Podcasts about Cloud9

Grab your snowboards! Will and Sabrina are watching “Cloud 9” starring Luke Benward, Dove Cameron and Mike Manning. This film premiered in 2014 as a Disney Channel Original Movie.See omnystudio.com/listener for privacy information.

Go to http://rocketmoney.com/optic to reach your financial goals faster. New users get $50 when they play their first $5 lineup on https://www.prizepicks.com using code: OpTic OpTic Gaming Merch: https://shop.opticgaming.com/ Check out the OpTic SCUF collection and use code “OpTic” for a discount: https://scuf.co/OpTic Check out the OpTic Podcast here: https://podcasts.apple.com/us/podcast/optic-podcast/id1542810047 https://open.spotify.com/show/25iPKftrl0akOZKqS0wHQG Why the Cloud 9/Bush Drama Isn't Good for COD | The OpTic Podcast Ep. 278 00:00 - Intro 00:26 - Drake and LeBron Join the Pod!! 03:12 - Surge Drop TJHaly 04:20 - MaNiaC Has a GF?? 07:52 - Cloud 9 vs. Bush 20:48 - Most Expensive Buyout in COD History 22:40 - More C9 vs. Bush 26:48 - Gentle Mates Trade Envoy 28:02 - Standy Joins Ravens, Craze Dropped 29:20 - Gwinn Dropped from Surge 30:42 - Nastie Leaving Breach?? 32:15 - Prize Picks 33:48 - Rocket Money 35:41 - Rostermania Recap 37:11 - NEW CDL Maps! 38:11 - How OpTic Can Bounce Back in Stage 4 42:46 - Dashy's 1v2 Quick Scope 45:51 - Huntsmen Update (Swooty/Owakening) 53:06 - AT&T Annihilator Cup Recap 59:06 - Happy GTA 6 Release Day! 01:00:11 - Renegade Qualifies for Halo LAN 01:02:02 - The Most Expensive Pizza EVER 01:03:08 - Kai Cenat/AMP Returning? 01:05:03 - Do We Take iPhones For Granted? 01:05:52 - New Ferrari Reveal 01:06:55 - Jay and Fatty Need Help Learn more about your ad choices. Visit megaphone.fm/adchoices

On the 239th episode of the Ego Chall Podcast, Justin Binkowski and Preston Byers discuss the reveal of Call of Duty: Modern Warfare 4 (MW4), Estreal signing with the Paris Gentle Mates, Wevy's controversial signing with Cloud9 New York, and much more.

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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

Discounted Masters London Tickets (this makes Sliggy rich) https://www.ticketmaster.co.uk/artist/5688993?venueId=436769&did=ukrgiot20

An original 6-part audio anthology series, by Kobold Blue Productions. A post-apocalypse story in Britain. An AI-powered arranged marriage app. A Lovecraftian ghost story set on Mars. There's something for everyone in this strange, thrilling, chilling, funny collection of sci-fi audio dramas; Black Mirror meets Love, Death & Robots, for radio! Link: https://koboldblue.com/cloud9audio RSS Feed: https://feeds.acast.com/public/shows/cloud9

