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Colby McArthur bought Clifton Tree Service at 22 years old and ran it as a solo owner operator for the first year — climbing trees, answering calls with a headset at 100 feet, estimating on weekends. He finished that year at $400K. One year later: $850K. In this episode, Colby breaks down the three things that drove that growth and what he's focused on as he targets $1.3M in 2026.What you'll learn:Why undercharging is the most common and most costly mistake owner operators make — and how to fix it fastThe first hire Colby made that changed everything (hint: it wasn't a climber)How to build an opener/closer sales model even when you're still in the fieldHow Colby uses Claude and ChatGPT to build a pricing tool, estimate from photos, and build SOPsWhat Colby would tell himself at $100K if he could go backTo contact Colby McArthur: colby@cliftontreeservice.com

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

On this episode of the Jared Williams Show, sales trainer Doug Wyatt of Synergy Learning Systems joins host Jared Williams to dismantle the sales stigma in trades like plumbing and HVAC, advocating ethical influence over high-pressure tactics through his 7 Foundations of Effective Communication—emphasizing mindset shifts, wordsmithing (e.g., "investment" vs. "fee"), RARE listening, and passionate EKG delivery to boost average tickets from $500 to $3,000+ without discounts. Drawing from his journey scaling companies from $1M to $7M amid recessions via communication mastery, Doug outlines three success pillars (technical, ops/marketing, influence), shares strategies for handling objections (bids, brands, stalls, price) to hit 60-90% close rates, managing "cancer" employees with 30-day plans, and scaling via direct mail frequency over blankets. Jared reveals implementing a fraction of Synergy's training added $1.2M revenue (net +$850K) with one fewer tech at his Alaska firm, concluding that focusing on value-driven communication transforms trades businesses and families ethically, with a free RARE Listening module offered at synergylearningsystems.net/rare.

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$1.5 million. That's what stockouts cost David's business. More than just a bad quarter, it was a cash flow crunch masked as logistics. Neil Twa delves into this story on The High Voltage Business Builders Podcast. Stockouts don't just mean lost sales; they directly slam your cash flow. Whether you're managing a $25K/month brand or a $1M+ operation, the hit is undeniable. Initially, David faced this struggle alone, hitting brass barriers he couldn't break. It wasn't until he joined a community, gaining direct support and accountability, that he turned things around. Learn how to calculate your true stockout costs, beyond the obvious. Neil and David share three moves that can stop you from leaving money on the table. This isn't about ignorance. It's about doing nearly everything right and still losing $1.5 million. Full transparency — here's what actually happened.

Most coaches scaling past $300K hit a ceiling and assume they need a higher-ticket offer. Maria Wendt did the opposite and built an 8-figure business selling $24 products. In this conversation, Natalie sits down with Maria Wendt — the founder behind an 8-figure business built on low-ticket products. Maria breaks down how she scaled to near-$1M/months working ~10 hours a week, the front-page checkout architecture that turns $1 orders into $100+ carts at a 60% take rate, why she walked away from the $1M/year coaching model after her daughter was born, and how she scaled to 100K YouTube subscribers in seven months with a webcam and no editor. If you've ever wondered whether low-ticket can actually scale past seven figures — without a higher-ticket offer, a bigger team, or longer hours — this episode is the full operating system. Time Stamps: 01:15  -The low-ticket 8-figure model 07:35 - Maria's first two years: $63 → $350 13:18 - The single-mom pivot to low-ticket 16:24 - Pricing, AOV, and lifetime value 21:00 - Checkout architecture and front-page bumps 31:40 - Content strategy: three types 38:25 - The $850K/month math 43:20 - Hiring strategy for mom-founders 49:00 - A typical day in the business Resources and Links:  Follow Maria: @maria.wendt on Instagram Free tutorials, free guides, and the full $24 product library lives at mariawendt.com. Pre-Order The Freedom-Based Business Method. Sign Up For Our Free Weekly Newsletter & Get Insights From Natalie Every Single Week On All Things Strategy, Motherhood, Business Growth + More.  Drop Us A Review On The Podcast + Send Us A Screenshot & We'll Send You Natalie's 7-Figure Operating System Completely FREE (value $1,997).

Now saving when you shop for your favorite gear at B&H Photo is even easier with the B&H Payboo Credit Card which lets you Save the Tax — you pay the tax, and B&H pays you back instantly! (Save the Tax on eligible purchases shipped to eligible states.) OR you can pay over time with our 6 & 12 month financing (on minimum purchases of $199 for 6 months, and $599 for 12 months). Terms apply, learn more at http://bhphoto.com/payboo. Credit card offers are subject to credit approval.Payboo Credit Card Accounts are issued by Comenity Capital BankThis week on the PetaPixel Podcast, we're giving away a new Canon G7X Mark III 30th Anniversary Limited Edition camera thanks to our friends at B&H Photo! GIVEAWAY RULES: Entrants must post a comment on YouTube, Instagram, Spotify, or the PetaPixel comments section below. The comment must have two parts:Comment must include a link to your portfolio (Instagram, YouTube, website, etc). If, for example, your comment is on Instagram and your portfolio is Instagram, just make that clear in your comments. The same goes for YouTubeComment must include a sentence about what you want to photograph with the Canon G7X Mark III. The winner will be chosen at random. The winner will be contacted directly by PetaPixel through the platform on which they entered and will be given three days to respond. If no response is received, PetaPixel will move on to another winner. NOTES:Beware of scammers impersonating PetaPixel or its employees and never provide any payment information to anyone. PetaPixel will never ask any winner to pay for anything. Shipping and all other fees will be handled by PetaPixel and B&H Photo.Giveaway entries will be accepted until May 5 @ 9 AM Pacific Time. Due to shipping restrictions, the contest is only open to those living in the United States (sorry!). You may enter up to four times by commenting on each platform. In This Episode:00:00 - Intro06:42 - WIN a Canon G7X III 30th Anniversary Limited Edition camera thanks to B&H Photo! 11:45 - I'm Back raised $850K for an APS-C sensor insert for film cameras21:44 - Jeff Bridges' WideluxX Revival Costs $4,400 and Ships By the End of 202628:27 - Some Sigma lenses got some great usability upgrades34:38 - Viltrox listened to Chris38:31 - Samyang 14-24mm f/2.8 is finally arriving on L-mount this week43:15 - Canon's limited edition Powershot G7X III hits store shelves this week44:20 - Point and shoot cameras we'd like to see come back1:02:26 - Chris forgot to review this1:03:32 - What have you been up to?1:07:38 - Tech Support1:12:19 - Check out our MacBook benchmarks1:15:56 - What happened to the detailed camera reviews, like Pop Photo's Nikon F4 review?

