Tina Huang

Subscribers 1.1M

Videos 321

Views 49.6M

Channels Like Tina Huang

Tina Huang covers AI, coding, tech, career, and self-study topics, blending tutorials, career guidance, and AI-focused content. The channel emphasizes efficient learning and leveraging AI, with video topics ranging from how to code in 2026 to open source AI, AI apps, and data analysis. Uploads occur at an average of about 0.7 per week, with an average video view count around 94.8K.

Similar Channels

We found 48 YouTube channels similar to Tina Huang

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

88% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 26

SERP 100%

Similarity 80%

ai model explained open source ai overview essential ai skills

Both target AI and technology skills with high search overlap (ai model explained, open source ai overview) and similar content focus on explanations and fundamentals, yielding an 88% match driven by search alignment and 80% content similarity.

#2

Simplilearn view on YouTube ▶

76% relevance

Subscribers 6.1M

Videos 10K

Views 509.1M

Appearances 14

SERP 69%

Similarity 80%

ai for data analysis data science skills data science roadmap

Shares a strong emphasis on data science and AI career pathways (ai for data analysis, data science roadmap) with Tina Huang, reflecting a high search overlap (69%) and solid content alignment (80%), indicating a similar audience and instructional style.

#3

Jeff Su view on YouTube ▶

74% relevance

Subscribers 1.6M

Videos 294

Views 91.5M

Appearances 13

SERP 59%

Similarity 84%

ai model explained essential ai skills ai for data analysis

Converges on AI fundamentals and data analysis topics (ai model explained, essential ai skills, ai for data analysis) with Tina Huang, showing a 59% search overlap but strong content relevance (84%), implying similar instructional topics with somewhat different audience discovery patterns.

#4

Dan Martell view on YouTube ▶

73% relevance

Subscribers 2.4M

Videos 2.9K

Views 283.0M

Appearances 12

SERP 54%

Similarity 86%

future jobs 2026 skills for ai 2026 essential ai skills

Focuses on future jobs and AI skills (future jobs 2026, skills for ai 2026, essential ai skills) that mirror Tina Huang’s AI-skills orientation, yielding 54% search overlap yet high content alignment (86%), suggesting similar expert-led career guidance.

Programming with Mosh YouTube channel thumbnail

#5

Programming with Mosh view on YouTube ▶

73% relevance

Subscribers 5.0M

Videos 243

Views 265.7M

Appearances 14

SERP 56%

Similarity 84%

learn to code 2026 ai app development coding career tips

Targets coding, AI app development, and career tips (learn to code 2026, ai app development, coding career tips) with substantial search alignment (56%) and strong content similarity (84%), indicating overlapping tech-education content and audience.

#6

Tech With Tim view on YouTube ▶

70% relevance

Subscribers 2.0M

Videos 1.8K

Views 209.2M

Appearances 13

SERP 51%

Similarity 82%

learn to code 2026 future jobs 2026 fast ai learning

Covers learn to code 2026 and future jobs 2026 with fast AI learning, producing moderate search overlap (51%) but high content similarity (82%), showing parallel beginner-friendly coding-and-AI education style.

Content Landscape

Top competitors include IBM Technology (88% match) and Simplilearn (76% match). Jeff Su (74% match) and Dan Martell (73% match) also show strong alignment, with overlap on ai model explanations, essential AI skills, and future AI-related topics. These channels are larger in subscriber bases (IBM Technology ~1.6M, Simplilearn ~6.1M, Jeff Su ~1.6M, Dan Martell ~2.4M, Programming with Mosh ~5M), indicating Tina Huang operates in a space with established, high-subscriber competitors that focus on AI, data science skills, and coding education. Shared queries among competitors include ai model explained, essential ai skills, ai for data analysis, and learn to code 2026.

