0%
0/1 resolved calls right
1 scored · avg 5
◆ 2 sources
4
companies · 23 data points
one milestone we're trying to hit this year is to be able to tell an agent i want like a login page or something like that like just one feature that's very concrete that developers do every day and for that agent to be able to fork off your environment which is very easy to do in replit and for you to be able to watch it and go and try to build that and run into errors or recover from those errors and then come back to you with the code saying here i finish it
Replit's valuation could reach up to $100 billion.
What happened: Replit has not reached a $100 billion valuation; its most recent public funding rounds valued the company at around $5 billion, far below the predicted amount.
Verify at source ↗They're like a mere sort of wrapper over Anthropik, perhaps even losing money on the Anthropik spend. It's actually more expensive than many products on the market, if not most.
we ditched our own models. We, we didn't have hundreds of millions of dollars to train these really large models.
With Replit, most of the time, I mean, sometimes we mess it up, but most of the time, or aspirationally, what we want to do is like, we only want to present a working application to you.
when ChatGPT happened, we came out with this product called Ghostwriter, and it was kind of a co-pilot like product, but it was, it wasn't satisfying because our customers coding is still hard for them and boring and not really something they're excited about.
we were the first startup to train a model, an open source model. We actually did it in 2022, even before the sort of ChatGPT moment.
you know jason the way we think about competition and the way we think about just the landscape in general is that we really want to be the place where people create and so if you help people create we want to partner with you so if you're hugging face and you're helping people create uh ai uh by hosting models um and by training models then developers on repli should be able to use those models right from hugging face so in a lot of ways repli becomes this positive sum playground for everyone t
in a solo entrepreneur perspective it it 100 is and what we're seeing of our customers i mean we we we have um this uh this guy on twitter actually he built uh 250k arr business on repli and he didn't know how to write any code coming into this he just used chapter gpt and repli and ghostwriter and other tools to kind of figure out how to write the code himself he doesn't even know how to use git and he built this huge business uh for himself doing that and obviously that would not be possible w
on a kind of a company scale level i i like i don't think we've seen a huge productivity improvements and again that's because the thing that is lost between actually writing the code and and actually deploying a product there's everything that happens in between that ai hasn't touched yet and this is why we're really excited about it because even if you make the individual developers slightly more productive by you know making it easier to generate code it still doesn't translate you know very
you know the again on an individual developer perspective we see our developers are a lot more engage a lot happier and a lot excited about writing code because you know it just removes a lot of the drudgery of writing code
we're we're at the bleeding edge of it and we make a lot of the major some some major contributions to the field as well
one of the things that i found challenging when i talked to to these developers is that landing their first job is actually quite quite difficult uh because people want experience and all of that but a lot of these people when you look at their profiles when you look at their repli profiles that are actually better than a lot of silicon valley engineers so what is the best way to show that they're better is to create a platform where they have real work for real customers or real clients availab
we put it out and in a matter of months it reached a million annualized gmv we should have sort of hit on something it's basically we had this backlog of developers that are hungry to do work and show
one milestone we're trying to hit this year is to be able to tell an agent i want like a login page or something like that like just one feature that's very concrete that developers do every day and for that agent to be able to fork off your environment which is very easy to do in replit and for you to be able to watch it and go and try to build that and run into errors or recover from those errors and then come back to you with the code saying here i finish it
replet i think is very well positioned because replet is full fully bundled environment so from your first line of code to your first deployment to your scale deployment so we take the entire software life cycle and we package it in one place now we can inject ai exactly at the right places to be able to help you in this crucial moment when when you get it when you get this crash of production
replets initial product was that not only we're going to make this uh ide on top of open source software everything from the ground up is open source uh that we're building on but also we're going to put it in the browser or we can make it so easy you're going to go again like your friend anyone today is like interested in kicking the tires doing something with software you just go to replet sign up in a few minutes and you have an environment
typically you have to go learn AWS, you have to go learn GitHub, VS Code, whatever. We're bringing all that, now one screen.
Yeah. We're hiring software engineers, hiring community managers. We're starting to think about a marketing position.
one place that I feel like it's not democratized, and now Replit is working and democratizing, is deploying to the cloud.
on Replit, it's a full stack environment. So, you can build using Flask or Django or Node.js or what have you, and it's all in the same environment. So, you have the backend and the frontend and the IDE and the output for that all on one screen.
And so Replit is designed in a way to encourage that. So we have a community angle where anyone can publish an application, and not only an application, but its source code as well. So, you know, in GitHub, you can publish source code. But on Replit, you can publish the source code and the application. So I can see how you built it, and I can play with it. And then we have this big button called fork, right? You can click fork, and you have a copy of that application, and now you can tinker with
So it's from the ground up, collaborative cloud environment and runtime.
And so REPLIT multiplayer, the technology, is connecting multiple people to a cloud instance, to a cloud container, and they're both not only collaborating on the code and the text like Google Docs, but they're also executing the same code. They're collaborating on the same application.
So we do own Replit.com. Right. At some point, we'll move to it. But it's just, yeah, it was like a fun thing. We were, when we're thinking about the company and the product, it started like a project, a side project. And so the name comes from this old-school concept in programming called Read, Eval, Print Loop.