What does it actually feel like to be on the cusp of retirement and wonder if you're doing it right? This week, Jean sits down with two listeners, Nancy and Melissa, who are both asking the same underlying question: How do I make sure I don't run out of money in retirement, while still actually enjoying my life? First, Jean talks with Nancy, 68, a soon-to-be retired nurse with $850K saved, a pension, and Social Security on the way. Nancy wants to renovate her bathrooms before she stops working, but she's torn between using her HELOC or tapping her nest egg.  Then Jean hears from Melissa, 53, who, along with her husband, has $1.2M+ saved across tax-deferred, Roth, brokerage, and treasury accounts, and wonders if she's taking on too much risk. Jean helps her zoom out, look at the full financial picture, and think through what a bucket strategy or annuity could mean for her peace of mind. In this episode: HELOC vs. refinance vs. pulling from savings; how to think through home improvement financing in retirement The 4% rule and when it makes sense to use it RMDs, IRMAA penalties, and why timing your withdrawals matters more than you think What 72% stocks actually look like when you account for your entire net worth Why hybrid long-term care policies might be worth a look How guaranteed income can actually free you to invest more aggressively with the rest Learn more about your ad choices. Visit megaphone.fm/adchoices

Thinking about ditching the nine-to-five? Here is how career switchers turn existing skills into property success and build momentum faster than traditional agents. On The Property Nerds podcast, hosts Arjun Paliwal and Shahin Moeini explore how transferable skills and structured strategy can fast-track success in real estate and property investment. Moeini shares how his move from a traditional nine-to-five role into property wasn't a leap into the unknown – but a calculated shift in which sales, communication, and business experience became major advantages in building early momentum. The discussion explores how career switchers often underestimate the value of what they already bring to the table – with prior experience helping them build networks faster, make more confident decisions, and avoid common early-stage mistakes. Paliwal and Moeini also break down how early success isn't about starting from zero – but about activating existing skills and relationships to create traction and opportunity much sooner than most expect.

Norm Volsky doesn't just place people at companies. He invests in them. After 14 years in digital health and employee benefits recruiting, Norm has built something almost nobody else in this industry has pulled off: a $6M recruiting practice and a fully operational venture capital firm — running side by side, feeding each other, in the same niche. His first client, Livongo, sold to Teladoc for $18.5 billion. His second, Hinge Health, just IPO'd for $3 billion. He placed three dozen people at Hinge alone. And somewhere along the way, he realized the smartest investors in the room already trusted him more than any VC — because he knew every founder, every pricing model, every hiring trend before they did. So he stopped just taking fees. He started taking equity.

What does $1 million to $1.2 million really buy in the Perth property market - and which suburbs are set for the strongest capital growth in 2026? At higher price points, you unlock smarter opportunities that can outperform the market over the long term, but only if you know where to look. In this episode of Perth Property Insider, I’m revealing exactly what $1,000,000 - $1,200,000 buys in Perth right now… And more importantly, where to invest for the best capital growth, stability, and long-term returns. If you're a property investor, upgrader, or serious buyer looking at Perth real estate above $1 million, this episode will help you level up your investment strategy as your budget increases. Tune in to discover: ✅ The key differences between investing at $850K vs $1M+ in Perth✅ Why your investment strategy matters more than ever at higher price points✅ How to identify high-growth suburbs in Perth using the trifecta method✅ The balance between capital growth and rental yield at $1M+✅ How to build a strategic property portfolio at higher price points✅ Why owner-occupier suburbs outperform investor-heavy areas✅ The exact Perth suburbs and property types I'd target right now Key moments: 00:00:00 Intro00:01:00 What $1M and $1.2M Buys in Perth00:02:20 The Trifecta Method For Choosing Suburbs00:03:00 Growth Rates by Price Point00:05:00 X Factors That Drive Demand00:05:40 Double View Perth Investment Analysis00:08:20 High Wycombe Infrastructure Growth00:10:00 Stepping Up to $1.2 Million00:10:40 Bassendean Gentrification Upside00:12:20 Greenwood School Zone Stability00:14:40 Recap and Strategy Evolution Listen now and find out which Perth suburbs offer the best value at $1M to $1.2M before the market catches up. - Resource Link • Take our Property Investor Readiness Scorecard to uncover your blind spots and make smarter investment decisions before you buy: https://investorsedge.scoreapp.com/• View upcoming property investor webinars, events, and networking sessions: https://www.investorsedge.com.au/events/ • Thinking of selling? Get expert advice on timing and strategyhttps://www.investorsedge.com.au/appraisal • Get your Strategic Portfolio Plan and our help with Buying Your Next Perth Property (https://www.investorsedge.com.au/invest-in-perth-property/)• Get email updates about suburb intelligence reports and exclusive invites to our webinars, events, and workshops. Join (https://www.investorsedge.com.au/join) • Join the Perth Property Investment Facebook Group (https://www.facebook.com/groups/perthpropertyinvestors)• Join Jarrad Mahon’s Property Investor Update (https://www.investorsedge.com.au/join)• For more info on our award-winning and highly rated Property Management services that give you guaranteed peace of mind (https://www.investorsedge.com.au/perth-property-management-specialists/)• For more info on how our Property Sales services can ensure you get the best selling price while handling all the stress for you (https://www.investorsedge.com.au/selling-your-perth-property/) - Connect with Perth Property Insider: https://www.youtube.com/channel/UCgT9-gB6RS69xSgc8J9KrOwhttps://www.facebook.com/investorsedgeSee omnystudio.com/listener for privacy information.