Video Highlights

Didn't Make the Cut

42 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	69%	Fireship ▶	76%	4.1M	58%	9
#8	67%	freeCodeCamp.org ▶	81%	11.5M	46%	18
#9	65%	Mikey No Code	81%	109K	40%	13
#10	61%	Futurepedia ▶	84%	667K	27%	6
#11	61%	Sundas Khalid	87%	354K	23%	6
#12	61%	Matt Mike ▶	81%	17.7K	31%	5
#13	60%	Jean Lee	84%	102K	25%	6
#14	60%	Marina Wyss - AI & Machine Learning	86%	128K	20%	7
#15	58%	Silicon Valley Girl ▶	84%	1.5M	19%	4
#16	58%	Python Programmer	77%	782K	29%	4
#17	55%	JavaScript Mastery	82%	1.2M	15%	2
#18	55%	codebasics	82%	1.5M	15%	6
#19	55%	Justin Sung ▶	79%	2.0M	19%	4
#20	54%	NeetCode ▶	79%	1.1M	18%	6
#21	54%	365 Data Science	79%	368K	16%	4
#22	53%	Andrew Codesmith ▶	79%	75.4K	15%	2
#23	53%	edureka! ▶	78%	4.4M	16%	7
#24	53%	Luke Barousse	76%	615K	18%	2
#25	52%	Iman Musa	81%	35.6K	9%	1
#26	52%	Matthew Berman	77%	580K	15%	2
#27	52%	NoCode AI Builders	80%	12.6K	11%	1
#28	52%	A Life Engineered	78%	196K	12%	3
#29	51%	theMITmonk ▶	80%	752K	9%	3
#30	51%	EO	78%	658K	9%	4
#31	51%	Nick Saraev ▶	78%	312K	9%	1
#32	50%	Intellipaat	78%	12.8M	9%	3
#33	50%	CodeHead ▶	77%	69.8K	10%	3
#34	50%	Mo Chen	77%	203K	10%	3
#35	50%	ByteByteGo ▶	71%	1.4M	18%	3
#36	50%	App Insider Pro	77%	10.2K	9%	1
#37	49%	Flux Academy	73%	1.1M	12%	2
#38	48%	Kevin Stratvert ▶	71%	4.2M	15%	5
#39	48%	3Blue1Brown ▶	70%	8.2M	15%	3
#40	47%	Tim Kim	73%	250K	9%	1
#41	47%	bigboxSWE ▶	70%	266K	13%	1
#42	47%	Exponent	70%	481K	12%	2
#43	46%	TEDx Talks ▶	68%	44.2M	15%	6
#44	46%	ThePrimeagen ▶	71%	541K	10%	2
#45	46%	Indently	66%	342K	15%	2
#46	45%	Edutopia	68%	268K	11%	1
#47	44%	World Science Festival	66%	1.4M	11%	1
#48	43%	Testopic	64%	5.5K	11%	1

Search Queries Used

learn to code 2026 ai model explained open source ai overview ai app development manga ai app future jobs 2026 skills for ai 2026 essential ai skills ai for data analysis learning faster with ai ai agents course fast ai learning coding career tips tech career guidance data science skills ai self study learn Python basics data science roadmap AI integration tips machine learning skills coding interview prep automated testing basics data analysis with Python cloud computing basics AI ethics overview deep learning concepts statistical thinking for AI portfolio building ideas neural network basics version control for beginners debugging techniques AI product mindset high impact learning career path in AI prompt engineering basics no-code AI tools

Frequently Asked Questions

Which YouTube channels are most similar to Tina Huang?

IBM Technology (88% match, 1.6M subscribers), Simplilearn (76% match, 6.1M subscribers), Jeff Su (74% match, 1.6M subscribers). All three channels are tech-focused education channels that produce content related to data science, AI, and technology careers, similar to Tina Huang's focus on data science tutorials and tech topics.

What type of content does Tina Huang make?

Tina Huang produces data science and technology tutorials and related content. Video titles include How To Learn To Code In 2026, Every AI Model Explained, Open Source AI In 17 Minutes, I Built an AI App to Make Manga (From Zero Art Skills), and Best Upcoming Jobs (2026 - 2030). She uploads roughly 0.7 videos per week, with an average video view count around 94.8K.

How do we determine which channels are similar to Tina Huang?

We analyze Tina Huang'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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