Dalton Caldwell

Y Combinator Verified account @ycombinator · 2d

Congrats to @getreflex (W23) on their $14M Series A! They build the platform companies use to create custom software around their own operations.

Reflex started as an open source framework for building web apps in pure Python. Now the same platform takes a business problem all the way to a working app, with AI writing the software and Reflex engineers putting it into production.

The open source framework has now passed 29,000 GitHub stars, powers internal tools at ~30% of the Fortune 500, and has been used to build more than 1 million apps.

reflex.dev/blog/series-a-…

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DataVendor @datavendor_ai · Oct 22

We're announcing the public beta of datavendor.ai

We spent the last two years building the best solution for people buying and selling data, whether you're a researcher in a lab or a company trying to sell data.

Data is the fundamental bottleneck for AI progress, and DataVendor will be the infra that solves it.

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Eric Rea Verified account @ericwilliamrea · Oct 22

We built a $150M ARR business twice.

The first time took 8 years. The second took 2.5.

Today, Podium crossed $150M in AI annual recurring revenue.

Three years ago, we already had a great software business. Well over $100M in revenue, tens of thousands of customers, and a product we'd spent nearly a decade building.

And we decided to start over.

The business was performing well. But we believed AI was going to fundamentally change the software industry and make much of traditional software obsolete.

As a founder, you pour your life into what you're building. An insane amount of time, sacrifice, and effort. The hard part is not getting too attached to it.

When we started building our first AI agents, we had to confront the possibility that much of what we'd built might not be that valuable in the future. That's a tough pill to swallow.

But we also realized those same 10 years had put us in a unique position to take advantage of what AI could do for our customers.

Instead of protecting what we'd spent a decade building, we decided to bet the future of the company on AI employees that actually do the work for our customers.

We massively underestimated what we'd signed up for.

We ended up building entirely new operating systems for the industries we serve, from the AI agents all the way down to the systems of record. Now customers run their entire businesses on Podium.

Reinventing our product wasn't even the hardest part. We had to reinvent how the entire company operated.

When you've been running a company for over a decade, the operational inertia is incredibly powerful. We had to rethink how we build products, how we sell, how we serve customers, and how we run the business.

We effectively started a second startup inside an already successful company. And we're still at the very beginning.

Today, we have 20,000 AI agents working for our customers. They've helped generate more than $13 billion in revenue for those businesses. And we're barely scratching the surface of what AI will be able to do for them.

And we've done all of this while becoming profitable and generating free cash flow. We're building Podium to be around for decades.

Huge credit to our team for having the guts to make this bet and the ability to actually pull it off. We still have a long way to go and tons of problems to solve, but it's so damn fun to be winning when the opportunity ahead is this big.

In the age of AI, you can either disrupt your own company or wait for somebody else to do it.

I'd rather do it ourselves.

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