Inside $180B Co-Founder's AI Agent System

I sit down with Furqan Rydhan, a founding team member of Applovin and cofounder Founders Inc, as he walks me through Nebula, a Slack-like workspace where every channel holds an agent that can execute real work across the tools teams already use. We watch Nebula create and edit a Google Slides deck end-to-end, including generating an image and handling failures by retrying until it lands. Furqan shows how Nebula turns one-off work into repeatable “recipes” with scheduled triggers, like adding slides daily or publishing blog posts multiple times per day. We also talk about what “business-in-a-box” looks like in the AI era; where direction, taste, and quality loops become the edge as automation gets widely available. Timestamps: 00:00 – Intro 01:51 –Building useful agents for real work 03:34 – Nebula: a Slack-like agent workspace 05:04 – Demo: Nebula creating a Deck with Google Slides 13:25 – The “business in a box” content dream (newsletters, affiliates, ads) 14:39 – Demo: Automate Blog Posting 15:52 – What stays valuable when everyone automates 21:23 – Agent workforce and Building quality loops 25:38 – Services and agencies: delivering work with fewer humans 28:53 – Final Thoughts Key Points I watch Nebula run like “cloud code for everything else,” automating real work across tools and workflows. Agents turn one-time actions into repeatable systems via triggers and schedules. The interface mirrors Slack because work already lives in channels, threads, and context. Quality becomes the differentiator: critics, scoring, and iteration loops upgrade outputs over time. Service businesses and agencies scale faster when agents handle production-heavy tasks The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND FURQAN ON SOCIAL Furqan's X: https://x.com/FurqanR Fuqan’s personal website: https://furqan.com Nebula: https://www.nebula.gg

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Greg Isenberg?

  Sam Altman predicted the one-person, $1 billion startup powered by AI. And I think we're starting to see a glimpse of it. My friend, Furcon, he used to be the co-founder of AppLovin. And AppLovin is like a $175 billion company. And what's cool about Furcon is he is always tinkering. And today, he's doing a little bit of a show and tell. He hasn't done this anywhere, but he's working on this agent platform called Nebula. And he wanted to show it to me, and he wants to show it to you because it's a platform for you to take your ideas and build a one-person business powered by agents. So think about creating a blog that creates content for you three times a day based on X-trends.

• 0:41Greg Isenberg?

  I think that's a glimpse into where the future of building a one-person business powered by AI looks like. So today, I'm excited that Furcon came. He shared his product. He shows how it works. And what I hope is it gets your creative juices flowing for how you can create a one-person business powered by AI agents. Let's get right into it.

• 1:13Greg Isenberg?

  You are in for a special treat, everyone, because Furcon, he really is my go-to guy when it comes to tinkering with new technologies. He's, I've known him now for, you know, over 10 years. And this is a guy who, when he speaks, I listen. So thank you, Furcon, for coming on the show today. Furcon, by the end of this episode, what are people gonna learn?

• 1:40Speaker 01

  Like you said, I'm a tinkerer. So my nights and weekends are really just playing with new technologies. You know, the last few years, AI and agents can't pull away from it. So I'm gonna show you like some of the power that's already there in the world and how you can leverage it and how you can use it to just accomplish more, get things done that are in your mind and you don't know how to do them. I feel like capability wise, we're in the age of abundance. So hopefully I'm gonna show you a bit of abundance.

• 2:12Greg Isenberg?

  That's what I want to hear. All right, let's get into it.

• 2:15Speaker 01

  Sweet. So I'm gonna show you, like basically like I was saying, I've been tinkering for, you know, many years now around AI systems, LLMs, agents. The last few months, though, it kind of did become more obsession than just tinkering. You know, and mostly because I had built up all of these agents to do very, very useful things for me like, you know, like you, like I do a lot of stuff. There's a lot of slack. There's a lot of people. There's a lot of like activity going on. You can't keep up with it. So you let it go, you delegate, you move on, but then there's just like things I do want to get my hands in and, and how do I do more of that? And so I built up a bunch of agents myself. I had kind of like an opinion on how I wanted them to work.

• 3:00Speaker 01

  And what kinds of things they wanted to accomplish, like where should you just go full send and where should you dial back and ask me? And then I was like, wait a minute, as I'm telling people, this is pretty useful. And the obsession was just like, maybe I'm just gonna make it a product that I can use. So I'm customer one, but I also think other people can use it and it's very useful. It is rough. So this is, you know, one of those I'm showing you something that's, we're gonna see some breaking points, but I do think I can show you kind of some of the cool ways that I'm approaching the problem, but I'm gonna screen share right here.

