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Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets!On the product side, everyone is getting Computer - Perplexity, Manus, Cursor, and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer (Harbor). On both ends, the consolidating LLM OS stack has become a standard toolkit, and Daytona is one of a small set of AI Infra companies that are booming because of it.“The end of localhost” has been Ivan Burazin's obsession for more than a decade.Something that is all too familiar…Long before agents became the default way people talked about software development, Ivan was already chasing the idea that development should not depend on a fragile local machine. CodeAnywhere, one of the first browser-based IDEs, was an early attempt at that future: move the development environment into the cloud, make setup reproducible, and free developers from the endless “works on my machine” tax.The thesis was directionally right, but the market wasn't ready yet.However, agents changed that. They do not care about a laptop, desk setup, or favorite editor. They need a computer they can access through an API: something stateful enough to keep working, fast enough to spin up instantly, flexible enough to resize, isolated enough to be safe, and composable enough to run the messy real-world workflows that real software engineering actually requires.Daytona isn't just selling “sandboxes” in the narrow code-execution sense. It is the latest version of Ivan's original localhost thesis.In this episode, Daytona's CEO joins swyx to explain why AI agents need more than code execution boxes: they need composable computers, stateful sandboxes, instant startup, dynamic resources, and infrastructure that can survive workloads going from zero to 100,000 CPUs.We go deep on the new agent compute market: Daytona's hard pivot from human dev environments to AI sandboxes, the New Year's Eve MVP that customers begged for, why Daytona runs on bare metal with its own scheduler, how one customer runs almost 850,000 sandboxes a day, and why RL/eval workloads went from 0% to roughly 50% of usage in just months. Ivan also explains why agents need Windows and macOS machines, why CLI may matter more than MCP, why Kubernetes is painful for this workload, and why the future AI cloud may look more like Stripe than AWS.We discuss:* How Daytona grew out of CodeAnywhere, Shift, and the “end of localhost” thesis* Why Daytona pivoted from human dev environments to AI sandboxes* Why agents need composable computers instead of disposable code execution boxes* The New Year's Eve MVP that customers chased API keys for* Why Daytona chose bare metal, stateful snapshots, and its own scheduler* How Daytona spins up one sandbox in ~60ms and 50,000 sandboxes in ~75 seconds* Why Daytona's biggest customer runs ~850,000 sandboxes a day* How RL/eval workloads create zero-to-100,000 CPU spikes* Why RL workloads went from 0% to roughly 50% of Daytona usage* Why customers compare Daytona against EKS/GKS and say they're “never going back”* Why every AI agent may need a computer, including Windows and macOS environments* The Apple licensing constraints that make macOS sandboxes hard* Why CLI gives agents more power than MCP* How open source helps agents integrate Daytona* Why agent-generated PRs may break today's CI/CD assumptions* Why AI SaaS companies reselling tokens may face a cold shower* Why the AI cloud may look more like Stripe than AWSIvan Burazin* LinkedIn: https://www.linkedin.com/in/ivanburazin* X: https://x.com/ivanburazinDaytona* Website: https://www.daytona.io* X: https://x.com/daytonaioTimestamps* 00:00:00 Hook* 00:01:12 Introduction* 00:03:15 CodeAnywhere, Shift, and the end of localhost* 00:05:58 What Daytona is: composable computers for AI agents* 00:08:07 The pivot from dev environments to AI sandboxes* 00:10:17 The New Year's Eve MVP and customers begging for API keys* 00:12:56 Bare metal, stateful sandboxes, and Daytona's scheduler* 00:17:28 60ms startup, 50,000 sandboxes, and 850K daily runs* 00:21:53 Spiky RL/eval workloads and the new agent infra problem* 00:28:12 RL workloads, Kubernetes pain, and dynamic resizing* 00:33:31 Why every AI agent needs a computer* 00:38:48 macOS sandboxes and Apple's licensing problem* 00:44:28 Why CLI may matter more than MCP* 00:48:11 Open source, GitHub stars, and agent integration* 00:53:11 Git, CI/CD, and agent collaboration bottlenecks* 00:58:15 Founder life and building a 25-person infra company* 01:02:44 AI SaaS, token resale, and API-first business models* 01:06:10 GPU sandboxes, data centers, and compute growth* 01:09:48 Why the AI cloud may look more like Stripe than AWS* 01:11:26 Closing thoughtsTranscriptIntroduction: Daytona, CodeAnywhere, and the End of LocalhostSwyx [00:00:02]: Okay, we're in the studio with Ivan Burazin, CEO of Daytona. Welcome.Ivan [00:00:07]: Thanks for having me, man.Swyx [00:00:08]: Ivan, you and I go back.Ivan [00:00:10]: Way back.Swyx [00:00:11]: How I don't even know how, you found, did you reach out or, for Shift.Ivan [00:00:17]: I reached out to you. The reason was you - we were just - we were thinking about I was one of the co-founders of CodeAnywhere, the first browser-based IDE, and so we were thinking a long time of, localhost should die. And you had this article.Swyx [00:00:29]: End of localhost.Ivan [00:00:30]: Then I reached out to you because of that, and then we talked, and I was actually at a different job and learning about I was the head of, developer experience, and you were quite well-versed in that, and I actually reached out to you, among other people, how do we go about that? What are the key things and whatnot at this point in time? And you were nice enough to take the call, and I remember I was late on your call with you.Swyx [00:00:51]: I don't remember.Ivan [00:00:52]: I remember because I was with my then I'm thinking of a girlfriend or wife at that point in time, I'm not sure. It's the same person, so that's great, and I was late ‘cause we were, in, Italy on, vacation, and then I was late for something. I felt so bad, and you were so nice to be, good about.Swyx [00:01:10]: The reason I'm nice is because I'm also late to other people, so it's like, who's, who's without sin here, yeah, so I have to, for those who don't know, InfoBip Shift, there's this whole thing that, you did in the past, and, and that was basically one of the inspirations for me starting AI Engineer, which is like, I have to thank you for giving me that push to be like, “Oh, you can, you can build and sell conferences?”Ivan [00:01:34]: I remember you asked you asked me at the beginning to give me advisory shares, and I was so focused on what we were doing, I said no, and I should've took the advisory shares. So I'm sorry, dude. But anyway.Swyx [00:01:43]: We're not, we're not venture backed.Ivan [00:01:44]: No, it doesn't matter.Swyx [00:01:45]: It's Yeah, anyway, so I think what's impressive about you is that CodeAnywhere is the thing that you've been trying to build, and, you kind of put it on hold and then came back after InfoBip. Just give us the story, do you - the story and the origin story, going into Daytona.From CodeAnywhere and Shift to DaytonaIvan [00:02:05]: Sure. Like, really way back, me and my co-founder have been together. I say this, I've said this multiple times, it's like we were married and divorced and married. Some people actually ask me is my co-founder my partner. they thought it literally. It's not literally, but we have done multiple companies together, and to your point, we had this shift where we went from the CodeAnywhere to the conference called Shift, and then back to, Daytona. We originally started stacking servers, doing like virtualization in the early 2000s and, routers and doing basically all these things, at a foundational level, and that was a services company which we sold to focus on what my co-founder actually invented, which was the very first browser-based IDE, right, I say the first. Before us was actually Heroku. They did it for a very short time until they became Heroku. But outside of them, we were the only one, and it was called.Swyx [00:02:55]: There was Cloud9.Ivan [00:02:57]: Cloud9 came out slightly after us. There was Replit, which came out when we stopped doing it, Replit came out, and they have been successful since then, which is great. There was Nitrous.io. There was quite a few that existed at the time, but it was like too early. But the interesting part is that we, at that point in time, because there was no VS Code, there was no Kubernetes, and Docker had just started when we Or I'm not sure if it was even public at that point in time. And so we had to build everything to the whole stack ourselves and that was the key learning that we brought into and that we've been using in Daytona today. So it was super early. There's about 3 million people used CodeAnywhere. It was slightly, it was angel-backed more than venture-backed. We ended up paying everyone back because it didn't have that sort of scale. But, three years ago, we started something similar with Daytona, which is not what we are today, but it was automating dev environments for human engineers, the basically the underlying stack of CodeAnywhere. And then we did a hard pivot last January to sandboxes. And so here we are.Swyx [00:04:01]: Historic pivot, yeah, and, it's one of those things where, I had independently invested in CodeAnywhere, but also in E2B, and then both of you pivoted into the same thing, and I'm like, “F**k.”Ivan [00:04:12]: You invested, you invested in Daytona. You invested in Daytona. But you were the first If we had not got your check, we wouldn't have done it.Swyx [00:04:18]: No way.Ivan [00:04:19]: No, it was like, “We have to get him on board first,” and you were that kicker that we, that got us off the ground.Swyx [00:04:23]: No, because you were putting me on your pitch deck, man. I was like, “Man, this is like a good trip if I don't invest.”Ivan [00:04:29]: That's because it was your quote. It's like we.Swyx [00:04:30]: Yeah. It's the end of localhost.Ivan [00:04:31]: Did a bunch of research about end of localhost and who was interested in that,.Swyx [00:04:34]: No, that's like, I put, I wrote that blog post, and every single company in that field reached out to me, and then every VC who was receiving those pitches then also had to call me and, talk it, talk through it with me.Ivan [00:04:47]: It's finally happening though.Swyx [00:04:48]: It was really super interesting.Ivan [00:04:48]: It's finally happening.Swyx [00:04:49]: It's finally happening.Ivan [00:04:49]: Yeah, it's finally.Swyx [00:04:49]: It's finally happening, with maybe sort of non-human users. Yeah, so what is Daytona today? Let's get like a quick description. I'm wearing the shirt.What Daytona Is Today: Composable Computers for AI AgentsIvan [00:04:58]: You're wearing the shirt. Yes,.Swyx [00:04:59]: It says, I think your branding is very good. Like, it's very consistent. It runs AI code. Like, it cannot be simpler.Ivan [00:05:05]: Exactly, but we're gonna probably have to change that.Swyx [00:05:07]: Oh, s**t.Ivan [00:05:07]: It's also a subset of what we do. Unfortunately, we really love this, Run AI Code is super simple. People interpret it different ways. I think we've given out 5,000, 6,000 of these shirts. People wear them with pride because it doesn't really market about us.Swyx [00:05:21]: Yeah, Daytona's on the back.Ivan [00:05:22]: It markets the back. It markets to the person itself, so I think we did a really good job on that one. But it is also a subset of what we do, because people, when they think about Run AI Code, they just think about these small, let's call it isolates, code execution boxes that, you send some code, you get an output. Whereas what Daytona is today is essentially composable computers for AI agents. It is, the market calls them sandboxes which can be misleading.Swyx [00:05:44]: All these things. All these things on.Ivan [00:05:45]: Yeah, exactly, ‘cause it can be misleading ‘cause people usually think about sandboxes as a demo or a test environment versus a production-grade environment. But what Daytona does, if you think of the laptop that you have in front of you or the computer that's over there, or, my wife is an architect, so she has like a Windows with a 3D graphics card inside to do 3D rendering. Like, as humans, we have different computers or different compositions of computers. And our belief is strongly that agents today and going forward will need all these different compositions of computers to do different types of tasks. And so we offer that basically through an API.Swyx [00:06:19]: Yeah, to give people - I'm trying to sort of front-load all the aha moments or the wow moments so that people can, stay engaged and click like and subscribe. the market is exploding, right? Like, you have been reporting 74% month-on-month growth, and it also, it's just been growing for a while. Like, it's been going like this. And every single - It's not just you guys. It's every single.Ivan [00:06:41]: Everyone, yeah.Swyx [00:06:42]: Sort of, compute provider. I don't know if you agree with me saying compute provider or not.Ivan [00:06:48]: It's fine.Swyx [00:06:48]: Yeah. So like organically PLG-driven growth, but also enterprise is doing super well, I think I wanna rewind to January of last year when you did the pivot. Like, so you obviously called this market early, and you were positioned for it, and you are now one of the market leaders. But what was the insight that made you do the pivot?The Pivot: From Human Dev Environments to Agent SandboxesIvan [00:07:06]: The insight that made us do this pivot is the quarter before that, so end of 2024, when we had - Basically, we did a demo with - I don't I think we discussed this as well, Devin was not public. You actually gave me access to Devin at that time. So Devin.Swyx [00:07:25]: I did?Ivan [00:07:26]: Yeah, you gave me access.Swyx [00:07:26]: I don't think I was supposed.Ivan [00:07:27]: Yeah, exactly.Swyx [00:07:28]: Yeah, I.Ivan [00:07:28]: So it doesn't matter. You.Swyx [00:07:29]: Yeah. I gave like three friends access.Ivan [00:07:31]: Yeah, or it was a call and you showed it to me. It doesn't matter. but OpenDevin was available, which is now called OpenHands. And so we're like, “Oh, this seems to be a thing. This is not public. Let's take our for human automation of dev environments and take, OpenDevin and launch that as a SaaS.” And we did that. Not very many people signed up and used it, but a lot of people reached out that were building agents, and they were like, “Hey, my agent needs a compute sandbox runtime,” whatever you wanna call it. I forgot what it was called at that point. And then we were like, “Oh, amazing. This is a new market. Here is our infrastructure. Here's our product, and go.” And what we found really fast, soon, was that people did not like what we had built. It didn't work. And I remember talking to people at the beginning when we're doing this, the sandbox we're building for agents. People were like, “Oh, why is it different? It's the same thing. We have like EC2, we have VMs, we have all these things.” But we saw that everyone we gave it to, it was like 20, 30 people, they all said, “No.” Like, “This is not what we need. This sort of breaks.” And basically, me and my co-founder not knowing a lot about - ‘cause we're infra people. We're not AI people. So I basically took it upon myself to like watch every single podcast that exists, including all of, all of these and all that, and sort of get up to date, read all the blogs, like get, understand what's going on.Swyx [00:08:45]: Do you wanna shout out who else was useful, just in case people are also looking.Ivan [00:08:49]: Generally we -, I looked at There's a few of podcast, different segments and different types. So there's you guys, No Priors, Bill Gurley's was great while.Swyx [00:09:04]: VG2, yeah.Ivan [00:09:05]: Yeah, while it was around. So there's a few. 20VC is interesting from a different dynamic, and some are different dynamic. But there was, also Red Points.Swyx [00:09:14]: We're not really about the compute market.Ivan [00:09:15]: It was also already - Sorry?Swyx [00:09:16]: You're, you want - You're looking at the agent infra market.Ivan [00:09:19]: I was looking at the agent market and the AI market in general and sort of understanding who are the players, what the perception, and how that goes. And like obviously you complement this with like going to conferences, going to events, going to meetups, reading white papers, like doing all the things that you have to do to understand what's happening. And so when we figured, when we sort of had an idea of what we had to build, literally over the New Year's Eve, literally on New Year's Eve, I half vibe coded the first MVP, first minimal viable product of what Daytona is today. And I went to sleep at like 3:00 AM or something like that. I was doing - I just put my like baby daughter and wife to sleep and, Happy New Year's, and go back to just, doing this. And I sent it to my co-founder, my CTO, and he saw it in the morning. He's like, “This is absolute garbage.” “Do not show this to anybody at all, but the idea is good.” And so he took two weeks, and he rebuilt it.Swyx [00:10:09]: Did it like look like that? Listen, I - It was rough idea.Ivan [00:10:12]: Oh, not even, not even close. Like it was it was way worse. But it was like a very - It was a simplistic view of what it should be. Like, it worked, but it was not ideal. And so he went, we went down the whole, which is his job as CTO, to go, and he came back with this version. We then called all the people that had said like, “This is garbage,” a quarter ago. And we set up these calls, and we gave it to - We just demoed it to everyone. And all the calls went long, every single one. They were 15-minute calls, and they all went to like 25, 30 minutes or whatnot. And everyone said, “We need, we want access.” There was no login, just an API key, ‘cause it was just a beta or an alpha. And they said, “Oh, we want access.” And we're like, “Sure, yeah. Okay, thank you very much.” But after like the next day, if we'd not send it, every single one, like every call that we did, everyone came back, “Where is my API key?” Like everyone wanted it. We're like, “S**t.” Like this is it. Like I've never felt So one, the understanding to your point was like most people thought it was the same infrastructure for humans and agents. We understood a quarter ago it's not. We just didn't know what was the right primitive. And then when we came, and we can talk about what that is, and we gave it to these people, I've never seen, I've never experienced - I've done multiple companies in my life. I've never experienced this, that people literally call you if you do not give them access. Like they want access right now. And so it's like, okay, they don't want this. the thing that they want doesn't seem to exist, or they have not found it, and they really want what we want. And then when we understood that we're onto something, and then when you think about the size of the market, like the market for human engineers and enterprise is a very large market, so think GitLab or whatnot. But the market for every single agent that will exist ever in the future is just like, what is that market? How big is that? And we're like, “We are all in on this.” And so that is where we made sort of the cut between the old product and the new one.Bare Metal, Stateful Sandboxes, and the Lambda + EC2 ModelSwyx [00:12:02]: Yeah. But it wasn't composable at the time?Ivan [00:12:05]: It was very - It was basically just a Linux box that you could change, that you could define number of CPUs, disk, and RAM. Like that is what you could do, but you couldn't have multiple operating systems, you couldn't resize it on the fly, you couldn't add a GPU, you couldn't do like all the things. It was just the, just the first sort of variation of that, yeah.Swyx [00:12:22]: Was it bare metal from the start?Ivan [00:12:24]: It was bare metal from the start. And so the interesting thing that we thought about right away, so our.Swyx [00:12:29]: Which, give people the background, what is the normal path?Ivan [00:12:32]: Yeah, so, basically most providers run this on top of VMs. And also.Swyx [00:12:37]: Firecracker.Ivan [00:12:38]: Yeah, they run on Firecracker and VM. And so we also fire - We can get - We have multiple isolation layers and we can do that. But the common way to do it is that they, one, that the state of the machine, or the hard disk is not part of the sandbox itself. And the other thing is they're not meant to last forever. So most of them are preemptible, like they can There's a time that they can live. And so our thought was when we were going into this is, agents will be like humans in the sense of you don't want your laptop to be shut down until you're done with work. Like, and you want to close the lid and open the lid, it's the same state. So you - Agents would want that, like the pause and come back. They want those two things. But also agents really want speed, right? Can they get it? So when we thought about it's like we need something insanely fast, how to make it fast, how to make it long-running, and stateful. And so those two things, it's like combining a Lambda and an EC2, right? Those two things together. And so we didn't have an idea how others did it, ‘cause we didn't know too that there was a market around this. It was more like, okay, this is what we need, what they need. And we looked at Kubernetes, it wasn't wasn't good enough for that. We looked at Nomad, it didn't enable that. And so our history in rewriting our own scheduler at CodeAnywhere is basically what my CTO came up with. Like, he's like, “Oh, the learnings from there,” and he brought it. And the funny thing is, our third co-founder, when he saw it, he's like, “Dude, what is this? This is like 2008.” Like, we went back in time, and he's like, “Exactly.” And so the reason why Daytona is like super fast, and you see this on benchmarks, is we essentially, we run on bare metal. We have our own scheduler, we use the underlying, disk, CPU, and RAM of the underlying machine, which means your IOPS are insanely fast because there's no, there's no network between an EBS or something like that. But also the snapshot, the point in time, the templates, are also preloaded on the bare metal machines. So when you fire off a sandbox from a template or a snapshot, you're essentially directed to the bare metal machine where that snapshot is based on that NVMe drive, and then it literally just turns on that machine, and it's local. There's no network latency, anything on there. And so that is sort of the specificities that we, when we're thinking from first principles, what a computer would look like for an agent, that is what we came up with, and that's what we created.Benchmarks, 60ms Startup, and 50,000 SandboxesSwyx [00:15:02]: Yeah. I should maybe, I don't know if you endorse this, but there's someone that does compute SDK, you guys do very well on there, with like the TTI, right? I. is this a, is this a is this a relevant benchmark for you guys? I don't know.Ivan [00:15:16]: I don't know, and it changes every day. So today RKL is.Swyx [00:15:18]: I don't know what RKL is. Never heard of it.Ivan [00:15:20]: Yeah. RK, yeah, so it is there.Swyx [00:15:22]: You are, at least a third of the next tier of performance, and then, there's a lot of other better-known names that are very slow to start.Ivan [00:15:31]: Yeah. We've been the number one by far for a long time, and now there's different, there's different definitions also of sandboxes, different isolation patterns, different other things. So RKL runs it literally on the S3, the data, so it's very different, and they spin up a sandbox, spin up a container for that, so it's a different type of thing. So the definition of a sandbox is something that we can all, we all need to get along with. But yeah, we're insanely fast on getting these things, up and running. And so you can see even there that it's a zero point 0.10 to 0.11, so.Swyx [00:16:03]: Close enough. Yeah. what else do you need, right?Ivan [00:16:05]: Yeah. So the benchmarks itself, so, in this, in I don't think the benchmarks equate to market ownership or revenue or anything like that. and I've seen this with multiple benchmarks, not just in sandboxes, but in general benchmarks around.Swyx [00:16:20]: It's table stakes. It's just like.Ivan [00:16:21]: Exactly. But it doesn't hurt.Swyx [00:16:22]: Just roughly check.Ivan [00:16:22]: Like you definitely have to be up there and you have to be competing so that people know that, oh, this is definitely one of the top. Because this is only one dimension of what customers look for. There's other things like how many can you spin up consecutively? There's a feature set, there's support, there's like all different things that people look at, but you definitely have to be there, on the benchmarks.Swyx [00:16:40]: How many people do people spin up consecutively?Ivan [00:16:43]: So we have.Swyx [00:16:43]: Or concurrently, is the Concurrency, right?Ivan [00:16:45]: There's three metrics that we look at. And so one is like time to spin up one, and so our time to spin up one is 60 milliseconds with network latency. So request, spin up, reply, 60, the whole thing, 60 milliseconds. That is one. But if you wanna spin up 50,000 at once, we are now at about 75 seconds. So it takes about 75 seconds to spin up concurrently 50,000. Some others, there's public data around this, like take 2,000 seconds, which is 30 minutes. Like there's different variations of that. And then there is the so it is speed of one, speed of like multiple, and then how many can you consistently have up and running. And so we basically have right now no limit to how much we can add because we basically own our own metal. But the biggest customer of ours does like about 850,000 every single day is sort of where they're, where they're just shy of a million every single day that they're running, we do have a request for half a million concurrent, which is literally half a million CPUs somewhere running. So that's an interesting.Swyx [00:17:44]: They pay by like vCPU seconds.Ivan [00:17:47]: By seconds, yeah.Swyx [00:17:47]: Or whatever. Yeah. Okay, and so and then, and the other thing is, the sleeping and the resuming, ‘cause it's all the stateful resumption of all these things, how, what kind of workload are people putting through this, right? Like how is it Do we measure by gigabytes in memory, gigabytes in storage? I don't In like network attached storage. I, what are the costly ones of, out of all these features?Workload Economics: CPU, RAM, Network, and StorageIvan [00:18:15]: The most expensive thing are CPU.Swyx [00:18:18]: Okay. Yeah, of course.Ivan [00:18:18]: The second one, yeah Then it's RAM, then it's disk. We actually don't charge.Swyx [00:18:22]: Which is snapshotting, right?Ivan [00:18:23]: No, it's actually the, snapshotting's part of it, but basically the size of your hard disk, of your machine. So do you have 10 gigabytes, do you have 20, do you have 50, do you have whatever? And then the transference of that. Right now, currently we don't charge for, network at all at Polychron.Swyx [00:18:37]: Oh, you gotta, yeah, you gotta fix.Ivan [00:18:38]: Yeah. It is very much a it's a larger and larger part of our bill, so we're working around, that part there. Obviously, that is the least, expensive, so the hard disk is the least expensive, so it's basically CPU, RAM, for us network, ‘cause we don't charge the customer, and then hard disk, is how it's split up. But there's also different types of workloads, so we basically split it up into two types of workloads in Daytona. One is what we call background agents or long-running agents. and the other is, basically RLs and evals, which I put sort of together. And so they have very different patterns of usage, and if you look at the usage of a background And I'll just name names of companies, not specifically.Background Agents vs. RL/Evals: Two Usage ShapesSwyx [00:19:21]: Yeah, open, all hands.Ivan [00:19:23]: Yeah. So like a background agent's a Cognition, a Lovable, a like all these things are Harvey. These are all long-running, background agents. And so if you look at their usage patterns, their usage patterns are similar to human, which is like follow the sun. Basically, the usage patterns of that is like noon is probably the highest, and the midnight is the lowest, and then weekends are lower. weekday is higher.Swyx [00:19:42]: Yeah, that's a fun question. How global is it? Is it very US-centric or?Ivan [00:19:46]: The US is a large part, but we have currently, we have Asia, Europe, and the US regions.Swyx [00:19:52]: So it's quite global.Ivan [00:19:53]: Yeah, it's quite global. We have it all over. It's interesting that our I talked to you a bit about this. Our number one city by user.Swyx [00:20:01]: Hmm.Ivan [00:20:02]: Is Singapore.Swyx [00:20:04]: Oh, wow. Amazing.Ivan [00:20:05]: Which is an interesting one, right? Not by revenue, just by just like by individual head count.Swyx [00:20:09]: Really?Ivan [00:20:09]: Just like an interesting thing.Swyx [00:20:10]: Singapore is, Singapore is weirdly high in the adoption charts of AI for the population. It's like an, seven, eight million population. And it's like keeps showing up.Ivan [00:20:20]: No, it's quite interesting. We were quite shocked, and I was like, “Oh, this is interesting.” And also one that's up there.Swyx [00:20:24]: There's a reason I'm doing AI using Singapore. it's because I'm from there.Ivan [00:20:27]: We're there. We're gonna, we're gonna be there as well. and it's interesting that Japan is in the top or like Tokyo's in the top, which is in all the tech cycles it has never been. It has never been, so it's quite interesting that they're.Swyx [00:20:39]: I think the Japanese just love AI. Yeah. It's that, and then it's Brazil. That's it.Ivan [00:20:44]: Brazil has always been in.Swyx [00:20:45]: I think.Ivan [00:20:46]: Even when I look, if you look at like GitHub's data and ask historically with CodeAnywhere, it was always like US, Western Europe, and then you'd have like India, Brazil, China, like that would be there. But like Singapore was not in, specifically Japan was never in sort of that top, that top.Swyx [00:21:01]: Yeah. Weird pockets.Ivan [00:21:01]: Weird. Yeah, so it's very global.Swyx [00:21:02]: Okay, so actually that, but that's helps you to distribute your load through, all time?Ivan [00:21:08]: The interesting thing is like we have those kind of loads, but if you look at the researcher loads, they're quite different. So what they are is like if you give them concurrency of 10,000 or 50,000 or 100,000 CPUs at ARMb, when they fire off a run, it's just 100%. And then it just runs, and then it stops. So it's very, the usage pattern is squares basically, right? And it's also not follow the sun, because people will fire it off at midnight before they go to sleep but then wake up and so it's very unpredictable, so you don't know where that is. So the shapes of the usage are quite different than we have had before. And also what's interesting is when it's sort of a follow the sun, even if you have a high growth company, you can sort of predict your usage patterns and have enough capacity for that, because it's sort of, it grows in a, in a way you can project. When you have companies doing sort of like evals and RL, they're super spiky. So they're gonna come in, it's like, “We're gonna use nothing, then can we have 100,000?” Right? And then go back down. And then 100,000, go back down. So it's very different, right? And.Swyx [00:22:09]: Do you want to lock them into commits so.Ivan [00:22:11]: Yeah, we do.Swyx [00:22:12]: Yeah, okay.Ivan [00:22:12]: We so we have to lock them into some sort of commits to have that capacity, because we have to have, basically we have to have the capacity for peak. Right? And so right now, Daytona's mean utilization is 15%, 1-5.Swyx [00:22:25]: Oh my God.Ivan [00:22:26]: So it's very low.Swyx [00:22:27]: Because it's very spiky.Ivan [00:22:27]: It's very spiky, but we get up to 90%. so we have these things. And so what we're, what we're looking at right now as a company is similar to Cloudflare where you can like geo move things around, but that works really