You'll never look at failure the same way again. — Support and sponsor this show! Venmo Tip Jar: @wellthatsinteresting Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@wellthatsinterestingpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Bluesky: @wtipod Threads: @wellthatsinterestingpod Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@wti_pod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Listen on YouTube!! Oh, BTW. You're interesting. Email YOUR facts, stories, experiences... Nothing is too big or too small. I'll read it on the show: wellthatsinterestingpod@gmail.com WTI is a part of the Airwave Media podcast network! Visit AirwaveMedia.com to listen and subscribe to other incredible shows. Want to advertise your glorious product on WTI? Email me: wellthatsinterestingpod@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of the SeventySix Capital Sports Leadership Show, Wayne Kimmel interviewed Marc Reeves, Global Head of Strategic Partnerships for Fever. Reeves is an investor and advisor across various sports properties including Leeds United, CD Leganes, Cancun FC and Blue Crow Analytics.  He was previously Head of Brand, Football, for Nike.  In this role, he was the consumer and marketplace lead for the company's business across NFL, NCAA, High School, Grassroots and Performance.  Previous to this role, Marc was GM, Nike+, responsible for the company's connected membership ecosystem including vision, brand and connecting all consumers through digital (apps, Nike.com), physical (DTC, wholesale, events) and related products (e.g. Apple Watch Nike+).  Prior to joining Nike, Marc was the NFL's first ever International Commercial Director, where he led partnerships and marketing for the league outside of the US.  He added on the responsibilities of Managing Director of NFL Canada during his tenure.  His prior experiences include various roles at IMG (now Endeavor), including Vice President, Consulting where he led the agency's global relationships with Visa, Electronic Arts, Wells Fargo, and he worked in the Athlete Management division at ProServ.  In addition, he co-founded a sports-based social gaming company, Lionside, which was acquired by Japanese mobile company, ngmoco:).  Marc is on the Board of Directors of Relo Metrics.  He is also a Board Advisor to Cloud9 esports, Sportable, Web3 Pro, Screen Skinz, a Techstars Sports Mentor and on the Advisory Board of the Tulane Sports Law Program.Marc has been a featured speaker at numerous venues including Stanford Graduate School of Business, Kellogg School of Management, University of Michigan, Tulane Law School, Leaders (UK), Sports Lawyers Association and Ivy League Sports Symposium. He has been interviewed and quoted in various media outlets including The New York Times, CNN, ESPN, Reuters, Irish Times, The Nikkei and the Sports Business Journal. Marc has been an adjunct professor of Sports Marketing at University of San Francisco. He earned a JD/MBA from Tulane University, with a specialty in Sports Law, and a BA from Kalamazoo College, where he was a member of two NCAA Division III National Championship Tennis teams.Chapters00:00 Introduction to Mark Reeves02:05 Mark's Journey in Sports Management05:24 Transitioning from Agent to Executive09:51 Building the NFL's International Presence12:51 Engaging Fans through Technology18:19 Memorable Brand Collaborations and Campaigns22:34 The Power of Storytelling in Sports Marketing25:09 Innovating Live Experiences with Data29:21 The Intersection of Sports and Entertainment32:05 Expanding the Reach of Football33:54 Investing in Soccer: A Personal Journey39:35 The Future of Soccer in AmericaMarc Reeves:LinkedIn: https://www.linkedin.com/in/marcjreeves/

What does it really mean to be part of a supporter's group? Why are they so important to the evolving soccer culture in the US, in women's soccer, + the NWSL specifically, and what does Cloud 9 do on a day-to-day basis, but also to push the sport forward through advocacy outside of cheering on Gotham for 90 minutes?In this episode, LDG asks these questions and is honored to be joined by the two people who can answer them best, Cloud 9 members Nat and Marge!LDG, Marge, and Nat go behind the scenes of Cloud 9, as three members of Gotham's official supporters' group, and delve into the passion and community that make the match-day atmosphere at Red Bull Arena, wait, Sports Illustrated Stadium so electric.Nat and Marge open up about what it means for them personally to be part of the supporter group Cloud 9 and walk us through what a match day looks like behind the drums, the tifos, the banners, and the chants, breaking down their roles in the match-day atmosphere.LDG also shares his experience as a Cloud 9 member, carrying the iconic torch ahead of a match last season on the pitch, and participating in the Cloud 9 Prideraiser for the Ali Forney Center.We also dispel some of the biggest myths about supporters' groups, especially for those who have attended matches but are unsure of what being part of the supporters' group really entails.Finally, we reflect on Gotham FC's journey from the old Sky Blue days at Yurcak Field to becoming one of the most successful teams in the league, and what the team has done to maintain its identity and success on the field.This conversation gives you an inside look at what makes Cloud 9 such an integral part of the Gotham culture, highlighting the people who helped turn a soccer club into something much bigger.Thank you for listening! Remember to follow us wherever you get your podcasts, on Instagram (@the_womens_soccer_podcast) and Bluesky (@thewomenssoccerpod.bsky.social). In addition, leave a 5-star review and tell all your friends about our show!

We hope you've enjoyed the world sports known as the Winter Olympics. We've enjoyed them so far and now we're in the Paralympics, so there's more cold ways to try and die for us to watch. Disney has also made a movie about that. So we watched it.    Follow us on Twitter (or X), Instagram, BlueSky and Facebook @1kissmeans4ever. Email us at onekissmeansforever@gmail.com. Listen to Flint Pastures on Apple Music. Make sure to rate and review us! And support us on Ko-fi https://ko-fi.com/onekissmeansforevergmailcom0344

Country singer Megan Moroney bonds with Drew talking about relationships and spills on her latest album Cloud 9. 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

