Podcasts about happy new year

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

Learn how to JournalSpeak :⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tinyurl.com/2ph33u2s ** TRIGGER WARNING. EMMA IS DOING GREAT, BUT DOES DISCUSS SUICIDAL IDEATION AND THE DEATH OF A FAMILY MEMBER BY SUICIDE ON THIS EPISODE ** When Emma and I first connected, she was requesting a RTH for issues related to Lupus/other autoimmune conditions, and I jumped at the chance to highlight such an important topic, and help her to move the needle on her healing. But guess what?? Emma dedicated herself so much to the work and the process, that in the few weeks it took to get us on the air, she's nearly completely better! This doesn't stop us from having a highly impactful and impassioned conversation about childhood trauma, the healing journey, and the big questions she is still inhabiting. Join us for a RTH turned success story that will touch you and guide you in many ways. Happy New Year! XOOX n. ⁠1:1 COACHING WITH TRAINED COACHES SUPERVISED DIRECTLY BY NICOLE⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PLEASE RATE AND REVIEW THE PODCAST HERE TO HELP OTHERS FIND IT!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Producer: Lisa Eisenpresser ~~~~~ SUPPORT:  Struggling with chronic pain? Check out my Freedom From Chronic Pain course   GET THE FIRST LESSON FREE: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tinyurl.com/yuxczyba⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Anxiety controlling your life? Try my Freedom From an Anxious Life course  GET THE FIRST LESSON FREE: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tinyurl.com/2m9rcht8⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Learn more about the brain science and clinical experiences in my book   MIND YOUR BODY: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tinyurl.com/4fd6bvdc⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Receive support, guidance, connection, and direct access to Nicole with  MEMBERSHIP: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tinyurl.com/y7wadt8d⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ~~~~ THE CURE FOR CHRONIC PAIN JOIN THE CONVERSATION ON INSTAGRAM  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tinyurl.com/93pwbp8v ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ SUBSCRIBE TO THE PODCAST  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tinyurl.com/56vvbdcx ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LEARN ABOUT ANNUAL OMEGA RETREAT ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tinyurl.com/3vr5j3ux⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Podcast music by the beautiful and talented Danielle Furst: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@musicfurst⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ This episode originally aired on January 6, 2023. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Midlife has a funny way of revealing hard truths or what you neglected to build. At 50, after 35 years on Wall Street, Shelly Lombard got laid off—and her phone never rang. That painful wakeup call led her to found Schmooze, a platform teaching woman to build relationships and network with intention and joy. Learn how one Happy New Year text landed Shelly a corporate board seat, why 80% of board roles are filled through relationships, and why it's never too late to cultivate relationships to create what's next. Want to find your people? Tune in! FOLLOW A CERTAIN AGE ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ GET INBOX INSPO: Sign up for our newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AGE BOLDLY⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ We share new episodes, giveaways, links we love, and midlife resources Learn more about your ad choices. Visit megaphone.fm/adchoices

On today’s show: A listener questions whether Producer Grace is old enough to work on the show! Megan is mad that we mispronounced Kian from Westlife’s name… Is Ben forcing his daughter to go to NRL Magic Round? Ben’s unfortunate first meeting with his sister’s boyfriend… Jono tries to fight a parking fine on principle We finally decide whether we will be continuing with “Happy New Year” as our catchphrase Instagram: @THEHITSBREAKFAST Facebook: The Hits Breakfast with Jono, Ben & MeganSee omnystudio.com/listener for privacy information.

Season 1 Finale! I'm joined by multiple guests of the pod to give a fuck you and farewell to the horror that was 2020. Happy New Year everyone! Support the showLinks for Making A MartiniLinktreeBuy Me A CoffeeInstacart

In this Episode you will learn: - W tym odcinku nauczysz się: Warmly welcome - Serdecznie witamy How are you - Jak się masz I'm good and you - dobrze, a ty What will we be talking about today - O czym dzisiaj będziemy rozmawiać Christmas - Boże Narodzenie Merry Christmas - Wesołych Świąt Roy you don't have a Christmas tree - Roy, nie masz choinki Better outside - Lepiej na zewnątrz Decorate the tree - Udekoruj drzewo In Poland people decorate trees - W Polsce ludzie dekorują drzewa Angel - Anioł On the top is a star - Na górze jest gwiazda Christmas balls - Bombki choinkowe Christmas lights - oświetlenie świąteczne I have two Christmas trees, one in the saloon and the other in my sons room - Mam dwie choinki, jedną w salonie i drugą w pokoju moich synów Students do you have a Christmas tree at home? - Studenci, czy macie w domu choinkę? Happy New Year and Merry Christmas - Szczęśliwego Nowego Roku i Wesołych Świąt We cook a lot - Dużo gotujemy In Poland people generally cook dumplings - W Polsce ludzie zazwyczaj gotują pierogi Turkey - indyk Roast Potatoes - Pieczone ziemniaki What is your main dish - Jakie jest twoje główne danie? Mushroom soup with noodles - Zupa grzybowa z makaronem Cabbage with peas - Kapusta Z Groszkiem Carp fish - Karp Presents - Przedstawia Presents under the Christmas tree - Prezenty pod choinką Polish tradition - Polska tradycja Santa clause - Święty Mikołaj Thank you for listening for the whole year - Dziękujemy za słuchanie przez cały rok We will be back next year - Wrócimy w przyszłym roku Merry Christmas and Happy New Year - Wesołych Świąt i Szczęśliwego Nowego Roku  

Click Here to Text us Fan Mail! JanNEWary. Tournament Style March. Please enjoy!

12 - Happy Hasan Piker Day! And Happy Allante McAuley at City Hall Day! And Happy New Year! 1215 - Side - something that messed with perfection 1220 - Who are the most attractive First Ladies? Or Presidents for that matter? 1230 - We welcome Harvard Law Professor Emeritus Alan Dershowitz today. Why has he changed his voter registration to Republican? What does she think about “Hasan Piker Day” in Philadelphia? Why is Hasan a fascist? How have some Jews become anti-Semitic? What does he fear about the next generation coming up now? 1245 - Mike Foti joins after his testimony at City Hall this afternoon. We play his clip of the scenario and get his reaction. 1250 - Your calls. How was City Hall, Kirk?

This week we have another doordash escapade, all the guys get sloshed, as well as two taste tests. Happy New Year! Crack into 2023 with ya bois! Drink/Smoke and Riff Responsibly! New Amsterdam Wildcard- HIGHLY RECOMMEND! Red White and Merry Cocktails- HIGHLY RECOMMEND!