well for basically the background agent where it's follow the sun. But this, it's not. Like it's a very different shape. Obviously with scale you figure these things out, but that's an interesting new problem that we have, as a compute provider in the agent space. And when we were doing the conference recently, and so we talked to like Nikita from Neon and.Swyx [00:22:57]: I should bring it up.Ivan [00:22:58]: Parag from Parallel and whatnot, everyone has the same problem. Whereas the usage is super spiky, and this is something that has not happened before, that you have these types of like it was always, it the amplitudes were not this high, right? So it's quite interesting use case and problem solve.Compute Conference and Spiky Agent InfrastructureSwyx [00:23:12]: Yeah, I don't know if we're gonna bring this up again, but let's just talk about the conference, you had like 1,000 something people at the Warriors game, at the Sorry, where is it? What's.Ivan [00:23:22]: Chase Center.Swyx [00:23:23]: Chase Center.Ivan [00:23:23]: Chase Center.Swyx [00:23:24]: I went. It was, it was very impressive. Obviously, you can, how to throw a conference, what did you learn? you put, you pulled together all these impressive names.Ivan [00:23:33]: What I.Swyx [00:23:34]: What were you looking for?Ivan [00:23:35]: My thesis behind the Compute Conference was let's bring together people that are building infrastructure for AI agents. Because when I think of what we're building, it is the agent is the primary user, what are the ergonomics and usage patterns of agents, and so we can do that. And what I found, this was a theory, it wasn't proven, is that we all have these problems, as I touched onto. And I was, as I was talking on stage, it was like we all have the same underlying infra problems, which is this spiky workloads, unpredictable workloads that we've never had before, in human, compute or human infrastructure. And it's, again, it's the same when I was talking to Parag or when I was talking.Swyx [00:24:20]: Lynn. Nikita.Ivan [00:24:21]: Lynn, Nikita. Lynn especially, I was talking to her the other day as well. Like the It is a very interesting type of problem to solve because I can touch on Cloudflare because there's a lot of like talk about that recently as to how they solve that, which is they have a bunch of geos, and basically, as users work in different places, and depending on your tier, they can move you around the geos. And so that how, that's how they get the higher utilization. But you can sort of predict these, and it's If it's something in You'll rarely get a spike that is 10 orders of magnitude. Like you'll get a like let's say one of your customers has some like an exponential curve. What is that to I'm using Cloudflare as an example. 10%, 20%, whatever it is. I don't, I don't have this data, I'm just assessing. It's surely not 10x, right? It's surely not something there. And so how do you go out and solve this problem? And we're all solving this in different ways. So we have.Swyx [00:25:11]: She also has the same thing.Ivan [00:25:12]: Yeah, I know specifically that like Neon had that issue as well. Like how are we solving these spiky loads and things like that ‘cause we talked about it. And so the interesting thing for me to actually internalize was, yes, everyone that's building for agents first is going through this, and we're all solving similar problems, which is quite.Swyx [00:25:28]: Let me let me double-click on this. Okay. So for example, Neon, I happen to know that they're very sort of S3 oriented, right? so they're just like fully bet on S3. And you get to benefit from S3's distribution and infrastructure. So I would imagine that Neon doesn't have to care, whereas Lynn maybe has to care a bit more because obviously she's doing GPU inference. And, for listeners, we did an episode with her, one and a half years ago. And you have to care. But like, right?Ivan [00:25:54]: Parag cares for sure, and Nikita.Swyx [00:25:58]: And Parag is C of, Parallel.Ivan [00:25:59]: Parallel, yeah.Swyx [00:26:00]: Former CTO of Twitter.Ivan [00:26:01]: Twitter, yeah.Swyx [00:26:02]: They are the search.Ivan [00:26:03]: Yeah, they're search, yeah.Swyx [00:26:03]: I You and I know but the listeners don't know.Ivan [00:26:08]: Yeah, we can put it down in the screen, and so ‘cause we, when we were talking.Swyx [00:26:11]: I'll put it up on the, on the screen.Ivan [00:26:12]: Yeah, right.Swyx [00:26:12]: People can look it up if they need.Ivan [00:26:14]: Look it up. And, yes, but they still have CPU and RAM, allocation that you have to have up and running. And so CPU and RAM, you have to allocate that and have that ready. And so there's basically two ways to do it. One is you either over-provision and you can handle the bursts, or two, you basically have, I don't know if this is a term, just-in-time compute, which is like as your load becomes, as your usage comes in, you can fire off requests for VMs or bare metals at other cloud providers and then get them up and running.Swyx [00:26:43]: This is if you go above 100%, right?Ivan [00:26:45]: Yeah, this is.Swyx [00:26:46]: Like your overflow.Ivan [00:26:46]: If your overflow, like spillage or whatever you do.Swyx [00:26:48]: You probably lose money on it, but it doesn't matter, right?Ivan [00:26:50]: It, not Well, you might, you might not That is a more cost-effective way to do it but it's a slower way to do it. Because basically what you have to do is you have to like queue your requests, spin up these just-in-time compute, get it all ready, provision it, and then get your workload there. And so if the time isn't important that much, that's fine, and you can do that. But if your customer, and especially for, let's say, the RL training runs, the reason why a lot of people come to us is because GPUs are more expensive than CPUs, right? So you want your GPU running at, what, 100% the entire time. And so when you're running runs on CPUs, when the when the CPU cycle is like down and spinning up the next one, you want that to be instantaneous so that your GPU doesn't go down, right? And if you then have to like go out and provision machines, you're essentially telling the GPU that it has to wait, and that's incurring our cost. So there's things that you have to try to solve for there.RL Workloads, Declarative Images, and Kubernetes ReplacementSwyx [00:27:43]: Yeah, let's talk about the different workload, right? You said that, what was it? A few months ago, you had zero RL workload and now it's 50%.Ivan [00:27:52]: It will be this one, 50%, yeah.Swyx [00:27:54]: Let's talk about how different it is, right? Like I imagine, for example, a lot less dynamic code generation of like arbitrary code. Like here, it's probably all the same code. You're just doing parallel runs or something, I don't know.Ivan [00:28:05]: Yeah. So you'll have multiple Depends on the like for each run, you'll have a snapshot. And they, for the most part, they actually do use our declarative image builder, which is like, “Oh, we, the agent wants these dependencies, these env vars.”Swyx [00:28:17]: These ones, yeah.Ivan [00:28:18]: Yeah, the declarative image builder, it.Swyx [00:28:20]: Which is a very modal like thing that they.Ivan [00:28:22]: Yeah. And so we build it on the fly and then we propagate that snapshot, and you can spin up as many sandboxes as you want against that snapshot. And then if you have to do changes, the model can, or like it could be also be automated. It's like, “Oh, now for the next run, we need to install these things or remove these things or whatever to get, a task done,” and then it goes off and runs that. So yes, that is something that it seems that they prefer. The number one reason I found, or should I say, let's take a step back. What we are competing against in that environment is essentially managed Kubernetes. So EKS, GKE, whatever. That is what the vast majority run on. And anyone that has tried Daytona versus GKE, EKS is like, “I'm never going back.” That has always been. There's a few reasons. One is the ergonomics. So if you have, if you're using Kubernetes to spin that up, you have to essentially manage the interface interactions with that. Daytona, although as a compute provider, it's more akin to a Twilio and Stripe from a consumption perspective than it is an AWS. Like you have an API, an SDK, it's quite like easy and seamless to get these things up and running, that's one. The other is the speed to which we spin up, which we mentioned earlier, which is much faster, and the scale to which we can go to. We haven't got into features, but an interesting feature is that it's very hard to OOM, or out of memory, our sandboxes, because we can dynamically on the fly.Swyx [00:29:48]: Resize.Ivan [00:29:49]: Resize, which is like impossible on almost any other thing. There are some technologies that enable you to do that, but it's like a very hard thing. And so we actually saw this when, the Terminal Revenge team is, brought us actually. So thank you, Alex and the team, that brought us into this whole space.Swyx [00:30:05]: It's just very rare that, a framework would just say, “Guys, just use Daytona.”Ivan [00:30:11]: Yeah, I think it says it somewhere. Yeah.Swyx [00:30:13]: Yeah. I was like, “What is this?”Ivan [00:30:15]: There's all, there's multiple there, but they also mention a few other places. and so Daytona specifically-We have, the, just jumping on themes here We, I don't know where it says Data Center.Swyx [00:30:27]: I, there.Ivan [00:30:27]: Doesn't matter.Swyx [00:30:28]: There's a very strong recommendation, which is, very unusual. Which is, it's.Ivan [00:30:33]: We do not pay them for this, just.Swyx [00:30:34]: I know, yeah. They just like you.Ivan [00:30:35]: Yeah, they like us. yeah, and also a thing, so, Data Center has multiple isolation sets underneath. The customer doesn't have to know what they are. But basically we have Docker, which is a container, that's hardened with Sysbox. So it's Docker's, isolation that is a security equivalent to a VM, but it's still a container. And that is the default, and they, especially in these training workloads, really like that as an interface to be able to use just a basic Docker container, and we enable Docker and Docker. Which for these RL runs, if you need to do a Docker compose or Kubernetes, you can spin up a K3S inside of these things, which unlocks a huge amount of workloads that you can do that you cannot do on other providers. So just on that part is much more interesting. And so we went that, through that. We showed them that we could do that, and they enjoyed that quite a bit. They being the general venture people.Swyx [00:31:28]: Those people, yeah.Ivan [00:31:29]: And Harbor people.Swyx [00:31:29]: Harbor people, do are they, are they a company yet?Ivan [00:31:33]: As far, I do not know.Customer Pull, Slack Connect, and the Computer Use BetSwyx [00:31:35]: Okay. All right. Yeah. It's like super obvious that like, there's a lot of excitement and success around these things, okay, so yeah, tell us more, right? Like, this is an exploding workload, Harbor adopted you, which helped speed things along. But what are you learning as this new workload comes online?Ivan [00:31:53]: There's a couple things that we learned, which we chat about in the beginning. We, and this has led our story, as we mentioned, we like talked to a lot of customers along the way, and we add more features and more tool sets as we talk to customers. And it's interesting that And I think it's that the ecosystem is so small and/or the models get smarter, where when we see one user come with a request, we know it goes on a roadmap if like three to five customers come with the same request in that week. It's like very bizarre. It happens so many times, which is.Swyx [00:32:27]: Because they're all friends.Ivan [00:32:28]: Sorry?Swyx [00:32:28]: They all, they're all friends. They're all in the same group chat.Ivan [00:32:30]: Yeah, probably, yeah. ‘Cause and they're like, “Oh, can you do this?” And I'm like, “Okay, this is interesting. We'll put it on a feature request.” And then the next one's like, “Oh, can you do this?” “Okay.” It's all the same, right? It's always the same. And so what we try to do, and I personally try to do, I try to be on as many call, quote-unquote “sales calls” I can. I'm in every Slack channel. We literally have about 1,000 Slack Connect channels, something like that. It's an interesting, there's so many interesting things you find out when you have all the Slack channels. You can also see where people, transfer between companies. You see leave Slack channel, enter Slack channel. It's an interesting thing. Also, just I digress, I feel that Slack Connect is literally LinkedIn what it should be. You have a list.Swyx [00:33:08]: LinkedIn charges you to, use your own connections, but Slack doesn't, right? Slack is like, do it for free. It's more lock-in. It's great.Ivan [00:33:15]: Yeah. It's amazing. Yeah. It's one of the reasons.Swyx [00:33:17]: You're gonna pay Slack for life.Ivan [00:33:18]: Exactly. You're there for life. So that's interesting. And so one of the things, the newer things we were talking about earlier is we made a big bet and put a lot of investment on computer use. that is not seen publicly the light of day. We haven't GA'd that yet, but we have.Swyx [00:33:32]: Is there a thing I can pull up?Ivan [00:33:33]: There is computer use there. It's right up a bit.Swyx [00:33:36]: Oh, yeah. Okay.Ivan [00:33:38]: What we have, what we talked about and what we've seen publicly is there's this theme now about, the human emulator where And Elon from XAI has talked about this publicly, and if you think about the models today, they're actually quite sophisticated and they can do a lot of work, but they still don't have access to all the tools. Like, I'm a strong believer that the most efficient way for an agent to work is essentially headless or through, terminal or whatnot. But if we, if we look at knowledge work in general, there's about 100 million knowledge workers in the US, about a billion in the world, and knowledge workers, and the salaries of them aggregate to 10 trillion in the US 50 trillion worldwide.Swyx [00:34:24]: Wow.Ivan [00:34:25]: Something like that. And if we look at, the five most important sectors of that, so like healthcare and government and financial services and whatnot, that's about 56% of that. So let's say it's about half of that. So in the US it's about 25 trillion, and most of them, most of that work is actually still locked into legacy apps inside of Windows, which is not going anywhere for a very long time. Like, people just won't invest in that. How much of it? our assumption is the following: if, in the RPA market, which is similar market, well, not the same 25% of, these white collar, workers', work is automated. If an agent is more sophisticated, can go through more runs, figure stuff out, let's say it's, 40%, right? And so if you take 40% of that, you get to essentially, $10 trillion a year.Swyx [00:35:17]: That's a TAM.Ivan [00:35:18]: That is a that is a TAM. So that's the TAM of the models, right? That's not our, essentially ours. But you get to that size, and to be able to do that, you essentially have to give agents these computers with the legacy. So computer use, either Mac or Windows or Linux. Linux we also obviously have and others have. But Windows specifically is something very new, and the only option right now is an EC2 with, Windows or on Azure. Both of them take anywhere from three to five minutes to spin up. We've created an actual sandbox, so it's a second instead of milliseconds, but you have, point in time snapshots, you have, forking, you have all the things that you have from a sandbox, but essentially enables you to hopefully unlock all this value. And so that's been our big push and bet, but we've sort of, kept our ear to the ground. What is sort of the next things in the market?RPA Returns: Why Agents Still Need ComputersSwyx [00:36:06]: Yeah, knowledge work, and building, and sort of RPA, the next wave of RPA. I got very excited about RPA kind of during COVID times. The UI path was IPO-ing. And it was, a very hot Isn't it, Eastern