Victor Riparbelli

so many random things like how elevators work to black metal in Norway to like how people make technology like all these kind of different things and I kind of used to be a bit annoyed at myself like why can't you just sit down and become like you know the world's best music producer or like the world's best programmer or AI researcher or something like that and I think now I've realized that my power is actually the fact that I'm like decent at like a lot of things

so many random things like how elevators work to black metal in Norway to like how people make technology like all these kind of different things and I kind of used to be a bit annoyed at myself like why can't you just sit down and become like you know the world's best music producer or like the world's best programmer or AI researcher or something like that and I think now I've realized that my power is actually the fact that I'm like decent at like a lot of things

I think especially in my role, right, what you do is you make decisions and you get ideas and you can't force those things. I think I really truly believe that those come from your subconscious. And the more food and diverse things you put into your brain, the better you get at like making analogies and pattern matching and those kind of things.

I think especially in my role, right, what you do is you make decisions and you get ideas and you can't force those things. I think I really truly believe that those come from your subconscious. And the more food and diverse things you put into your brain, the better you get at like making analogies and pattern matching and those kind of things.

I think especially in my role, right, what you do is you make decisions and you get ideas and you can't force those things. I think I really truly believe that those come from your subconscious. And the more food and diverse things you put into your brain, the better you get at like making analogies and pattern matching and those kind of things.

So I did a degree in kind of split computer science and business at university. And I really kicked myself not just taking a STEM degree, like a pure CS degree. Studying business, controversial opinion is like mostly useless. There's basically like 10 ideas in business. And if you learn those, you'll be pretty well covered.

So I did a degree in kind of split computer science and business at university. And I really kicked myself not just taking a STEM degree, like a pure CS degree. Studying business, controversial opinion is like mostly useless. There's basically like 10 ideas in business. And if you learn those, you'll be pretty well covered.

So I did a degree in kind of split computer science and business at university. And I really kicked myself not just taking a STEM degree, like a pure CS degree. Studying business, controversial opinion is like mostly useless. There's basically like 10 ideas in business. And if you learn those, you'll be pretty well covered.

I should just do like a pure CS degree or pure math or engineering, something like that.

I should just do like a pure CS degree or pure math or engineering, something like that.

I should just do like a pure CS degree or pure math or engineering, something like that.

I think that one of the things I've changed my mind on in this whole AI hype cycle, I think when you're in the middle of these cycles and you see all these things getting funded, all these competitors pop up, you get a lot of noise and a lot of like, oh, should we do these things? Should we listen too much to what the market says? Someone is doing this over here.

I think that one of the things I've changed my mind on in this whole AI hype cycle, I think when you're in the middle of these cycles and you see all these things getting funded, all these competitors pop up, you get a lot of noise and a lot of like, oh, should we do these things? Should we listen too much to what the market says? Someone is doing this over here.

I think that one of the things I've changed my mind on in this whole AI hype cycle, I think when you're in the middle of these cycles and you see all these things getting funded, all these competitors pop up, you get a lot of noise and a lot of like, oh, should we do these things? Should we listen too much to what the market says? Someone is doing this over here.

And I think I've just really learned the lesson again, although I think we've stayed the course really well, to never do things out of guilt of other people doing it or looking too much at competitors. or what the broader kind of AI landscape is doing. Listen to the customer. They're the ones who pay your bills, and ultimately, they're the ones that you need to make happy.

And I think I've just really learned the lesson again, although I think we've stayed the course really well, to never do things out of guilt of other people doing it or looking too much at competitors. or what the broader kind of AI landscape is doing. Listen to the customer. They're the ones who pay your bills, and ultimately, they're the ones that you need to make happy.

And I think I've just really learned the lesson again, although I think we've stayed the course really well, to never do things out of guilt of other people doing it or looking too much at competitors. or what the broader kind of AI landscape is doing. Listen to the customer. They're the ones who pay your bills, and ultimately, they're the ones that you need to make happy.

I had a period where I maybe over-indexed a little bit too much on what other companies are doing as the AI space in general, what's happening there as the most valuable signal, as opposed to the customers. Maybe more like a relearning of a fundamental lesson in building startups.

I had a period where I maybe over-indexed a little bit too much on what other companies are doing as the AI space in general, what's happening there as the most valuable signal, as opposed to the customers. Maybe more like a relearning of a fundamental lesson in building startups.

I had a period where I maybe over-indexed a little bit too much on what other companies are doing as the AI space in general, what's happening there as the most valuable signal, as opposed to the customers. Maybe more like a relearning of a fundamental lesson in building startups.