• 3:35Speaker 01

  So yeah, this is, uh, this is Nebula. That's, that's kind of what I've been calling it. And you'll notice first that it looks a little bit like Slack and it's got these channels here. And I think my goal was like a lot of work happens in, in Slack and this kind of messaging experience. And I wanted to just mimic that, except everybody in here is an agent and can help me get work done. And you know, I'm an engineer, you know, I spent a lot of time in the technical side. I got things like Claude Code and Cursor and Codex that I leverage to make my coding so much more powerful, so much more impactful. And you know, I wanted to make

• 4:16Speaker 01

  All the other work feel the same. And, you know, a lot of it to me lives in the cloud. It's services that we use like GitHub, Slack, linear notion, Google stuff. And like, a lot of work just happens there. And I think flow wise, it feels similar to how I engineer things when I'm developing, but there aren't the tools in the same way. At least in the AI front, at least, you know, what I felt that that we're solving that. And so to me, in many ways, this is like Claude code for everything else, like, you know, for the non-engineering tasks, for all the other work that I want to get done.

• 4:48Speaker 01

  Until we mimic Slack, you have these kind of channels, you can, you know, kind of create things. We'll do, you know, some sort of a test where we can, you know, connect to, you know, Google slides test, kind of show you like how you could, you know, kind of do that. And so if I was just going into a channel and I'm like, you know, I want to connect to Google slides. Can you create a new slide for?

• 5:20Speaker 01

  And, you know, this idea is Nebula is this agent, it, you ask it to do stuff, it will do things. It will try to figure out however to do it. And it has all the knowledge of the internet, it can search, it has a browser, it can find things, it could look up documentation. And then we gave it the ability to write code. So it will write code for you that it can, you know,

• 5:44Speaker 01

  you know, help, help accomplish tasks. So even if you don't know how to write code, it knows how to do that. It can execute it. And so in this case, it did make this presentation. That's a brand new one. And I'll kind of pull it up here as we're editing it. And so it now made this presentation. I am not going to touch the presentation directly. And I'm just going to have it like start modifying and doing things. And so if I was like, you know, I'm on a podcast with Greg and I'm showing him Nebula. This podcast is for startup slash founder slash team leads that focus on building and producing great companies. I want to.

• 6:30Speaker 01

  To to create a three slide deck outline on Nebula and what it's useful for.

• 6:42Greg Isenberg?

  And so this is.

• 6:43Speaker 01

  Yeah, go for it.

• 6:44Greg Isenberg?

  Yeah, I was gonna say like this is sort of a glimpse into the future of how we're gonna interact with apps, I think, right?

• 6:53Speaker 01

  I think so. You know, obviously, text is a modality that we're very comfortable with. I'm very, very interested in audio and screen share and live synchronous. That's kind of to me, the next part of stuff that's gonna come here is like I not only want to type asynchronously, maybe from my phone, but I also want to just get on a call and spend three minutes explaining my entire thought process and then Nebula can go off and work. And, you know, we built an engine behind the scenes. That's kind of like the main thing. The text is the input to the engine, but no, I do think here and so you can kind of see that it's taking control of this presentation. It's now starting to edit it. It's saying that it's gonna create an update slide one. There's a bunch of hidden stuff here, like it, you know, created its own to do list.

• 7:38Speaker 01

  It, you know, told Google like, hey, replace all the text with this for this slide. You know, like, these are things that if you're writing a program for it, it's actually doing all this stuff. It's doing API requests for you. It's kind of making making all of these things happen that an engineer would do. And, you know, we're here and now kind of add all of these and great. And so now this is a kind of like a basic slide deck. And so let's make a fourth slide and add an image that shows the power of Nebula. Make that image the entire slide. So now it gets a little bit more complex, right? It's got to go and understand the context of what we've been talking about here. It's gonna make a fourth slide.

• 8:24Speaker 01

  It's gonna generate an image. You know, it comes up with the prompt that needs to be done. In this case, it said a powerful visualization of the AI agent network. It's a glowing node. It kind of took some, you know, direction. It had an aesthetic. If I was very specific with how I wanted it to look, it would just listen to me, right? Like, and try to generate that. And, you know, the idea here is like, cool. Like, a lot of this you can kind of do with Claude. And chat GPT, you could do some of the research, there's maybe web search. Okay, now we're connecting it to services and that's kind of step one of an area that it can kind of operate. Okay, like it can manipulate these things, it can do it.

