Answered raw tape
D 4 · C 5 · P 4 · Cm 4 4.30
Q Uh, it washed you. And then, and then you got into trucking for a little bit at first. What was that?
A Yeah, so, um, I went to Wash U, which was great. They were one of the few schools at the time that let you both study finance and computer science, and I wasn't sure which direction I was going to go in, um, which is crazy to say now. Obviously, like, that's probably the most common double major you might even have today. Uh, and at the school there was this kind of small trucking company that did moving and storage, and I bought it from the kids who did it, and we turned it into sort of this large, um, institution, basically. I think they're now doing, like, 10 or twenty million dollars a year in sales. Uh, as a company, which is still there. And by the time I graduated, I think something like 10% of the comp of the college had worked for me, helping move things in and out. Um, and you know, as a VC, you probably respect this, like it gives you good deal flow. Like if everyone who knows who you are, you get to meet some really interesting people. And this kid, Michael Carter.
AI assessment note: “there was this kind of small trucking company that did moving and storage, and I bought it”
Redirected raw tape
D 2 · C 3 · P 3 · Cm 3 2.70
Q The other thing, Opendoor, so you guys were actually sometimes buying the homes because you knew that they were a commodity that you could then resell, and some people were skeptical of this, required a lot of money to buy the homes. Maybe there's, you could get stuck with a bunch of inventory. Like, how do you guys think about that?
A I, I think, like, Opendoor is a really hard business. Um, we, we, one of our core values actually was we eat basis points for breakfast. Uh, like a basis point is one 100th of a percent, and so like everyone was constantly thinking about how can you optimize every last thing in order to make the business work. Um, you know, I think one thing that AI is good at is introspection. It allows you to take large amounts of unstructured data and bring insights forward that allow you to make your business better. Um, I think today, as Kaz is going into that company, he's saying there's a million places where we can make this business better. Let's look at all of them, and let's use AI at every level of the company, Become experts at this to identify these opportunities and, and win. Um, and then also become kind of that Amazon service. Use everything we learned through that to build adjacent services and mortgage and title and all these other things that touch the customer over the life cycle of owning a home. How can AI make all those better as well? And then provide that to everybody.
AI assessment note: “I think one thing that AI is good at is introspection.”
