17 tech YouTubers to follow or partner with in 2026

Trying to learn Kubernetes? Nana Janashia has detailed tutorials on Docker, Kubernetes, and CI/CD.

Preparing for coding interviews? Raj Vikramaditya, better known as Striver, has built an entire learning library around data structures and algorithms. And if you're getting into LLM evaluations, Hamel Husain is someone I'd recommend following.

There are plenty of tech YouTubers covering everything from programming to AI. Finding creators who consistently teach something useful takes a little more work.

I put together this list for two groups: developers looking for people they can learn from, and DevTools companies looking for creators whose content reaches the software engineers they want to acquire.

I shortlisted 17 tech YouTubers covering coding, AI, DevOps, cybersecurity, data engineering, and Web3. I also used the Bright Data API to collect publicly available YouTube data on November 4, 2026, including subscriber counts and video views, so you can see how each creator's content is performing.

Whether you're looking for your next YouTube subscription or researching creators for an influencer marketing campaign, you'll find their channels, areas of expertise, and audience metrics below.

How I picked these tech YouTubers

I started with 20 YouTube channels covering software development, AI, cloud infrastructure, security, and related technical subjects.

I used the Bright Data API to scrape publicly available YouTube channel and video data, including subscriber counts, video views, and upload dates.

From there, I selected 17 individual creators whose content is relevant to developers.

For each channel, I looked at:

• Subscribers: How many people subscribe to the channel.
• Recent video views: Views recorded across up to 10 available uploads.
• Median views: The middle value of those sampled video views.
• Content: What the creator teaches and who the videos are for.

I used median views because one unusually popular video can push the average up. It's a helpful starting point for understanding how individual uploads perform.

The sample includes Shorts and long-form videos. Some channels also have older uploads, which I've flagged below.

Here's what I found.

In a nutshell: Tech YouTubers by subscribers, topics and median video views

By subscribers and topics

Tech YouTuber	Main topic	Subscribers
Nana Janashia	DevOps, Kubernetes	1.5M
Raj Vikramaditya (Striver)	Coding, DSA	1.13M
Kunal Kushwaha	DevOps, open source	926K
Abhishek Veeramalla	AWS, DevOps	677K
Gerald Auger	Cybersecurity	278K
Daniel Bourke	Machine learning	253K
Andreas Kretz	Data engineering	245K
Ben Sadeghipour	Ethical hacking	212K
Patrick Collins	Web3, Solidity	173K
Mischa van den Burg	Kubernetes	129K
Benjamin Rogojan	Data engineering	123K
Adrian Cantrill	AWS architecture	74.9K
Rishab Kumar	Cloud, DevRel	34.8K
Elvis Saravia	LLMs, AI research	25.5K
Jason Haddix	Offensive security	24.5K
Hamel Husain	LLM evaluations	20.5K
Brian Jenney	Software engineering, AI	10.6K

By median video views

One interesting finding was Brian Jenney. He had 10,600 subscribers, but his sampled videos had a median of 9,360 views.

Andreas Kretz, with 245,000 subscribers, had a median of 470 views across his sampled videos.

The samples cover different topics and upload dates, so this isn't a direct comparison of sponsorship performance. It's a good reason to look at individual videos before making decisions based on subscriber counts.

Now, let's get into the creators.

Best coding and programming YouTubers

If you're learning to code, preparing for interviews, or exploring AI-assisted development, these two channels are good starting points.

1. Raj Vikramaditya (Striver)

YouTube: take U forward Subscribers: 1.13 million Median video views: 79,861

If you've ever prepared for a software engineering interview, you've probably come across Striver.

His channel, take U forward, focuses on data structures, algorithms, competitive programming, and coding interview preparation.

One of his best-known resources is the A2Z DSA Course, which takes learners through programming fundamentals, arrays, recursion, linked lists, trees, graphs, and dynamic programming.

He breaks problems down, works through the logic, and explains how to approach similar questions.

I'd recommend Striver to students preparing for technical interviews and developers who want to revisit their DSA fundamentals. His channel had 547 videos and more than 219 million lifetime views when we collected the data.

Good for: Data structures, algorithms, coding interviews, and competitive programming.

2. Brian Jenney

YouTube: Brian Jenney Subscribers: 10,600 Median video views: 9,360

Brian Jenney creates content around software engineering, AI-assisted development, and working with AI tools. His videos explore how developers can incorporate AI into their workflows and what it takes to move into AI-focused engineering roles.