In today's episode, LDG previews the Gotham FC 2026 NWSL season alongside Cloud 9 members Nat and Marge!Over the course of today's conversation, Nat, Marge and I talk about Gotham's incredible championship run and break down everything that's happened since the final whistle in San Jose and the NYC victory parade.First off, we'll look back at the rollercoaster ride that was last season, from making the playoffs on the goal differential tiebreaker to knocking off shield-winners KC Current and reigning champions Orlando Pride en route to winning the NWSL Championship against Washington. Then we'll react to the Jaedyn Shaw signing and what it means immediately for Gotham and what it could mean in the future.Next up, we dig into Gotham's offseason, talking about expectations and hopes we had going into the offseason, and what surprises occurred.We looked at the signings of NWSL veteran Sav McCaskill, rookies like Andrea Kitahata and Jordynn Dudley, as well as the importance of Midge Purce staying with the team and the re-signings of Kayla Duran and Katie Stengel.With every offseason, players also depart the club, and we talked about how those players' departures impact the club, specifically touching upon Ella Stevens and Josefine Hasbo moving to expansion side Boston Legacy, Gabi Portilho to San Diego Wave FC, and Stella Nyamekye to Brann.We then look ahead to the future and play a fun game, determining which three players whose contracts will expire beyond the 2026 season we would want the club to re-sign, with stars like Ann-Katrin Berger, Rose Lavelle, Jess Carter, and more included.To wrap up the episode, we bring back our classic 5-4-3-2-1 format as a series of quick questions that provide us with some predictions and wishes as we head into the new season.Thank you for listening! Remember to follow us wherever you get your podcasts, on Instagram (@the_womens_soccer_podcast) and Bluesky (@thewomenssoccerpod.bsky.social). In addition, leave a 5-star review and tell all your friends about our show!

Cloud9's shocking collapse, Canyon's dominance, Inspired's masterclass, and Caps' clutch performances headline this breakdown of LCS Lock-In, LEC Finals, and the ongoing LPL Playoffs. The episode dives into why C9 fell apart, how Inspired controlled every early game for LYON, why Canyon felt like the “no-key” MVP despite Gen.G's dominance, and whether Caps or Inspired deserves the top spot after carrying their squads through high-pressure moments. Plus: the heated debate on whether G2 or LYON truly comes out ahead, and where LPL teams stand as playoffs intensify.   NOTE: This episode was recorded prior to the 2026 America's Cup starting.   Head to https://factormeals.com/powerspike50off and use code powerspike50off to get 50 percent off and free breakfast for a year!   Livetrade on LoL today on Polymarket: https://polymarket.com/?via=lastfreenation-eeux Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Inspired might now be the best player in North America after another incredible LCS title run! We break down everything from the LCS playoff upsets to LPL and LCK finals previews, plus a look at BFX at First Stand and G2 vs KCorp. We cover how Inspired consistently outperforms Blaber with elite decision-making, why Cloud9 collapsed in the finals, how individual laners like Thanatos and APA struggled under pressure, and why Lyon's unexpected run is so impressive.   Right now, DripDrop is offering podcast listeners 20% off your first order. Go to https://dripdrop.com and use promo code SUMMONING.   Secure your online data today by visiting https://ExpressVPN.com/SUMMONING to find out how you can get up to four extra months.   Raycon's Essential Open Earbuds are perfect for refreshing your routine this spring! Go to https://buyraycon.com/LFNOPEN to get 20% off.   Livetrade on LoL today on Polymarket: https://polymarket.com/?via=lastfreenation-eeux Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week's episode of The Dive Driven by Kia begins with a lengthy conversation about the play-off finals: Lyon vs Cloud9 Kia. After battling through three separate Bo5s this weekend, Lyon caused quite the upset in our hosts' week one power rankings. Two teams have punched their tickets to the Americas Cup, while one powerhouse team is headed to First Stand… but it may not be who we originally thought!Plus, the players will be working with the newest release: Patch 26.5. With plenty of item buffs, Kobe is looking forward to more flexibility in builds for a wide range of characters. There's also midlane nerfs, could it be enough to shake up the pro scene?Finally, our hosts noted how many amazing fans of The Dive they were able to meet this past weekend! Seeing the energy and support at the live events means the world to both the casters and players. Thanks for coming by!Timestamps:0:00 - Intro1:30 - Cloud9 vs LYON Finals Review19:07 - Closer Look at LYON Saint25:06 - Revisiting Power Rankings28:06 - Americas Cup Lookahead33:22 - Scrims vs Stage39:35 - Patch 26.5

