Cloud Codes

Subscribers 28.3K

Videos 154

Views 1.9M

Channels Like Cloud Codes

Cloud Codes covers cloud engineering, AI automation, DevOps, and modern software development, offering tutorials and deep-dives on building scalable systems, automating workflows, and deploying applications. The channel publishes long-form content (averaging about 10 minutes per video) with an emphasis on practical tools and techniques, and achieves an average view count around 59.3K per video from 154 published entries since joining June 14, 2026, with a total of 1.9M views and 28.3K subscribers.

AI summary

Similar Channels

We found 49 YouTube channels similar to Cloud Codes

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

86% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 37

SERP 100%

Similarity 77%

cloud infrastructure local AI models open source ai models

High search overlap on cloud topics (cloud infrastructure, open source AI models) with 100% search alignment and 77% content similarity, indicating they target similar audiences with somewhat different depth and branding—IBM leans more enterprise-focused while Cloud Codes is developer/ops oriented.

AI summary

#2

Fireship view on YouTube ▶

80% relevance

Subscribers 4.1M

Videos 790

Views 673.5M

Appearances 18

SERP 76%

Similarity 84%

devops automation cloud infrastructure web assembly development

Strong alignment on cloud and DevOps topics (cloud infrastructure, devops automation) reflected in high search and content similarity, though Fireship presents rapid, tutorial-driven content style while Cloud Codes is more instructional/conceptual in nature.

AI summary

#3

ByteByteGo view on YouTube ▶

64% relevance

Subscribers 1.4M

Videos 163

Views 59.3M

Appearances 15

SERP 49%

Similarity 74%

cloud deployment automation system scalability engineering scalable architecture patterns

Shared emphasis on cloud deployment automation and scalable architectures (high search match 49% but very high content match 74%), indicating similar technical topics delivered with ByteByteGo’s deep-dive engineering explanations versus Cloud Codes’ structured tutorials.

AI summary

#4

TechWorld with Nana

63% relevance

Subscribers 1.4M

Videos 156

Views 79.3M

Appearances 21

SERP 48%

Similarity 73%

cloud engineering devops automation cloud deployment automation

Overlap on cloud engineering and automation (search 48%, content 73%) shows audience and topic parity, with TechWorld offering broad, step-by-step demos that complement Cloud Codes’ focused how-tos.

AI summary

#5

Simplilearn view on YouTube ▶

63% relevance

Subscribers 6.1M

Videos 10K

Views 509.1M

Appearances 13

SERP 46%

Similarity 74%

cloud engineering devops automation software development

Common focus on cloud engineering and devops automation (search 46%, content 74%), suggesting a shared audience across broader certification-driven content versus Cloud Codes’ hands-on, project-oriented videos.

AI summary

freeCodeCamp.org YouTube channel thumbnail

#6

freeCodeCamp.org view on YouTube ▶

60% relevance

Subscribers 11.5M

Videos 2.1K

Views 954.1M

Appearances 14

SERP 31%

Similarity 79%

cloud infrastructure web assembly development ai workload orchestration

Pleasant overlap on cloud infrastructure and AI workload topics (search 31%, content 79%), indicating a similar technical audience; freeCodeCamp covers broader programming education, while Cloud Codes zeros in on cloud-native practices.

AI summary

Content Landscape

Discovered competitors include IBM Technology (86% match) and Fireship (80% match) as top rivals, both sharing overlapping queries such as cloud infrastructure and local AI models, and devops automation or web assembly development. ByteByteGo (64% match), TechWorld with Nana (63% match), and Simplilearn (63% match) follow, with overlaps in cloud deployment automation and scalable architecture topics. IBM Technology has 1.6M subscribers, Fireship has 4.1M, ByteByteGo 1.4M, TechWorld with Nana 1.4M, and Simplilearn 6.1M, indicating Cloud Codes competes for similar search queries across substantial audiences but remains smaller in subscriber count than several competitors. The common threads are cloud engineering, automation, and AI/local models, with overlapping queries including cloud infrastructure, cloud deployment automation, and open source AI models.