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Joan lists things she now says as she's getting older, Burnt issues a cryptic warning for the neighborhood, and Doug is having a ball. Then, they are joined by Meagan (Jacquis Neal), a mom here to confess what is really behind her "Happy New Year" post on the NeighborhApp!Go to cbbworld.com and sign up for the Maximus plan to unlock this episode and ALL seasons of The Neighborhood Listen ad-free, as well as full length exclusive BONUS ROOM episodes adventuring deeper into Dignity Falls!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Join this channel to get access to perks: EARLY Access, EXCLUSIVE Episodes & Much More! https://www.youtube.com/channel/UCpeD7roEp99UANH0HVZ3dOA/joinWhat's Your Story - Writer/Director Ben Wheatley?Our guest today is one of Britain's finest Writer/Directors, Breaking out with 'Kill List' he has ventured into almost all genres from 'Free Fire' to Netflix hit 'Rebecca'.We chat about the differences between his first movie to huge Jason Statham actioner 'The Meg 2', his love of film and why his latest Bob Odenkirk thriller 'Normal' was an immediate yes.(Apologies for the video connection between ben and I at the beginning, I have edited around it as best I can)Credits Include Kill List / Sightseers / Free Fire / Rebecca / A Field in England / High-Rise / The Meg 2 / Happy New Year, Colin Burstead / Down Terrance / In the Earth / Normal ...etc-----------------------------Host - Actor/Writer ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Elliot James Langridge⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠Please contact (Scott Marshall Partners) -----------------------------Our SponsorsMoviePosters.com is the #1 place for movie posters old and new! use our affiliate link https://www.movieposters.com/?sca_ref=8773240.c977RvLKKpL& Get 10% off with code LIFEINFILM10⁠⁠⁠⁠BetterHelp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ provides you with access to the largest online therapy service in the world. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get 10% off⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ your first month at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠betterhelp.com/lifeinfilm⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠-----------------------------'Normal' is in cinemas April 17th-----------------------------Thank you to our guest Ben, James & the team at William Morris as always thank you to our sponsors MoviePosters.com & BetterHelp-----------------------------If you enjoyed this episode, please review and follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠You Tube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠etc and please share. It makes a huge difference. -----------------------------Join us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, @LIFEINFILMpod. Check out the ⁠Patreon⁠ at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/Lifeinfilmpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & Join this channel to get access to perks: EARLY Access, EXCLUSIVE Episodes & Much More! https://www.youtube.com/channel/UCpeD7roEp99UANH0HVZ3dOA/join -----------------------------Please don't forget to⁠ LIKE & SUBSCRIBE⁠! ╔═╦╗╔╦╗╔═╦═╦╦╦╦╗╔═╗ ║╚╣║║║╚╣╚╣╔╣╔╣║╚╣═╣ ╠╗║╚╝║║╠╗║╚╣║║║║║═╣ ╚═╩══╩═╩═╩═╩╝╚╩═╩═╝Thanks for watching this episode ... see you in the next video!0:00 - Get EARLY Access & EXCLUSIVE Episodes0:13 - Our Guest Ben Wheatley / How it all began?3:54 - The 20 Year Old me Wouldn't believe Where I am Today4:56 - 'Writing 'Down Terrance' & 'Kill List'9:42 - Advice to Writers 14:00 - What I'd Love to do Next15:51 - Collaborations / inspirations20:42 - Support The Podcast / Movieposters.com / Betterhelp22:23 - Bob Odenkirk Action Movie Normal25:55: - Shooting in the Canadian Winter27:14 - Why I Story Board29:11 - Like, Subscribe & Join our YouTube Channel!

learn how to say "Happy New Year" in 34 languages

Welcome to The P.S. after dark. (18+content). Are you feeling funky... free... and groovy? Stop on by.Tonight we ask the tough questions. Drop your comments, thoughts and ideas. Find us on X. See y'all on the other side.

Yes, it's the fabled Mid-faith Crisis New Year's episode. We talk about how our themes worked out last year (spoilers: not so good) and what we want to focus on for the next 12 months. How appropriate for episode number 365! Also Nick eats a doughnut and Joe has been to a play. Support the podcast Contact the podcast through your email machine Mid-faith Crisis Facebook Page Nick's Blog Mentioned in this episode: I Swear Louis Theroux - Inside the Manosphere The Unlikely Pilgrimage of Harold Fry Prospect of Whitby - Wikipedia St Paul's Bow Common The Nap Ministry | Rest is Resistance

Hellooo Culture Kids! Grab your imaginary passports because today we're heading into a cozy home to celebrate Nowruz, a springtime New Year that has been celebrated for over 3,000 years. In this episode, we visit our friends Hannah and her mom, Ms. Sadaf, to experience how their family prepares for this special holiday. Through storytelling, sound, and imagination, we step inside their home, smell delicious foods, see beautiful traditions, and learn what this celebration means to families around the world. What You'll Discover What Nowruz is and why it marks the first day of spring How families celebrate across Iran, Afghanistan, Central Asia, and beyond The meaning behind Khaneh-Tekani (spring cleaning) The beautiful Haft-Seen table and what each item represents How to say “Happy New Year” in Farsi: Sal-e No Mobarak Nowruz is more than a celebration; it's a reminder that new beginnings, hope, and connection are shared across cultures in different and beautiful ways. Through this adventure, children are invited to see the world as a place full of traditions, stories, and families who may do things differently, but share many of the same hopes for joy, renewal, and togetherness. A heartfelt thank you to Hannah and Ms. Sadaf for welcoming us into their home and sharing their traditions with our Culture Kids families. To our Culture Kids families celebrating, Sal-e No Mobarak! We wish you light, peace, and a beautiful new beginning. PLEASE KEEP OUR CULTURE TRAIN RUNNING!!! If you loved this episode, please take a moment to leave us a 5-star review on Apple Podcasts or Spotify. You can also support our work with a donation on our website. Every bit helps us continue creating meaningful stories for children everywhere. http://culturekidsproductions.org Follow us on IG: @culturekidsproductions Leave a comment on Spotify and we will get right back to you!