What suburb should you buy in Perth in 2026? The truth is, this is the wrong question to be asking. In this episode, I'm revealing exactly what you should buy at your budget - and where to find the best value property investment opportunities in Perth right now. Whether you're working with a $600K or $850K budget, this guide walks you through real strategies, suburb-by-suburb insights, and the proven "Trifecta Method" I use as a buyer's agent to identify high-performing investment properties - in the Perth property market. Here's what I cover: ✅ Why "what’s the best suburb in Perth" is the wrong question for property investors✅ What $600K vs $850K actually buys you in Perth today✅ How to choose between units, villas, and houses at each price point✅ The 3-step Trifecta Criteria for smarter property investing✅ Key growth drivers pushing Perth property prices up in 2026✅ Common investment mistakes most buyers make (and how to avoid them)✅ Suburb breakdowns: Maylands, Tuart Hill, Carlisle, and Waikiki Key moments: 00:00:00 Intro00:01:00 Budget vs suburb (what wins every time)00:02:20 The Trifecta Criteria for property investing00:03:40 Why your street matters more than the suburb00:05:40 What $600K buys in Perth 202600:07:40 Maylands investment traps to avoid00:08:00 Tuart Hill property value play00:09:00 What $850K buys in Perth 202600:11:20 Waikiki and the AUKUS defense growth driver00:13:20 How to match suburb to your strategy Hit play now and find out exactly where your budget should be pointed in Perth's 2026 market. - Resource Link: • Take our Property Investor Readiness Scorecard to uncover your blind spots and make smarter investment decisions before you buy: https://investorsedge.scoreapp.com/• View upcoming property investor webinars, events, and networking sessions: https://www.investorsedge.com.au/events/ • Thinking of selling? Get expert advice on timing and strategyhttps://www.investorsedge.com.au/appraisal • Get your Strategic Portfolio Plan and our help with Buying Your Next Perth Property (https://www.investorsedge.com.au/invest-in-perth-property/)• Get email updates about suburb intelligence reports and exclusive invites to our webinars, events, and workshops. Join (https://www.investorsedge.com.au/join) • Join the Perth Property Investment Facebook Group (https://www.facebook.com/groups/perthpropertyinvestors)• For more info on our award-winning and highly rated Property Management services that give you guaranteed peace of mind (https://www.investorsedge.com.au/perth-property-management-specialists/)• For more info on how our Property Sales services can ensure you get the best selling price while handling all the stress for you (https://www.investorsedge.com.au/selling-your-perth-property/) - Connect with Perth Property Insider: https://www.youtube.com/channel/UCgT9-gB6RS69xSgc8J9KrOwhttps://www.facebook.com/investorsedgeSee omnystudio.com/listener for privacy information.

In this episode of Milestones to Millionaire, we meet Chabely Rodriguez, a certified anesthesiologist assistant (CAA) who has built an impressive $850,000 net worth early in her career. Chabely shares her financial journey, including the realities of working in anesthesia, how locums work has influenced her income strategy, and the steps she has taken to steadily build wealth. We discuss how high-income healthcare professionals outside of medicine can still follow many of the same White Coat Investor principles, including maintaining a strong savings rate, avoiding lifestyle inflation, and creating a long-term investing plan. Chabely also explains the strategy behind reaching this milestone and reflects on the lessons she has learned along the way. Her story highlights how consistent saving, intentional financial decisions, and a clear plan can lead to significant progress toward financial independence. Whether you are a physician, anesthesia professional, or other high-income professional, this episode offers valuable insights into building wealth and staying focused on long-term financial goals. One of the most underrated financial moves in medicine is working locum tenens. It pays significantly more on average, and you can work locums full time or on the side of your full time. When you work with CompHealth, the #1 staffing agency, they cover your housing and travel costs —which on top of higher pay, really adds up. Locums also gives you more control of your career, allowing you to go where you want, when you want, with a schedule that works for you. It's the perfect way to get ahead financially while getting focused on what you love.  Whether it's locum tenens or a regular permanent position, visit https://whitecoatinvestor.com/CompHealth and build your career your way with the power of CompHealth. Celebrating your stories of success along the journey to financial freedom! Tune in every Monday to the Milestones to Millionaire Podcast, where we celebrate the financial achievements of our listeners and share practical tips for reaching your own milestones. We want to celebrate your milestones—no matter how big or small—and help inspire others to follow your lead. Every week, these episodes feature one listener who has recently achieved a milestone they are proud of and want to celebrate, and they give any advice they have for those who want to follow their example. Make sure to listen every Monday to be inspired by your fellow white coat investors. Celebrate YOUR Milestone on the Milestones to Millionaire Podcast: https://whitecoatinvestor.com/milestones  Website: https://www.whitecoatinvestor.com  YouTube: https://www.whitecoatinvestor.com/youtube  Student Loan Advice: https://studentloanadvice.com  TikTok: https://www.tiktok.com/@thewhitecoatinvestor  Facebook: https://www.facebook.com/thewhitecoatinvestor  Twitter: https://twitter.com/WCInvestor  Instagram: https://www.instagram.com/thewhitecoatinvestor  Subreddit: https://www.reddit.com/r/whitecoatinvestor  Online Courses: https://whitecoatinvestor.teachable.com  Newsletter: https://www.whitecoatinvestor.com/free-monthly-newsletter  00:00 Milestones to Millionaire Podcast #266 03:46 $850K Net Worth as an Anesthesia Assistant 20:24 Healthcare FSAs

Oil industry warns Trump administration that fuel crunch will likely worsen, the GOP isn't fazed by your concerns over economic fallout, and video of elderly DoorDash driver sparks over $850K to help him go back into retirement.