European?Ivan [00:36:20]: It is, Romanian.Swyx [00:36:21]: Romanian?Yeah, it might be the only Romanian, big unicorn okay, yeah. This I don't I don't, I don't have like a I think there's, I think there's a stage being set for the resurgence of RPA, ‘cause everyone understands that, yeah, no one wants to deal with these shitty apps and no one's gonna rewrite them. Like, you just have to do, a remote operation and programmatic operation of them.Ivan [00:36:45]: If you wanna unlock it, my own setup was basically the following. So I was doing a board deck recently, last month, whatever, and I'm like, “Okay, let's just, let's just do automated.” So, all our data's in, ClickHouse and PostHog and QuickBooks, where everyone else's is, and I'm basically, connected that all to, my Cloud code, like go off and go Cloud code whatever. Go off and, here's the integrations, go do that. It pulled out the first report, which was great. It connected to Brex and all these things, pulled it, which was great, and then I say, “Okay, now pull out this, and this,” and I kept getting, really well McKinsey-style design reports, but the data said partial data. all the missing data, partial data. Like, it can't access all the things, and I got so frustrated, and so I got, I got, my Mac Mini virtual sandbox with OpenClaw. I gave it its own account in our company, and then I went to all these services and created a read-only account, so literally like an intern in your company. And so I would say, “Now go and do this report,” and it would get the same, or like, “I can't via the MCP or the API or whatever. I can't get all the information.” I'm like, “Go log in.” And it will log into the website, then go in, export the data. It'll export the data and do the thing end to end. So even for things that have today APIs, not all of it is exposed, and I to get value, I get immense value right now, but it has to be a computer usage, unfortunately, and so I spend a bunch of tokens just on that, but I get the job done. And so if even a startup like ours, and using all the hottest tools, still needs a computer agent what hope does, Goldman have to have a headless, right?Swyx [00:38:22]: Yeah, what a - Why isn't Microsoft doing this?Ivan [00:38:27]: I'm pretty sure, Satya had a post yesterday.Swyx [00:38:29]: Oh, okay. I see.Ivan [00:38:29]: Which was like, “Every agent needs a computer.”Swyx [00:38:31]: I see, I see.Ivan [00:38:32]: So they have launched something recently.Swyx [00:38:34]: Yeah, they have Microsoft Power Automate, I'm sure, I'm sure, they're gonna have their version.macOS Sandboxes, Apple Constraints, and the Windows OpportunityIvan [00:38:39]: Version of that, yeah.Swyx [00:38:39]: You're gonna try to do yours, and it - I always know there's always demand for Mac, but I know it's, tricky to host, macOS sandboxes.Ivan [00:38:49]: We will have macOS sandboxes fairly soon. The problem with macOS, OS sandboxes is, I'm deep in this, I don't know how much interesting is.Swyx [00:38:55]: No, it's.Ivan [00:38:56]: MacOS has this problem.Swyx [00:38:57]: It's a licensing thing, right?Ivan [00:38:58]: Licensing thing. So one, you're allowed to run only two parallel VMs per machine, so that's one. Two, you can only license to a different user every 24 hours. So if you come in and theoretically, if I wanna charge you per second and I charge you one second, I have to have it idle for the rest of the day. I can't have anyone else doing that. So the pricing will be different in the sense that I will have to - we would have to charge for 24 hours, and that's not even, that's not even the most difficult thing. But the, thing above that is, from a security perspective, they enable you to do memory snapshot, pause, resume, but only on the same physical drive, physical machine. And so what you can do in, Windows world or Linux world is that I can move in the background, your snapshot from one to the other and manage load, right? Here, if you wanna do that, you essentially have to have your.Swyx [00:39:49]: Yeah, snapshots. Yeah.Ivan [00:39:50]: Your.Swyx [00:39:51]: It's like.Ivan [00:39:51]: Physical machine.Swyx [00:39:52]: You can't break it up.Ivan [00:39:53]: You can't, you can't move things around that, and all of that is, that part is, from a security standpoint, if it is written. Like, I understand the security aspect of that, but it disables you from doing these agentic, like really scalable agentic workloads.Swyx [00:40:08]: You need to do a vibe-coded, clean room implementation on macOS that you can then - That's like Clean OS or something. I don't know.Ivan [00:40:17]: So. We have.Swyx [00:40:18]: ‘cause like Linux was originally like a clean room rewrite of Unix.Ivan [00:40:21]: Okay. Yeah.Swyx [00:40:21]: Or something like that, right? Like same thing to macOS. Someone needs to do it.Ivan [00:40:25]: Someone will do that, and someone will have some long-running agents for a few days to figure this stuff out. But yeah. So definitely we - we're really close to offering something ‘cause people do want it, but the pricing will be different, and the feature set will be sort of stringent.Swyx [00:40:38]: Yeah, nobody's gonna use this. like, the labs, the labs will because they want to automate macOS.Ivan [00:40:42]: They have to do RL. They have to do RL again. But even if you The - So the point is with the RL part, if you, if you do RL on macOS, then the next iteration of the model comes out, it will be able to use these tools significantly. Then you actually need to run those, that somewhere. So you're gonna have to have that, later on. And from, if anyone at Apple is listening, I very much feel that they are shooting themselves in the foot of the scale of the revenue of compute or licensing they could get if they would just enable a concurrency model similar to what you can get on a Windows and a, and Linux.Swyx [00:41:17]: Yeah. Yeah. And I'm sure they've heard this before. They just don't care. Yeah, it's And maybe they will change their mind with the new CEO.Ivan [00:41:24]: Yeah. We'll see.Swyx [00:41:25]: We'll see.Ivan [00:41:25]: High hopes.Swyx [00:41:26]: High hopes.Ivan [00:41:26]: High hopes.Swyx [00:41:27]: Okay. But I, it's very clear the market opportunity is huge in Windows, and you can go for a long time on just Windows, but your customers are gonna want both. and I think, it is interesting to me that, this is the sort of God application of agents, right? Like, I don't It was - How big was OpenClaw for you guys? Like, was it, was there, a significant bump.OpenClaw, Agent Labs, and the B2B2C Sandbox MarketIvan [00:41:54]: Not for us because we.Swyx [00:41:54]: Because you already.Ivan [00:41:55]: We're kind of positioned differently. Whereas although it's completely PLG and we have individual developers that use it, most of the users that use Daytona are sort of a B2B2C. Sort of it's either B2B or B2B2C. So, in the researcher world, it's B2B, so you're selling to, labs and neo labs and things like that. But on the long-running agents, it's mostly, from a scale revenue perspective, it's mostly B2B2C, where you have a app layer agent that uses you at a big scale.Swyx [00:42:26]: Like a Manus. Yeah.Ivan [00:42:28]: Like a Manus Lovable type of thing.Swyx [00:42:31]: Yeah. I think that's the question of, well how, um-Uh, yeah, B2B to C is basically to me what I've been calling an agent lab, which is kind of like you're not in a model lab, but you're making a very good wrapper that is a platform that other people can sign up so they don't have to code those things. Yeah, it sound, it sounds like a much better market than the direct OpenClaw market.Ivan [00:42:56]: I've like - We I've done multiple things. So the CodeAnywhere's part of our career path R in the calendar, was very much an end user developer product. And so that is great. It You can get a lot of developer love, and I feel that we do as a company have a bunch of developer love. But it's a different type, where it's people building these things. Again, it's more akin to a Twilio because you don't really run - As a person, you wouldn't run Twilio. I don't know how many people remember. It was like ask your developer billboard and whatnot. And people really love Twilio, but they only used it inside of like, “Oh, I'm building this app or service for thing.” And so we're very much directly to that. And you also know that I used to work for a competitor for Twilio, so it's kind of ingrained, in my DNA.Swyx [00:43:35]: People don't know InfoBip is that big.Ivan [00:43:38]: Yeah, it's.Swyx [00:43:39]: Because.Ivan [00:43:40]: It's a billion euro.Swyx [00:43:40]: They're all American. They're like, “Whatever's in Europe doesn't matter to me.” But like it's the, it's the same size or bigger? Same size?Ivan [00:43:46]: It's about half the size.Swyx [00:43:47]: Half the size?Ivan [00:43:48]: Yeah, about half the size.Swyx [00:43:48]: It's like, yeah.Ivan [00:43:48]: Still huge. Multiple billions a year. Yes.Swyx [00:43:51]: That's crazy.Ivan [00:43:51]: Exactly, and so that - These are like really interesting and large revenue-generating, very sticky businesses. Whereas when you're selling to the - When your focus is the end developer, it is a very hard sell because they're very price sensitive, very price conscious, very around that. And there's very It's very hard to scale. Your cap is the number of people that are willing to spin up - First of all, wanna spin that up, and then spin up multiple of these. Whereas if you're in the enterprise one, like we know everyone's talking about like how many tokens they're spending, I'm spending. Like a lot of companies today are like, “If this is our company, spend as much as you can.” Like basically that is where we're going. And so if you think about that paradigm, where you're selling to companies that say, “Spend as much as you can to generate, productivity,” versus, “Oh, I'm a single person. I have this much budget, and I'm doing this thing because it's fun or it's helping me out or whatever.” Like it is a different, it's a different go-to-market, I think, strategy.MCP, CLIs, and Sandboxes as the Agent RuntimeSwyx [00:44:50]: Yeah, there's a lot of discussion. I'm just kind of going through like the mental list of things that are in your favor, which is, for example, MCP versus CLI. Like obviously you want CLI. It's been very good for you. I feel like it's maybe a drop in the bucket or maybe it's huge. I'm just checking whether it's like these are big trends.Ivan [00:45:10]: Those things you - work well in our favor, to your point just because every.Swyx [00:45:13]: They're kind of drop in the bucket, right?Ivan [00:45:15]: I think it's like sort of all the things come together. And so there's so many things that impact that. To your point, like OpenClaw wasn't huge for us, but like having the agent SDK, from Anthropic, so or Cloud Claude Code was very interesting. The reason why it was interesting is that a lot of, let's call them app I don't know what to call them, app layer agent companies, essentially they are like, “Oh, I can create this new app, this new agent. All I need, I just use Claude Code, and I throw it into a sandbox, and then I have my interface to the human to that.” And so that enabled so many more companies to actually offer this, and then they would pull on sandbox. So that was, that was interesting. And to your point, like MCP, versus the CLI, the MCP is an interface against an API, whereas the CLI is like you can actually go do things. Like this is it. The difference between integrations and actually running scripts or data or analysis against a thing. So being able to use a CLI very well enables the agent to do more things, and it's because that people will invoke a sandbox, they'll run it in the CLI, and but it'll do anal-analysis on that data and then give you an actual result versus just, pulling data from an API source.Swyx [00:46:29]: Yeah, it's a layer of indirection basically, it's the same thing as agentic search versus RAG, which where you're.Ivan [00:46:34]: Exactly, yeah.Swyx [00:46:34]: Just like you just win whenever people put more agents into their workflow. And so like it doesn't really matter, but I'm just kinda teasing out like what else have people heard about that like it's sort of, “Oh yeah, this is another sandbox use case. Oh yeah, that's another one.” Am I, am I missing any big ones?Ivan [00:46:51]: The thing, the thing that people, which is the computer use stuff, which I think is probably the most interesting one, is, and to your point, we've talked to so many people over the last year. It's like, “Oh, like why do you need a sandbox? Why do you need this? Why this?” And to your point, it's like, “Oh, I need sandbox for this. I need sandbox for that. I need sandbox-” It's like, “Oh, I need it for every single thing.” And so basically what I, what I - and it sounds like a broken record, it's like you use a laptop every single day, right? And you are n of one. It's just you. But now imagine how And by the way, the laptop, the computer PC market, the PC market is about equal to the cloud market in total. So it's about 150, 180 billion a year. Something like that. It's about roughly the three cloud hyperscalers is about equal to like Apple, HP, Lenovo, whatever, It's a little bit less, but it's sort of like that. And now imagine And that's just like, so how big is the addressable market? What, how many people are there in the world now? What's the last data?Swyx [00:47:45]: Let's call it eight billion.Ivan [00:47:46]: Eight billion. And so let's say you can have two computer, like you have one personal and one business, whatever. Like so it's double that, right? and so that's 16 billion, right? How many agents are gonna be running in two years, in 10 years, in 100 years? Like And for every single task, they will need one of these. And so how big is that? That market is essentially quote unquote “infinite”. You will get to the point, and Dylan Patel was at the conference talking about, from SemiAnalysis, that talks usually about GPUs, was also talking about how CPUs will now be a bottleneck because it will be the constraint. You won't be able to grow, or we won't be able to have enough of these because there won't be enough CPUs to basically do.Swyx [00:48:23]: Yeah. Well, I actually had a really good podcast with Doug Oliphant, who, which was his president at SemiAnalysis, where they've basically been like, yeah, it's been a GPU shortage first, but then it's cascaded down to memory and now to CPUs.Ivan [00:48:35]: CPU, yeah.Swyx [00:48:35]: It-What's next? So networking. So, networking actually has been in shortage for a while if you're looking at, just GPU networking. But, yeah, it's really crazy the amount of computer use that's going on, yeah, cool. I, other questions are, just the one very big part is the open sourceness which you didn't have to do, your competitors don't do, like it's not, a lot of people are worried about keeping their projects open source because some competitor can just slot fork it. I don't know if there's any reflections on just being an open source company.Open Source, Trust, and Enterprise ProcurementIvan [00:49:15]: Yeah. There's a bunch. So we the original product that we did was open source.Swyx [00:49:19]: Yeah. CodeAnywhere.Ivan [00:49:20]: So doing that was actually very good for us. There's basically a saying of, What's the saying? Like, companies that are, that are doing really well, measure themselves against, free cashflow, that are kinda okay, it's EBITDA, then, it's, it goes all the way down.Swyx [00:49:36]: The worst is like GitHub stars.Ivan [00:49:37]: GitHub stars. GitHub stars are the worst, yeah. So you go all the way down to GitHub stars. And so our original one was GitHub stars. That's what we talked about, we're at the point we're talking about revenue, so we're we've gone up the stack on that. And so we started.Swyx [00:49:47]: No, profit.Ivan [00:49:48]: Yeah. We haven't, we're, we'll get there. We'll get there. But basically at that point we did stars and GitHub and it was useful, and the original variation that we did, it we split the core into its own repo and it was Apache 2.0, so very, permissive. And then we basically would bundl