What do the roster decisions made by the Cardinals ahead of opening day tell fans about their timetable to contend? Probably more than their letting on. The Best Podcast in Baseball returns from spring training and to its weekly format with a preview of the 2026 Cardinals season told through one position and how so many revealing aspects of the team radiate from it. Editor Nathan Mills joins baseball writer and BPIB host Derrick Goold on the even of opening day to discuss the many tendrils that extend from left field -- from the Cardinals' roster choices to the Cadinals' style of offense, from the Cardinals' need for power and plans for Lars Nootbaar to their debut of JJ Wetherholt and what that says about their next window to contend.  It all extends from left field. Just in time for the civic holiday known as opening day it's a brand new BPIB. Happy New Year, as we say in the press box. More Post-Dispatch podcasts.  Please consider subscribing. In its 14th season as one of the first and most widely heard podcasts on baseball and the Cardinals, the Best Podcast in Baseball has reached a new season-high with 30 episodes. Each episode is sponsored weekly by Closets by Design of St. Louis, is a production of the St. Louis Post-Dispatch, StlToday.com, and lead baseball writer Derrick Goold. 

Happy New Year… yup, it's Auld Lang Syne for Gemma as we find out why she celebrates in March. Meanwhile, Gorka answers the question that every woman wants the answer to… do all men helicopter their… well, bits!Also, Gemma puts the case forward for why having garlic bread as feet would make you swim faster in a game of ‘Would You Rather' and a listener shares why he's been bribing his kids with sweets to keep a secret from their mum!Contact us at lostintranslation@bauermedia.co.uk or WhatsApp on 07761039898.Producers - Henry Hewitt & Molly CarterSenior Video Producer - Elena CottonSocial Media Producer - Cassidy RebeloProduction Assistant - Emily SpunginProduction Manager - Sarah NichollsExecutive Producer - Laurence BassettHead of Production - Cat MoranChief Creative Officer - Lucie Cave Follow us on social: www.instagram.com/lost.in.podcastwww.tiktok.com/@lost.in.podcast #LostInTranslation #GemmaAtkinson #GorkaMarquez

Yes, we know it's March, but this is the first episode of 2026 so for us it's still Happy New Year!Meet Annika, a career coach who helps numerous individuals find their strengths and refine their outlook, all the while cultivating hope in their career. We've been chatting about hope for a while, but it's pretty cool to sit down with someone who is a professional hope-builder. Annika leads us through an exercise where we learn, quantifiably, how hopeful we actually are....and the results are a bit surprising!Plus, tune in to hear which royal epithets suit us, and learn who Timmy thinks happens when you kiss Le Petit Prince.

Happy New Year (of the Scarab)! We run down all the decks of the very early meta, and give you recommendations, whether you're looking to climb quickly, just try fun cards, or anything in between. News – 32:53 Patch 35.0.1 Returning Players' Guide Dragonflight Recruitment Update Tournaments – 48:31 Winter Playoffs Recap Decksplanations – 57:07 New meta decks Old and Busted New Hotness New and Playable Tier Fun The Show Notes for this week's episode are on our Website Join us every week live, by following us on Twitch You can monetarily support our show on Patreon for perks like a thank you at the top of the show, bonus post-show content, early access to new episodes, one on one coaching sessions, and help support the show in the process! Join our community chats in our Discord channels and write in to our Email at coinconcede@gmail.com. Follow us on Bluesky!   

https://linktr.ee/musicpodcast3?utm_source=ig&utm_medium=social&utm_content=link_in_bio&fbclid=PAZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMjU2MjgxMDQwNTU4AAGn3IIKbFZswtzWnUx7y0-QX8U2JDoPhRr5VHPYj3BWuuvustJQ6QmDIR9ANCk_aem_coy3NtigXW2h9yJbHDG6yw

Connect directly with Norma through Fan Mail!Happy New Year!!  Tune in to find out why Norma thinks it is a new year (hint: Cardinal Ingress in Aries!).Contact Norma for natal chart, relationship, vocational and predictive astrology readings: astrologydva@gmail.comSign up for the astrology2day newsletter to join the astrology2day community.Listen to astrology2day podcast for a look at the daily transit plus more.Be sure to check out additional resources and services from Norma at astrology2day.comNew Moon sessions on Zoom for 2026 at 6:30 PM Vancouver Time:January 14February 16March 17April 15May 14June 14July 13August 11 (Solar Eclipse edition)September 10October 9November 4December 7         

This was the original episode of Happy New Year, that got cut off strangely. Due to the numerous confirmations in the back ground Dr. Kelly decided to include it as a bonus. Be ware that this recording just cuts off.

The beginning of The Golden Era, where EVERY thing works out for year. The beginning of KNOWING and FEELING your way through life. Dr. Kelly breaks down what you can expect.This episode was recorded AFTER the Bonus - Happy New Year.

Happy New Year!This episode: - We give some praise to the chip on Tony's shoulder - We talk taxes - We "split the G" for St. Patrick's Day - We talk about toilet seat etiquetteWant to hear our take on something, or want to sound off? Email us at thereisabetterpodcast@gmail.com.

Happy New Year! (it still counts, right?)  Another bonus episode for your listening enjoyment as we bring you another Reel Roundtable discussion.  Ian, Liam, Megan, and B-Tech Kev look back on the films they've reviewed in 2025 and have some more  dubious awards to hand out in the form of The Resties.  Comments, banter, and flat out arguments can be found as we debate the worst that we saw in 2025 (A full list of award categories and eligible films are located at the bottom of these notes) This year we're thrilled to have ballots from five of our patrons to help determine the winners and a couple of them cast some live tie-breaking votes. The Awards: Worst Screenplay Worst Special Effects Worst Score Worst Song Worst Musical Worst Costume Design Worst Art Direction Worst Villain Least Funny Movie (That was supposed to be funny) Worst Plothole Worst Cinematography Worst Duo Most Unlikeable (for a character we're supposed to like) Worst Child Worst Context Corner Worst First Watch Worst Fall From Grace Most Unnecessarily Sexualised Moment Worst Aged Moment Most Overhyped Worst Patreon Selection Second Opinion (Down) Biggest BFE Blunder Worst Supporting Actor Worst Supporting Actress Biggest Therapy Session Worst Actor Worst Actress Worst Film Eligible Films: 300 American Psycho Babylon Black Swan Cinderella Man Crash Dirty Harry Erin Brockovich Field of Dreams Ghost Heneral Luna Idiocracy Inception It Jackie Brown Jaws Karate Kid Mask Million Dollar Baby Mission: Impossible 2 Moneyball Mr. & Mrs. Smith Once Upon a Time in Hollywood One Flew Over The Cuckoo's Nest Ordinary People Out of the Furnace Outbreak Poltergeist Predator Rocky Horror Ruby Sparks Rush Shallow Grave Shutter Island Snow White & The Seven Dwarfs Star Wars: Revenge of the Sith Superman (1978) Sweeney Todd The 40 Year Old Virgin The Fighter The Goonies The Holiday The Naked Gun The Shining The Social Network To Die For Toy Story 3 Tremors V for Vendetta What We Do In The Shadows Witness X-Men