What caught my attention was his view data. Despite having 10,600 subscribers, his sampled videos averaged 9,648 views, with a median of 9,360.

For a smaller channel, that's an interesting result. If you're experimenting with AI coding tools or trying to understand how software engineering roles are changing, his channel is worth exploring.

Good for: Applied AI, AI coding tools, and software engineering careers.

Best AI and machine learning YouTubers

AI YouTube has grown into a pretty broad category. You'll find everything from daily model announcements to tutorials that walk through training models, building LLM applications, and evaluating outputs.

These three creators focus on the technical side.

3. Daniel Bourke

YouTube: Daniel Bourke Subscribers: 253,000 Median video views: 10,212

Daniel Bourke teaches machine learning through practical projects. His tutorials cover PyTorch, deep learning, computer vision, and building machine learning applications with Python.

He often works through code, explains what's happening, and shares learning resources that viewers can follow.

His Learn PyTorch material is a good example.I'd recommend his channel if you already know some Python and want to get comfortable building and training machine learning models.

Good for: Python, PyTorch, deep learning, and machine learning projects.

4. Hamel Husain

YouTube: Hamel Husain Subscribers: 20,500 Median video views: 1,028

Building an LLM demo is one thing. Figuring out why it fails on real user inputs is another problem entirely.

That's the kind of work Hamel Husain talks about. His content covers LLM evaluations, LLM-as-a-judge, testing AI applications, and improving their reliability.

He also writes extensively about these subjects on hamel.dev. If you're building an AI application and trying to understand how to evaluate its output, Hamel's work is a good place to start.

Good for: LLM evaluations, AI application testing, and production AI.

5. Elvis Saravia

YouTube: Elvis Saravia Subscribers: 25,500 Median video views: 682

Elvis Saravia covers large language models, prompt engineering, and AI research. He's also associated with DAIR.AI, which maintains educational resources such as the Prompt Engineering Guide.

His work is helpful if you're trying to understand research concepts and how they apply to building AI applications.

I'd put him on the list for developers who want to learn more about prompting techniques, LLM capabilities, and emerging research.

Good for: LLMs, prompt engineering, and applied AI research.

Best DevOps, cloud, and platform engineering YouTubers

If you're learning Docker, Kubernetes, AWS, Terraform, or CI/CD, this category has some particularly good educators.

6. Nana Janashia

YouTube: TechWorld with Nana Subscribers: 1.5 million Median video views: 35,614

Nana Janashia runs TechWorld with Nana, one of the larger YouTube channels dedicated to DevOps education.

Her tutorials cover Docker, Kubernetes, Terraform, CI/CD, and cloud infrastructure. Her longer videos often begin with the fundamentals before moving into implementation.

For example, her Docker content explains images, containers, networking, and how the pieces fit together when running an application.

That makes her channel particularly helpful for developers moving into DevOps or platform engineering.

Good for: Docker, Kubernetes, Terraform, CI/CD, and DevOps fundamentals.

7. Kunal Kushwaha

YouTube: Kunal Kushwaha Subscribers: 926,000 Median video views: 62,041

Kunal Kushwaha creates tutorials on DevOps, cloud-native development, Kubernetes, Docker, and open source. He also spends time helping developers understand how to contribute to open-source projects.

One resource worth checking is his DevOps Bootcamp, which includes learning materials, assignments, and project resources.

His content is particularly relevant to developers getting started with DevOps and open-source contributions..

Good for: DevOps, Kubernetes, open source, and cloud-native development.

8. Abhishek Veeramalla

YouTube: Abhishek Veeramalla Subscribers: 677,000 Median video views: 23,901

Abhishek Veeramalla creates practical tutorials around AWS, DevOps, Kubernetes, Terraform, and CI/CD. A lot of his content follows a Zero to Hero format, making it easier to work through a subject in sequence.

His AWS DevOps Zero to Hero repository also gives learners access to project material and exercises.

If you're learning how to deploy applications, manage cloud infrastructure, or automate development workflows, his channel has plenty to explore.

Good for: AWS, Terraform, Kubernetes, and DevOps projects.

9. Mischa van den Burg

YouTube: Mischa van den Burg Subscribers: 129,000 Median video views: 989

Mischa van den Burg covers Kubernetes, cloud-native infrastructure, and homelab projects.

