Flux

“There's not a lot of value these days in trying to re-implement a lot of that stuff. So, you know, adopting either like a catalyst from tailwind or shad cn or flux, or there's a bunch of these for all the different kind of flavors of front end that people work…”

“So I think I'm going to claim here, I think we were the first engineering tool or design tool that had an AI chat in it. We shipped that I think a month or two months before GPT-IV became publicly available.”

“And so that then led us to Really like heavily invest in the agenda capability in Flux, right? And going from like a, hey, look, I can answer questions and perform single tasks to like, no, I can take a product brief, break that down into an actual execution p…”

“And when you have a design with say, 500 components, and one of them is not on stock or there's a lead time of 200 days, then the whole project has a lead time now of 200 days, right?”

“This is going to take here, 30, 60 seconds, hopefully. And it's like, this would have taken us hours to do manually.”

“So we have our own library for all these parts, over a million. That's all user generated.”

“Now we use Devon here religiously, and I think one of the most underrated features of Devon is the actual ask feature.”

“I think a lot of success depends how well you flesh out what you wanna do, right? Like if you just use this and ask it to like start here executing a plan, it's gonna be high variability in what you're gonna get back, right? But the more we go through here and…”

“We love Devin here. Yeah, I mean, I know a lot here is inspired by Devon, like the knowledge-based thing, right, is inspired by Devon, right?”

“So yeah, the average session is I think, 25 minutes.”

“So we have 7000 paying customers today. That's like, you know, it's grown, it's like 26 X versus last year.”

“Yeah, wherever you look, where there's electronics and automation, right, are coming for that, you know, and I think this is the end for most categories of the OAM model, ultimately.”

“The team at Stability left to start Black Forest Labs, which released Flux models. And that was the first model to, you know, breach the barrier of commercially usable, you know, enterprise-ready grade models”

“In the first month of flux models, we reached from, like, two million to ten million in revenue. That was, like, a big jump. Next month, we were at 20, like, it just started going from there”

“Just to give some examples, like Imogen three, Imogen four, very good at, like, character consistency. Flux, amazing at having an ecosystem of different tooling, you know, so that, like, you can just kind of use an existing workflow someone's built, you know, …”

“It uses flux. So it uses flux here. And it tells you what it uses.”

“If you want some to make something more like creative, maybe as the 3.5, if you want to make something more consistent and flux is. Probably better.”

“None of this technology that we're discussing today is in any of really in any of the big models that we know and love with maybe of maybe with the exception of flux.”

“Flux is basically a new language that we're creating for two dot O. It's a combination of a bunch of things. It's basically a query planner, it's a query optimizer, but it's also a Turing complete scripting language, which includes a virtual machine, And a que…”

“And we also are in the middle of building in support for PromQL, the Prometheus query language.”

“It essentially turns the database into a serverless execution platform for time series data. The idea is you can define any sort of custom logic that you want, inject it into the database, and it will periodically run that logic over the data that you're writi…”