Alessio Fanelli: preference

Transcript context

…Yeah, this past- I mean, every week has been kind of a blowout week as far as- Is it TikTok? We're digging into the degree that we can of just like where all this stuff's coming from. I mean, there's a ton of word of mouth, right? So that you can't- which you can't just like look by refer, right? So there's a ton of direct. But yeah, I mean, there's a lot of TikTok. There's a ton of YouTube. It's kind of, I think, been a sensation in the sort of like entrepreneurial, build your own SaaS, indie hacker, even developer circles. And I think, too, our team's been doing a really good job. Our folks just kind of like flipped a switch. And people were just working through the weekends or whatever to get stuff fixed. And so the product- and you'll see people say this online. Like today, there was a tweet. Someone was like, yeah, I tried this like the first week and I couldn't get whatever to work. Came back today, six weeks later, and this is ridiculous. Like this is so good, right? And so I think there's been an incredible amount of improvement to the product, to the agent, also to like the underlying models, too. Like Sonnet, they just happened to do an update with their release a couple of weeks ago. And so when we put our new agent online and the new Sonnet, we saw a huge bump in conversion just based on that. And so yeah, we've gone at that. When we were chatting, that must have been three weeks ago, maybe an average of 100K ARR per day. And this week, I will see- I've said this every week, but we'll see if it holds. The past couple of days have been like half a million of ARR per day, which is insane. I think today we've had peak traffic, just kind of set the previous- and that's kind of been every day this week. But anyways, yeah, I think things just continue to accelerate, which is kind of blowing my mind, because it's just the sheer numbers of this stuff are just mind-boggling. I think you almost suffered from the Twitter demo issues that other people had. The first time I saw Bolt, I saw the demo and I was like, oh, that's cool. I didn't go to try it because I was like, I've seen so many of these that it's like, I don't know if it's actually going to work. And then two days ago, I signed up to use it. I was building a Luma replacement. I'm done with Luma. And I was like, man, this thing really works. And I already knew you, of course. I was like, man, this thing really works. What the fuck? I was like, it's actually, I don't know if it's like the model, if it's like how you prompt it, but it's so good at coming up with the simplest thing to implement. So the Luma example, right? So first I was like, create a RSVP page for an event and it created a wedding RSVP. I don't know if it's your fault. I don't know if you bolted it. And then I was like, well, now it needs to have a way to create more events and added that. And then I was like, now it needs a way to like have an admin page to modify event. And maybe what I would have done as a developer is like, well, I'll create a different like admin view, you know, with all the events and then I'll have like the front end thing. And instead what it did is like, it created like a admin view with toggle on top and then like just a pencil button on every page to edit them in line, you know, and that was it. And I was like, yeah, that works just as well. And like for the model, that's probably the simplest way to do it because it like limits the amount of files that are there. Can you talk just more about how much of this is like the model coming out with it, how much you're prompting it to kind of like be very like compressed and concise. A ton of it is the model, but I think what's interesting though, is you're kind of baseline model. If I just like, if it's kind of like try and put it into like a, you know, way, if you had to quantify, quantify, you know, the effect is obviously the model is like this sort of like 10X multiplier. You're how good the bottom line model is huge, huge swing. And then kind of what you can do on top of that, you can squeeze out three, four X kind of more. And so that's kind of where the realm of, you know, prompt engineering and multi-agent approaches, et cetera, kind of kick in. And so I think, I think with us, you know, our folks, like the guy on our side that, you know, led the web engineering, like that kind of our core technology for the past, you know, seven years here, you know, his name is Dominic Elm based out of Germany and he was one of the founding engineers of the company. You had previous to StackBlitz, he actually was doing machine learning and he basically had built a StackBlitz, like online ID for machine learning. So I think like, I kind of like Google Colab sort of thing, or like Hugging Face has their kind of version of this. Back in 2016, it wasn't as much of a market for this stuff, but he had been doing a lot of, you know, training, you know, ML models and that sort of thing. So I guess, you know, as we began, you know, kind of digging into AI stuff over the past year, he's been kind of leading that off. And so a lot of it, I really attribute to Dom's specific angle, cause he has deep understanding of our technology and how it works. Cause he's, you know, led the engineering on web container, but as you know, deep understanding of how these models work going and actually kind of writing out these you know, whether it's like the, the, the prompt engineering aspect of it or multi-agent or whatever, have you, you know, that's sort of like that much context. And, and the, and the other folks on the team are, are, you know, in the same, same sort of spot that have been working on this stuff. I think we'd be able to squeeze out a lot more than I've seen almost anything else out there, at least in the term of building web apps, at least. But I guess I think it's, I think it's kind of just because we we have more context on, on a fewer number of heads at the company. So we can kind of connect the dots of it faster, you…

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