T1's shocking playoff collapse, the cvMax controversy, and the rise of GenG, G2, and the LPL's top contenders headline this week's breakdown of global League of Legends action. From T1's defeats to FearX and Dplus—described as some of the biggest upsets in years—to the explosive fan discourse around cvMax and Career , we dive deep into every major storyline. We also cover G2's seemingly unstoppable playoff form against KC, predict the AL vs. BLG collision course in the LPL playoffs, and evaluate why the LCS remains a one-team region with Cloud9 in dominant form.   Sign up for your one-dollar-per-month trial today at https://shopify.com/SUMMONING   The Essential Open Earbuds are here to help you go for gold! Go to https://buyraycon.com/LFNOPEN to get 15% off.   Livetrade on LoL today on Polymarket: https://polymarket.com/?via=lastfreenation-eeux Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Megan Moroney was our featured artist for "Woman Crush Wednesday", because she just released her 3rd studio album "Cloud 9". To promote it, she's doing a fun "9 shows, 9 cities, at 9am, for $9! As it turns out, she was doing one in Kansas City that day, and a co-worker's daughter saw the one in Nashville over the weekend...

LOUD drama, T1 on Fraud Alert, GenG and Cloud9 on top, and LEC Playoff reactions take center stage in this week's Power Spike!   Use code LFN at https://mantasleep.com to unlock 10% off your purchase at Manta Sleep!   Right now, DripDrop is offering podcast listeners 20% off your first order! Go to https://dripdrop.com and use promo code LFN.   Livetrade on LoL today on Polymarket: https://polymarket.com/?via=lastfreenation-eeux Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this week's episode of The Dive Driven by Kia, we're looking forward to LCS Superweek! Friday (yes, we said Friday), Saturday, and Sunday each feature a best-of-five showdown live from the Riot Games Arena in Los Angeles!Starting by breaking down the jungle-heavy patch, Meteos declares an insta-ban on Graves. Shifting to the standings, power rankings have been shaken. Confidence in TLAW wavers while the performance from DSG exceeds previous expectations. After getting schooled by Cloud9, will FlyQuest bounce back and apply the lessons they learned against LYON?LCS SUPERWEEK begins FRIDAY, February 20th at 1pm (PT) with the face-off between TEAM LIQUID and DSG. Tickets are on sale now, come see us live! We'll see you there!Get your tickets here: https://www.tixr.com/groups/lcs/Timestamps:0:00 - Intro16:49 - Late game: Baron & Elder20:37 - SUPER WEEK begins THIS FRIDAY!22:21 - Patch Notes: 26.442:22 - Lookahead to SUPER WEEK!47:59 - SEN vs DSG Recap01:03:02 - TLAW vs DSG01:08:42 - FlyQuest vs C9 Recap01:18:24 - LYON vs FLY01:25:04 - SUPER WEEK Predictions!

Timestamps0:00 Intro0:30 MKOI Pause controversy10:02 LEC LCS prediction tracker + Playoff formats23:03 LCS C9 vs. FLY + Dom33:35 LCS predictions44:22 LEC timestamp enjoyers1:07:17 Vedius ragebait. EU Greater than NA

On the 212th episode of the Ego Chall Podcast, Justin Binkowski and Preston Byers discuss the Los Angeles Thieves releasing Kenny, Cloud9 New York dropping its entire team for Challengers players, Call of Duty League (CDL) players reversing their decision about GAing sniper rifles, and much more.

The boys break down Kenny's removal from LA Thieves, Scrap's thoughts on OpTic's involvement, Cloud9 drama and the upcoming CDL online matches.

Did Los Ratones Just Make The Greatest Comeback Ever? Power Spike dives into a wild week across global League of Legends! Los Ratones deliver another huge 2-1 run in the LEC, Bin's shocking departure-and-return saga stuns BLG fans, HLE's collapse enters the superteam hall of shame, FlyQuest and Cloud9 shine in a revitalized LCS, and the LCK prepares for a historic LCK Cup Final in Hong Kong.   Visit https://prizepicks.onelink.me/LME0/POWERSPIKE and use code POWERSPIKE and get $50 in lineups when you play your first $5 lineup!   Raycon's Everyday Earbuds Classic are here to help you go for gold! Go to https://buyraycon.com/powerspike to get 15% off. ​The world's largest prediction market: https://polymarket.com/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Eind vorig jaar werd een artikel gepubliceerd in the Astrophysical Journal Letters met de titel "The First RELHIC? Cloud-9 is a Starless Gas Cloud". Wat er zo bijzonder is aan een plek zonder sterren hoort u in deze aflevering, tenzij u natuurlijk besluit niet te luisteren.Why not finding stars has astronomers on Cloud-9:https://www.astronomy.com/science/why-not-finding-stars-has-astronomers-on-cloud-9/  The First RELHIC? Cloud-9 is a Starless Gas Cloud:https://iopscience.iop.org/article/10.3847/2041-8213/ae1584Reionization:https://en.wikipedia.org/wiki/ReionizationFive-hundred-meter Aperture Spherical Telescope (FAST):https://en.wikipedia.org/wiki/Five-hundred-meter_Aperture_Spherical_TelescopeSteun deze podcast en koop het album met muziek:https://henszimmermanaudio.bandcamp.com/album/really-slow-tapesHey en bedankt hè, iedereen die mijn muziekjes al kocht! Geweldig.De Zimmerman en Space podcast is gelicenseerd onder een Creative Commons CC0 1.0 licentie.http://creativecommons.org/publicdomain/zero/1.0