Josh Volinsky never hired a single recruiter. No experience, no desk history, no cold call background — just accountants. And somehow he built a $5M firm where 7+ people billed over $400K in their first year.  That's not a fluke. That's a system.  Josh is the co-founder of Synergy Search and the former all-time single-month billing record holder at Robert Half — $259K in one month. He walked away from one of the cushiest books of business in the industry, started a firm above a liquor store and a Dunkin' Donuts, hit $2.7M in year one, and $5M in year two. Then the market shifted, their best performer passed away suddenly, and everything they'd built got stress-tested in the worst possible way.  This episode is the full story. The rocket ship. The crash. The rebuild. And the exact decisions — on hiring, culture, KPIs, and partnership structure — that separated Synergy Search from every other firm that tried the same thing and failed.  **What You'll Learn** - Why hiring experienced recruiters actually slows your growth (and what to hire instead) - The "day in the life" interview method that predicts top billers before they start - How implementing KPI tracking turned a $700K quarter into a single $700K month - The exact culture reset that took them from their worst quarter ever to their best Q4 in firm history - Why splitting everything equally with partners — even when others called it crazy — was the secret to scaling fast - The relationship-building system that took one recruiter from $400K to $850K per year - What separates $500K+ billers from everyone else in today's market (it's one thing)   If you run a desk, lead a firm, or are thinking about going out on your own — this one's going to hit different.  **Timestamp Highlights** 00:40 – The moment Josh told his wife he was leaving Robert Half 05:19 – The $259K month that broke the all-time firm record 08:00 – Why they spent $25K before making a single call 16:21 – How following the non-compete forced their best BD strategy 18:49 – Doubling lifetime billings in one month after their first hires 22:13 – Full desk vs. split: putting people in positions to thrive 31:45 – The worst quarter in firm history and the breakfast that changed everything 36:57 – The 3 levers they pulled to reboot the culture 39:31 – How KPI scorecards produced three $100K billers in a single month 43:06 – The hiring blueprint: A-players only, and how to spot them 53:30 – What $700K+ billers do differently than everyone else   ---

The "Fresh Dirt" Strategy: How to Buy the Right Business in a Growing Market Most entrepreneurs look at revenue. Private equity looks at EBITDA. But Tyler Brennan looks for something different… Fresh dirt. In this episode of the Blue Collar Millionaire Podcast, Tyler breaks down the exact strategy he used to: Buy an $850K golf course and turn down a $12.5M offer Scale a drone e-commerce business to $18M Exit multiple businesses to private equity Identify growing markets before everyone else If there's no fresh construction… no new rooftops… no growth in the area… He's not buying. You'll learn: → Why growing markets matter more than "perfect" businesses → How to structure seller-financed deals → When to sell to private equity (and when NOT to) → Why clean books matter more than high revenue → How to buy businesses others are too scared to touch There are many ways to build wealth. But the foundation is always the same: discipline, action, and positioning yourself where money is already flowing. If you're serious about buying a business...this episode is a must-watch.

2 Units vs. 1 House? How to Invest $850k in NSW for Maximum Growth! Listener's Choice      Every month, we ask our audience to send in a suburb that they'd like analysed. InvestorKit's senior research analyst Junge Ma dives deep into the numbers to help you make smarter buying decisions in today's market.   In this episode, Todd and Junge break down whether New South Wales still stacks up for investors and what the data says about choosing between units and houses, and break down what the numbers are actually telling us.   From economic strengths and housing affordability to jobs, supply pipelines and long term vision, this episode helps you balance cash flow against long term growth. This episode is definitely a must watch!    

In this episode of Sports Cards Nonsense, Mike Gioseffi sits down with Chris Thomas of Ataboy Cards to break down a masterclass in scaling the sports card hobby into a high-six-figure empire. Chris isn't just a collector; he's a full-time music teacher who has cracked the code on balancing a 9-to-5 with a card business projected to gross $850,000 in 2026.The "Bet on Yourself" Moment: Chris reveals the $1,400 investment that changed everything and how he turned it into $1,000 profit in 24 hours. He also shares how he's 3Xing his business year-over-year by leveraging live selling and community engagement.Plus, he brought a game! Gio brings in Papa Gio for a game of Keep or Cut: Boston Sports Icons featuring Brady, Bird, Ortiz and more.Control Body Odor ANYWHERE with ⁠@shop.mando⁠ and get 20% off + free shipping with promo code NONSENSE at ⁠shopmando.com⁠! #mandopod #adOur listeners get the ⁠Harry's Plus Trial Set⁠ for only $10 at ⁠Harrys.com/Nonsense⁠ - Be sure to use the code Nonsense if it asks where you came from #Harryspod #ad Learn more about your ad choices. Visit megaphone.fm/adchoices

In this week's episode of the Rich Habits Podcast, Robert Croak and Austin Hankwitz answer your questions!---

Need financing for your next investment property? Visit: https://www.academyfund.com/ Want to join us in Charleston, SC on June 1st & 2nd? Visit: https://www.10xvets.com/events ____ Jeff Evenson is an experienced business leader and scaling strategist at scaling.com, where he works with founders who are ready to move from early traction to sustained growth. Alongside Blake Erickson and Dr. Benjamin Hardy, he helps entrepreneurs shift from being day-to-day operators to becoming strategic leaders who design companies that scale. Over the last two decades, Jeff built and exited multiple businesses, including a $3.5M hair salon operation, a manufacturing firm, and a machine shop. He formally entered the coaching space in 2021 and recently joined scaling.com after an introduction from fellow West Point graduate Freddie Kim. Today, his work centers on helping business owners grow with clarity and discipline through three guiding principles: raising frame, raising floor, and sharpening focus.     In this episode of the SABM podcast, Scott chats with Jeff about: From West Point to Multiple Exits: Jeff's journey through the Army, corporate finance, business ownership, and the lessons learned from exiting companies through divorce and partnership dissolution. The Three Pillars of 10X Growth: How a simple, proven framework turns seemingly impossible goals into achievable ones in three years or less. The Print Shop Case Study: How one business owner went from $850K to a path toward $10M by eliminating sub-$5k clients and acquiring a $3M company with a built-in sales team. Operator to Architect: Why the biggest transformation isn't in your business model, it's in who you need to become to lead a 10x company. The Big Vision: Scaling.com's goal to help 5,000 businesses scale simultaneously in the next two years.   Timestamps: 01:02 Jeff's Journey from West Point to Scaling.com 05:02  Why 10X is Easier Than 2X 09:07 The Three Pillars: Frame, Floor, and Focus 12:34 Case Study: Scaling a Print Shop from $850K to $10M 26:57 Transformation Required, Operator to Architect 34:19 Scaling.com's Vision and How to Get Involved Connect with Jeff: LinkedIn | Jeff Evenson www.scaling.com jeff@scaling.com  If you found value in today's episode, don't keep it to yourself—share it with a colleague or friend who could benefit. And if you're a Service Academy graduate ready to elevate your business, we'd love for you to join our community and get started today. Make sure you never miss an episode subscribe now and help support the show: Apple Podcasts Spotify Leave us a 5-star review! A special thank you to Jeff for joining me this week. Until next time! -Scott Mackes, USNA '01  