His videos explore tools such as Talos, CloudNativePG, and other technologies used to manage Kubernetes environments.

If you enjoy setting up infrastructure yourself and understanding how different components behave, you'll probably find something relevant here.

His sampled uploads had a median of 989 views. However, the sample included videos published as recently as November 4, so some had very little time to accumulate views.

Good for: Kubernetes, homelabs, and cloud-native infrastructure.

10. Adrian Cantrill

YouTube: Adrian Cantrill Subscribers: 74,900 Median video views: 14,179

Adrian Cantrill teaches AWS architecture and cloud engineering.

His educational material goes into networking, identity, storage, security, and designing systems using AWS services.

He's also known for his detailed AWS certification courses. I'd recommend his work if you're preparing for AWS certifications or want to understand how AWS services work together when designing applications.

One thing to flag: the ten videos in our sample were published between March and July 2023.

Good for: AWS architecture, cloud fundamentals, and certification preparation.

11. Rishab Kumar

YouTube: Rishab Kumar Subscribers: 34,800 Median video views: 753

Rishab Kumar creates content around cloud engineering, developer advocacy, and technical education.

His work covers cloud-native technologies and topics relevant to developers working with modern infrastructure.

He's also someone I'd look into if I were researching how developer advocates explain technical products through educational content.

Good for: Cloud engineering, developer advocacy, and technical education.

Best cybersecurity and ethical hacking YouTubers

Security covers several different disciplines. A developer interested in securing an application will probably look for different material than someone preparing for a SOC analyst role.

These three creators cover defensive security, web hacking, and offensive security.

12. Gerald Auger

YouTube: Simply Cyber Subscribers: 278,000 Median video views: 3,134

Gerald Auger runs Simply Cyber, a channel covering cybersecurity education, security careers, and defensive security practices.

His content includes discussions about security operations, industry developments, and what people working in cybersecurity do.

If you're interested in SOC operations or considering a career in cybersecurity, his channel is a good starting point.

Good for: Cybersecurity fundamentals, SOC operations, and security careers.

13. Ben Sadeghipour (NahamSec)

YouTube: NahamSec Subscribers: 212,000 Median video views: 5,466

Ben Sadeghipour, better known as NahamSec, creates content about ethical hacking, bug bounties, and web application security.

His tutorials explore reconnaissance, vulnerability research, and how security researchers approach web applications. If you're a developer interested in understanding how attackers identify weaknesses in applications, his videos are worth watching.

His content is also relevant to teams building application-security and developer-security tools.

Good for: Ethical hacking, bug bounties, and web application security.

14. Jason Haddix

YouTube: Jason Haddix Subscribers: 24,500 Median video views: 2,916

Jason Haddix is known for The Bug Hunter's Methodology, which covers approaches to reconnaissance and vulnerability discovery.

His educational material goes into how security researchers investigate targets, identify attack surfaces, and organize their testing.

You can also find related training through The Bug Hunter's Methodology. His YouTube content is particularly relevant if you're learning penetration testing or bug bounty research.

Good for: Penetration testing, reconnaissance, and offensive security.

Best data engineering YouTubers

Data engineering is another area where YouTube can be helpful, particularly when you're learning how databases, pipelines, orchestration, and analytics infrastructure work together.

15. Andreas Kretz

YouTube: Andreas Kretz Subscribers: 245,000 Median video views: 470

Andreas Kretz teaches data engineering fundamentals, including data pipelines, architecture, and engineering projects.

He's also behind Learn Data Engineering, which provides educational resources for people entering the field.

If you're trying to understand ETL pipelines, data infrastructure, or what data engineers work on, his content is a relevant starting point.

Interestingly, the ten sampled uploads had a median of 470 views. Anyone evaluating the channel for a collaboration should inspect the formats and publication dates before drawing conclusions from that number.

Good for: Data pipelines, ETL, and data engineering fundamentals.

16. Benjamin Rogojan (Seattle Data Guy)

YouTube: Seattle Data Guy Subscribers: 123,000 Median video views: 1,687

Benjamin Rogojan creates content about data engineering, analytics architecture, and building data pipelines.

He covers topics such as ETL, ELT, data infrastructure, and careers in data engineering. His Seattle Data Guy newsletter also explores data engineering and related technical subjects.