In der ersten Folge des neuen Jahres geht es um Ruths Auftritt im Boulevard, die “Supersonne” und einen Himmel voller Regenbogen. Dann reden wir ausführlich über “Cloud 9”, ein Relikt aus dem frühen Universum das gleichzeitig auch ein RELHIC ist: Nämlich eine Gaswolke, aus der eigentlich Sterne entstehen hätten sollen, aber nie entstanden sind. Evi erzählt uns dann etwas über den Film “Oppenheimer” und die Versuche Deutschlands, eine Atombombe zu bauen. Wenn ihr uns unterstützen wollt, könnt ihr das hier tun: https://www.paypal.com/paypalme/PodcastDasUniversum Oder hier: https://steadyhq.com/de/dasuniversum Oder hier: https://www.patreon.com/dasuniversum

KNBR 49ers Insider Larry Krueger breaks down the 49er's defensive performance against the Eagles See omnystudio.com/listener for privacy information.

KNBR 49ers Insider Larry Krueger breaks down the 49er's defensive performance against the Eagles See omnystudio.com/listener for privacy information.

A snowboarder takes lessons from a former champion, inspiring him to reach for the stars once again. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Listen Now to the Future Now Show  This week we discuss  geopolitical shifts, emerging technologies, and astronomical discoveries. A significant portion focuses on the humanitarian crisis in Venezuela, highlighting how foreign powers and authoritarian regimes have impacted the nation’s resources and democracy. Our big interview this week is with the inspiring Kelly Durkin, a professional media creator pivoting to becoming a drone specialist.  The conversation explores innovative drone applications, with Kelly explaining their use in 3D mapping, agriculture, search-and-rescue operations, to spotting land mines. We also delve into how drones are affecting our privacy and what is personal air space.  Additionally, we touch upon Elon Musk’s influence on politics, SpaceX’s satellite reconfigurations, and the potential effects of solar cycles on the atmosphere. The show concludes with the discovery of Cloud 9, an ancient relic hydrogen cloud in deep space from the early Universe. Enjoy! Kelly Durking - Media Creator / Drone Pilot