On this episode of Changing Lives Financially, Tineka and Wayne share how they went from financial insecurity and a large mortgage to owning their home outright and building a portfolio of five investment properties. Coming from backgrounds in education, mental health, and policing, they openly discuss the pressures they faced, especially while managing a blended family. Their turning point came when they partnered with a financial advisory firm that helped them restructure their finances, create a clear plan, and approach money with more confidence and strategy. With expert guidance, disciplined budgeting, and consistent communication, they learned to balance risk and reward while navigating the property market. They highlight how crucial financial literacy and a supportive network were in helping them stay aligned and push through challenges. Their story demonstrates how long term commitment, patience, and informed decision making can completely transform a family's financial future.

How do you build one of the fastest-scaling independent alcohol companies in America — without diluting ownership?That's the story of Mom Water, the fruit-infused vodka water RTD brand that has gone from a backyard experiment in 2018 to a 850,000-case business by 2024 — and continues to grow. With playful, first-name flavors like Linda, Susan, and Kathy, Mom Water blazed a new path in the RTD category by staying still (non-carbonated) while everyone else went fizzy.In this episode, CEO Kara Woolsey walks us through how the brand:Turned a vacation resort hack into a disruptive category playSurvived co-packing disasters and empty warehouses to stay alive in Year OneWent viral on TikTok and built a cult following among Gen Z — even though it was designed for momsLanded major retail accounts like Target, Walmart, and Publix, with chains now driving more than half of its businessLaunched Dad Water, a tequila water, and the very different challenges of scaling a second brandBalanced explosive growth with profitability by staying lean, resisting big checks, and keeping ownership in the familyFor drinks founders, Kara's story is a rare playbook in discipline and execution: Building a national brand that can compete with the big RTD players — without selling a majority stake.If you want to understand how to scale a breakout brand in one of the most competitive categories, this episode is packed with actionable insights.Last Call:

What would you do if you were making over $850,000 a year but felt completely trapped? In this episode, we're sharing exactly what it takes to stop trading time for money and start building a truly leveraged real estate business. For any real estate professional looking to take their career to the next level, this is a masterclass in investing for beginners. You'll discover why the biggest challenge isn't generating leads, but knowing all the different solutions to every problem a seller might have. You'll hear about the power of an investor mindset and how to master wholesaling real estate and other creative financing strategies. This isn't a quick fix, it's a total game-changer.The key to long-term success isn't just working harder, it's adopting a long term investor mindset that allows you to work smarter. The path to how to create wealth investing in real estate starts with unlearning what you thought you knew and having the courage to make a massive change. Learn why focusing on a diversified portfolio and cash flow is a far more powerful strategy than a high-income business that owns you.Here's what you'll gain from this episode:✅ A new perspective on what it means to be a "principal" in real estate, not just a salesperson.✅ Insight into why having a high net worth doesn't guarantee financial freedom.✅ The emotional and strategic roadmap for making the hardest but most rewarding pivot of your career.We challenge you to rethink everything you know about the real estate mindset.

Download our list of 42 High Performing (and profitable) Franchises: https://www.franchiseempire.com/42hpfThinking about buying a Papa John's franchise? In this breakdown, I walk through the real startup costs, profit potential, and whether this $850,000 pizza franchise is actually a good deal. We cover how much Papa John's franchise owners make, franchise fees, royalties, and everything else you need to know straight from the 2025 FDD.------------------Considering Investing In A Franchise?

All the hints we missed in the lead up to Travis Kelce and Taylor Swift's engagement and details from the $850K ring designed by Travis to Taylor's sold out dress. Catch The Jimmy & Nath Show with Emma live on 1041 2Day Monday to Friday from 6am-9am! Follow us on Instagram and TikTok @thejimmyandnathshowwithemma Want your jokes to be on our pod? Send them in a voice note here: hello@jimmyandnath.com Subscribe on LiSTNR: https://play.listnr.com/podcast/the-jimmy-and-nath-show See omnystudio.com/listener for privacy information.See omnystudio.com/listener for privacy information.

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

Today is Thursday, July 31. Here are some of the latest headlines from the Fargo, North Dakota area. InForum Minute is produced by Forum Communications and brought to you by reporters from The Forum of Fargo-Moorhead and WDAY TV. For more news from throughout the day, visit InForum.com.

From Wall Street to Main Street, the latest on the markets and what it means for your money. Updated regularly on weekdays, featuring CNBC expert analysis and sound from top business newsmakers. Anchored by CNBC's Jessica Ettinger.