Steve Kerr returned as the face of Golden State's coaching staff Friday at Chase Center, where he discussed the process he and the Warriors organization went through to keep him as coach for another two seasons. Kerr also discussed the changes needed both on and off the floor for the Warriors to get back on track as a contending organization. On "Dubs Talk," Monte Poole and Dalton Johnson break down the shift in philosophy the Warriors will have to make to compete in an evolving NBA. Later, they interview Coach Kerr and ask him what factors went into his decision to return and how he sees a pathway forward for an organization in need of rekindling past success. -- (1:00) Alignments between Kerr/Dunleavy on state of Warriors (4:00) Biggest on-court takeaways (8:00) Shifts to be made beyond the roster (11:00) Will the Warriors go big-game hunting in the NBA offseason? (18:00) Steve Kerr interview Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In Hour 4 LIVE from Chase Center, the guys discuss the current fan status of several of the Bay Area fan bases, including the Golden State Warriors' fans who might not be content with their team.

In Hour 3 LIVE from Chase Center, Willard and Dibs are joined by former Golden State Warriors NBA Champ Andrew Bogut to discuss his memories from the NBA Draft lottery, favorite Steve Kerr moments, whether the Warriors should trade for LeBron James or Giannis. They also revisit their bet on whether the Giants could reach .500. Also, is it OK to EVER cheer for the Los Angeles Dodgers?