Welcome to episode 335 of The Cloud Pod, where the forecast is always cloudy! Welcome to the first show of 2026, and it's a full house, too! Justin, Jonathan, Ryan,  and Matt are all here to reflect on 2025, plus bring you their predictions for 2026. Let's get started!  Titles we almost went with this week SQL Me Maybe: AlloyDB Gets Chatty With Your Database **OpenAI SELECT * FROM natural_language WHERE accuracy LIKE ‘100%’ **Anthropic etcd You Were Worried About Database Limits: CloudWatch Has Your Back CSV You Later: Looker Adds Drag-and-Drop Data Uploads AWS Spots an Opportunity to Manage Your Container Costs EKS Network Policies: No More IP Address Whack-a-Mole AWS Security Hub Splits: It’s Not You, It’s CSPM Spot On: ECS Finally Manages Your Cheapest Compute TOON Squad: DigitalOcean’s New Format Makes JSON Look Bloated The Price is Wrong: AWS Breaks Two Decades of Downward Pricing Tradition Show Your Work: Why AI-Generated Code Without Tests is Just Expensive Spam No More Agent Orange: Google Simplifies VM Extension Deployment AWS Discovers Prices Can Go Both Ways, Raises GPU Costs 15 Percent Sovereignty Washing: When Your European Cloud Still Answers to Uncle Sam Agent Builder Gets a Memory Upgrade: Google’s AI Finally Remembers Where It Put Its Keys Ctrl+F for the Future: A year-end Scorecard & Next-Gen Bets AI Agents, GPU Prices, and The best of the Cloud Pod 2025 Beyond the Hype: The Cloud Pods Definitive 2025 Year in Review Apocalypse Now… What? Our 2026 Forecast Follow Up  01:27 RYAN’S PREDICTIONS Prediction Status Notes Quick LLM models for individuals ACCURATE Meta-Llama-3.1-8B-Instruct, GLM-4-9B-0414, and Qwen2.5-VL-7B-Instruct—each chosen for an outstanding balance of performance and computational efficiency, making them ideal for edge AI deployment. A new AI inference application called Inferencer allows even modest Apple Mac computers to run the largest open-source LLMs. AI at the edge natively (Lambda-esque) ACCURATE Akamai launched a new Inference Cloud product for edge AI using Nvidia’s Blackwell 6000 GPUs in 17 cities. AWS IoT Greengrass with Lambda functions for edge logic. “Edge AI allows for instant decision-making where it matters most—close to the data source.” Cloud native security mesh multi-cloud UNCLEAR Service mesh technologies continue to evolve (Istio, Linkerd), but I didn’t find a breakthrough “app-to-app at the edge” security mesh product announcement in 2025. This one needs more specific evidence. Ryan Score: 2/3 02:25 MATTHEW’S PREDICTIONS Prediction Status Notes FOCUS adopted by Snowflake or Databricks ACCURATE FOCUS version 1.2 was ratified on May 29, 2025. Three new providers announced support: Alibaba Cloud, Databricks, and Grafana. Databricks officially adopted FOCUS! AI security/ethical standard (SOC or ISO) ACCURATE ISO 42001 is the first international standard outlining requirements for AI governance. Major companies achieving certification in 2025: Automation Anywhere is among the first 100 companies worldwide to earn ISO/IEC 42001:2023 certification. Anthropic also achieved ISO 42001 certification. Amazon deprecates 5+ services (WorkMail bonus) ACCURATE (no bonus) 19 services are mothballed, four are being sunset, and one is end of its supported life. Deprecated services include CodeCommit, Cloud9, S3 Select, CloudSearch, SimpleDB, Forecast, Data Pipeline, QLDB, Snowball Edge, and more. WorkMail NOT deprecated – WorkDocs was (April 2025), but WorkMail remains active. Matthew Score: 3/3 03:22 JONATHAN’S PREDICTIONS Prediction Status Notes Company claims AGI achieved ACC

What does it take for a brewery to become a true industry leader—a place so respected that 50 of the nation's best brewers all show up for your party? We're on location at Burgeon Beer Company, one of the most revered breweries in the San Diego beer mecca, to get an exclusive look inside their biggest event of the year. In this special episode, we're pulling back the curtain to answer one simple but powerful question: What's the secret sauce that makes a brewery the undisputed "cool kids" of craft beer?

Ready for offseason League of Legends deep dives, spicy esports takes, and some unexpected gaming and sponsor stories? In this episode of Summoning Insight, Thorin and Nymaera break down the controversy around KeSPA Cup's paywalled and region-locked broadcast, debate subscription models in esports, and compare them to traditional sports like rugby and the Premier League. They also preview the Demacia Cup as the “real” offseason tournament, explain why LPL teams often field full rosters, and reminisce about legendary Chinese players and historic LAN circuits. If you love in-depth LoL discussion, LCK/LPL ecosystem talk, and old-school esports storytelling with rough edges, this episode delivers. Stick around to the end for future plans, more regional coverage beyond the EU, and what's coming next on Summoning Insight.Come join LFN hosts and fans for some fun competition in Mechabellum this holiday season! Play in our 2v2 tournament on December 20th to have a chance to win $500 in cash alongside in-game rewards. Use code “LastFreeNation” in Mechabellum to earn a special, holiday-themed in-game reward (available starting the 18th of December).Mechabellum on Steam: https://bit.ly/4oLm3Jg Visit https://prizepicks.onelink.me/LME0/SUMMONING and use code SUMMONING and get $50 in lineups when you play your first $5 lineup! Exclusive $35 off Carver Mat at https://on.auraframes.com/SUMMONING. Promo Code SUMMONING Head to https://Fabletics.com/SUMMONING and sign up as a VIP to get eighty percent off everything! Turn your expensive wireless present into a huge wireless savings future by switching to Mint Mobile! Shop Mint Unlimited Plans at https://MINTMOBILE.com/SUMMONING Raycon audio products are up to 20% off this holiday season! Go to https://buyraycon.com/LFNOPEN to save on Raycon audio products sitewide. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Summoning Insight, we dive into the off-season chaos, roster rumors, and the big talking point: YamatoCannon allegedly coaching Los Ratones in the LEC Winter Split. Thorin and Yamato break down the drama, the criticism, and the fan narratives surrounding Yamato's coaching career — from his early days in MYM and Roccat, to Splyce's Worlds run, Vitality's shock upsets over RNG & Gen.G, Fnatic finals appearances, and even coaching in the LCK.  We then cover many of the roster moves and rumors in League of Legends esports, including those involving Cloud9, Team Liquid, Gumayusi, Tabe, and KT.  For simple, online access to personalized and affordable care for Hair Loss, ED, Weight Loss, and more, visit https://Hims.com/LFN  Sign up for your $1 per month trial and start selling today at https://shopify.com/summoning  Exclusive $45-off Carver Mat at https://on.auraframes.com/SUMMONING. Promo Code  SUMMONING (US, UK, and Canada only)  Treat yourself to gear that looks good, feels good, and doesn't break the bank with Fabletics! Go to https://Fabletics.com/SUMMONING and sign up as a VIP and get 80% off everything!  US fans: don't get them socks. Get them premium wireless for $15/mo. Shop Mint Unlimited Plans at https://MINTMOBILE.com/SUMMONING. Limited time offer. Upfront payment of: $45 for 3-mo., $90 for 6-mo., or $180 for 12-mo. plan req'd ($15/mo. equiv.). Taxes & fees extra. Initial plan term only. Over 35GB may slow when network is busy. Capable device req'd. Availability, speed, & coverage varies. See mintmobile.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Sports Daily Full Show 4 November 2025

