Think in Models

Subscribers 23.8K

Videos 55

Views 938.8K

Channels Like Think in Models

Think in Models covers Artificial Intelligence, Machine Learning, LLMs, and how modern AI systems work, delivering tutorials and deep-dives from a practicing AI engineer with hands-on experience and a history of 300+ AI interviews. Content style includes in-depth system design discussions, career guidance, and interview-focused videos, with an average of about 9.9K views per video and irregular uploads since joining in Oct 2023.

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Similar Channels

We found 45 YouTube channels similar to Think in Models

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

87% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 35

SERP 100%

Similarity 78%

ai system design llm system design ai scalability design

Both target audiences interested in AI system design and scalability, with high search overlap on ai system design and llm system design (IBM: 100% search match; Think in Models: 87% overall match), though IBM's content focuses more on enterprise-scale architecture while Think in Models specializes in design principles.

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#2

PropTech Founder

63% relevance

Subscribers 2.9K

Videos 62

Views 137.8K

Appearances 10

SERP 34%

Similarity 82%

ai engineering interviews ai interview questions llm cost planning

Share interest in ai engineering concepts and interview prep (queries like ai engineering interviews), but PropTech Founder has a lower search alignment (34%) despite strong content similarity (82%), indicating audience overlap but a different topical emphasis and style than Think in Models.

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#3

ByteByteGo view on YouTube ▶

62% relevance

Subscribers 1.4M

Videos 163

Views 59.3M

Appearances 12

SERP 43%

Similarity 74%

ai system design llm system design ai scalability design

Direct overlap on ai system design and llm system design with high content similarity (74%), and strong search alignment (43%), making ByteByteGo a close counterpart that explains technical concepts with similar depth but broader software engineering focus.

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#4

Marina Wyss - AI & Machine Learning

53% relevance

Subscribers 128K

Videos 88

Views 3.8M

Appearances 7

SERP 15%

Similarity 78%

ai engineer career ai engineering fundamentals ai engineering roadmap

Both address AI engineering fundamentals and career-oriented planning, but Marina Wyss shows lower search overlap (15%) versus Think in Models, indicating audiences diverge more in discovery even though content topics align (78%).

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#5

Jean Lee view on YouTube ▶

53% relevance

Subscribers 102K

Videos 247

Views 6.1M

Appearances 10

SERP 18%

Similarity 77%

ai engineer career ai career truths ai engineering roadmap

Overlap centers on AI engineering career content and roadmap guidance (queries like ai engineer career, ai engineering roadmap) with moderate search alignment (18%) but solid content similarity (77%), suggesting similar topics delivered with a different audience path.

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#6

Aishwarya Srinivasan

53% relevance

Subscribers 156K

Videos 233

Views 5.9M

Appearances 4

SERP 13%

Similarity 79%

ai system design llm system design ai scalability design

Shares focus on ai system design and llm system design with high content similarity (79%) and decent search overlap (13%), indicating similar technical tutorials but a smaller audience discovery footprint.

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Content Landscape

Top competitors by match strength are IBM Technology (87% match) and ByteByteGo (62% match). IBM Technology overlaps on ai system design, llm system design, and ai scalability design, while ByteByteGo shares overlap on ai system design, llm system design, and ai scalability design. PropTech Founder (63% match) also overlaps on ai engineering interviews and ai interview questions. Think in Models has 23.8K subscribers; IBM Technology has 1.6M subscribers, ByteByteGo 1.4M subscribers, and PropTech Founder 2.9K subscribers, showing substantial size differences especially with the two largest competitors. The common queries across competitors include ai system design, llm system design, ai engineering interviews, and ai interview questions.