@tashinvests has always been open in sharing her net worth journey. Her hope (and that of the Get Rich Slow Club) is to encourage the idea that it's okay to talk about money. So many people treat their finances like politics or religion: something to avoid in polite conversation. However, by normalising conversations about money, we believe that the community can learn from each other, and overcome harmful stigmas.In this spirit, Tash and Ana spend this session discussing how Tash's net wealth increased by $250k overnight. We hope you enjoy the episode – and feel inspired to start your own conversations about money!@tashinvests@anakresina@getrichslowclub@pearlerhqGet Rich Slow ClubPearlerYouTubeHow To Not Work ForeverDisclaimerAny advice is general and does not consider your financial situation needs, or objectives, so consider whether it's appropriate for you. You should also consider seeking professional advice before making any financial decision.Natasha Etschmann is an Authorised Representative #1299881 of Guideway Financial Services Pty Ltd AFSL#420367. Read the FSG available from https://tashinvests.com/linksPearler is an Authorised Representative #1281540 of Sanlam Private Wealth Pty Ltd AFSL #337927. Read the FSG available from https://pearler.com/financial-services-guideIf you are considering any of the products we spoke about during the show, be sure to read the Product Disclosure Statement & Target Market Determination available from the product issuer's website before deciding. Hosted on Acast. See acast.com/privacy for more information.

Bitcoin iconoclast and prophet Max Keiser joins Isabella Santos at Bitcoin 2025 to discuss his mission to spread Bitcoin nationhood across Latin America—starting with El Salvador and now Panama.He breaks down the dual strategy of top-down political coordination and bottom-up grassroots revolution, and outlines the game theory that compels sovereigns to adopt Bitcoin. Keiser warns of a looming corporate credit bubble in Bitcoin treasury strategy and explains why Japan's 10-year bond yield is the domino to watch. He ends with a fiery call to embrace Bitcoin as a spiritual force to unfuck money—literally our “last chance.”

Max Keiser calls Japan's bond yield Bitcoin's “countdown clock,” warning a collapse could fuel a rush to BTC, pushing it as high as $850K. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Global Risk Community Chat, we discuss critical cybersecurity tips for risk managers to help you avoid devastating losses like $850,000 due to cyber threats. Mark Bassingthwaighte, National Risk Manager at ALPS Corporation, shares his 27+ years of expertise, focusing on protecting businesses from sophisticated cyberattacks, including business email compromise, wire fraud, and the impact of AI-driven scams. Mark highlights actionable strategies such as mandatory social engineering awareness training, out-of-band communication for verification, and securing home networks for hybrid work environments. Whether you're a risk manager, Chief Risk Officer, or simply looking to strengthen your business's cybersecurity, this episode is packed with practical advice to safeguard your organization. If you want to be our guest or suggest a guest, send your email to info@globalriskconsult.com with the subject line "Guest Proposal."

Billionaire Bitcoin Legend Max Keiser made a bold price prediction that Bitcoin will likely 10x in price this cycle on Jimmy Dore's show: "Bitcoin should trade on parity with gold in terms of market capitalization which means that it could easily go from $85K a coin to $850K a coin during THIS cycle." Learn more about your ad choices. Visit megaphone.fm/adchoices

In this powerful episode of Journey To Legacy, we welcome Zarar Ameen, Founder & CEO of Launch My Agency, who shares his remarkable journey from facing complete business collapse to building an 8-figure empire that has transformed over 10,000 lives.At just 23, Zarar had scaled an impressive agency with six offices and 120 employees, only to lose everything due to a partnership gone wrong—leaving him $850K in debt in a third-world country. Instead of admitting defeat, he transformed this devastating setback into the foundation for his Million Dollar Agency System™, which now helps professionals escape the corporate grind and achieve financial independence.

This week's Espresso covers news from Solfácil, Capim, Advolve.ai and more!Outline of this episode:[00:30] – Solfácil raises $170M to expand solar financing in Brazil[00:39] – Capim raises $26.7M Series A[00:55] – Advolve.ai raises $5.3M seed round led by Canary[01:08] – Brick raises $865K seed round[01:18] – Maxxa raises $10.6M in debt to expand SME lending in Chile[01:30] – Sytrex raises $1.1M to automate financial processes with AI[01:42] – YaVendió raises $850K pre-seed round[01:52] – Interview with David Tafur, CEO and Founder of YaVendió[08:23] – Latamlist Roundup Feb 1st – Feb 15th[08:33] – Sofi: Smarter, more effective debt recoveryResources & people mentioned:Startups: Solfácil, Capim, Advolve.ai, Brick, Maxxa, Sytrex, Yavendió, SofiVCs: Valor Capital, QED Investors, Canary,  Honey Island, Broom Ventures, Symbiotics, Delphos, Broom Ventures, Aito Capital, Kuiper, AAC Capital, Magma Partners, iThink VC, Semilla Ventures.People: David Tafur, Tatiana Pomar

In this week's episode of the Rich Habits Podcast, Robert Croak and Austin Hankwitz answer your questions! --- Download our FREE Financial Planning Workbook for 2025!

This is a free preview of a paid episode. To hear more, visit meetthemess.substack.comMove over, Meet the Press—it's time to MEET THE MESS!This week on the podcast, Jen and Karyn discuss how they are coping with the world's impending doom. (Spoiler: it involves shopping and baking bread.) Then, Jen unveils her list of “who can f*ck right the f*ck off right now.” (Looking at you, Snoop.) Plus, hear the wild story of a French woman who was scammed out of $850K by a Brad Pitt impersonator — and then cyber bullied for it! Also, hear about Biden's latest pardons, Elon's disturbing salute at Trump's inauguration, the latest in the Blake Lively & Justin Baldoni feud, an alarming new craze in baby names, 2025 food trends, the long-awaited ban on Red Dye No. 3, and how Prince Harry is heading to court!On Meet the Mess, bestselling authors Jen Lancaster & Karyn Bosnak dive into the messiest news stories and hottest topics of the week to give a fresh and entertaining take on current events and life in general. An extended video version with the “Hot Mess of the Week” is available to paid Substack subscribers. Visit meetthemess.substack.com for more.Meet the Merch:• https://www.etsy.com/shop/MeetTheMessConnect with us on Instagram:• https://www.instagram.com/meetthemesspod• https://www.instagram.com/jennsylvania• https://www.instagram.com/karynbosnakConnect with us on TikTok:• https://www.tiktok.com/@meetthemess• https://www.tiktok.com/@karynbosnak

