Alessio Fanelli: belief

Transcript context

…s me punch the cards a little bit faster, because I have a machine punching them for me. But like, when there's a bug, I still have to go read all the punched cards and figure out what's wrong, right? It's like, it's a lot of work, actually. And so, for us, that was the sort of initial idea was, can we help engineers code faster? You know, I think it's somewhat helpful, to be clear, like, again, I think it's 10 or 20%. So we have things like, you know, you can generate school careers by AI, you can generate UIs by AI, and stuff like that. So that's cool, to be clear. But it's not, I think, the step change, that I think is, you know, the, we're investing somewhat in that. But the bulk of investment, actually, is a number two, which is helping developers build AI enabled applications faster. And the reason why we think this is so exciting is we think that practically every app, every internal app, especially, is going to be AI infused over the next, like, three years. And so every tool you might imagine, so like the tool you were mentioning, like a sales operations tool, for example, probably, you know, if you were to build today, one of the corporate subform of AI. And so, you know, we see today, like, for us, like, a lot of people build, you know, I'll say sales manager tools, or retool. An example is there's a fortune, like a company is building like, sales forecasting tools. So they basically have salespeople enter their forecast, you know, for the quarter, the beginning of the quarter, like, hey, I have these deals. And these deals are going to close, these deals are not going to close, you know, I think I'm upsiding these, downsiding these, stuff like that, basically. So you can imagine it's pulling in deals from your Salesforce database. And so it pulls in the deals that actually use AI to compute like, okay, well, you know, given previous deal dynamics, like, these are the deals that are more likely to close this month versus next month was this quarter, next quarter, etc. And so it could actually, you know, pre write you a draft of, you know, your report, basically. And so that's an example where I think all apps, whether it's, you know, a sales app, you know, until it looks like fraud app, a, you know, fintech app, you know, whatever it is, basically, especially internal apps, I think, like you said, Alessio, in order to make you more productive, it's going to incorporate some form of AI. So the other question is, can we help them incorporate AI faster? So that's why we launched like a vector database, for example, built directly into retool. That's why we know launches all these AI actions, you don't have to go figure out what the best model is and do testing and stuff like that, which gives you out of the box. So for us, I think that is really the really exciting futures. Can we make every app and also retools use AI a little bit and make people more productive? So for Wang, who's the co founder and chief architect of amplitude, he mentioned that you just use Postgres vector. When you were building retool vectors, how do you think about, yeah, leveraging a startup to do it, putting vectors into one of the existing data stores that you already had? I think like, you're really a quite large customer scale. So like, you're maybe not trying to get too cute with it. Any learnings and tips from that? Yeah, I think a general philosophical thing I think we believe is, um, we think the open source movement in AI, especially when it comes to all the supporting infrastructure is going to win. And the reason for that is we look at like developer tools in general, especially for such a fast moving space. In the end, like, there are really smart people in the world that have really good ideas, and are going to go build companies and they're going to go build projects basically around these ideas. And so for us, we have always wanted to partner with maybe more open source providers or projects, you could say, like PG factory, for example. And the reason for that is it's easy for us to see what's going on under the hood. A lot of this stuff is moving very fast. Oftentimes, there are bugs, actually. And so we can go look and fix bugs ourselves and contribute back to them, for example. But we really think open source is going to win in this space. It's hard to say about models. I don't know about models necessarily, because it's going to be pretty complicated there. But when it comes to tooling, for sure, I think there's just like so much, there's an explosion of creativity, if you will. And I think betting on any one commercial company is pretty risky. But betting on the open source sort of community and the open source contributors, I think is a pretty good bet. So that's why we decided to get at consumer games. Awesome.…

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