• 9:11Speaker 01

  It can connect to image or video generation things, it has Python. So it'll get a little bit more advanced if I push it a bit more. So it did kind of create an image in here, you can see a file was created. It has its own file system, so you don't have to be on a computer somewhere. It generated this image, you know, style wise, don't love it, but I could tell it. Hey, I don't love this style, like go do something else. And, you know, we're gonna see it create the fourth slide here. And then kind of, kind of go from there and, uh, you know. You can see it's actually writing Python right now. So again, we're not engineering, but this thing is, it wrote some code to. You know, take these files and upload them to Google slides, there's, you know.

• 9:55Speaker 01

  An engineer somewhere that would be writing this integration for you, or you'd be connecting some no code service. Just live, it'll kind of figure out how to do it all and, and take care of it. And, you know, in a second here, we'll see this kind of image pop up here. Yeah, a little failure here and it'll, it'll correct itself, it'll say, hey, let me try something else. Let me try a different way to do it. And, you know, this is part of that AI system is like AI is not perfect, but could you just tell it to keep trying? Until it works? It, it, it kind of can, and it will keep trying to do things over and over again. Until it finds a pathway to accomplish it, or at some point it's like, hey, I have no way to do it. And, you know, okay, so like, we're, we're trying for a third time.

• 10:39Speaker 01

  Let's see if it gets it and, uh, I think we'll see an image pop up hopefully here.

• 10:46Greg Isenberg?

  That's has created a file. Something's, something's happening.

• 10:51Speaker 01

  Stuff's happening, right? It's got some files in here. Right? It wrote, it wrote this like Python script. Like, again, this is code that Nebula wrote for itself. Like, hey, this is the file that we have. Here's the presentation and I want to kind of create this image. And go do it. This is the code that somebody would write 16 by nine, roughly this. You know, kind of all the requirements that you would have. It's complaining about the size of it. Um, cool. We have an image here. It wasn't the image that's there, but it tried. I could push it more, by the way. I had to tell it to kind of keep doing it. And that'll be there. I think some of the power happens. Work is not synchronous like this, right? And so one of the biggest things I wanted

• 11:36Speaker 01

  was, you know, I can get a lot of this in other places. I could write scripts. But now I'm like, okay, cool. Now let's add a new slide every day with more information about Nebula. We want to get this presentation to 15 page, 15 slides in a week. And so it has scheduling, right? It will actually go and say, cool, what is the thing that you were doing here? What was the context? Let me pull that out of this piece of work. Let me create a recipe for that so that we could reproduce this dish over and over again. And then write the, you know, the trigger, you know, it wrote a cron.

• 12:21Speaker 01

  If you're technical, you know what a cron is. And, you know, we can go over here to the triggers and see there's a daily Nebula presentation update. And so every day it's going to add a new slide. Goals to reach 15 slides in a week by adding two slides a day from current slide four. And here's the execution steps. And it'll just run every day at nine AM. And now this hands off. And you know, maybe a slide deck is not the approach for it. But for example, if we wanted to make a blog, that's what I would do. I would, you know, go and edit the style and I can actually show you that that workflow as well. Where we know we can kind of quickly create a blog and every single day it can kind of produce those results.

• 13:06Speaker 01

  I can dictate where to get the information from, search it from Twitter, search it from the internet. Here's how you think about the analysis. Here's the visual style of the images of the blog and how we want the tech to work. And then you connect your post hoc to it and every day you tell it optimize itself and and we could do that now, you know?

• 13:25Greg Isenberg?

  I mean, that's sort of the dream for a lot of people, I think, is they create a business in a box. You know, maybe it's content, but you know, it could be like an email newsletter every single day. You know, you search on X, you search on, you know, press releases, Google News, things like that. You have a style guide around how you write. And then every single day you, you know, you're pushing out content and you sell, you sell, you know, make money via affiliate ads or maybe you sell ads and stuff like that. But I think this is, you know, an interesting, like when I see this, I'm, that's kind of like where my head goes.

• 14:08Speaker 01

  Hundred percent. And that was actually one of my starting points is like, okay, why do I want to create these scripts and agents that are quote unquote intelligent?

• 14:20Speaker 01

  Well, I want to automate my work. Well, if I just extrapolate that to the end, it's like, I want an automated company probably. Like I want to create some direction or guidance and I want to work with intelligent systems to kind of go do that.