Woman Loses $850K in Romance Scam by fake Brad Pitt photos Please Subscribe + Rate & Review KMJ’s Afternoon Drive with Philip Teresi & E. Curtis Johnson wherever you listen! --- KMJ’s Afternoon Drive with Philip Teresi & E. Curtis Johnson is available on the KMJNOW app, Apple Podcasts, Spotify, Amazon Music or wherever else you listen. --- Philip Teresi & E. Curtis Johnson – KMJ’s Afternoon Drive Weekdays 2-6 PM Pacific on News/Talk 580 & 105.9 KMJ DriveKMJ.com | Podcast | Facebook | X | Instagram --- Everything KMJ: kmjnow.com | Streaming | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Gia joins the show and we're talking cats & dogs! (00:00-28:17). TikTok ban + RedNote app? (28:18–42:14). Jessica Simpson & Eric Johnson divorce (43:31-51:36). Beyoncé postpones announcement due to LA fires (51:37-56:22). Justin Bieber new music rumors (56:23-1:09:34). Kate Middleton reveals she's in remission (1:11:02-1:13:56). Patrick & Brittany Mahomes welcome 3rd child (1:13:57-1:20:24). Jonas Brothers filming holiday movie (1:20:25-1:27:22). French Woman says AI Brad Pitt scammed her out of $850K (1:27:23-1:35:12). PopCorner Segment voicemails (1:36:34-2:03:11). CITO LINKS > barstool.link/chicks-in-the-office.You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/chicks-in-the-office

The Context of White Supremacy hosts the weekly forum on Neutralizing Workplace Racism 12/13/24 We got a dose of Friday the 13th in the midst of the "holiday season." Gus T recommends avoiding celebration of holidays or pagan rituals in the workplace. Partly because the environment is so dastardly. We discussed the case of Houston firefighter Melinda Abbt, who was awarded $850K after her coworkers on the Houston Fire Department stole graphic photo and video content from her computer and distributed it widely. This is another reminder of why non-white people should have a strict code about using your phone or laptops in the workplace. Assume your colleagues will copy your entire hard drive if given the chance. Gus recommends notifying your supervisor and others authority figures in the workplace if you receive pornographic content. Make it known that this content was unsolicited and unwanted. #NSFW #TheCOWS15Year INVEST in The COWS – http://paypal.me/TheCOWS Cash App: https://cash.app/$TheCOWS CALL IN NUMBER: 605.313.5164 CODE: 564943#

Welcome back to The SaaS CFO Podcast! Today, we're thrilled to host Mark Walker, the visionary co-founder of Revved Up. With a dynamic background ranging from the events industry to pivotal roles in tech and SaaS, including growth leadership at Eventbrite and various startups, Mark's journey is packed with insights on building and scaling go-to-market teams. His unique career trajectory and vast experience offer a wealth of knowledge for anyone navigating the fast-paced world of tech startups. In this episode, Mark introduces us to Revved Up, an innovative platform leveraging AI to transform account-based marketing. Born from Mark's challenges as a CRO in ensuring consistent, relevant outreach, Revved Up provides scalable research and bespoke content. Its mission is to simplify lead generation and enhance engagement with prospects. Mark's insights on AI in marketing are sure to inspire SaaS founders and marketers looking to innovate and optimize their strategies. Additionally, Mark shares his fundraising journey, having raised nearly a million dollars in pre-seed funding to propel Revved Up's growth. From initial struggles to oversubscribed rounds, his experiences yield invaluable lessons for other founders. With their headquarters in London and a remote team spanning continents, Revved Up is on an exciting trajectory. As Mark and his team gear up for the next phase, we'll get a sneak peek into what's ahead. Whether you're intrigued by AI, SaaS marketing, or startup funding, this episode is packed with actionable insights and inspiration. So sit back, relax, and let's dive in! Show Notes: 00:00 Revved Up focuses on educating and resonating buyers. 04:22 Scaling ABM principles for outreach across markets. 08:47 AI tools personalize large, complex deals efficiently. 12:34 Improving UX and surprising clients with AI. 14:04 Raised large pre-seed due to high interest. 19:38 Expanding team aligns with tools' effectiveness improvement. 21:16 Aim: Increase response rate to 5%. Links: SaaS Fundraising Stories: https://www.thesaasnews.com/news/revvedup-raises-850k-pre-seed-round Mark Walker's LinkedIn: https://www.linkedin.com/in/jfdimark/ Revved Up's LinkedIn: https://www.linkedin.com/company/revvedupai/ Revved Up's Website: https://revvedup.ai/ To learn more about Ben check out the links below: Subscribe to Ben's daily metrics newsletter: https://saasmetricsschool.beehiiv.com/subscribe Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page SaaS Metrics courses here: https://www.thesaasacademy.com/ Join Ben's SaaS community here: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Follow Ben on LinkedIn: https://www.linkedin.com/in/benrmurray

What if success was always within reach, would you make yourself available for it?   In our latest Wealth on the Beach Club podcast, we welcome Chris Achong, a self-made multimillionaire who turned struggles into triumphs. With $850K+ in annual passive income, Chris reveals the mindset and strategies that transformed his life.   Listen now to learn:   • The key to making success always available. •  How to build passive income and financial independence. • Why resilience and leadership are vital for growth.   Chris's journey from tragedy to financial freedom is not only inspiring but packed with actionable advice to help you achieve your own goals.   Success is out there waiting. Are you ready to claim it?  

Thank you for 850,000 subscribers!

