Clay Bavor

speaker

1,248 appearances 2 recordings 2 series first heard Jul 2026 last heard 4 Jul

Clay Bavor’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 2 in all, peaking in Jul 2026 with 2.

Appearances

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 20VC: Open Models vs Frontier Models: Who Actually Wins? | The $100,000 Token Budget Every Engineer Will Need | Why Forward-Deployed Engineers Are the Future of Enterprise AI with Clay Bavor, Co-Founder of Sierra · 4 Jul 2026 podcast

And then in late 22, kind of the planets aligned in a way that I didn't think that they would probably align again.

I'd always wanted to start a company.

I started a very modest company when I was 13 years old and always thought I would start another.

And if you're going to start a company with someone, you want to make sure that they are excellent in competence and in character and and then that the timing is right.

And we could see that language models were going to be a thing and

If ever there's a time when the proverbial deck of cards are shuffled in the favor of smaller companies, it's when you're at the advent of the new technology.

So happy at Google, planets finally aligned and took the leap.

And we're, I don't know, three years and change in now.

18 years at Google is one hell of a stint.

Yeah.

Well, I started counting in colleges.

Gosh, I've been there one college, two colleges, three colleges, four colleges.

Yeah.

It's a long run.

It's such an interesting question.

Of course, the scale of a two and then 10 and then 100 person enterprise software company is very different from, I think when I left Google, it was roughly 150,000 people.

Things that I've definitely brought with me, number one is a willingness to invest as far down the technology stack as you need in order to build the service and product that you want.

Google, I think from the early days, famously built its own, if not data centers, cluster architectures, and they were the first really to use commodity hardware.

That required building novel distributed systems for serving and data storage and so on.

And so we could see that language models as early as April of 23, when we started the company, that agents were going to be a thing.

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