• 14:35Speaker 01

  You know, and like.

• 14:38Speaker 01

  Great. And so I started thinking, I'm like, okay, what's like the smallest company project that I could do? And a blog is kind of one of the things I landed on, you know, I can think of a, you know, content direction, I could think of source of information, I could come up with visual style, editing style, as well as, you know, the ability to connect to my system. In this case, I'm using Ghost. And then, you know, from there, I'm telling it to run every day. And then what am I going to do? I'm going to look at the search console and post dog and optimize keywords and just do that every day. Right? And, and, and I think that was one of the North Stars

• 15:20Speaker 01

  that I actually started from was, could I just have it run a company, a project just on its own, like autonomously? And I do have a blog that I use as my kind of like testing ground for building this. And it's now 15 days in a row, been doing three posts a day. I think the blog has gotten to about 100 hits a day. I, I just set it up. Like I spent less than 30 minutes on the setup and then, you know, kind of from there, it was good, you know, to go. And if I spent more time, it would do that.

• 15:52Greg Isenberg?

  Someone in the comment section, I can just hear it. So we can just address it. Someone in the comment section is going to be like, well, if everyone's going and creating these business in a box blogs and stuff like that, you know, is there still opportunity? Or is it going to get commoditized? Or what does the world look like in, you know, a few years when anyone has the power of something like Nebula?

• 16:17Speaker 01

  For sure. Um, I think as we get more advanced, we, there are things that are no longer that interesting. Um, you know, there was a time period where just having a website was a competitive advantage, right? Like having a dot com, you know, I got the gray hairs, you know, dot com era, like literally being a dot com was an advantage because you created the accessibility. And then, yeah, like being a content creator or a blog, you know, blogger was an advantage, maybe five or 10 years ago. And yes, what's going to happen is, you know, everybody gets access to these things. Now we flood it. Well, the basic version of it is not going to be useful. I'm going to have to apply the same logic to kind of the next level of things.

• 17:02Speaker 01

  My content is going to have to be superior. My delivery is going to have to be superior. Maybe I'm going video, maybe I'm going more advanced, you know, and I'm going to build agents to help me do that. I can make a block critic agent that this loops against. Every time it produces a post, I can say, hey, ask the critic, make sure this is a nine out of 10 on these metrics. And here's how we determine that and then test your thing and learn the next week. And so I think we're just going to go more and more advanced. You know, in terms of, you know, what's kind of there. And so I connected to this like nebula demo ghost blog. Here's my ghost admin site. I told it to make a test draft post and it's there. It's connected to the system.

• 17:47Speaker 01

  Now it's up to me to create creativity, you know, like, okay, cool. This blog will be VR themed specifically about new apps and games coming out in VR. Can you do the research from the top VR influencers? To find the latest and greatest games, produce a post and an image. So again, if I get much more advanced with the instruction, like this is not advanced. This is I'm just typing this very quickly. If I got like very fine, right? I gave it a paragraph of stuff that I care about.

• 18:28Speaker 01

  If I'm kind of going to go and do a lot more, then it will be better. And you can kind of see it starts working in parallel, like multiple things start happening. It created these to do's of things to do. It now has like five different searches going on at the same time. It's, you know, dumping all the info for now. Again, this is UX that I think will improve over time and on what it should look like. Right now it's verbose, great. I can see all the work that's happening. But this is like real work, right? Like, and I can give it significant specificity around my focus area. You know, I could tell it to design my blog differently. I could tell it, hey,

• 19:08Speaker 01

  I don't want it to be looking like a blog. I want to integrate it into my website and connect my GitHub, and it can take these parts and connect them together. I think that's the power that I wanted is this system that can live in the cloud. It has the code execution, the file systems, all these things that I have in my cloud code on my computer, but it just lives on the internet. I start connecting it to different services. I get more advanced with the system. It starts managing multiple schedules, multiple things, multiple optimizations. I feel like we're still, like I said at the start, this is an age of abundance, and so we're not taking advantage of the abundance yet. I do believe that once we get, and we're taking advantage of it, maybe it'll be too much,