Ep. 986 - Happy New Year, Bird Gang! And on this the first day of the new league year, there is plenty to talk about; a lot of what has been reported is now official. Yes, that includes the future of Kyler Murray. And that's where Craig Grialou and Zach Gershman begin the show. Murray has been released, while Gardner Minshew will reportedly sign to join holdovers Jacoby Brissett and Kedon Slovis. Who will be QB1? The guys also discuss what has quickly become a loaded running back room, additions along the line of scrimmage including a new starting guard and a familiar face returning to the defensive line, plus seven rounds equals seven draft picks come April.See omnystudio.com/listener for privacy information.

learn how to post comments about New Year greetings

THE FELLAS ARE BACK TALKING ALL THE LATEST AND GREATEST AROUND BUC BALL AND THE NFL WITH THE LEAGUE NEW YEAR BEGGINING... HAPPY NEW YEAR!Joined by Special Guest Ken Barrett !FOLLOW US ON X: @BuccateersIG: @BuccateersPODYoutube: Buccateers PodcastTampa Tones on X: @TampaTonesRIGHTS TO THE MUSIC Music : Roa - Better DaysStream / Download : https://hypeddit.com/r...License : https://roa-music.com

*recorded 1/1/26

Happy New Year! In this episode I talk about the energetics of this new year and importance of nervous system regulation for jumping on to the timeline that we want to. If you would like to book in a free discovery call with me to discuss how I can support you on your journey this year, please email me at thrive@coachingbyanneka.co.ukTik Tok: @coachingbyanneka_official

Happy New Year! On our first mid-month book news check-in episode for the year of the horse, we go over a hefty list of latest Asian American publishing news as the publishing industry revs back into gear after the holidays.Upcoming books mentioned in our publishing news:Blur the Lines by Kanitha P.Paper Ghosts by Samantha ChongCold Blood by Aashna AvachatUntitled Contemporary YA By Jesmeen Kaur DeoThe Strange Sketches of Luna Li by Gloria L. HuangShe Comes Out at Night by Michelle Jing Chan If We Could Be Everywhere by Sarah SukThe Sisterhood of Southern Peaches by Katrina MooreFootprints in Snow by Keiko HaynerSomething Inside Me Knows by Malinda LoThe Luckies by Sarah Mlynowski and Christina Soontornvat; illust. by Madi WongThe Monster Inside by Cherry MoJitty and the Machine by Mitali Banerjee Ruths; illust.by Iacopo BrunoWipe Out by Saadia Faruqi; illust. by Karen De la VegaThe Erhu Sings by Sally DengBlooming Behind Barbed Wire by Traci Huahn; illust. by Mayumi SasageHouse of Forgotten Souls by Kat ChoHello, DELA, by Kiku HughesTae Lim Decks It Out by Angela AhnIzzy and Wolfi by Dane Liu; illust. by Maya TatsukawaThe Light Garden by Joanna Ho; illust. by Minako TomigaharaBooks & Boba is a podcast dedicated to reading and featuring books by Asian and Asian American authorsSupport the Books & Boba Podcast by:Joining our Patreon to receive exclusive perks

Happy New Year (eventually)!  Another bonus episode for your listening enjoyment as we bring you another Reel Roundtable discussion.  Ian, Liam, Kev, and Megan look back on the films they've reviewed in 2025.  Comments, banter, and flat out arguments can be found as we debate the best that we saw in 2025 (A full list of award categories and eligible films are located at the bottom of these notes) This year we're thrilled to have ballots from seven of our patrons and Ariannah, Synthia, & Paul join us to settle any and all tie-breakers (and there were a few). The Awards: Best Screenplay Best Special Effects Best Costume Design Best Art Direction Best Cinematography Best Context Corner Highlight Best Duo Best Villain Best Animated Film Best Voice Actor Best Musical The John Williams Award for Best Score Best Song or Theme Best Soundtrack Best Tearjerker Funniest Film Best BFE Moment/Rant/Quote Best BFE Argument The Abigail Breslin Award for Best Child Actor The Steel Magnolias Award for Best Representation of Women The Natalie Portman Award for Most Attractive Female on Film The Ryan Gosling Award for Most Attractive Male on Film Best Plot Twist (no spoilers) Episode of the Year Best Patreon Film Best First Watch Most Improved Viewing Experience Best Supporting Actor Best Supporting Actress Best Actor The Frances McDormand Award for Best Actress Best Film   Eligible Films: 300 American Psycho Babylon Black Swan Cinderella Man Crash Dirty Harry Erin Brockovich Field of Dreams Ghost Heneral Luna Idiocracy Inception It Jackie Brown Jaws Karate Kid Mask Million Dollar Baby Mission: Impossible 2 Moneyball Mr. & Mrs. Smith Once Upon a Time in Hollywood One Flew Over The Cuckoo's Nest Ordinary People Out of the Furnace Outbreak Poltergeist Predator Rocky Horror Ruby Sparks Rush Shallow Grave Shutter Island Snow White & The Seven Dwarfs Star Wars: Revenge of the Sith Superman (1978) Sweeney Todd The 40 Year Old Virgin The Fighter The Goonies The Holiday The Naked Gun The Shining The Social Network To Die For Toy Story 3 Tremors V for Vendetta What We Do In The Shadows Witness X-Men

Happy New Year from The Geekz!