We are doing another LIVE show in NYC thanks to Red Bull! For tickets and more information head to: https://platchat.com/

Shannon Sharpe & Chad “Ochocinco” Johnson are joined by World Champion Cordell Tinch to talk about his most recent gold medal, Dillion Gabriel loses a heart breaker in his first start for the Cleveland Browns and the Buccaneers beat the Seahawks in a thriller and much more! 0:00 - Cordell Tinch joins the show22:05 - Dillion Gabriel’s debut28:30 - Bucs beat Seahawks33:30 - Cardinals lose to Titans36:50- Commanders beat Chargers41:58 - Colts beat Raiders45:11 - Saints beat Giants46:45 - Panthers beat Dolphins48:35 - Q & Ayyyy (Timestamps may vary based on advertisements.) #ClubSee omnystudio.com/listener for privacy information.

Hour 1: Keith talks about the Yankees win over the Red Sox and previews the ALDS against the Toronto Blue Jays.

Daytime Meditaitons Now available! Search: 6 Minute Meditations!Drift into a deep and peaceful sleep as you lie back and imagine yourself resting on a soft, fluffy cloud floating high above the world. In this calming guided meditation, you'll be gently carried across a serene sky, supported by the lightness of your cloud, as soothing affirmations are spoken to you with warmth and care.Each affirmation is designed to relax your body, quiet your thoughts, and uplift your spirit, helping you release the stress of the day and reconnect with your inner calm. The cloud cradles you in weightless comfort, gently rocking you into deeper and deeper states of rest, while healing words float through your mind like a gentle breeze, planting seeds of self-love, confidence, and peace.With every breath, you'll feel more relaxed, more safe, and more at ease—allowing your body to completely let go and your mind to surrender to sleep. This is your time to rest, recharge, and receive the loving support you deserve.Perfect for ending your day on a peaceful note, this guided meditation helps you fall asleep easily, stay asleep longer, and wake up feeling refreshed, empowered, and deeply restored.Tracks To Relax Sleep offer a soothing and effective way to help people unwind from their day and transition into restful sleep. By blending calming narration with gentle background music and guided visualization techniques, these meditations are designed to quiet the mind, reduce stress, and ease the body into a state of deep relaxation.Become a member and listen without ads at www.trackstorelax.com, listeners get access to the full library of meditations ad-free, enhancing the effectiveness of each session and providing a more immersive listening experience. New sessions released every month! Hosted on Acast. See acast.com/privacy for more information.