• 19:50Speaker 01

  and we'll go back into the age of, you know, organic, or the age of, you know, taste. So I don't think that, you know, this never ends, this cycle of like, a lot of stuff, go to the kind of top, more popular things, or, you know, crafted better. Maybe we go more human-centric. Tons of stuff this helps me get done. I can manage my calendar. It has an email address, so it could just reach out to people on my behalf and manage conversations. So if I'm doing lead gen, if I'm doing a trip, and I want to reach out to hotels or something like that, we just wanted to give it the right package of things that you normally hire somebody to do. And then I think you're just figuring out, like, how do I get it to do more? And, you know,

• 20:33Speaker 01

  I think if you spend a thousand dollars a month and had AI team, it sounds a lot, but I do believe you'll produce five or $10,000 of value for yourself if you just point it in the right direction. That part, we've always had to do that. We have to point the thing at the right direction. And I think that creativity will never get lost. That's where humans come in. All the other mundane stuff in between, like this research, writing the posts, generating these images, going and scheduling all of these things, like, I think that's what kind of goes away. And that's already capable now. And I think that's why I ended up building this. It's like, I'm like, dude, I got this power in my hands. How does everyone get that?

• 21:12Greg Isenberg?

  So I agree with you. I think it's really about, you know, how do you point it to the right thing? And that is often the hard part. One person business, I think a blog, a newsletter, those are, there's a huge opportunity now for the next 12 to 18 months. What else comes top of mind if you're trying to build a one person business in the age of AI? Like, what do you, what are you brainstorming? And how are you thinking about that?

• 21:44Speaker 01

  Yeah, so in a company, you know, a blog might be less than 2% of the entire company of work, right? Like, it might be like, hey, we have a blog, but we have 99 other things that we do. And I think about all of those workflows, like, where, where is the, like, creativity needed? This is where I got to put the most talented humans in charge of, and arm them with tools. And then what are the things that they produce? And so, you know, the reason I wanted it to make this feel like Slack was, cool, I got my blog, you know, now I'm going to be like, you know, making my lead gen channel and starting to

• 22:27Speaker 01

  kick off, like, lead gen work, right? Like, go and research these, do it every day, go craft emails, go send things. And then I'm going to be like, well, we have our product analytics work that we need to do. So I'm going to connect my post hog, right? I'm going to be like, you know, connect to my post hog, you know, create an agent that can, you know, analyze my, you know, web traffic. I'm, you know, like, I'm just like, how do I just spawn up many of these agents? And in different channels, like, here it says, cool, like, let me connect your post hog. But that's what I'm thinking about. Like, I think a lot of work is not

• 23:13Speaker 01

  It does get more complicated, right? You know, and it does become a thing where it's like, there's many, many more things to do. But I think a lot of them do come down to directive and workflow. You know, the whole no code movement, I was super fascinated with. I was always the engineer that I'm working with every team in the organization, marketing, business, sales, whatever. To like, help them get the power of what engineering had, it was a lot of work. It was hard to commit resources and do these things. No code and SaaS kind of came out and, and, you know, really unlocked that and we, and we saw that.

• 23:54Speaker 01

  And, and I just think that the next thing with AI is, is that it will elevate that to every corner of the company. I, I just feel like it's, it's kind of getting to the stage where, you know, there's no longer a limit here. It's just like, what, what work do we want to put them through, you know, like, you know, kind of like, like, like that, that's the experience that, that I'm thinking about. So, you know, I got my blog, it, it's coming up with all these things. The reviews are actually, while we were talking and doing something else, the reviews should be in here. You know, it made an image, it came up with something, we didn't give it any direction.

• 24:35Speaker 01

  We can definitely increase the, you know, editorial quality here by just being much more fine grained with our directive. It actually went and did research, you know, for me, it, it produced this. I could just be like, hey, go publish this, right? Like, you know, looks good, let's publish, make three posts a day.

• 24:58Speaker 01

  Now our blog workers go in, we're going to go work on the analytics worker. This agent's going to have stuff, you'll, you'll see different agents show up in the chat here. There's an agent creator, it's just going and making this thing. Now it's building custom stuff like, so I think like, I, I see a lot of like, inside of companies, how work happens, what, what's going on? What does it take to go do this? I mean, how many times have you asked somebody on your team break to like, go connect and add analytics to our website? Or, you know, then, then it's like, cool, go make the dashboards and then go do this. And at the end, what are you trying to do? It's like, I want to see how many people came, how many new people, what's the retention? It's like, what if we can get to that level? What, what's the unlock of our creativity?

• 25:39Greg Isenberg?