We are back for our first new episode of 2026!  We have tons to cover, including all the movies and tv shows we have watched!  We also cover the massive ratings juggernaut that is the Super Bowl as well as the divisive half-time show. Send a textIf you are feeling anxious, depressed or angry and need someone to talk to, visit Better Help to speak to a licensed professional. Use the promo code: screenaddicts and receive 10% off your first month. Just follow this link: BetterHelp - Get Started & Sign-Up Today Visit our Linktree for show info and our Merch Store: https://linktr.ee/screenaddictspodcastSubmit any thoughts or questions to: screenaddictpodcast@gmail.com

Was Mystic Meg the end of an era? Could Madagascar happen in real life? Can you see Scotland from the Midlands? http://instagram.com/pappyscomedy https://www.tiktok.com/@pappysflatshare Support us on Patreon - http://patreon.com/pappysflatshare UPCOMING FLATSHARE SLAMDOWNS: MONDAY FEBRUARY 23RD: SAM NICORESTI + STEVIE MARTIN TUESDAY FEBRUARY 24TH: MATT FORDE + AMY MASON Find tickets to all our live shows here - http://pappyscomedy.com/live Produced by Olivia Swash Technical expertise by  @AceMcRenegade ​ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ https://youtu.be/-flNeKF6CxQ?si=xIIQ4LUl7oraQjkg Microsoft’s Cyril Belikoff joins Vince Menzione to reveal the seismic shift occurring within the newly reimagined Microsoft Marketplace. As the industry moves toward a predicted $300 billion partner opportunity by 2030, this discussion deconstructs the evolution of the “Frontier” vision, the launch of the AI apps and agents category, and the critical “Resale Enabled Offer” (REO) that is currently doubling deal sizes for early adopters. Whether you are a software company looking to scale globally or a reseller aiming to stitch together complex AI solutions, the message is clear: the flywheel is already spinning, and those who wait for a “perfect strategy” risk being permanently displaced by more agile competitors who are getting their feet wet today. Key Takeaways The Microsoft Marketplace has been reimagined into a single destination for discovering, buying, and deploying AI apps and agents. Analysts predict a staggering $300 billion opportunity for partners within the Microsoft Marketplace by 2030. The new Resale Enabled Offer (REO) allows software companies to authorize channel partners to resell on their behalf across specific geographies with minimal overhead. Cloud migration is far from over, as massive amounts of on-premise data and ISV apps still need to be modernized for the AI era. Marketplace deal sizes are doubling as customers use Azure commitments to retire their marketplace acquisition costs. Successful partners are moving away from “boiling the ocean” strategies and instead focusing on transacting one or two deals to learn the ecosystem’s mechanics. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags: Microsoft Marketplace, AI apps and agents, Resale Enabled Offer, REO, Cyril Belikoff, Azure Marketplace, AppSource, cloud solutions, software companies, digital transformation, AI strategy, channel led sales, ISV solutions, cloud migration, Azure commitments, Microsoft Cloud, Frontier vision, MSP opportunity, marketplace transacting, AI monetization, global scale, procurement, IT deployment, technical modernization, partner ecosystem, business applications. Opening Lines: [00:00:00] Cyril Belikoff: Marketplace is really the extension of our vision for Frontier, uh, and the Microsoft Cloud. You know, the, the Microsoft technology takes a customer a long way, but in many ways to complete the thought. If you’re in football terms, you want to cross over the line and score touchdown. You can’t just get, uh, to the red zone. [00:00:20] Cyril Belikoff: You actually need partner solutions. [00:00:26] Vince Menzione: So let’s, let’s kick off to Marketplace a little bit right, too, because, uh, it’s been a big year for Marketplace, or 20, the first half of 2026 fiscal year 2026 has been a big year. A lot of announcements, a lot of things going on in the world, in marketplace. Where do we wanna start there? Let’s recap some of it. [00:00:44] Cyril Belikoff: Yeah. Um, so, um. It feels like a long time ago, but in, at the end of September, [00:00:51] Vince Menzione: yeah. [00:00:52] Cyril Belikoff: Um, at the AR tour, uh, in Chicago, we announced a new Microsoft marketplace. We reimagined that experience. It’s a new customer experience, single destination for customers to. You know, discover, find, try, buy, and deploy cloud solutions, AI apps and agents all in one place. [00:01:11] Cyril Belikoff: And so historically, we’ve had a little bit, uh, of decentralization. We had this thing called the Azure Marketplace and AppSource for different experiences. AppSource was more for teams and, and copilot. Um, and, and office, Azure Marketplace. Of course, that was for Azure. We brought all of that into one place. [00:01:30] Cyril Belikoff: So customers, whether they are looking for a SaaS solution running on Azure, an agent that snaps into copilot, an experience that runs in our security store, now they can go to one place. Um. marketplace.microsoft.com. It’s one, it’s the new Microsoft marketplace. And we have an, of course, we have a, we had, we launched a brand new category, AI apps and agents, and we launched that category in September. [00:01:54] Cyril Belikoff: Uh, bringing together numerous, uh, uh, partner offerings. Yeah. And today we have the largest catalog, um, probably in the mid four thousands of AI and agents. Wow. Available to customer. So fantastic. There was, there was quite a big moment in September. Um, and then fast forward a little bit to November, we announced a resale enabled offer, um, at Ignite [00:02:15] Vince Menzione: eo. [00:02:16] Vince Menzione: Eo [00:02:16] Cyril Belikoff: eo. I, [00:02:17] Vince Menzione: I like EO reminds me of the band back in the day. [00:02:19] Cyril Belikoff: Yeah. R Speedwagon. There you go. Uh, well, and it’s, it’s not that far from it because Oreo accelerates. Yeah. Um, what partners can do, uh, with the marketplace and really connects. Software companies and resellers, which I’m sure we’ll talk about in a second. [00:02:34] Cyril Belikoff: But that’s really the recap, um, of, uh, you know, the new Microsoft marketplace, how we enabling it for, uh, for partners through the the resell enable offer. [00:02:45] Vince Menzione: So, I know we talked on this a little bit, but I wanna maybe just expand on it. What does the frontier push and the marketplace evolution mean for partners? [00:02:53] Vince Menzione: Because I, I think it’s huge for both, for these partners to really monetize and accelerate their success working with you. [00:03:00] Cyril Belikoff: Yeah. So, um. Marketplace is really the extension of our vision for Frontier, uh, and the Microsoft Cloud. You know, the, the Microsoft technology takes a customer a long way, but in many ways to complete the thought and to, you know, uh, uh. [00:03:20] Cyril Belikoff: If you’re in football terms, you wanna cross over the line and