Ajay Kulkarni

And I remember one of them was like, hey, I think of you as a better Postgres.

I don't think of you as just a time series database.

I think of you as my main, you are our main database.

You are 50% of our cloud spend.

You are our main database.

because you were a better Postgres.

And then we realized what we had built was not just a better time series database, but a better Postgres.

And we kind of expanded that better Postgres theme by adding vector support and better native AI support.

And we got to the point where this year we realized, hey, we keep calling ourselves timescale and people view us as a time series database, but we had already become something more than that.

It's as if Amazon.com has started off as books.com.

And you're like, hey, books.com, we also sell CDs.

People would be like, yeah, but you're books.com.

Hey, we also sell socks.

Yeah, but you're books.com, right?

And that's what Timescale was.

Timescale was like, yeah, you do AI, but AI with time series, right?

And we're like,

Well, no, like a J.I., you know?

And I think, you know, our first attempt was trying to make timescale mean more than time series.

Like, you know, when it's time to scale.