Welcome back to The Dive Driven by Kia! First up, Azael, Kobe and Meteos give their thoughts on Bwipo's comments this past week. Next, we take a look at 100 Thieves' surprise run to the LTA North Conference Finals, marked by a big comeback split for Dhokla, before ultimately falling to the favorites in FlyQuest. We also break down Cloud9's disappointing end to the year and, of course, their team workout habits. After the break, we dive into Patch 25.18 including nerfs to Kobe's Volibear and buffs to Sunfire Cape.Finally, we preview the LTA Playoffs featuring cross-conference showdowns between North and South. Tune in this weekend to find out who will contend for the last spot at the LTA Championship and Worlds! Timestamps:0:00 - Intro & response to Bwipo's comments7:04 - Dhokla's career comeback11:09 - 100 Thieves' last dance and the future of the roster15:33 - LTA North Conference Finals weekend recap: FLY, 100T, SR, C928:20 - The Cloud9 Workout Plan and next steps after a disappointing season45:15 - Patch 25.18, Volibear nerfs (sorry Kobe), Sunfire buffs57:09 - LTA Playoffs preview; 100T vs PAIN, FBI vs Titan1:08:25 - SR vs RED, the closest series to watch, Kaze vs Palafox1:17:05 - FLY vs VKS; lookahead to rest of LTA Playoffs and Worlds

Welcome back to a brand new episode of The Dive Driven by Kia!The crew kicks off the episode with a discussion on whether scrims remakes should be allowed and their historical impact on international performance. We had some ridiculous matches this past week, including what was nearly the biggest upset in NA history from Disguised. Plus, Inspired's blind pick Tryndamere jungle against Shopify Rebellion. RIP solo queue.Lastly, the team breaks down the match previews for this weekend - who do you have winning?Don't forget! Super Week is back, with matches starting this upcoming Friday, September 5th at 1PM PT/4PM ET. Get your tickets to watch the action live at the Riot Games Arena here: https://www.tixr.com/groups/ltanorthTimestamps:0:00 - Intro & Reminder for Super Week this Friday2:17 - Should you be able to remake scrims?24:04 - Team Liquid Spawn BTS Video35:14 - Cloud9 vs Disguised Recap51:40 - 100 Thieves vs Team Liquid Recap1:00:18 - FlyQuest vs Shopify Rebellion Recap1:13:54 - Cloud9 vs 100 Thieves Preview1:19:14 - Weekend Matchup Predictions

This week on The Dive Driven by Kia, solo bolos are back with Patch 25.17 and the squad's raising eyebrows at all the new faces showing up in the jungle like Vayne and Nilah. Which change are you most surprised to see?We also dive into the challenges facing struggling LTA rosters like Dignitas, Team Liquid and LYON from the perspectives of players and coaches. After the break, we break down 100 Thieves' shocking upset over LYON and the heated rematch between Disguised and Dignitas.The LTA returns this Friday at 1PM PT - so don't forget to mark your calendars and tune in for Cloud9's elimination match against Disguised. See you then!Timestamps:0:00 - Intro & LTA returns this FRIDAY!1:11 - Team Environment Challenges26:33 - Patch 25.17: Jungle Vayne and Lane Kayn?48:11 - T1 Worlds Skins Revealed: Gnar, Vi, Yone, Varus, Pyke, Prestige Sylas52:41 - 100 Thieves upsets LYON, Dhokla is back1:07:07 - Disguised takes down Dignitas1:08:11 - Cloud9 vs Disguised Preview1:19:03 - 100 Thieves vs Team Liquid Preview1:34:01 - FlyQuest vs Shopify Rebellion Preview

Hey everyone, and welcome back to another episode of The Dive Driven by Kia!The crew is fired up to talk about a bunch of exciting changes coming to League. Doom Bots are back! WASD controls are coming soon to PBE! Sheriff Caitlyn and the dev team are on the hunt for smurfs! Boosters, hitchhikers and botted accounts beware. Meteos's top lane alt account is safe (from the devs, at least).Next, Kobe and Azael respond to Palafox from the latest PROS episode (https://youtu.be/1MTPIylw-80?feature=shared). We also break down the meta shakeup in Patch 25.16 and dive into all the new jungle additions plus their early day one win rates. Which change are you most excited to try out?Finally, we preview the LTA North Week 4 matchups: Shopify Rebellion vs. Cloud9 and Team Liquid vs. FlyQuest. If you're hyped to watch the first set of Bo5s in Split 3, head over to the Riot Games Arena this weekend. Grab your tickets in the link down below!https://www.tixr.com/groups/ltanorthTimestamps:0:00 - Intro & Dev Update7:13 - Doom Bots Return8:12 - Smurfing Changes26:02 - Palafox on PROS34:21 - Patch 25.1657:13 - Disguised vs Dignitas 1:00:56 - Shopify Rebellion vs Cloud9 Preview 1:20:44 - Team Liquid vs FlyQuest