  I also think there's, you know, when you think of agencies and service businesses, like a lot of the time, they're delivering this service, right? So there's tons of content agencies that churn out blog posts for a monthly feed. There's tons of analytics agencies that'll set up your post hog and give you reports and do research. So I also think that, you know, for, for people listening, there's an opportunity to use something like this and basically do client work. But the service is, instead of having literal humans do it, you have,

• 26:18Greg Isenberg?

  I mean, you're gonna have some humans manage it, but a lot less humans, maybe a twentieth of the amount of humans. And then you have these agents go and actually create the, the service, right?

• 26:32Speaker 01

  Hundred percent like, I mean, you know, a lot of people are like, oh, well, humans will be gone then, right? It's like, no, like, I think we still decide what we want to do, right? Like, at some point, somebody has to direct things. And I think people, like, you know, notice, I know the word post hog. There's a lot of people out there that might not know that. So, okay, like, like, somebody's still gonna like have some knowledge and direction and directive. And I don't think AI replaces how we go and get our results. I think what it does is it allows us to take a direction we want to go and progress us towards that faster. Like, we are creating the circumstance of where we want to be, you know?

• 27:17Speaker 01

  And, you know, while, while the analytics agent was being set up, it published the post. I think we should be able to see it at this URL now. Right? We got one. It still looks like a demo blog. Cool. We're live. And it now set up the trigger. So it's gonna do it three times a day, right? It's gonna run in an hour. It says it's gonna run at 6:00 AM, 2:00 PM, and 10:00 PM. And it has an agent attached to it that it knows all the knowledge of everything.

• 27:49Speaker 01

  You know, I'll move on to the next thing and, you know, come back and add more to it. And, you know, I, I, I think the experience of continually upgrading and iterating my processes to get more advanced, I'm showing you very, this is like day one of your company, you might set up the blog, you might set up the content thing, or, you know, your internal kind of like workflows, then your company gets more advanced and you're going to add more things and you'll end up with like 20 or 30 channels, like, you know, a lot of the stuff to even build Nebula, like I'm using Nebula itself, the change logs that get produced, the images that are kind of in different places, like styles, like that we want to kind of focus on when we're trying landing page tests and the analysis, like every day

• 28:29Speaker 01

  there's like an experiment analysis agent that, you know, tried three different variants for our landing page and just told us the results. And then we tell it like, hey, these attempts suck, do something better, go like this, these sites are great over here, go look at these sites and research those and then try that. And then the next stage is very, very different. And, and, and so I just found that like a lot of time gets spent in creating the workflow. Like I love N8N, don't get me wrong, I have many self-hosted instances of that over the years. I like tools like Zapier, they're very instrumental in, you know, a lot of work being much easier. It was still pretty tedious to do, I kind of, you know, I just landed on, can I just tell it? Can I just tell it what I want?

• 29:13Speaker 01

  Because that's what I want to get to. And I just scratched my own itch here and, you know, wanted to, you know, wanted to go from there.

• 29:21Greg Isenberg?

  Well, I love it. I think it's a, it's a glimpse of where, how work is going to be worked on and it's a glimpse of like the opportunities in these one-person businesses and, and then optimizing your internal company. So I think this is really cool. Dude, that's why I had you on, I knew you were always tinkering and, and thanks for, is this, is this live yet?

• 29:43Speaker 01

  This is live, you can just go to nebula.gg and use it. I have not hooked up billing yet, I won't until the costs are significant and so go use it, go burn tokens, tell me what's wrong. I'm happy, like, I, I want, I want all the feedback because, you know, like I scratched my own itch, I, I know what I can do with this. The question is like, can I take the UX that's useful for me and get it to other people? And that's fun, this, you know, there's a lot of people that tinker and then that, that's kind of the hobby and then I always tinker to like.

• 30:18Speaker 01

  I want like, I want a lot of people to use the thing that I tinker with. That would be the net end outcome is a lot of people find this exceptionally useful. And I think you're gonna find bugs, you're gonna find things you don't find useful. Just tell me, I'm happy to iterate here.

• 30:32Greg Isenberg?

  I appreciate you for a con. Thanks for, for sharing the product, your thinking, firing people up about some of these ideas they can do. And I hope you come back on and share more, more projects that you're working on and tinkering on in the future.

• 30:48Speaker 01

  Anytime, let me know. I mean, you know, I'm always down to share, you know, happy to share what I'm up to in the evenings.

• 30:54Greg Isenberg?

  You're the best. All right. Thanks, man.

• 30:57Speaker 01

  Bye.