score a touchdown, you can’t just get, uh, to the red zone. You actually need partner solutions. [00:03:28] Vince Menzione: Yeah. [00:03:29] Cyril Belikoff: Uh, and so that’s where the partner solutions, combined with Microsoft’s first party offerings become a really, really. Great offering and powerful offering for our customers to, to become Frontier. [00:03:40] Cyril Belikoff: So we have obviously a ton of AI experiences, our own co-pilot experiences, uh, Microsoft Foundry, which is a platform for ai, but in, in many ways, we need those industry solutions. We need those AI apps and agents from partners to complete that offering. And that’s really. How it comes together and, uh, you know, uh, I heard you from o was just on before me. [00:04:01] Cyril Belikoff: They actually predict that the Microsoft marketplace, uh, is a 300 billion partner opportunity by 2030. Yeah, they’re talking about, I think, mid eighties growth. We have literally seen our business for the last three years, and we are in the middle of our, uh, you know, third year doubling. And so when you get three or four years of doubling every year, that’s compounded doubling. [00:04:24] Cyril Belikoff: Um, so, uh, we have seen lots of momentum from customers, lots of interest. We’ve made it, you know. Interesting for customers. Um, and incentivize our customers with their Azure commitments that can retire their marketplace, uh, acquisitions that way. We’ve made it, we’ve put incentives for partners and for our own sellers. [00:04:44] Cyril Belikoff: So we really creating the flywheel for everybody in the market to see value from, uh, the marketplace. So. Like, like, like you mentioned, like m the, uh, you know, suggested [00:04:55] Vince Menzione: Yeah. [00:04:55] Cyril Belikoff: It’s only exploding the opportunity on marketplace. [00:04:58] Vince Menzione: Well, and you both touched on the fact that the data is not in the cloud yet. [00:05:02] Vince Menzione: Not all the data that needs to be in the cloud in order to drive the future of where we wanna go from a society. Mm-hmm. And from a business application perspective needs to be in the cloud. So huge opportunities for partners around data states, around securing that data, governing that data, and so on, on top of all the business applications, [00:05:19] Cyril Belikoff: right? [00:05:19] Vince Menzione: As promise. So incredible. Yep. So let’s [00:05:22] Cyril Belikoff: talk about, yeah. The call migration. The call migration, people think that is over and it’s long from over because customers have plenty, uh, on premise, uh, not only Microsoft technology, but the, the, the, the software company or the ISV app that sits on top of it. Yeah. [00:05:36] Cyril Belikoff: And that needs to be migrated, managed, modernized, um, and marketplace is a big part of that too. Um, but there’s so many services and, um, opportunities around it. [00:05:45] Vince Menzione: Incredible opportunity. Let’s talk about the channel and the channel opportunity. You, you touched on this earlier, right? So this really lighting up the channel. [00:05:53] Vince Menzione: I saw this loud and clear when we were at Ignite. Like this is a huge opportunity for the Es, for the resellers, for all the partners. And as part of REO, you’ve got huge opportunities you’re laying out for them for the 500,000 part partners. You know, we talk about the Bill Gates moment down here in Boca. [00:06:09] Vince Menzione: This is where it all started. Uh, yep. How, how do you think about marketplace in the channel today? [00:06:16] Cyril Belikoff: Yeah. You know, it’s, um, it’s vital. You know, we have a customer need, um, from. The smallest is small business all the way to enterprise. And the really, the only way we serve that, the only way we know how to serve that is with our partners from the largest of partners that serve our top enterprises down through, um, what we call small and medium and then down to our small business. [00:06:41] Vince Menzione: Yeah. [00:06:41] Cyril Belikoff: Um, and so, you know, we have seen our. You know, while our, we’ve seen a doubling of our business, we’ve seen three, three and a half to four x doubling of our channel led sales. [00:06:53] Vince Menzione: Yeah. [00:06:54] Cyril Belikoff: Um, over the last year. And so while our overall business is doubling, channel is accelerating even, you know, even more. [00:07:02] Cyril Belikoff: And so there, there’s a need from our customers because they buy from our channel and there’s obviously a need from the channel. And so we created this resale enabled offer. As you mentioned, we, um. We announced private preview in September and launched GA at Ignite. So, you know, uh, November, just before Thanksgiving holiday and retail Enable offer is all about scale and how we connect a, a, an independent software vendor or a software company. [00:07:27] Cyril Belikoff: To authorize a channel partner to resell on their behalf on a particular geography. And then that allows software companies to expand into new markets with very little overhead. And it allows the channel partners to create a set of offerings, not only from one partner, but you might have multiple software companies or applications that you stitch that are together to create an end-to-end customer offering or experience. [00:07:51] Cyril Belikoff: And so we are seeing, we are seeing many to many relationships. So software companies might authorize many resellers, many markets they’re in, for example. Yep. And then resellers, um, they’re, they’re becoming authorized resellers from many software companies so that they can really stitch together, end into end solution. [00:08:09] Cyril Belikoff: And it, we’re loving it and we are getting great feedback. It is early days for our global availability for, uh, re office, which. But we had partners that were literally waiting, um, uh, and waiting for deals. And within the first week there was, they were, uh, processing the, the Oreo deals at, at, at quite large scale already. [00:08:31] Cyril Belikoff: So. We are excited about the feedback that we’re getting. We, as you know, we, we stay close to that feedback and we listen well, um, and adjust from it. So we got more work to do, but, um, it’s a great opportunity for, to connect our, our multiple types of partners, software companies, and resellers. [00:08:48] Vince Menzione: Yeah, I agree. [00:08:49] Vince Menzione: And you know, I talk to a lot of these organizations myself, and there is palpable excitement. In the channel from Distees that were sort of disengaged a couple of years ago, maybe, trying to figure out where they were gonna monetize. And the other way area that’s aligned to this as well is the Ms. P community. [00:09:06] Vince Menzione: So these MSPs are getting bigger and bigger, and organizations like Accenture, Avanade, and ndl. Or becoming MSPs or creating Ms. P practices within their own firms. But there’s even these smaller MSPs, but many of ’em are getting to a billion dollars or more. These were little mom and pop companies years ago, but the customer so needs to have, you know, especially