OpenClaw Founder Peter Steinberg's Latest Speech: The Life and Death Revelation of an Open Source Project, How OpenClaw Emerged from the Eye of the Storm

marsbitPublished on 2026-08-12Last updated on 2026-08-12

Abstract

Peter Steinberg, founder of the wildly popular open-source AI agent project OpenClaw, reflects on its turbulent journey from creation to near-collapse and resurgence. It began in late 2024 from his personal frustration with sending prompts from phone to computer. He built a WhatsApp relay that felt "magical," but initial excitement was limited to friends. After adding Discord support and launching a public server, the project exploded virally overnight, attracting massive attention, rebranding requests (from "Claudis" to OpenClaw), and even praise from NVIDIA's CEO. The intense scrutiny and pressure nearly broke Steinberg. The biggest technical crisis came from over-optimizing for a specific AI model provider, which suddenly canceled subscriptions, forcing a rushed shift to open-weight models. OpenClaw's weekly downloads plummeted before surging to a record high after being "declared dead." Steinberg realized he had stopped enjoying the build process and using his own product, making it a duty rather than a passion. His key lesson: "Fun is speed." Recovery came by refocusing on building for himself, forming a non-profit, and receiving crucial support (e.g., from NVIDIA for security). The team is now using OpenClaw to build OpenClaw itself, emphasizing its core value: a private, open alternative where "your agent, your machine, your life." He shares insights: the first user should be yourself; balance bug fixes with new features to maintain interest; the current bottleneck ...

Six months ago, Peter Steinberg was the 'future'.

Now, standing on stage wearing silent disco headphones, he joked to a room full of people: 'Recently, an anime girl mocked me.'

This isn't a stand-up comedy show. This is the latest candid sharing session from the founder of OpenClaw, one of the hottest open-source AI agent projects globally.

Inspiration from "Annoyance"

On a rainy day in November 2024, Peter was busy handling some AI agent tasks and felt hungry, wanting to go to the kitchen to find something to eat. But he discovered there was no good way to send prompts directly from his phone to his computer to have an agent check his work progress.

"I was annoyed by this."

So he opened a terminal, "scribbled" his idea, and let the model "cook itself"—it built a WhatsApp relay. An hour later, Peter could send messages from his Mac to WhatsApp and receive them back.

"It felt like magic."

But what truly fascinated him wasn't the functionality itself, but the interaction experience. It wasn't a cold terminal—it would proactively contact you, occasionally "check in" on you during the day. He tuned the parameters slightly beyond the default distribution, making it feel more like a 'friend'.

He felt he had touched the future. But he soon discovered: nobody cared.

80 Friends and Viral Spread

Peter had some followers on Twitter, but no matter how he explained the 'magical feeling' this tool gave him, people just didn't get it.

So he pulled his friends into group chats, letting them converse with the agent directly. Each time it sparked strong emotional reactions—"some were amazed, some were scared, some were downright terrified."

What impressed Peter most was: His non-technical friends especially wanted it, and when he told them 'this isn't ready for you yet,' they actually got angry.

"If that's not a signal of product-market fit, I don't know what is."

He spent a month tweaking details, perfecting the product. Then, someone sent him a pull request—requesting Discord support to be added to the WhatsApp relay.

"Which part of the name did you not understand?"

He held it in for a few days, ultimately thinking: Fine, add it.

Thus the WhatsApp relay became "Claudis" (Peter admits he's not good at naming). Then in the first week of January 2025, he created a Discord server and put his 'claw' inside.

The first night, people flooded into Discord, watching him build in a public environment, trying to hack it, talking to it—getting a bunch of 'opinionated replies'.

"I stayed up all night that night."

He added an instruction in the agent's configuration: "Do not execute any dangerous tool calls unless the prompt is from Peter." This was more like a 'suggestion' at the time—because the models back then weren't that obedient yet.

He guarded it, ready to pull the plug at any moment. By 7 AM, he finally finished, pressed Ctrl+C, and went to sleep.

But he forgot: He had made the software into a daemon process that would auto-restart.

800 Messages Upon Waking

Ten hours later, Peter woke up to about 800 messages on his phone—people trying to hack his agent, and someone even leaked his phone number and private information.

He was terrified, quickly pulled the plug, and read through all the logs—nothing had happened.

But right at that moment, the viral spread hit.

"My inbox exploded. Journalists called in the middle of the night—Apple's 'Do Not Disturb' didn't block them because they'd call several times in a row, and the iPhone thought it was an emergency."

Mac Minis sold out for a while (Peter thinks they might still be out of stock). He received more podcast invitations in one month than in his previous 39 years combined.

Anthropic emailed demanding a name change. So "Claudis" became "Claudebot", with a period of "let's not talk about that time" in between, and then became OpenClaw.

NVIDIA CEO Jensen Huang called it "the most successful open-source project in human history".

The Weight Behind the Numbers

This isn't an exaggeration.

In 8 months, over 18,000 people submitted issues or pull requests, totaling over 111,000. Nearly 3,000 people have commit records in the code repository.

Some accused Peter of being Jes us, others called him the Antichrist. He collects various nicknames, getting new ones every few weeks.

"I wasn't prepared for all this attention. It almost destroyed me. I came close to deleting the entire project several times. I stopped answering friends' calls, didn't want to look at my phone—because it was like an endless stream of information."

Sell Your Soul? Or Trust Your Gut?

Peter is not a newcomer. In his 20s and 30s, he founded a B2B software company, wrote a PDF framework by hand, grew the company to nearly 80 people, eventually sold his shares, suffering from severe burnout.

During his three years of retirement, he wandered around, even going months without opening a computer—"like a normal person".

But he knew the urge to create would always return. He thought the urge was 'writing code' until it took him a year to realize: "I love 'building'—programming is just a means."