AI summary

Video Highlights

Didn't Make the Cut

43 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	59%	Better Stack ▶	83%	121K	25%	5
#8	58%	Google Cloud Tech	76%	1.4M	32%	6
#9	58%	Abhishek.Veeramalla	72%	595K	37%	13
#10	57%	Kai	88%	4.6K	9%	3
#11	55%	ForrestKnight ▶	81%	688K	15%	4
#12	55%	Syntax ▶	83%	465K	11%	2
#13	54%	Akamai Developer	82%	1.0M	13%	5
#14	54%	Tech With Soleyman	73%	171K	25%	9
#15	54%	Codebagel ▶	77%	79.3K	18%	4
#16	53%	Alex Hyett	78%	72.8K	16%	5
#17	52%	Be A Better Dev ▶	74%	283K	20%	7
#18	52%	NetworkCoder	80%	13.4K	11%	2
#19	52%	Jeff Su ▶	80%	1.6M	10%	1
#20	52%	Tom Shaw	78%	48.7K	14%	5
#21	52%	DevOps & AI Toolkit ▶	78%	94.8K	13%	2
#22	51%	Tina Huang ▶	79%	1.1M	8%	3
#23	51%	Amazon Web Services	78%	836K	10%	5
#24	50%	Tech With Lucy	76%	268K	12%	5
#25	50%	Dev Sense	78%	12.6K	8%	2
#26	50%	KodeKloud	78%	322K	8%	4
#27	50%	DevOps Directive	77%	100K	10%	1
#28	50%	Modern Software Engineering	78%	259K	8%	5
#29	50%	ExplainingComputers	76%	1.2M	10%	1
#30	50%	Infrasity	70%	8.4K	19%	4
#31	49%	DevOps Journey	72%	90.2K	15%	4
#32	49%	Vishakha Sadhwani	76%	57K	9%	2
#33	48%	Red Stapler	74%	176K	10%	3
#34	48%	Digital Spaceport	74%	85.2K	10%	4
#35	48%	STL Partners	74%	1.1K	9%	2
#36	47%	Digital Cloud Training	73%	86.6K	8%	3
#37	46%	Analytics Insight	72%	7.0K	8%	1
#38	46%	Confluent	71%	94.2K	8%	3
#39	46%	Go Cloud Architects	71%	96.7K	8%	2
#40	46%	CNBC ▶	70%	4.1M	10%	1
#41	46%	Java Guides	68%	185K	12%	3
#42	45%	Exponent ▶	70%	481K	8%	1
#43	44%	TEDx Talks ▶	67%	44.2M	10%	1
#44	44%	The Modern Coder	69%	42.4K	8%	1
#45	44%	Microlearning Daily	68%	6.2K	8%	1
#46	44%	Professor Messer ▶	66%	1.3M	10%	3
#47	43%	Technophilia	67%	1.3K	8%	1
#48	43%	Game Code Mastery	67%	9.1K	8%	1
#49	41%	CodeLucky ▶	60%	7.4K	11%	5

Search Queries Used

cloud engineering devops automation software development cloud infrastructure local AI models web assembly development gpu local AI ai automation tools open source ai models cloud deployment automation ai workload orchestration frontend automation tools cloud computing workflows system scalability engineering infrastructure as code cloud security practices scalable architecture patterns continuous deployment pipelines infrastructure monitoring tools container orchestration basics serverless compute concepts edge computing use cases pull request automation observability fundamentals cost optimization cloud data migration strategies microservices design patterns config management tools CI/CD pipeline design cloud networking fundamentals event-driven architecture ai model deployment gpu cloud workloads devsecops practices infrastructure testing

Frequently Asked Questions

Which YouTube channels are most similar to Cloud Codes?

IBM Technology — 86% match, 1.6M subscribers; Fireship — 80% match, 4.1M subscribers; ByteByteGo — 64% match, 1.4M subscribers. All three are tech-focused YouTube channels covering software, cloud, and development topics with a strong emphasis on tutorials, explanations, and programming concepts.

What type of content does Cloud Codes make?

Cloud Codes creates tech and software-focused videos, with titles like 10 Github Repos That Will Kill Your Monthly Subscriptions, HTMX Explained: The \"Dumb\" HTML Secret Replacing React, Run the GLM-5.2 on Your Laptop Locally (No GPU Needed), Cloud is a Trap (Why Basecamp Left AWS), and Local AI Just Hit the Tipping Point (Colibri). The channel averages around 59.3K views per video and posts multiple videos per week.

How do we determine which channels are similar to Cloud Codes?

We analyze Cloud Codes'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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