Sam Witteveen

Subscribers 122K

Videos 335

Views 10.2M

Channels Like Sam Witteveen

Sam Witteveen covers deep learning, LLMs, autonomous agents, and related AI topics, producing tutorials, reviews, and deep-dives on model architectures, local AI deployment, and multimodal systems. The channel emphasizes practical guidance, open-source tools, and implementation details, with a cadence of about 1.4 uploads per week and average video views around 19.2K.

Similar Channels

We found 45 YouTube channels similar to Sam Witteveen

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

89% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 74

SERP 100%

Similarity 81%

large language models foundation models autonomous agents

High search overlap (100% on shared queries like large language models and foundation models) but slightly lower content similarity (81%), placing it as a close audience match with broader enterprise AI focus.

#2

AI Engineer view on YouTube ▶

53% relevance

Subscribers 375K

Videos 613

Views 12.3M

Appearances 14

SERP 12%

Similarity 81%

multimodal agents ai inference optimization low latency ai

Similar audience for AI development with strong content focus on multimodal agents and low-latency AI, reflected by a 81% content match but low search overlap (12%), indicating topical similarity with distinct search queries.

#3

AI Search view on YouTube ▶

52% relevance

Subscribers 643K

Videos 427

Views 54.7M

Appearances 5

SERP 3%

Similarity 86%

open source ai models open source LLMs speech to text models

Shares interest in open source AI models and LLMs, evidenced by comparable content (86%) but very low search overlap (3%), suggesting a similar technical niche but different query behavior.

#4

Google Cloud Tech

52% relevance

Subscribers 1.4M

Videos 2K

Views 53.4M

Appearances 10

SERP 11%

Similarity 79%

large language models multimodal agents ai inference optimization

Overlaps with Sam on large language models and AI optimization, showing substantial content alignment (79%) but moderate search overlap (11%), indicating parallel topics with differing audience targeting.

#5

Daytona

51% relevance

Subscribers 1.6K

Videos 119

Views 97.4K

Appearances 1

SERP 2%

Similarity 83%

low latency ai

Both cover low latency AI with high content alignment (83%), yet Daytona has minimal search overlap (2%), implying similar tech focus but distinct search queries to reach their audiences.

#6

Caleb Writes Code

51% relevance

Subscribers 63K

Videos 76

Views 3.4M

Appearances 3

SERP 3%

Similarity 83%

foundation models ai inference optimization transformer models

Shares interest in foundation models and transformer models with strong content alignment (83%), though search overlap is low (3%), signaling a shared technical niche but different discoverability.

Content Landscape

Top competitors by match strength are IBM Technology (89% match) and AI Engineer (53% match). IBM Technology focuses on large language models, foundation models, and autonomous agents, aligning with Sam’s emphasis on LLMs and agents; AI Engineer concentrates on multimodal agents, AI inference optimization, and low-latency AI, overlapping with Sam’s topics via practical deployment and performance optimization. IBM Technology has 1.6M subscribers, AI Engineer has 375K subscribers, both larger than Sam Witteveen’s 122K. Competitors share queries such as large language models, autonomous agents, and open-source AI concepts, reflecting overlapping search intent in the AI deployment and tooling space.

Video Highlights

Didn't Make the Cut

39 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	50%	Jeff Su ▶	77%	1.6M	8%	6
#8	50%	Better Stack	80%	121K	3%	4
#9	49%	Hugging Face	80%	129K	3%	2
#10	49%	Tina Huang ▶	75%	1.1M	10%	7
#11	49%	3Blue1Brown ▶	70%	8.2M	17%	14
#12	49%	New Machina	79%	11.2K	5%	2
#13	49%	lustoykov	79%	4.3K	4%	1
#14	48%	codebasics	78%	1.5M	3%	6
#15	48%	Microsoft Developer	78%	670K	4%	3
#16	48%	AssemblyAI	78%	180K	4%	3
#17	48%	Yannic Kilcher	78%	320K	4%	4
#18	48%	Zen van Riel	78%	29K	3%	3
#19	48%	LangChain	77%	182K	4%	3
#20	48%	NVIDIA Developer	78%	202K	2%	4
#21	47%	Bug Labs	77%	6.2K	2%	1
#22	47%	Apple Developer	72%	267K	10%	15
#23	47%	Coding with Lewis	77%	735K	2%	1
#24	47%	Acadaimy	75%	13.9K	5%	2
#25	46%	Matt Williams	73%	94.5K	7%	4
#26	46%	Stanford Online	71%	1.1M	10%	12
#27	46%	NextGen AI Explorer	75%	1.0K	4%	3
#28	46%	Samuel Albanie	75%	22K	3%	1
#29	46%	Efficient NLP	72%	19.9K	7%	8
#30	46%	Bernard Marr	74%	2.0M	4%	1
#31	46%	freeCodeCamp.org ▶	73%	11.5M	5%	7
#32	46%	Tech With Tim ▶	74%	2.0M	3%	3
#33	45%	Fireship ▶	73%	4.1M	3%	3
#34	45%	AGI Lambda	73%	12.9K	3%	2
#35	44%	The AI Hacker	72%	60.8K	2%	1
#36	44%	Core Electronics ▶	72%	227K	2%	1
#37	44%	Stanford HAI	72%	33.6K	2%	2
#38	44%	Computerphile	71%	2.6M	3%	1
#39	44%	DeepLearningAI	71%	664K	2%	2
#40	43%	Education Nest	70%	229K	3%	1
#41	42%	ByteByteGo ▶	69%	1.4M	3%	4
#42	42%	Salesforce Trailhead Solutions	68%	2.3K	4%	1
#43	42%	Linus Tech Tips ▶	69%	16.8M	3%	2
#44	41%	Neil Rhodes	66%	4.9K	3%	2
#45	40%	Online Tech Tips	65%	33K	3%	1

Search Queries Used

large language models foundation models autonomous agents multimodal agents local AI deployment ai on consumer hardware ai model optimization open source ai models ai inference optimization low latency ai ai hardware acceleration speech recognition ai vision models ai agent design transformer models large language model basics foundation model themes autonomous agent design multimodal agent workflows edge AI deployment on-device inference tips model compression techniques open source LLMs inference optimization strategies low latency transformers hardware acceleration tips speech to text models image and video understanding vision transformer basics agent planning techniques policy alignment methods evaluation benchmarks data efficiency practices transfer learning for LLMs multitask learning strategies

Frequently Asked Questions

Which YouTube channels are most similar to Sam Witteveen?

IBM Technology (89% match, 1.6M subscribers) is Sam Witteveen's biggest competitor, followed by AI Engineer (53% match, 375K subscribers) and AI Search (52% match, 643K subscribers). All three channels focus on AI, machine learning, and related technologies, sharing content that targets developers and enthusiasts interested in advanced AI tools and implementations.

What type of content does Sam Witteveen make?

Sam Witteveen creates videos about AI, machine learning, and multimodal models, with titles such as Nemotron 3 Ultra NVIDIA's 550B Open Model, Cosmos 3 - NVIDIA's World Foundation Model, Running Local AI on AMD, OpenShell Agents, and MiniCPM-V 4.6: The Tiny Vision Model Your Agents Need. He uploads approximately 1.4 times per week, and his videos average about 19.2K views each.

How do we determine which channels are similar to Sam Witteveen?

We analyze Sam Witteveen'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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