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Video Highlights

Didn't Make the Cut

39 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	52%	Fiddler AI	79%	1.8K	10%	2
#8	52%	The Cutting Edge School	76%	702K	15%	4
#9	51%	Trevor Spires	78%	21.7K	9%	2
#10	50%	Zen van Riel ▶	77%	29K	10%	2
#11	50%	Evidently AI	80%	2.5K	5%	3
#12	49%	Sajjaad Khader ▶	71%	272K	17%	5
#13	49%	Sean‘s AI Stories ▶	71%	11.5K	16%	5
#14	49%	Krish Naik	76%	1.4M	9%	4
#15	49%	CodeHead ▶	73%	69.8K	13%	4
#16	49%	Tech With Lucy	72%	268K	13%	3
#17	48%	CodeCraft Academy	75%	3.5K	7%	2
#18	48%	Matt Pocock ▶	76%	175K	6%	3
#19	48%	Reid Hoffman	76%	116K	5%	1
#20	47%	ByteMonk ▶	70%	337K	13%	5
#21	47%	Daniel	74%	5.4K	8%	2
#22	46%	WEKA	73%	3.3K	7%	2
#23	46%	Cloud Computing Insider	73%	341K	5%	1
#24	46%	Exponent ▶	72%	481K	7%	3
#25	46%	Google Cloud Tech	72%	1.4M	6%	4
#26	46%	Databricks	69%	154K	11%	7
#27	46%	Edge Impulse	70%	17.2K	9%	3
#28	45%	365 Data Science	71%	368K	7%	2
#29	45%	AWS Developers	71%	1.7M	6%	2
#30	45%	Arjay McCandless	72%	93.6K	5%	3
#31	45%	Hopsworks	71%	1.0K	6%	1
#32	45%	CareerVidz ▶	69%	5.2M	9%	2
#33	45%	ThePrimeagenHighlights	70%	54.8K	6%	1
#34	44%	InterSystems Developers	69%	5.2K	8%	1
#35	44%	NetworkChuck ▶	68%	5.2M	8%	1
#36	44%	Monte Carlo	69%	1.1K	6%	1
#37	44%	Dynatrace	67%	28.5K	9%	3
#38	44%	ACM SIGCOMM	69%	2.7K	6%	1
#39	44%	ARK Invest	68%	639K	8%	1
#40	44%	The Coding Gopher	68%	56.6K	7%	2
#41	43%	YouAccel	66%	2.7K	8%	4
#42	42%	Washington Post	67%	2.8M	5%	1
#43	42%	Ryan & Matt Data Science	66%	42.9K	6%	1
#44	42%	The Diary Of A CEO ▶	65%	15.1M	6%	3
#45	40%	PyCon US	62%	34.4K	6%	1

Search Queries Used

ai engineer career ai system design llm system design ai engineering interviews ai career truths ai interview questions ai scalability design concurrency in ai llm cost planning latency in ai systems networking for ai ai engineering fundamentals ai deployment considerations token economy ai ai engineering roadmap ai system architecture ml model deployment llm inference costs ai reliability patterns distributed AI systems ml model monitoring ai experiment tracking ai safety design real time AI latency ai data pipelines model bias mitigation edge ai deployment feature store design ai fault tolerance ml serving architectures ai cost optimization data drift detection ai observability basics ml model scaling concurrent processing ai

Frequently Asked Questions

Which YouTube channels are most similar to Think in Models?

Think in Models' biggest competitors on YouTube are IBM Technology (87% match, 1.6M subscribers), PropTech Founder (63% match, 2.9K subscribers), and ByteByteGo (62% match, 1.4M subscribers). They share a focus on technology and systems design topics, with content often centered around AI, engineering, and technical tutorials.

What type of content does Think in Models make?

Think in Models creates educational tech content focused on AI, system design, and engineering concepts, as indicated by video titles like How to Become an AI Engineer, LLM Cost & Capacity Planning, and AI System Design series. The channel averages about 9.9K views per video; recent videos range from 3.9K to 27.9K views, and it posts multiple episodes in a series related to AI system design.

How do we determine which channels are similar to Think in Models?

We analyze Think in Models'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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