In Hour 2 LIVE from Chase Center, Willard and Dibs reveal the Giants' lineup for tonight's game against Shohei Ohtani and the Dodgers. The everlasting conversation with Bryce Eldridge continues, and what options the Giants have with their top prospect. At the end of the hour, the guys play the Giannis survivor game.

In Hour 1 of Willard and Dibs LIVE from Chase Center, Mark Willard and Dan Dibley open the show by discussing the San Francisco Giants winning their second straight at Dodger Stadium against the Los Angeles Dodgers. Could the Giants finally reach the .500 mark? It seems like a steep mountain, but they could be able to climb it. They're also joined by MLB Network Radio analyst and The Athletic columnist Jim Bowden, who argues that Bryce Eldridge should get everyday at-bats in Triple-A.

On this episode of the SeventySix Capital Sports Leadership Show, Wayne Kimmel interviewed Paris Dupree, Vice President, Senior Counsel in Business and Legal Affairs at OneTeam Partners.Prior to joining OneTeam, Dupree served as Vice President and Assistant General Counsel at JPMorgan Chase, where she led and negotiated major sponsorships and partnerships across  the company's Sports, Entertainment, Media, and Brand businesses—including the firm's partnerships with Madison Square Garden, the US Open, and the Chase Center, as well as global events such as the JPMorgan Corporate Challenge, the world's largest corporate running event. Her early career was shaped at leading law firms, including Morgan, Lewis & Bockius LLP, Pepper Hamilton LLP (now Troutman Pepper LLP), and Cooley LLP, where she gained significant experience in venture capital, mergers and acquisitions, and advising private equity funds and growth-stage companies across technology, life sciences, and digital media sectors. A proud graduate of Brown University, Dupree earned her degree in Organizational Studies: Commerce, Organizations, and Entrepreneurship. While at Brown, she was captain of the Women's Lacrosse Team, earning First-Team All-Ivy and Academic All-Ivy honors, and also competed in basketball as a dual-sport athlete her freshman year. In 2010, she was selected to the U.S. National Women's Lacrosse Team—the first Brown player in more than a decade to earn that honor. She was recently inducted into Brown University's Athletic Hall of Fame, recognizing her enduring contributions to the university's athletic legacy. Dupree later earned her J.D. from The George Washington University Law School. Dupree's leadership and impact extend beyond her professional role. She was recognized as the 2024 Young Woman Professional Award recipient by the New Castle County Chamber of Commerce, honoring her professional excellence and community contributions. She currently serves on Brown University's President's Advisory Council on Athletics & Recreation, focusing on long-term strategic planning, and as a member of the Board of Trustees at Sanford School, an independent, college preparatory school in Hockessin, Delaware, where she plays an active role in advancing the school's mission, shaping strategy, and strengthening community engagement. Dupree resides in Wilmington, Delaware, with her husband, Vern, and their 5-year-old son, Cairo. Family is central to who she is, and she can often be found cheering on her husband and father's Delaware State Hornets basketball team or supporting Cairo's activities. Paris Dupree:LinkedIn: https://www.linkedin.com/in/parisdupree/Chapters02:07 Understanding One Team Partners' Role in Sports Licensing03:58 Commercial Partnerships and Their Impact on Athletes08:07 Structuring Fair Deals for Players and Brands09:59 Collaboration with Player Associations12:06 The Fun and Meaningful Aspects of Paris's Job14:11 Paris's Athletic Background and Its Influence18:03 The Similarities Between Sports and Business22:04 Mentorship and Leadership in Paris's Career30:17 The Future of Sports and Player Opportunities

Hour 1: Savannah Guthrie's Mother's Day post. Taylor Frankie Paul was mad on Mother's Day. Britney Spears will also be associated with the albino Burmese python snake. Is listening to Alice 97.3 the easiest way to get concert tickets these days? The Giants won 2 out of 3 games against Pittsburgh, and they're headed to LA! The Hantavirus ship passengers are returning home - including to the Bay Area. Your word of the day: Humanol. Oh boy… Hour 2: The Kevin Hart roast was RAUNCHY. Tom Brady stole the show with his revenge. The Rock's jokes are totally NSFW. Kevin Bacon was attacked by bees. ‘Hit Me Hard and Soft' was disappointing at the box office. ‘The Devil Wears Prada' is #1. Let's talk about the 1990s. Sarah and Vinnie can only remember grunge music, but the internet remembers these fads. Hour 3: Sarah and Vinnie as tussling. The good news: Matt Damon was great on SNL. The bad news: He's being sued. We have a new OnlyFans star! Did Shannon Elizabeth inspire Jaime Pressly? Can you remember when Martha Stewart went to jail? What about Paris Hilton? Let's play a game! Sugar is a nickname not everyone can pull off. You should get what you want for Mother's Day - even if it's to be left alone. Science! All of life on Earth can be traced back to ONE ancestor, and it's even older than you think. Well, swallowing is better than prison. Hour 4: Demi Lovato is at the Chase Center tonight! Who is the oldest rocker on tour this summer? Does Bob even know these guys? Eric Clapton storms off stage after being struck in the chest by a vinyl record sleeve thrown from the audience. Billie Eilish doubles down on her controversial meat-eating take. Cara Delevingne is doing music. Debbie Harry and Pamela Anderson are playing mother and daughter in an upcoming comedy. Vinnie's got an update on gas prices - it's about to get even worse. These women in China don't need men. Plus, the most popular baby names, and How Old Is That Guy?

Demi Lovato is at the Chase Center tonight! Who is the oldest rocker on tour this summer? Does Bob even know these guys? Eric Clapton storms off stage after being struck in the chest by a vinyl record sleeve thrown from the audience. Billie Eilish doubles down on her controversial meat-eating take. Cara Delevingne is doing music. Debbie Harry and Pamela Anderson are playing mother and daughter in an upcoming comedy. Vinnie's got an update on gas prices - it's about to get even worse. These women in China don't need men. Plus, the most popular baby names, and How Old Is That Guy?

Steiny & Guru discuss what the internal conversations are at Chase Center, especially with the Draft Lottery coming up in four days!

Live from the Chase Center in San Francisco, Peter gathers four leading venture investors to discuss the shifting landscape of private markets. This special episode features Salil Deshpande (Uncorrelated Ventures), Amit Patel (Owl Ventures), Vignesh Ravikumar (Sierra Ventures), and Corey Goodman, PhD (venBio Partners).The episode covers why gross margins have become the most critical metric for AI model companies and how the rise of secondary markets is challenging the traditional ten-year fund structure. They explore the new "efficiency benchmarks" for startups, where founders are expected to reach milestones faster with significantly less capital and headcount.We also dig into the reality of AI in biotech, the "Nvidia problem" regarding value capture, and why massive fund sizes often lead to a regression to the mean. Plus, the guests share the data points they wish they had, from true product retention to the complex inner workings of human biology.Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/Chapters:00:30 – Salil Deshpande: AI gross margins and value creation01:29 – Why the rate of AI improvement is still increasing02:02 – Secondary markets and the end of the 10+2 model03:28 – How massive fund sizes impact price discipline04:40 – Amit A. Patel: The shift in efficiency benchmarks06:17 – Personalized learning and AI's impact on education08:00 – Justifying longer exit timelines with larger outcomes09:47 – Matching capital deployment to fund strategy11:42 – Vignesh Ravikumar: Building in the hyperscale era13:00 – Capturing value outside of the model layer13:41 – Fund size as a driver of conviction and ownership14:50 – The unknown data on AI product retention15:13 – Corey Goodman, PhD: Turning science into medicine16:11 – Why AI is overhyped in the world of biology17:50 – Why the 10-year model still works for biotech19:27 – Why mega funds regress to the mean in life sciencesThis presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2026 eShares, Inc., dba Carta, Inc. All rights reserved.

Steiny & Guru wonder how the Warriors are going to overcome the amount of misses and shortcomings that have put them in a spot where there's a ton of desperation inside of Chase Center...

