Grant Harvey

And we kept doing more and more of it because it was by just approaching the kind of boring problem that they don't want to have to solve, but they have to and solving it on their behalf.

Yeah.

So I'm curious.

So if I just go forward to someone like the Charlotte Hornets, we come in and we want to be asking, what are the problems that we can solve for you?

What are the things that either you don't want to have to deal with, or what are some things that you've never even thought were possible, but actually because of the advances of technology are now possible?

And a great example of this, like, so talking to the Charlotte Hornets, they were like, I mean, we love to ask this question.

Like, if you suddenly had a million entry-level employees, what problem wouldn't exist?

Or what would you try and solve?

And with the Charlotte Hornets, they were thinking, well, like, it'd be really cool if we could just watch every game of basketball in the US to assess players.

And obviously, I mean, it's probably an inefficient use of their funds to hire 100,000 scouts.

But now with, I mean, maybe I've just revolutionized basketball.

Maybe they'll be like, this is the move.

We just hire 100,000 scouts.

But I doubt it.

But instead we were like, okay, well, we can get a video camera in these places.

And actually computer vision models are now much more advanced that we can start to pull out way more relevant data from these games.

And we can start to pull out patterns and we can start to pull out sort of recognitions about the movements people make or the shapes people form.

And suddenly you've effectively got a scout in every game.

Exactly.

Because basically, historically, and this is why sabermetrics was such an interesting thing was because