Lenny's Podcast: Product | Career | Growth
01:12:28 · Roman Ugarte
[01:12:28] S0: Yeah, there's a lot of talk about moats and it is a pretty interesting moment in time to be starting a company. So I can understand why so many founders are kind of asking themselves that and trying to project out 12 months from now, 24 months from now, it just feels like an eternity. I will say that I think if Cursor and many other successful companies of this kind of vintage, I think if they had thought about moats/kind of tried to work backwards from some strategy diagram or a maybe more abstract notion of how a company should work, I don't think that would've created this outcome or this product. I think what really created the magic of Cursor was an obsession with building a useful thing today. And I think it was constantly this exercise of you can kind of see where the world is going three months from now, six months from now, models are going to get smarter, a thing that isn't solvable now is finally going to be solvable. And I think Cursor was a little bit this recurring prompt of how could we pull that stuff to today, even if it requires a little bit of engineering on top to make it work or a lot of engineering on top to make it work, even it requires changing the product in a specific way so a user can interact with this new capability. How can we bring that forward? And then three months from now, we should delete all that stuff because it'll just be good and basic common bare minimum of the product and then we'll build the thing for three months from then. And then it was constantly just doing that over and over again that I think led to users really trusting us and placing their time inside of our product and trusting that we were kind of bringing things to this next frontier and to the next future. And so I would really encourage many founders or people starting out today to be more grounded in that perspective of how can I make something that is not possible now possible? Users are going to come to me to use that thing. I'm going to pull them to the next impossible frontier. And then through all of that, I'm going to gain a lot of distribution advantages. I'm going to gain data advantages. There will be value there, but I think that's really the place to play.
01:14:49 · Lenny Rachitsky
[01:14:49] S1: I love that answer. Essentially, the way I'm thinking about it is just build something people are obsessed with, don't overthink the moats piece. And if you can continue to do that, you'll find something which in Cursor case ended up being a few things completely. And that came up actually recently on another podcast I did, I don't know if it'll come out before or after this, this idea that moats are discovered, not planned ahead of time a lot of times. Okay, let me actually ask you for Grok Bot tips as an actual last question. Some people are going to be like, "Oh, shit. I got to try this thing. What's all this excitement all about?" What would be some advice for folks that are trying out, let's say for people that are new to it, just like here's some keys to success and maybe some power tip for someone that's already with it and just like, "Oh wow, I didn't know that"?
01:15:31 · Roman Ugarte
[01:15:31] S0: Yeah, I want to stay away from the super hacky pro tip stuff because I think our philosophy as a team and as a company is that those things really shouldn't exist. There shouldn't be all these crazy knobs. You should be able to delegate something to Grok Bot and they should do it. And so what I would encourage for someone new who's just downloading the app, you're looking at the screen, I think the first thing is give Grok Bot the context it needs to be successful. So in a similar way as if you were onboarding someone to your team, it'd be really helpful for them to have access to Slack and your email and the company records that you use every single day. So I'd give it access to the tools and then I would actually ask Grok Bot what it can do for you and let it kind of go through those connections that you've initially set up. In my case, it might be I give it my email, I give it Slack. And I was really surprised when I was first onboarding. We didn't have any onboarding screens at this time, so this was kind of the first task I gave it, was go through my Slack, go through my email and suggest five things that you can take off of my plate and what it would take for you to do that. And it suggested five and two of them were actually really helpful and I just immediately spun off two bots to solve those two. And that was my big wow moment of feeling like no other AI tool in the past could have done those two things. It was not like draft an email, it was like do a chunk of work. And so I'd encourage people who are brand new to do it that way. And then for people who are not brand new, I kind of am constantly finding new patterns for ways that my bots can interact with each other and can collaborate with each other. And so I've been creating a bit more of a scaffold of where these artifacts that Grok Bots create should live and how it can write to a place that's very legible to me. So I have these frequent digests that I read every day and it kind of pushes to a database and I can just read it very easily. And so I would encourage power users to think about ways that Grok Bot can actually write to a single store where you can organize a lot of its outputs much easier.
01:17:49 · Lenny Rachitsky, Roman Ugarte
[01:17:49] S1: Damn. We need another episode of going deep on Roman's Grok Bot setup, which probably has way too much private sensitive information we can show it. Okay. That's an amazing tip. Roman, is there anything that you wanted to share or anything else you wanted to touch on before we get to our very exciting lightning round? [01:18:09] S0: Nothing else on my side. [01:18:10] S1: We covered so much ground. I can't believe that was only an hour and a half-ish. I felt like we've been talking for ages and covered everything I was hoping to cover. With that, we've reached our very exciting lightning round. I've got four questions for you. Are you ready? [01:18:22] S0: I am ready. [01:18:24] S1: What are two or three books that you find yourself recommending most to other people? [01:18:28] S0: Yeah, so two books for you. One is I love Kurt Vonnegut. So Cat's Cradle has been a fun recommendation and a copy that I bought many friends before. And then second is The War of Art by Steven Pressfield that I find myself frequently coming back to even if it's just a page or two at a time and I'd recommend for anybody. [01:18:51] S1: War of Art, incredible. It's such a short book and it's like once you read it ... And it's not The Art of War, which is what people might think they're hearing. [01:18:58] S0: Yes.
01:18:58 · Roman Ugarte, Lenny Rachitsky
[01:18:58] S0: Yes. [01:18:58] S1: But it's the War of Arts to play on that and it's about the challenge of being creative and creating something new and how to overcome the resistance. I love that recommendation. Next question. Favorite recent movie or TV show if you've had any time to watch any of these things? [01:19:14] S0: Yes. Recently, so every year I do a watch of Casablanca, which is one of my favorite movies. And it incidentally also has a character with my last name, Ugarte, which is the only example of I think a Ugarte in the media. So Casablanca, always a great re-watch. And then on the TV side, I sometimes sneak in an episode of Monk, the detective show, which was one that I watched as a kid with my family and I've come back to now that I live in San Francisco. And it's just a great moment in time snapshot of San Francisco in the late '90s, early 2000s when it was shot that I really enjoy. [01:19:57] S1: First Monk reference on the podcast. Okay. Favorite or most interesting AI product right now? You can say Grok Bot if you want, but if there's anything else, you get bonus points.
01:19:57 · Lenny Rachitsky, Roman Ugarte
[01:19:57] S1: First Monk reference on the podcast. Okay. Favorite or most interesting AI product right now? You can say Grok Bot if you want, but if there's anything else, you get bonus points. [01:20:08] S0: I've always been a big AI semantic search nerd. I love any SEM search product, especially the kind of out of the ordinary ones. So I was a very early user of Metaphor at the time, which became Exa, and I love using Exa to do all of these maybe more strange queries over the internet. But I see a lot of examples of people building semantically search over an embedded image store of the MoMA or things like that. And I always have so much fun playing with those. So anything semantic search engine over a weird data set, I love. [01:20:47] S1: And Exa in particular is one you'd recommend? [01:20:49] S0: I love Exa, yeah. [01:20:51] S1: Very cool. Okay. Favorite life motto that you often come back to in work or in life? [01:20:56] S0: Not as short as a single motto, but I love the Desiderata, which I don't know if you've read, but I have it on my door and I've had it since I was a teenager and everywhere I move, I kind of paste it there and it's a very short poem, but each line, I find myself finding something new in it every time I read it and I find it really grounding.