Welcome to Art is Awesome, the show where we talk with an artist or art worker with a connection to the San Francisco Bay Area.  This week, Emily chats with Kara Maria, a painter and printmaker based in San Francisco Episode Highlights: Kara discusses her large-scale wood panel print on display at Chase Center in San Francisco, created at Magnolia Editions in Oakland with master printer Tallulah Terrell How a monarch butterfly painting became the starting point — and then had to be modified — for the Chase Center commission Her colorful aesthetic, rooted in 1970s cartoons, Spirograph, comic books, and Japanese woodblock prints (particularly Hokusai) The influence of her husband, Mexican artist Enrique Chaya, and their travels to Mexico on her color palette Childhood memory of a school librarian who gave her a shelf in the library for her handmade illustrated books Her journey from music school to painting — and why she knew she could never stop making art Her love of Bay Area edges: the Marina, Ocean Beach, and the view from Mount Davidson Why her studio, SF MoMA, the de Young, and the Legion of Honor all hold special meaning About Artist Kara Maria: Kara Maria is a visual artist working in painting, drawing, printmaking, and public art. Her recent work addresses climate change, biodiversity loss, and their significant impact on humanity. She meticulously paints miniature portraits of threatened, endangered, and extinct animals amid fields of flying shapes, twisting lines, and swirling colors. These works celebrate the joy and exuberance of life, emphasizing the incredible variety of existence on our planet. Maria received her BA and MFA from the University of California, Berkeley. She has exhibited work in solo and group shows across the United States at venues such as the de Saisset Museum at Santa Clara University, CA; the Sonoma Valley Museum of Art, Sonoma, CA; the Nevada Museum of Art, Reno, NV; the Contemporary Arts Museum, Houston, TX; and the Katonah Museum of Art in New York. Maria has been selected for awards and honors, including the Masterminds Grant from SF Weekly; a grant from Artadia; and an Eisner Prize in Art from UC Berkeley. Her work has received critical attention in the San Francisco Chronicle, the Los Angeles Times, and Art in America. She has been awarded artist residencies at the Montalvo Arts Center, the Recology Artist in Residence Program, Djerassi Resident Artists Program, and the de Young Museum Artist Studio. Maria's work is part of the permanent collections of the Berkeley Art Museum and Pacific Film Archive; the Cantor Arts Center at Stanford University; the Crocker Art Museum, Sacramento; the Fine Arts Museums of San Francisco; the Frederick R. Weisman Art Foundation, Los Angeles; the Museum of Fine Arts, Houston; and the San Jose Museum of Art, among others. Born in Binghamton, NY (1968), Kara Maria now lives and works in San Francisco, CA. Links & Resources: Visit Kara's Website: KaraMaria.com Follow Kara on Instagram:  @Kara Maria Art Kara Maria's work is on display at Chase Center as part of the Homegrown Series (alongside work by Masako Miki, featured in Episode 60) CLICK HERE FOR MORE INFO -- Coming Up Next: Episode 70 on May 19th — Emery Douglas, graphic artist and former Minister of Culture for the Black Panther Party. His show Emery Douglas: In Our Lifetime is at the African American Art and Culture Complex in San Francisco through October. -- About Podcast Host Emily Wilson: Emily a writer in San Francisco, with work in outlets including Hyperallergic, Artforum, 48 Hills, the Daily Beast, California Magazine, Latino USA, and Women's Media Center. She often writes about the arts. For years, she taught adults getting their high school diplomas at City College of San Francisco. Follow Emily on Instagram: @PureEWil Follow Art Is Awesome on Instagram: @ArtIsAwesome_Podcast -- CREDITS: Art Is Awesome is Hosted, Created & Executive Produced by Emily Wilson.  Theme Music "Loopster" Courtesy of Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 License The Podcast is Co-Produced, Developed & Edited by Charlene Goto of @GoToProductions.  For more info, visit Go-ToProductions.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The Chase Center in San Francisco is one of the City's newest and greenest buildings. It is the basketball home of the Warriors and Valkyries, and it is also LEED Gold Certified, which means it meets the highest standards of sustainability. Making sure employees and fans are able to enjoy the game with minimal negative environmental impact is Kayla Hidayat, Chase Center's Sustainability Coordinator. We had a chance to sit down and chat about some of the things that make the arena so "green!" Learn more at https://chasecenter.com/sustainability/ or @chase_center on social media.  As I always mention, you can write to us at: ⁠infatuasianpodcast@gmail.com⁠, and please follow us on Instagram and Facebook @infatuasianpodcast Check out our NEW website https://infatuasian.com Let me know what you think of it! (it's a work in progress) Our cold open is by @cornerclubofficial. Our theme, “Super Happy J-Pop Fun-Time” by Prismic Studios, was arranged and performed by @invictusquartet Cover Art and Logo designed by Justin Chuan @w.a.h.w (We Are Half the World) #asianpodcast #asian #asianamerican #infatuasian #infatuasianpodcast #aapi #veryasian  #asianamericanpodcaster #representationmatters  

Steiny & Guru discuss what Draymond's future will become and if Curry will get re-upped. Plus, Brandin Podziemski speaks for the final time this season so we go LIVE to Chase Center.

Steiny & Guru eulogize the Warriors 2025-26 season after getting beaten by the Phoenix Suns in the Play-In and where they go from here... Kerr, Curry, Draymond, Podziemski, Melton, Horford, and Porzingis all demands decisions! Plus, Mike Dunleavy got a new contract? Is it time for Joe Lacob to move on? Exit Interviews from Chase Center sprinkled throughout the show from Podz & Horford.

Steiny & Guru break down the choices of a couple of option-eligible players in De'Anthony Melton and Al Horford. Then, we listen to Horford at the Chase Center podium.

HOUR 1 - We preview the Giants’ upcoming three‑game series in Cincinnati and what to watch as the road trip continues. Plus, we recap Bruce Springsteen lighting up Chase Center last night, then digress — naturally — into an important life discussion on the value of napping.See omnystudio.com/listener for privacy information.

HOUR 1 - We preview the Giants’ upcoming three‑game series in Cincinnati and what to watch as the road trip continues. Plus, we recap Bruce Springsteen lighting up Chase Center last night, then digress — naturally — into an important life discussion on the value of napping.See omnystudio.com/listener for privacy information.

Sam Lubman and Joe Shasky open the Morning Roast by discussing the Golden State Warriors' loss to the Los Angeles Lakers last night at Chase Center, and why Shasky called them the straw that broke the camel's back.

Kenny Caraway from ESPN1320 Sacramento joins Steiny & Guru to discuss the fiasco from Tuesday at Chase Center and Curry's return with Porzingis and Horford tonight in Sac.

Willard and Dibs' full show from Monday, April 6th. In Hour 1, Willard and Dibs react to Steph Curry returning after more than two months off, break down how valuable he still is at age 38, and more.   In Hour 2, Willard and Dibs react to what Steve Kerr told them about the "machine" that is the NBA, break down how that relates to some of the hate that Brandin Podziemski gets from Warriors fans, react to Podziemski getting booed at the Giants game on Friday night, and more.   In Hour 3, Willard and Dibs chat with comedian Frank Caliendo in person, recap the day that was at Chase Center with 95.7 The Game's 3rd Annual Knockout Tournament, and more.   In Hour 4, Willard and Dibs chat with Warriors head coach Steve Kerr about Steph Curry's return in last night's loss to the Rockets, to break down what happened at the Knockout Tournament at Chase Center today, and more.

Willard and Dibs join Steiny and Guru (who are live from Chase Center after 95.7 The Game's Annual Knockout Tournament) on a Monday edition of the Crossover. The guys react to Guru's Knockout Tournament performance, discuss how Steph Curry looked in his return to the floor for the Warriors last night, and debate what it means that Brandin Podziemski got booed at the Giants game at Oracle Park on Friday night.

In Hour 3, Willard and Dibs chat with comedian Frank Caliendo in person, recap the day that was at Chase Center with 95.7 The Game's 3rd Annual Knockout Tournament, and more.

In Hour 4, Willard and Dibs chat with Warriors head coach Steve Kerr about Steph Curry's return in last night's loss to the Rockets, to break down what happened at the Knockout Tournament at Chase Center today, and more.

The Warriors fell 117-116 to the Houston Rockets, but Steph Curry's return gave Golden State a much needed shot in the arm. On "Dubs Talk," Dalton Johnson and Monte Poole break down Curry's dazzling 29-point night off the bench in his much-anticipated return from a 27-game absence. (02:00) - Steph Curry is back! Steph got a 45-second standing ovation when he first entered the game and he put on a show (03:30) - Threesus has risen and the fans at Chase Center got re-baptized to the church of Steph Curry on Easter Sunday (05:30) - After Steph dusted off the rust, Chef Curry cooked for 29 points in 26 minutes and looked like himself. (07:30) - Curry brought the Warriors hope and Draymond Green backed him up with energy of his own (10:30) - Steve Kerr says Warriors are back in the mix with Steph back (15:00) - Curry's performance tonight, and rest of the season is a recruitment to Kristaps Porziņģis to stay (18:15) - Curry is preparing for more meaningful games (24:30) - Steph and Seth finally got their moment to share the court together on the same team in the NBA Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In the 4th segment of Steiny and Guru Steve Kerr Makes a Surprise appearance during the Knockout Tournament live from Chase Center

Guru joins the knockout tournament live from Chase Center to knock-off the 2x defending champion Marc Grandi

In Hour 2 of Steiny and Guru, we begin the 957 The Game Knockout Challenge from Chase Center

In Hour 1 of Steiny and Guru live from Chase Center for the Knockout Challenge they discuss Steph coming back from injury last night and Podz getting boo'd at the Giants game

We have a game at the Chase Center for the 957 The Game Knockout Challenge Live at Chase Center

In the 7th segment of Steiny and Guru live from Chase Center the discuss the job of Tony Vitello so far and how the National Media has caught onto the struggling Giants

With the Chase Center fans watching, Steph Curry — who finally completed five-on-five action in practice — went through his full pregame warmup. The intense workout is the latest step in his return, expected on Sunday. If he does return, that's four games he'll get before the play-in. Marcus Thompson, Tim Kawakami and The Athletic's Warriors insider Nick Friedell discuss what Curry's return means for this season and next. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

On this episode of Catholic Forum, Faces of Impact in partnership with Catholic Charities of the Diocese of Wilmington returns with a continuation of the discussion on Msgr. Thomas Reese and the Annual Tribute Dinner. In this episode Abigail Klous is joined by Ellen Barrosse, a recipient of the Reese Award, to reflect on the importance of the Tribute Dinner in supporting the work of Catholic Charities. The Tribute Dinner is scheduled for Wednesday, April 15th at the Chase Center, you can get tickets and find out more about this year's Reese Award recipient, Stephen Hyde on the Catholic Charities website: https://www.ccwilm.org/events/cc-dinner/ On this special Easter episode, in addition to the Faces of Impact interview, and the usual news update from the Dialog, you'll also hear a seasonal Easter music interlude, and Bishop William Koenig's Easter Message for 2026.  As always, listen to the complete audio version of Catholic Forum on Apple, Spotify, iHeartRadio or Amazon Music podcasts. If you're in Delmarva or South Jersey you can also listen on Saturdays at 1:30 PM on Relevant Radio 640. Catholic Forum is a production of the Office of Communication of the Diocese of Wilmington (supported by the Faith and Charity Appeal!) Please like, subscribe and share.

From 'Warriors Plus Minus: A show about the Golden State Warriors' (subscribe here): With the Chase Center fans watching, Steph Curry — who finally completed five-on-five action in practice — went through his full pregame warmup. The intense workout is the latest step in his return, expected on Sunday. If he does return, that's four games he'll get before the play-in. Marcus Thompson, Tim Kawakami and The Athletic's Warriors insider Nick Friedell discuss what Curry's return means for this season and next. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Steiny & Guru chat with The Morning Roast about their day at Chase Center, Podz the lightning rod, and the Giants Opening Night!

Steiny & Guru wonder if Steve Kerr gave us a little insight into what's really happening inside of Chase Center...

Steiny & Guru relive their conversations from yesterday and reveal their biggest takeaways from Chase Center. Boys are FIRED UP on a Pay Day Friday!