with ai, right? [00:09:27] Vince Menzione: Because we’re in a constant state of evolution right now. I need somebody that can help me on the tooling and then also help me on, you know, getting the tooling to work. And so, uh, we’re seeing a lot of excitement from that. Community, which wasn’t really as engaged with Microsoft the way they that they are now. [00:09:43] Vince Menzione: They’re really getting engaged in a big way. [00:09:46] Cyril Belikoff: Yeah, it’s promising. Like you say, you know, the, the, we’re all learning this new AI world and obviously marketplace has taken off. We’ve had the classic SaaS solutions or cloud solutions on marketplace for a while, but really un having the local partner that’s close to the customer, what the customer’s trying to need to do and be able to connect the, the traditional. [00:10:07] Cyril Belikoff: Software as a service applications with these new AI experiences and really, uh, stitch them together and help them operationalize, you know, in their own, you know, cus in their own terms and what they’re trying to, uh, do is so important. You know, um, and to your point there, there are large, they’re the large ones that are seeing opportunity on the marketplace. [00:10:27] Cyril Belikoff: But the, you know, when you get down to, uh, medium and smaller businesses, they really need their local friendly resetter to help them. [00:10:35] Vince Menzione: Yeah. [00:10:35] Cyril Belikoff: Uh, so you’re right. We are seeing an, a new en energy engagement from not only our existing 500,000 partners, but a bunch of those new ones. [00:10:44] Vince Menzione: So, uh, again, second week of 2026, and people are really just starting to wake up from the holidays. [00:10:50] Vince Menzione: Now they’re getting ready for their s ks. All these partners are lining up and getting their teams aligned. Uh, you’re in front of them. Let’s have a conversation like what should they be doing better and differently? What do they need to go do now? It’s 2026. [00:11:06] Cyril Belikoff: Yeah. Um, you know, first of all, if you’re a software company, you know, understand what the, the Microsoft marketplace can help you with, uh, can help you scale to global markets, remove burdens like tax, um, a processing, engaging with customers. [00:11:21] Cyril Belikoff: Um, we’re seeing an acceleration and doubling of, uh, not an acceleration deals, but doubling of deal sizes, as you know, through the marketplace. Uh, and there. It helps with engagement at different types of companies, whether it’s, or different types of, uh, roles in a company, whether it’s a, a procurement person or an IT person or a business person. [00:11:42] Cyril Belikoff: So, you know, get onto the marketplace, create offerings, um, and give us feedback. And then on the reseller side, um, also lots of opportunities, you know, register as, as a reseller, um, you know, understand the benefits and. The, the Azure sponsorships that we have available for you, that you can close deals with their, their, their credits and, and incentives that we provide to you. [00:12:06] Cyril Belikoff: And then figure out how you do your first deal with a software company. Um, yeah. You know, a lot of people will say like, should I have a big strategy? And Yeah. Yeah. I mean, if you want to, that’s okay, but just getting into. Uh, the marketplace, figuring out one or two deals, transacting and seeing the opportunity is many ways the best way to do it and to learn it yourself. [00:12:28] Cyril Belikoff: And then you figure out, okay, where, where’s the opportunity for me in this deal? Am I in the transaction? Uh, am I in the services around the transaction or combination? Um, and just getting your feet wet will get you going and, and, uh, get you learning. [00:12:42] Vince Menzione: You know, I think about this in the, the time the partners are, they have this huge opportunity with Microsoft around marketplace and then thinking about how they build their own ecosystem. [00:12:52] Vince Menzione: And like you said, don’t, don’t try and boil the ocean, right. Don’t try and do it all at once. Mm-hmm. But start out small, but understand, you know, work with the Microsoft teams, understand how, how co-selling works, how to engage with the, with the Microsoft organization. How to, how to be up on marketplace, how to situationally. [00:13:09] Vince Menzione: You know, Jay and I were talking about this 28 moments and he talked about a deal that started out as an AWS deal, but it wound up a Microsoft deal because NTT and Software one were involved in the in the deal and influencing the customer’s decision process. Right working with Microsoft. And so we just need to be smarter, I think. [00:13:28] Vince Menzione: I think today it’s a very different model than it was 20 years ago when you and I got started in this business. Uh, yeah. And people just really need to go think about this more strategically in how they build this. [00:13:39] Cyril Belikoff: It’s great. I totally agree. Um, like I said, getting your feet wet, understanding the co-sell to your point and, and, and how Microsoft sells. [00:13:48] Cyril Belikoff: Um, and then understand what customers are trying to, you know, get, get, get out of it with their, their Azure commitments and how they can retire their Azure commitments through purchases on marketplace, which in sense them, um, to also work on the marketplace. So you, I think partners will find Microsoft sellers. [00:14:04] Cyril Belikoff: Own compensation, um, incentive to work. We’ll find that customers are incentive to transact on the marketplace. And so just enter that, you know, triangle and, and get engaged and, uh, and learn and then give us feedback. Like, like I’ve mentioned many times with you, we, uh, we take feedback every month from customers and partners in, in forums like this, um, in other forums, and then we evolve and, you know, build out, uh, stronger experiences. [00:14:31] Vince Menzione: Yeah. Cyril, I want to thank you again. So great to have you join us today and, uh, so excited to continue our, our mutual relationship and our beneficial relationship in 2026. So thank you again for everything you do and supporting us. [00:14:45] Cyril Belikoff: Yeah, thank you. Thank you. Happy New Year to yourself and uh, and your community and, uh, thanks so much again. [00:14:50] Cyril Belikoff: Appreciate it. [00:14:50] Vince Menzione: Thank you, Cyril. The Ultimate Partner Winter Retreat is gonna be here in the Boca Studio. This is the third year that we’re gonna be here in Boca. This is always a favorite of our community members, our executive members, our sponsors and speakers. We’ll all be here in the studio, which is a really intimate setting. [00:15:12] Vince Menzione: We can see upwards of 40, 50 people. Uh, we’ll be hosting an incredible dinner at the Boca Resort overlooking the golf course. That’s an incredible property and, uh, we’d love to have you join us. Thank you for being part of the ultimate Partner community, and I hope to see you this year at one of our events. [00:15:30] Vince Menzione: Thank you.

