From a Reddit Post to $120M: The Runpod Startup Story

In late 2021, two Comcast developers had a problem at home. Zhen Lu and Pardeep Singh had talked their wives into letting them spend about $50,000 between them on graphics cards to mine Ethereum in their New Jersey basements. The mining never paid for itself, and after a couple of months it got, in Lu's word, "boring." They needed a way to justify the hardware.

What they did next turned a stranded crypto bet into Runpod, an AI cloud platform now running at a $120 million annual revenue rate, the founders told TechCrunch. The hinge of the whole story is a single Reddit post.

For founders, the lesson is that distribution does not have to be expensive or clever. Sometimes it is just showing up in the exact place your first users already hang out and offering them something real. Here is how it happened, and what you can take from it.

Key takeaways

A dead side project became the asset. Lu and Singh repurposed $50,000 of idle Ethereum mining GPUs into AI servers, before ChatGPT existed.
One Reddit post was the launch. They offered free GPU time in a couple of AI subreddits in exchange for feedback, and that turned beta users into paying customers.
They bootstrapped to more than $24 million in revenue before taking a dollar of venture money, growing capacity through revenue-share deals with data centers.
A VC found them on Reddit, not the other way around. Dell Technologies Capital partner Radhika Malik saw the posts and reached out, which led to a $20 million seed round in May 2024.
Timing plus luck mattered. They launched AI hosting roughly two years before the ChatGPT wave made it essential.

A $50,000 hobby that stopped being fun

Lu and Singh were friends and corporate developers at Comcast who had built rigs of specialized computers to generate Ethereum at home. They mined some cryptocurrency, but not enough to earn back the $50,000 in hardware, and a looming network upgrade called The Merge was about to end GPU mining on Ethereum entirely.

So the machines were on track to become a very expensive lesson. The founders had spent real money and needed a return that would keep the peace at home. That pressure, more than any grand plan, is what pushed them to look for a second life for the GPUs.

The pivot: from mining rigs to AI servers

Both men had worked on machine learning at their day jobs, so they converted the mining rigs into AI servers. This was before ChatGPT and even before DALL-E 2, so they were early. As they rebuilt the setups, they ran into a problem that turned out to be the actual opportunity.

The software for running AI workloads on GPUs was painful. Runpod was born, as Lu put it to TechCrunch, "because we felt that the actual experience of developing software on top of GPUs was just hot garbage." They set out to make GPU development less miserable, with fast, preconfigured hardware and developer tools like APIs and command-line access.

The Reddit post that started it all

By early 2022 they had something to show, and the next problem was the one every first-time founder hits: nobody knew the product existed. They had no marketing budget and no playbook.

"As first-time founders, we didn't really know how to market or how to do anything," Lu told TechCrunch. "So I'm like, all right, let's just post on Reddit." They published in a couple of AI-focused communities, including a now-archived thread in r/reinforcementlearning titled, plainly, an offer of free GPU time in return for feedback.

The offer was simple and generous: free access to their AI servers in exchange for honest input. It worked. Beta testers showed up, some of them converted to paying customers, and within nine months Lu and Singh had quit their Comcast jobs and crossed $1 million in revenue. No ad spend, no growth hacks, just a useful product offered where the right people were already talking.

Bootstrapping past $24 million with no VC

Demand created the next headache. As Lu described it, business users started saying they wanted to run real workloads but could not rely on servers sitting in someone's basement. Runpod needed far more capacity, fast.

Rather than raise money, the founders struck revenue-share partnerships with data centers to expand. It was stressful, and it forced discipline. Runpod never offered a free tier, because the business had to at least pay for itself. Unlike some AI clouds that grew out of crypto mining and loaded up on debt, Lu and Singh refused to borrow. "It was almost two years where we really didn't have any funding," Lu said. By the time they did raise, they had bootstrapped past $24 million in revenue.

How a Reddit thread became a $20 million round

The same Reddit presence that found their first users eventually found their first investor. Radhika Malik, a partner at Dell Technologies Capital, saw the posts and reached out. It was the founders' first real VC conversation, and Lu did not know how to pitch. He credited Malik with coaching him through it: "Radhika was super helpful, even at the first conversation," he said.

A second believer, Hugging Face co-founder Julien Chaumond, became an angel investor after using the product and contacting the team through the support chat. In May 2024, with AI demand surging, Runpod closed a $20 million seed round co-led by Intel Capital and Dell Technologies Capital, with participation from Chaumond and former GitHub CEO Nat Friedman. The company had reached 100,000 developers.

Where Runpod is now

Today Runpod counts roughly 500,000 developers as customers, from individuals to Fortune 500 teams, and its cloud spans 31 regions. Its user list includes Replit, Cursor, OpenAI, Perplexity, Wix, and Zillow, and the business runs at a $120 million annual revenue rate, per TechCrunch and a recap in Entrepreneur.

The founders frame their bet on developers as a long one. They expect programmers to become, in effect, creators and operators of AI agents. "Our goal is to be what this next generation of software developers grows up on," Lu said.

What founders can learn from the Runpod story

Sell where your users already are. Lu and Singh did not buy ads. They posted in the niche subreddits where their exact buyers, AI developers, were already asking questions.
Trade value for feedback. Free GPU time in exchange for honest input gave them users, product direction, and early credibility at the same time.
Bootstrapping is leverage. Reaching more than $24 million in revenue before raising meant they negotiated their seed round from strength, not desperation.
Solve the problem in front of you. They did not set out to build an AI cloud. They noticed the GPU software was painful and fixed that.
Be early, then be patient. Launching AI hosting before ChatGPT looked like bad timing for two years. Then it looked like genius.

Why the Reddit playbook still works

Runpod is an extreme outcome, and luck played a part the founders are quick to admit. But the mechanic underneath is repeatable. A focused community, a genuinely useful offer, and a founder willing to answer questions in public can still beat a marketing budget. If you are building something for a specific kind of user, the odds are good that a few thousand of them are already gathered in a subreddit, waiting for someone to show up with something worth trying. For the hardware side of that story, see our guide to the best mini PCs for running local AI, and for software, the best AI tools for business.

Frequently asked questions

What is Runpod?

Runpod is a cloud platform for hosting AI applications, built to make developing and running software on GPUs easier. It offers preconfigured hardware, a serverless option, and developer tools like APIs and command-line access. As of early 2026 it serves about 500,000 developers and runs at a $120 million annual revenue rate.

How did Runpod start?

Founders Zhen Lu and Pardeep Singh spent about $50,000 on GPUs to mine Ethereum in their New Jersey basements. When mining stopped being worthwhile, they converted the rigs into AI servers and built software to make GPU development easier, then launched by posting on Reddit in early 2022.

What subreddit did Runpod post in?

The founders posted in a couple of AI-focused communities, including r/reinforcementlearning, offering free GPU time in exchange for feedback. That post drew beta users who became paying customers, and a VC later discovered the company through its Reddit activity.

How much revenue does Runpod make?

Runpod told TechCrunch it runs at a $120 million annual revenue rate as of January 2026. The founders bootstrapped past $24 million in revenue before raising any venture capital, then closed a $20 million seed round in May 2024.

Who invested in Runpod?

Runpod's $20 million seed round in May 2024 was co-led by Intel Capital and Dell Technologies Capital. Dell partner Radhika Malik first found the company on Reddit. Angel investors include Hugging Face co-founder Julien Chaumond and former GitHub CEO Nat Friedman.