Steiny & Guru discuss the biggest takeaway from Chase Center yesterday, Podziemski's comments about Curry, Kerr coming down Steiny's road, Guru's big invitation, scouting abilities, best college prospects, pairing top-4 picks with the current Warriors roster, and fading dynasties.

Size matters… but not that much. Need Friday plans? Brandy Carlisle is playing the Chase Center tomorrow night! Nashville is getting a Sphere! What's going on with SF's mini spheres? Lil Uzi Vert is having issues with their insurance due to the diamond in their forehead. Check Sarah and Vinnie out on YouTube! Vinnie's telling us what's going on in the Bay Area, including Hype Con and Granny Con this weekend. 3D printed homes are here. Well, they're in Yuba County. Plus, When Did That Happen?

Hour 1: Bob's Movie Club presents: Frankenstein (2025). Who is the real monster in this story? Because it certainly isn't Jacob Elordi in his bandage booty shorts. Sarah, Vinnie, and Bob discuss the movie and share listener thoughts. Does it count as a sandcastle if it has scaffolding? Is Vinnie harboring a childhood crush in his dreams? Hour 2: Britney Spears has been arrested for a DUI. A disgusting Survivor first happened on last night's episode. Rob bought Maura a Birkin bag! An update on the bay area woman who was throwing parties for underaged kids. Sitting next to your partner on a flight means someone needs to be in the middle seat. Is this necessary, or should we be getting a seat divorce? (52:09) Hour 3: Let us solve your problems! Email us at badadvice973@gmail.com You can expect a Rob Reiner tribute at the Oscars. Will Barbra Streisand be included?? The Beckhams wished Brooklyn a happy birthday. The inspiration for Jurassic Park is in the Epstein files, but he says it's all about his dino chicken project! A Game of Thrones movie is in the works! Prince Andrew is being evicted. Should Meghan Markle move in? Bridgerton Part 2 is here. Vinnie is remembering his futon days. Here are things that make millennials feel like they've made it. Vinnie gives us a lesson on Irish good byes. (1:31:56) Hour 4: Size matters… but not that much. Need Friday plans? Brandy Carlisle is playing the Chase Center tomorrow night! Nashville is getting a Sphere! What's going on with SF's mini spheres? Lil Uzi Vert is having issues with their insurance due to the diamond in their forehead. Check Sarah and Vinnie out on YouTube! Vinnie's telling us what's going on in the Bay Area, including Hype Con and Granny Con this weekend. 3D printed homes are here. Well, they're in Yuba County. Plus, When Did That Happen? (2:17:55)

Hour 2: Silver & Carlos Ramirez recap their conversation with Jennifer Lee Chan and carry it into the 11:00 hour, where they rank the 49ers' most pressing areas of need. While offensive line is the number one most talked about deficiency among listeners, does it rank above other needs such as D-line or wide receiver? NBC play-by-play voice Noah Eagle also stops by ahead of calling Warriors vs Clippers tonight at Chase Center.See omnystudio.com/listener for privacy information.

NBC play-by-play announcer Noah Eagle joins Greg Silver & Carlos Ramirez ahead of tonight's Warriors vs Clippers matchup at Chase Center. They dive into Darius Garland's anticipated Clippers debut and the Warriors' struggles without Steph Curry. Noah shares his insights on how the absence of top players affects the team's style and the importance of developing young players like the Warriors' newly paid Gui Santos. They also discuss the issue of tanking in the NBA and potential solutions, including reversing the lottery odds to incentivize teams to compete.See omnystudio.com/listener for privacy information.

The Lakers celebrated Luka Doncic's birthday with a trip to the Bay Area as they ended the mini road trip in the confines of the Chase Center with a contest against the Golden State Warriors. And with a depleted Golden State roster on tap, the Lakers gave Luka a great present with an efficient LeBron James (22 points, 9 assists 7-13 shooting) and Austin Reaves (18 points 7-11 overall), a productive bench with Luke Kennard and Jake LaRavia (a combined 31 points on 7-13 from three), and the birthday boy himself (26 points, 8 assists on 9-17 from the floor) blew out the Golden State candles himself putting the finishing touches with a hot streak from three to start the second half as the Lakers cruised to a lead more than thirty points and finished up with an easy 129-101 victory over the Warriors. Tune in as the guys from the LFB share thoughts on the game, wish Luka their own Happy Birthday, and give everyone a heads up on what's up next for the team. It's the Lakers and Warriors as LA celebrates Luka's birthday on the Lakers Fast Break podcast!Gerald appeared on the Stephan Piscano Podcast! Check out their conversation today at https://youtu.be/iyR-3qR3LVI?si=NxLGOhLtRFGwQq-wFollow @DripShowshop for some awesome sports or pop culture merchandise!The MVP Race is heating up, and Best League has got it covered on his site https://mvprace.top/Joe's new game Coreupt is OUT NOW on Steam. Play it today!Lakers Fast Break now has YouTube memberships! Join today at / @lakersfastbreak and for just $2.99 a month, you get access to LFB badges and emojis, channel page recognition, and more! Check out Stone Hansen on Twitter @report_court, Alfred Ezman @alfredezman, and John Costa's channels: Clutch Talk- / @clutchtalkpod and Lakers Corner- / @lakerscorner and Legend350 on his new channel / @sportslegend2018Special Deals today from our friends at #temu today at https://temu.to/m/u1samwbo8cc use code: aca785401 and you might save some $$$ at TEMU! Take a look at the line of Kinhank Mini PC's and retro game machines today at https://www.kinhank-retrogame.com?rs_ref=e8NA2Rm2 for some gaming and computing fun from Kinhank! Please Like, Share, and Subscribe to our channel and our social media @lakersfastbreak on Twitter, Instagram, Facebook, Twitch, on BLUESKY at @lakersfastbreak.bsky.social, e-mail us lakersfastbreak@yahoo.com or catch our audio of the Lakers Fast Break today at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://anchor.fm/lakers-fast-break⁠, Spotify, Apple Podcasts, or your favorite podcast outlet!The views and opinions expressed on the Lakers Fast Break are those of the panelists or guests themselves and do not necessarily reflect the official policy or position of the Lakers Fast Break or its owners. Any content or thoughts provided by our panelists or guests are of their opinion and are not intended to malign any religion, ethnic group, club, organization, company, individual, anyone, or anything.Presented by our friends at ⁠⁠⁠⁠⁠⁠⁠⁠⁠lakerholics.com⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠lakersball.com⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠Pop Culture Cosmos⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠Inside Sports Fantasy Football⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠Lakers Corner, @DripShowshop, ⁠⁠⁠⁠⁠⁠⁠⁠⁠SynBlades.com⁠⁠⁠⁠⁠⁠⁠⁠⁠, I Got Next Sports Media⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠The Happy Hoarder⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠Retro City Games!

The Golden State Warriors' blowout 133-112 win over the Memphis Grizzlies was led by rookie guard Will Richard's team-high 21 points. On "Dubs Talk," Bonta Hill and Monte Poole break down the Warriors' short two-game roadtrip, before looking ahead to Golden State's matchup against the Los Angeles Lakers at Chase Center, and more. (02:30) - Warriors blowout the Grizzlies to secure even split on two-game road trip (07:00) - Warriors need to have better starts to be successful. What do Warriors do with their rotation when all their vets are back? (17:00) - Could starting Al Horford be the key to Warriors getting off to good starts? (22:30) - Is Warriors playing well without Draymond Green becoming a trend? (28:30) - How can Steve Kerr adjust the rotation to get the Warriors rolling early? (33:30) - Warriors need to see how Kristaps Porziņģis the rest of the season (36:00) - Moses Moody's consistency has been underrated (41:00) - Jonathan Kuminga went off for 27 points, 7 rebounds, and 4 assists in his Atlanta Hawks debut (50:00) - Warriors next four against Lakers, Clippers, Rockets and Thunder could all be winnable games depending on health Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In Hour 1 of the Morning Roast, Joe Spadoni and Joe Shasky debrief about the Golden State Warriors' clutch, undermanned victory last night over the Denver Nuggets at Chase Center. They also touch on the magical gold medal victory from the United States' Men's Hockey team at the Olympics.

In Hour 1 of the Morning Roast, Joe Spadoni and Joe Shasky debrief about the Golden State Warriors' clutch, undermanned victory last night over the Denver Nuggets at Chase Center. They also touch on the magical gold medal victory from the United States' Men's Hockey team at the Olympics. In Hour 2, Spadoni and Shasky discuss Draymond Green's injury and the Warriors' underman playing well in his absence. Shasky suggests he should come off the bench from here on out. In Hour 3, Spadoni and Shasky continue discussing Draymond Green's role with the Warriors. They also touch on Team USA's gold medal in men's hockey. In Hour 4, Spadoni and Shasky discuss the excitement around Spring Training for the San Francisco Giants. They also ponder if Pat Riley's Miami Heat team could've beaten the Golden State Warriors dynasty era team had they stayed together.

The Castro Theater is making its grand return. Lil Jon's missing son has been found dead. The founding guitarist of Cake, Greg Brown, has passed away. The bassist from the 70s band Television has also passed away at 77. Christian McCaffrey stepped in on piano for Zach Bryan at the Chase Center this weekend. Are The Eagles calling it quits? Vinnie says touring is more boring than you think. Don't forget to watch ‘Sinners' for Bob's Movie Club this week! Stupidity at its finest: Donuts on ice.

Hour 1: Sarah is checking in on our Super Bowl prop bets. Vinnie is revealing the secret ingredient to sugar free brownies. Stefon Diggs and Cardi B didn't get engaged at the Super Bowl - did they break up? PSA: Valentine's Day is THIS SATURDAY. People just don't understand the ocean. Be safe out there! What does the crap in your car say about the state of your mind? Hour 2: Sarah and Vinnie are still giggling about some of the Super Bowl ads. Lindsey Vonn's Olympic moment was not what we were hoping for. The car brands were noticeably absent from Super Bowl ads. Here were our favorite ads from the show. It seems like the adversity he faced made most people root for Bad Bunny. He must be relieved that it's over. Is “Vagueposting” the most annoying trend on social media? Birkenstocks are the new wedding shoes, but you'll need to shell out. (48:14) Hour 3: The SF Marathon is no joke. A horrible update on Savannah Guthrie's mother. On the bright side, Bad Bunny brought the party. There's a little more smoke around the Alix Earle and Tom Brady dating rumors. The gang isn't impressed by this year's streaker. Someone cashed in big on a coin flip prop bet. America ate a lot of wings yesterday. Plus, the best dig of the weekend. Why is it called the Super Bowl anyway? Vinnie still can't believe he has a theatre kid in his house. Here's your daily dose of nostalgia. (1:32:07) Hour 4: The Castro Theater is making its grand return. Lil Jon's missing son has been found dead. The founding guitarist of Cake, Greg Brown, has passed away. The bassist from the 70s band Television has also passed away at 77. Christian McCaffrey stepped in on piano for Zach Bryan at the Chase Center this weekend. Are The Eagles calling it quits? Vinnie says touring is more boring than you think. Don't forget to watch ‘Sinners' for Bob's Movie Club this week! Stupidity at its finest: Donuts on ice. (2:14:56)