Mike Stonebraker

And so the idea is that you want to make state

of your application persistent when you put it in the database.

And then you figure out how to do it fast.

And I think there,

business model, as we were talking earlier, is very much get leaf level programmers interested.

So it's been very much, you know, tell us leaf level programmer, tell us what you need that we don't have, get it quickly and convince people to try it.

And

We've been very, very successful with other startups who want to choose the best thing.

And we're starting to be successful with the big boys.

So it's an interesting market.

And I think the key thing so far is...

probably two-thirds of the customers are doing agentic AI, which means that they have a large language model surrounded by a bunch of stuff that adds more signal.

And so far,

Most of agentic AI is read-only, meaning you want to produce a prediction for whether Ryan is going to be a good customer or not.

And so that just runs some stuff and then produces a new thing that's given to somebody.

So basically read-only, which means that you're not actually updating Ryan's credit rating.

And so I think fairly quickly, the whole world is going to move to using agents to do read-write applications.

And that's going to make them very, very databasey.

And DBoss does that stuff really, really well.

And so, you know, for instance, if you want to write an agent or two agents that move $100 from my account to your account.