I'd recommend his channel to developers working with data systems or considering a move into data engineering. His sampled videos had a median of 1,687 views. The sample ended in June 2026, so check his latest uploads if you're evaluating current activity.

Good for: Data engineering, ETL/ELT, and analytics infrastructure.

Best Web3 and blockchain development YouTubers

17. Patrick Collins

YouTube: Patrick Collins Subscribers: 173,000 Median video views: 2,821

If you're learning Solidity or smart-contract development, Patrick Collins is someone you'll probably come across. His tutorials cover Solidity, Foundry, blockchain development, and smart-contract security.

He's also associated with Cyfrin Updraft, which provides structured courses for developers learning blockchain development.

His longer tutorials walk through writing, testing, and working with smart contracts. I'd recommend his content to developers building on Ethereum-compatible blockchains or getting started with smart-contract security.

Good for: Solidity, Foundry, and smart-contract development.

How to find the right tech YouTuber for your developer product

Let's say you're marketing a Kubernetes observability tool. You could approach a creator with a million subscribers who occasionally talks about cloud infrastructure.

But before doing that, I'd want to know something more specific: How many of their viewers are actively deploying, managing, or debugging Kubernetes clusters? That's the audience your product needs to reach. The same applies to other developer products.

If you're marketing an LLM evaluation platform, Hamel Husain's content is worth examining.

For an application-security product, I'd start by reviewing NahamSec and Jason Haddix. And for a DevOps tool, creators such as Nana Janashia, Kunal Kushwaha, and Abhishek Veeramalla are relevant starting points.

Here's how I'd evaluate them before spending money.

1. Look at the videos, not just subscriber counts

Subscriber numbers are useful for understanding a channel's size. They tell you very little about how an individual sponsored video might perform.

Take Brian Jenney. He had 10,600 subscribers, but his ten sampled uploads had a median of 9,360 views. That doesn't mean a sponsored video will get 9,000 views. It tells us his sampled uploads performed at that level.

I'd pull the creator's latest five to ten relevant videos, check their views and publication dates, and look for consistency. For technical products, I'd also compare long-form tutorials separately from Shorts.

2. Read the comments

Comments can tell you what people are trying to do with the information in a video. For example, on a Kubernetes tutorial, I'd look for questions about deployments, networking, debugging, and production environments.

Those are useful signals that viewers are trying to apply what they've learned. If most comments are from beginners asking how to install Docker, that's useful context too.

The right audience depends on what your product does.

3. See how the creator explains technical products

This matters quite a bit. In our survey of 101 developers about technical video content, 33% of respondents said excessive marketing or product promotion was their biggest frustration.

Another 24% pointed to missing or incomplete code. So, before approaching a creator, watch how they handle tutorials.

• Do they show the actual implementation?
• Can viewers follow along?
• Do they explain errors when something doesn't work?

For developer products, these details matter because the audience often wants to try the tool themselves.

4. Give the creator something they can actually build

If you're sponsoring a tutorial about your API, provide working documentation, API credits, and a sample project.

Let the creator work through the integration. Ideally, the finished video should help a developer complete a task with your product. You can review technical claims for accuracy without scripting every sentence.

5. Track what happens after someone watches

Views are useful, but I'd want to know what happened afterward.

• Did someone visit the documentation?
• Sign up?
• Make their first API call?
• Deploy something?

These actions tell you whether the campaign introduced developers who actually tried the product. Use trackable links and campaign landing pages where appropriate, and agree on what success looks like before the video goes live.

One final thing: the creators in this article haven't necessarily agreed to sponsorships. You'll need to contact them to confirm availability, pricing, and deliverables.

If you're building a creator program, our guide to developer marketing channels covers how creator partnerships fit into a broader distribution strategy.

Reach more developers with Hackmamba

Finding the right tech YouTubers is only the first step. You also need to understand who watches their content, whether those viewers are likely to use your product, and how to turn that interest into signups and active users.

At Hackmamba, we help DevTools and developer-focused companies acquire software engineers through tech influencer marketing.

We identify creators whose audiences match your ideal developers, manage outreach and partnerships, and work with them to produce technical tutorials, product walkthroughs, and integrations that show your product in use.

We also handle distribution and track what happens after someone watches, from website visits and developer signups to first API calls and product activation.

If you're looking to reach more software engineers through trusted technical creators, let's talk about your influencer marketing campaign.