) on AI tool comparisons and job-ready AI skills, and notable search overlap (46%), aligning Dan Martell with Mayank Aggarwal on applied AI topics.

AI summary

Nate Herk | AI Automation YouTube channel thumbnail

#4

Nate Herk | AI Automation view on YouTube

65% relevance

Subscribers 568K

Videos 354

Views 25.3M

Appearances 10

SERP 31%

Similarity 88%

ai automation workflows no-code ai automation ai tool comparisons

Both emphasize AI automation workflows and tool comparisons, showing strong alignment in content (88%) around automation topics and a solid search overlap (31%), making Nate Herk a close AI workflow-focused counterpart.

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#5

Liam Ottley view on YouTube

65% relevance

Subscribers 746K

Videos 242

Views 28.0M

Appearances 7

SERP 35%

Similarity 85%

ai automation workflows no-code ai automation build ai agents

Both focus on AI automation and building AI agents, with high content similarity (85%) on automation/workflows topics and a meaningful search overlap (35%), aligning Liam Ottley with Mayank Aggarwal in practical AI build guidance.

AI summary

#6

NeetCode view on YouTube

62% relevance

Subscribers 1.1M

Videos 414

Views 95.2M

Appearances 10

SERP 36%

Similarity 79%

dsa interview prep faang level problems data structures course tips

Both appeal to developers preparing for technical interviews and DS topics, evidenced by shared emphasis on data structures and interview prep (though Mayank’s AI focus differentiates the style), resulting in moderate search overlap (36%) and solid content alignment (79%).

AI summary

Content Landscape

Top competitors by match strength are IBM Technology (89% match) and freeCodeCamp.org (79% match). IBM Technology overlaps on build AI agents, AI benchmarks, and AI security vulnerability queries, while freeCodeCamp.org overlaps on build AI agents, data structures algorithms courses, and DS&A interview prep. Both have significantly larger audiences: IBM Technology with 1.6M subscribers and freeCodeCamp.org with 11.5M, compared to Mayank Aggarwal’s 75.5K. Dan Martell (70% match) also competes via topics like build AI agents and AI tool comparisons, though with 2.4M subscribers. The overlap in search queries includes ai automation workflows, no-code ai automation, and ai tool comparisons, indicating shared interest areas among channels targeting AI workflows and practical skill-building.

AI summary

Video Highlights

Didn't Make the Cut

44 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	62%	Nick Saraev	89%	312K	22%	8
#8	60%	James Blue	86%	30.4K	21%	4
#9	60%	Futurepedia	84%	667K	24%	5
#10	60%	AI Engineer	82%	375K	27%	6
#11	59%	Mikey No Code	83%	109K	22%	4
#12	58%	Grace Leung	86%	124K	16%	4
#13	58%	Tech With Tim	85%	2.0M	18%	8
#14	58%	Learn with Lukas	84%	141K	17%	5
#15	57%	AI Foundations	85%	334K	16%	3
#16	57%	codebasics	80%	1.5M	24%	7
#17	57%	Riley Brown	88%	239K	12%	1
#18	57%	AI Revolution	85%	536K	16%	2
#19	57%	Krish Naik	87%	1.4M	13%	4
#20	57%	Zubair Trabzada \| AI Workshop	87%	117K	13%	5
#21	57%	Sajjaad Khader	77%	272K	27%	4
#22	57%	AI Copium	82%	27.7K	20%	4
#23	57%	Jeff Su	86%	1.6M	14%	4
#24	56%	Sundas Khalid	86%	348K	9%	2
#25	55%	AI Master	83%	257K	14%	5
#26	55%	Engineering Digest	80%	268K	18%	2
#27	55%	Matt Wolfe	84%	913K	10%	4
#28	54%	Fireship	81%	4.1M	15%	5
#29	54%	CodeHead	77%	69.8K	20%	4
#30	54%	Programming with Mosh	82%	5.0M	12%	3
#31	54%	Jordan Welch	80%	2.0M	15%	4
#32	53%	Shade of Code	81%	36K	13%	2
#33	53%	Jonathan Richey \| AI Automation	82%	7.8K	9%	1
#34	53%	Harkirat Singh	80%	620K	11%	3
#35	52%	NeuralNine	80%	461K	10%	3
#36	52%	Agbaragu Jerry	78%	3.9K	14%	2
#37	52%	NGT Academy	78%	111K	13%	2
#38	51%	Obi Ogbanufe, PhD	79%	2.3K	10%	4
#39	51%	AI Coding Daily	78%	13.6K	12%	1
#40	51%	Kevin	76%	11.2K	14%	7
#41	50%	warikoo careers	76%	540K	12%	3
#42	50%	Stanford Online	76%	1.1M	11%	2
#43	50%	Jay Feng	77%	58.5K	9%	1
#44	49%	Symoné B. Tech	75%	122K	10%	3
#45	49%	Automation Testing with Joe Colantonio	75%	453K	9%	4
#46	48%	Not Knowing Podcast	72%	17.7K	13%	2
#47	48%	The Diary Of A CEO Clips	73%	2.3M	10%	3
#48	46%	POVBiz	70%	9.2K	12%	1
#49	45%	CBS News	68%	7.0M	12%	1
#50	43%	The Illustrator's Guide	65%	18.4K	10%	2

Search Queries Used

ai automation workflows no-code ai automation build ai agents ai project ideas 2027 ai updates 2027 ai benchmarks ai tool comparisons ai coding with Claude ai security vulnerability data structures algorithms course dsa interview prep remote ai jobs job-ready ai skills faang level problems ai career guide ai automation ideas no-code automation tools build ai assistants ai project ideas for start ai updates and trends ai benchmarking methods coding with ai assistants ai security best practices data structures course tips ds&a interview prep remote ai careers job ready ai skills faang interview prep ai career guidance ai use cases 2027 ai system design basics ai ethics and governance ai testing strategies ai deployment best practices

Frequently Asked Questions

Which YouTube channels are most similar to Mayank Aggarwal?

Mayank Aggarwal's biggest competitors on YouTube are IBM Technology (89% match, 1.6M subscribers), freeCodeCamp.org (79% match, 11.5M subscribers), and Dan Martell (70% match, 2.4M subscribers). They share a focus on technical topics like AI, programming, and tech tutorials, appealing to a similar audience interested in software development and AI advancements.

What type of content does Mayank Aggarwal make?

Mayank Aggarwal creates AI and automation-focused content, as indicated by video titles such as 'Complete n8n Masterclass: Build AI Agents & Automate Workflows' and '10+ Biggest AI Updates You Cannot Afford to Miss This Week!', suggesting tutorials, breakdowns, and industry updates. Upload frequency appears to be multiple videos per month, with an average views figure of 58.8K per video across his uploads.

How do we determine which channels are similar to Mayank Aggarwal?

We analyze Mayank Aggarwal'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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