When OpenClaw exploded and his inbox filled with investor offers, he started thinking seriously. When major AI labs came knocking—Mark, Sam, and a few others called—he realized this was much more interesting than continuing to "build behind closed doors".

"I knew this was the equivalent of selling my soul.md," he joked.

But the biggest lesson he learned from burnout was: Trust your gut. And his gut told him: I prefer Open.

The Deepest Hurt Was "Entropy" and Over-Dependence

OpenClaw's real challenge came from an unexpected direction: Entropy—not the naming dispute (though that was stressful too), but the fact that he had over-optimized for their model.

He initially built OpenClaw with Codex and GPT, but most of the code was optimized for the most powerful model at the time.

When the other party suddenly notified him they would cancel all user subscriptions within 24 hours, he simply didn't have enough time to pivot.

OpenClaw did support open-weight models, but they "weren't good enough yet" back then. Early open models also "lacked personality".

"The business model of your dependency is your business model."

All issues were eventually resolved—open-weight models are now genuinely great. But people's attention had already moved on.

Ups and Downs: From 835,000 to 4.7 Million

In May, OpenClaw's weekly downloads once dropped to 835,000. After being "pronounced dead" in June, the peak surged to 4.7 million—an all-time high.

"Both these things are true simultaneously. Hype is like the weather—you can see it coming, but you can't control it. For me, it was a storm."

Fun is Speed

Peter admits: "Around February, it stopped being fun. It started feeling like a responsibility."

A person who "didn't want to start another company" found himself with two jobs at once—or rather, one job and one mission. The worst part: He stopped using his own product.

"I was making a product for 'everyone', not for 'myself'."

He says his only real lesson is: When you stop enjoying the building, the product doesn't get better. And when you enjoy it, the product gets visibly better.

"Fun is speed."

Fortunately, he met a great group of people, formed a non-profit organization, NVIDIA reached out early asking 'What do you need?', and then sent people to take over most of the security work. By May (around his birthday), that joy of "building for myself" started coming back.

OpenClaw's Reason for Existing

"Every lab will sell you an agent. OpenClaw is another option."

Open source means it can run anywhere, compatible with any model. If you run a local model, data never has to leave your device.

"Your agent, your machine, your life."

Today, OpenClaw's team has 10 people, and they are hiring for more positions like CEO. More importantly, they are finally building OpenClaw with OpenClaw again—this time with a whole new collaboration style: sessions of each team member on the team server are visible to others, coordinated by the 'Claw' for task allocation.

"We're finally leaving this weird era—where people are still working in terminals, leaving laptops on just so the agent doesn't stop."

Peter's Five Q&A Highlights

1. How to get the first 10 real users from a prototype? "The first user should be you. My 2nd to 20th users were my friends."

2. How to balance fixing annoyances vs. adding new features? "Can't just fix bugs—that makes me lose interest. Needs a healthy mix."

3. One thing you would redo? "Be less anxious about security researchers. They're great at making you feel bad—most reports are generated by their agents, not even tested."

4. Biggest bottleneck for AI tools? "Reliable toolchains. There's a huge gap between local testing and cloud testing, especially the Mac environment."

5. What product do you wish someone would build? "A really good Mac testing environment. Linux is easy, Mac and Windows are painfully unreasonable—if someone could solve this quickly and cheaply, I'd be their first customer."

Conclusion

Peter Steinberg's story isn't a talk about technology, but a story about the relationship between people and creation—inspiration from annoyance, a product born from building for 'yourself', fame bringing both glory and collapse, ultimately emerging from the low by "rediscovering fun".

OpenClaw wasn't his planned "next big thing". It started on a rainy day, with a meal, an inconvenient phone prompt. It taught him: "When someone writes your obituary, keep releasing new versions—that will confuse them."

"Live in the future, build what's missing."

This article is from the WeChat public account "Houlang Evolution Planet", author: Mark

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Related Questions

QWhat was the initial spark of inspiration that led to the creation of OpenClaw?

AThe initial spark was personal frustration. On a rainy day in November 2024, Peter Steinberg was annoyed that he couldn't easily send prompts from his phone to his computer to have an AI agent check his work progress. This annoyance led him to build a WhatsApp relay, which felt like 'magic' and became the foundational idea.

QWhat key moment signaled to Peter that his project had found product-market fit?

AThe key moment was when he shared the prototype with his non-technical friends in a group chat. They had strong emotional reactions—amazement, fear, being freaked out—and, most importantly, they *wanted* it even when told it wasn't ready for them. Peter saw their anger at not being able to use it as a clear signal of product-market fit.

QWhat was the most significant challenge or 'deepest cut' that OpenClaw faced during its growth?

AThe most significant challenge was 'entropy' and over-dependence. Peter had over-optimized OpenClaw for a specific, powerful proprietary model. When that provider suddenly canceled all user subscriptions with 24 hours' notice, it caused a major crisis. The core lesson was: 'Your dependency's business model is your business model.'

QAccording to Peter, what is the core lesson about maintaining project momentum and quality?

AThe core lesson is that 'fun is speed.' He believes that when you stop enjoying the act of building, the product does not get better. Conversely, when you are having fun, the product visibly improves. For him, losing that personal enjoyment and building for 'everyone' instead of himself was a major low point.

QWhat does Peter state as the fundamental reason for OpenClaw's existence in the current AI landscape?

APeter states that OpenClaw exists as an alternative. While every major AI lab sells their own agents, OpenClaw is open-source, can run anywhere, works with any model, and—crucially—if you run a local model, your data never has to leave your device. It embodies the principle: 'Your agent, your machine, your life.'

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Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

1.0k Total ViewsPublished 2025.01.14Updated 2025.01.14

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