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Home - Trend Radar & Startup Watch - AI cloud startup Runpod hits $120M in ARR — and it began with a Reddit submit  
Trend Radar & Startup Watch

AI cloud startup Runpod hits $120M in ARR — and it began with a Reddit submit  

NextTechBy NextTechJanuary 18, 2026No Comments6 Mins Read
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AI cloud startup Runpod hits 0M in ARR — and it began with a Reddit submit  
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Runpod, an AI app internet hosting platform that launched 4 years in the past, has hit a $120 million annual income run fee, founders Zhen Lu and Pardeep Singh inform TechCrunch.  

Their startup journey is a wild instance of how in case you construct it effectively and the timing is fortunate, they’ll positively come.

The story contains bootstrapping their option to over $1 million in income; touchdown a $20 million seed spherical after VC Radhika Malik, a accomplice at Dell Applied sciences Capital, noticed some Reddit posts; and gaining one other key angel investor, Hugging Face co-founder Julien Chaumond, as a result of he was utilizing the product and reached out over the help chat, the founders inform TechCrunch. 

All of it started in late 2021 when the 2 mates, who labored collectively as company builders for Comcast, determined the interest they have been doing wasn’t enjoyable anymore. 

That they had constructed setups of specialised computer systems used to generate Ethereum of their respective New Jersey basements. Whereas they did efficiently mine a little bit of the cryptocurrency, it wasn’t sufficient to pay again their funding, they stated. Plus, mining was going to finish after the much-ballyhooed community improve referred to as “The Merge.” 

On prime of that, it was “boring” after a few months, Lu stated. 

However that they had talked their wives into letting them spend a great $50,000 on the interest between them, they estimated. Lu and Singh knew that residence concord trusted discovering a method to make use of these GPUs. 

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The devs had been engaged in machine studying initiatives at work, so that they opted to transform their mining rigs into AI servers. This was earlier than ChatGPT, even earlier than DALL-E 2. 

As they repurposed the rigs, “We have been seeing how actually god-awful the software program stack was for coping with these GPUs,” Lu stated. As builders, they discovered an issue they wished to unravel.  

Runpod was born “as a result of we felt that the precise expertise of creating software program on prime of GPUs was simply sizzling rubbish,” Lu described. 

A couple of months later in early 2022, they have been able to share what that they had constructed. Runpod is a platform for internet hosting AI apps, emphasizing pace, simply configured {hardware} (together with a serverless possibility that automates configuration), and dev instruments like APIs, command-line interfaces, and different integrations.  

Again in 2021, they solely had just a few such integrations (like help for widespread internet app instrument Jupyter notebooks). The subsequent drawback: discovering beta testers. 

“As first-time founders, we didn’t actually know how one can market or how one can do something,” Lu recalled. “So I’m like, all proper, let’s simply submit on Reddit.” 

So, they posted in a few AI-oriented subreddits. The provide was easy: free entry to their AI servers in change for suggestions. It labored. They landed beta prospects, which led to paying prospects. Inside 9 months, that they had give up their jobs and hit $1 million in income, they stated. 

Bootstrapping development

However that led to a different drawback. “Six months in, enterprise customers have been like, ‘Hey, I need to truly run actual enterprise stuff in your platform. However I can’t run it on servers which can be in folks’s basements,” Lu stated. 

It had not occurred to the New Jersey founders to lift capital from VCs. As a substitute they fashioned revenue-share partnerships with information facilities to develop capability. But it surely was traumatic. The founders wanted to remain three steps forward. 

“If we don’t have the GPUs, the market sentiment, the consumer sentiment adjustments. As a result of once they don’t see capability from you, they go elsewhere,” Singh described. 

In the meantime, their consumer base was rising on Reddit and Discord, particularly after ChatGPT launched.

VCs have been additionally on the prowl for investments. Malik noticed them on Reddit and reached out, their first VC name. However Lu didn’t know how one can pitch to an investor. “Radhika was tremendous useful, even on the first dialog,” he stated. She mainly defined to him how a VC thinks and instructed him she’d keep in contact.  

In the meantime, Lu had a enterprise to run that needed to pay for itself. “It was nearly two years the place we actually didn’t have any funding,” he stated. So Runpod by no means supplied a free tier. It needed to at the least pay for itself, even when it wasn’t throwing off a lot revenue. In contrast to different AI cloud providers that started as crypto miners, these founders refused to tackle debt, they stated. 

By Could 2024, with AI app fever spreading, their fortunate choice to launch AI internet hosting for devs two years earlier was paying off. Their enterprise had grown to 100,000 builders, and so they landed a $20 million seed deal co-led by the VC arms of each Dell and Intel, with participation from massive names like Nat Friedman and Chaumond.  

They haven’t raised extra money since however are actually planning to, armed with a enterprise that, they consider, ought to command a wholesome Collection A. 

Right this moment, Runpod counts 500,000 builders as prospects, starting from people to Fortune 500 enterprise groups with multimillion-dollar annual spend, the founders stated. 

Their cloud spans 31 areas globally and counts prospects like Replit, Cursor, OpenAI, Perplexity, Wix, and Zillow as customers.

Competitors can be fierce. Devs have all the foremost clouds to select from (AWS, Microsoft, Google), plus loads of industry-specific decisions like CoreWeave and Core Scientific. 

However in addition they see their place on the earth a bit otherwise — as a dev-centric platform. They don’t see coding ever going away however altering. Programmers will develop into AI agent creators and operators. 

“Our objective is to be what this subsequent technology of software program builders grows up on,” Lu stated.  

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