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Published · transcript-backed

Claire Vo: belief

29 Mar 2026 Lenny's Podcast From skeptic to true believer: How OpenClaw changed my life | Claire Vo

“What I think is interesting about OpenClaw, in particular, is one, it's open source, which means you can actually with, pretty little effort, understand what's happening behind the scenes, which is different from a hosted solution or a closed source solution.”

— Claire Vo

Source trail

Everything needed to verify it.

Speaker
Claire Vo
Attribution
Verified speaker
Claim type
belief
Recorded
29 Mar 2026
Publisher
Lenny's Podcast

Transcript context

…Incredible. Another podcast to explore there. Okay. Something that might be on people's minds is there's all of these other kind of OpenClaw-ish products launching now. Claude clearly is trying to, instead of acquiring OpenClaw, they're just like, "We will build it." And so they're just slowly launching all of the features. There's Manus has a thing. Perplexity has a thing. What's your take on just, is it worth still working with OpenClaw and setting that up versus trying these other things? Again, it's going to be my job to look at all of these. And so I think they all have their strengths and their weaknesses. And I come with a lot of honesty on this topic when I think about models. Everybody's like, "Is there one perfect model?" No, there's not one perfect model. There's a great model for a use case. Is there one perfect agent experience? No, but everybody's going to take a run at it. What I think is interesting about OpenClaw, in particular, is one, it's open source, which means you can actually with, pretty little effort, understand what's happening behind the scenes, which is different from a hosted solution or a closed source solution. So you can go to the docs and read exactly how it works. You can go into the code, open up Deep Wiki and ask how does it schedule tasks? What's the security? And I think that's important, maybe not as an end user, but if we speak to the product audience of your podcast, so many of us are going to be starting to build Agentic experiences and Agentic products. And this is sort of a platonic ideal example of what are good fundamentals of an agent experience that feels really easy to onboard on is self-learning, self-improving. And so I saw a benefit, not just because I feel like the product experience is better, but because it's open source, it's been much more decomposable in my own mind and has upleveled my thinking about AI in general and product building, and then it has helped me kind of think about new use cases that I wouldn't have thought of before that an agent could solve. My feeling is... because I've tried a few of these things, it's just you learn so much more doing it this way, like doing the OpenClaw thing versus just press a couple buttons and you have this AI agent, and it's also just feels just more fun using it versus other products.…

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