From Jan 8th. 2026What up PEEPS! We're back with another edition of the Daddy Issues Podcast. We're still looking for a new space but we had to make sure we showed up. Happy New Year!

Today's poem is New Year by Kate Baer. The Slowdown is your daily poetry ritual. In this episode, Maggie writes… “Is it too late to wish you all a Happy New Year? I don't think so. I don't think there's ever an expiration date on well wishes, and frankly, we need all the well wishes we can get for 2026!” Celebrate the power of poems with a gift to The Slowdown today. Every donation makes a difference: https://tinyurl.com/rjm4synp

Happy New Year, Everyone! Now let's talk about our new project, how the holidays were, Durfin and what it means , becoming High Agency people and much more. Glad to be back and thank you guys as usual!  This episode is sponsored by BetterHelp. Give online therapy a try at ⁠https://www.betterhelp.com/UNAPOD⁠⁠ ⁠and get on your way to being your best self To watch the podcast on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@DormtainmentTV⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Rome: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@iromealot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Cameron: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@camfromdt⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

We are back with a classic "Trials & Triumphs" episode! After a long hiatus from sharing their own home updates (since August!), Caroline, Taryn, and Liz sit down to catch up on what has been happening behind their own front doors. The ladies discuss the highs and lows of homeownership, from Liz's garage flood nightmare to Caroline's victory over a builder-grade "boob light." Taryn gives a major update on her Facebook Marketplace bed project (spoiler: it's finished!), and Caroline explains why she finally ditched her trendy jute rug for a vintage estate sale find. Quick Decorating Takeaways: Don't Fear the "Floater" Rug: Caroline shares her win with a vintage 8x11 rug. While 9x12 is the standard for living rooms, she explains that you can break the "all legs on" rule with a slightly smaller vintage piece as long as the front legs of your furniture anchor it comfortably. Spray It, Don't Brush It: Taryn confirms that for intricate furniture (like a spindle bed), a paint sprayer is non-negotiable. It saves hours of frustration compared to brushing and delivers a smooth, factory-like finish that makes DIY pieces look high-end. Upgrade the "Boob Light": It is the most common builder-grade eyesore, but swapping a flush mount is one of the easiest updates you can do. Caroline replaced hers in 20 minutes with a faux-alabaster fixture, instantly elevating her hallway for under $100. What You'll Hear on This Episode: 00:00 Welcome & Happy New Year! 01:30 Caroline's Triumph: Scoring a vintage Turkish rug on EBTH.com 06:00 The "Jute vs. Wool" debate: Why wool is actually cleaner 09:00 Taryn's Triumph: The $100 Facebook Marketplace bed is finished! 12:00 Painting Tips: Why you need a sprayer for spindles & the color reveal ("Stardew") 18:00 Liz's Trial: A pipe burst and ceiling damage in the garage 22:00 Liz's Triumph: Painting the front door "Tate Olive" 26:00 Caroline's Triumph: Replacing the hallway "boob light" with an Amazon find 32:00 Taryn's Trial: The struggle of finding bedding to match a blue bed 38:00 Closing thoughts & looking ahead to spring projects Also Mentioned: Everything But The House (Online Estate Sales) | ebth.com Paint Color: Sherwin Williams "Stardew" (Taryn's Bed) Paint Color: Benjamin Moore "Tate Olive" (Liz's Door) Paint Sprayer (Wagner) Shop Ballard Designs Please send in your questions so we can answer them on our next episode! And of course, subscribe to the podcast in Apple Podcasts so you never miss an episode. You can always check back here to see new episodes, but if you subscribe, it'll automatically download to your phone. Happy Decorating! Learn more about your ad choices. Visit megaphone.fm/adchoices

This weeks crew: Webby, Darren, Nick, Graham We return with our first episode of 2026 and we have some catching up to do since before Christmas. The hosts have played loads of games over the holiday period and this is the episode to talk about it. Games played include: Battlefield 6, GT7, F1 25, Space Marine 2, Papers Please, Ready or Not, Arc Raiders, Earthion, Batman Arkham Origins, Lego Party, Hello Kitty Island Adventure, Hitman, CarX Street, Granblue Fantasy Relink, Killer Frequency, Oblivion Remaster, Borderlands 4, Mortal Kombat Kollection, Alan Wake 2, Alien Incursion, Mindseye, and more. In the news we discuss Ubisoft and Rainbow 6 being hacked, BF6 losing 90%+ of its player base, GTA 6 delay rumours, Division 3, and Vince Zampella. https://www.patreon.com/360gamercast https://discord.gg/CqDMSg9 https://www.facebook.com/groups/360gamercast/ https://twitter.com/Webby360G https://twitter.com/360GamerCast

Kevin and Marc traverse the Upside Down to talk about the Avengers: Doomsday teaser trailers, discus the series finale of STRANGER THINGS, and Marc unveils his top 10 of 2025. All this and some Q&A too? Happy New Year, indeed. ►► Control Body Odor ANYWHERE with Mando and get 20% off + free shipping with promo code FATMAN at https://shopmando.com! #mandopod The perfect gift for the geek who has everything - Reserve an Investment in the new Scum and Villainy Rendezvous* ►► https://wefunder.com/scum.and.villainy.cantina

Happy New Year, Trash Pandas! We're back, and so much happened during our short break that we wanted to get into the highlights - and lowlights! In the dumpster this week: Mel Gibson is single again, and we wonder if that's related to Mel Gibson being able to own guns again.  Gisele Bundchen won her divorce from Tom Brady so hard that she's now married to the karate guy! Jiu-Jitsu, but you know what we mean. Mazel! Comedian Amy Schumer announced her divorce from husband of 7 years, chef Chris Fischer, with the year's finest statement.  Harry and Megan are on to their 11th publicist in five years? Seems like there might be a problem there. The Royals head to Sandringham for Christmas - minus Andrew and Sarah. Who have their own problems, let's be honest. Writer Jillian Lauren and Weezer bassist Scott Shriner have filed for divorce - but that's hardly the biggest obstacle Jillian experienced in 2025. And finally, Katy Perry, fresh off her breakup from Orlando Bloom, is dating former Canadian Prime Minister Justin Trudeau. Katy's ex-husband, facing multiple charges for sexual violence in the UK, told the crowd at Turning Point USA that he's none too happy about it! Want early, ad-free episodes, regular Dumpster Dives, bonus divorces, limited series, Zoom hangouts, and more? Join us at patreon.com/trashydivorces! Want a personalized message for someone in your life? Check us out on Cameo! Sponsors Smalls. Ranked as best overall cat food by Cats.com and Forbes! Get 60% off your first order, plus free shipping, when you head to Smalls.com/Trashy! To advertise on our podcast, please reach out to info@amplitudemediapartners.com.

From Ozzy to Tina to the Chili Peppers, hope springs anew each New Year's and has led to some of the most dramatic stories of redemption from music history. We dig into these stories in this bonus episode as we gear up for a new year ourselves and of course, dive into your voicemails, texts, DMs and more. Happy New Year from Disgraceland! 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/adchoicesSee omnystudio.com/listener for privacy information.