Kevin Braun is an electrician for Amps & Volts Electric in Valparaiso, IN.  Kevin is an absolute superstar, as he sold AND installed $850K in residential electrical work in a small, largely rural market.  (And the year before, he sold and installed $750K!)  In this interview, Kevin shares his entire service call process.  Kevin does a masterful job of educating and closing homeowners, while not applying any sales pressure.  The key to his success is customizing each job to fit the life, health, and safety needs of each customer.  With Kevin's process, he gets very few objections because homeowners build their options with Kevin.  It's no surprise that he does so well.  This is a great interview for technicians or salespeople who are leery about selling.   Sales doesn't mean pushy.  Sales means listening, observing, educating, giving options, and taking great care of your customers. Show NotesThe Successful Contractor Podcast is a part of the CertainPath family.  CertainPath builds successful home service businesses—and has for 25 years.  We do it by providing contractors with a proven path to success, professional coaching, software solutions, and a member community of 1,100+ strong. Doubling your sales, with a 20% net profit, and an inspiring company culture is ALL possible.  Let us show you the way. With CertainPath, Success is Made Certain. Visit www.mycertainpath.com for more information.  FOLLOW CERTAINPATH:Facebook: https://www.facebook.com/CertainPathLinkedin: https://www.linkedin.com/company/certainpathInstagram: https://www.instagram.com/certainpath/ Thank you to our sponsors:Amana. Amana® brand is a premium brand from Daikin, the world's #1 indoor comfort solutions company with over 20,000 employees in just North America!   Originating eight decades ago, the Amana brand is synonymous with long-lasting, premium-quality products. Chances are, you and generations before you have enjoyed the dependable performance and longevity that the Amana brand continues to deliver. Today, Amana brand systems, like the new S-Series side discharge system with inverter technology, are manufactured with high-quality materials and innovative technologies. The unique design and excellent energy-efficient performance of the S-Series is a fraction of the size of other Amana brand systems. Because of its slim design, it is easy to transport and install. The Amana brand S-series system is available in AC, heat pump, and dual fuel configurations. Every Amana brand indoor comfort product is built to our highest standards. The S-series is no different. Take comfort with its 10-year parts and Lifetime Unit Replacement limited warranties*. For more information on the Amana S-Series, “Follow” the Amana brand on LinkedIn, Facebook, Instagram and YouTube.  Shubee.  Keeping your client's floors clean can be a hassle. But it doesn't have to be when you use ShuBee's high-quality shoe covers and surface protection products on every job. Our products are specifically designed to showcase your professionalism at a minimal cost per job. Made from strong, durable materials that won't rip or tear, our products ensure maximum protection. We know that your time is valuable, and that's why we make it our mission to provide you with the tools you need to get the job done quickly and efficiently. So why wait? Try ShuBee today and experience the difference for yourself! Visit www.shubee.com to check out some of our great products and use code SC10 to get 10% off all ShuBee products. Staples- Staples is the leading provider in office supplies offering a vast selection of products and services. Over the last 2 years, Staples has also become one of the US largest janitorial suppliers as well. From your everyday business essentials to your office furniture, printing, facilities and breakroom, Staples can do it all. Staples offers benefits to help create efficacies in procurement and consolidate vendors to streamline internal processes. Visit www.staplesadvantage.com for learn more.   PremierOne. PremierOne's hi-output germicidal UV is the scientifically correct solution to indoor air quality problems used by hospitals and food manufacturing facilities world-wide. We offer a complete solution to all three phases of indoor air pollution.  Produced in North America, our products have a 99.9% sucess rate due to live testing.  Each unit goes through a rigorous testing procedure during the  manufacturing process. CertainPath members earn a generous rebate when PremierOne products are purchased ONLY from authorized CertainPath distribution partners (HD Supply, Ferguson, Winsupply, Baker, R.E. Michel, and Wolseley). This allows you to double-dip the rebates too! For more information, contact Mark Mariucci at (800) 982-1840 or go to www.premieroneproducts.com.   Rheem. Founded in 1925, Rheem® innovates new ways to deliver precise temperatures while saving energy, water and supporting a more sustainable future.  Rheem is the only manufacturer in the world that produces heating, cooling, water heating, pool & spa heating and commercial refrigeration products.  For nearly a century, Rheem has been the industry leader, pioneering numerous industry firsts including smart features that meet the HVAC needs of homeowners and contractors with high-quality, sustainable, high-efficiency air conditioners, furnaces, and more.  That is why we design every new product with the Rheem 360°+1 philosophy of performance, installability, serviceability and integration.  We evaluate every detail from top to bottom, inside and out, and everything in between. We consider the work that goes into installing and servicing our products as well as how we can deliver the best homeowner experience...and then we take it further.  That's 360°+1. Go to www.rheem.com for more information. 

Let's analyze WSOP final table hands with over $400K on the line! Want to fast-track your tournament poker skills? Get in the Upswing Lab to get access to Aaron Barone's exclusive training content: https://upswingpoker.com/the-poker-lab-coaching/ Video Version of This Episode | Written Version of This Episode Event #12 $1,500 6-Max Payouts: 1st - $439K | 2nd - $293K | 3rd - $210K | 4th - $153K | 5th - $112K | 6th - $83K | 7th - 63KHAND #1 (7 players left 100K/200K blinds - 200K BB ante)Spasov raises to 400K from UTG w/ T♦ T♣. Dube folds K♦ Q♥ from UTG+1. Only Fan calls from BB with A♠ J♥.(Stack size notes: Spasov has 8M chips and is in 5th. Dube has 9M chips and is in 3rd. Fan has 11.5M chips and is in 2nd. There is a very short stack with 1.3M chips.)Flop J♣ T♠ 3♦. Fan checks. Spasov bets 350K. Fan calls.Turn 3♥. Fan leads for 500K. Spasov calls.River 2♦. Fan bets 850K. Spasov raises all-in for 4.45M. Fan calls.HAND #2 (5 players left 150K/300K blinds - 300K BB ante)Fan raises to 650K from the Button w/ A♣ 6♣. Spasov calls from the SB w/ 9♥ 8♥. Dube calls from the BB w/ 4♦ 2♦.(Stack size notes: Fan has 8M chips and is in 3rd. Spasov has 21M in chips and is in 2nd. Dube has 6M in chips and is in 4th. The shortest stack has 3M chips.Flop A♠ T♦ 5♠. Checks around.Turn J♦. Spasov bets 1.1M. Dube folds his straight+flush draw. Fan calls.River 8♣. Spasov bets 5.7M all-in (1.3x pot). Fan folds.Watch the full final table at https://www.pokergo.com/Subscribe to Upswing Poker on YouTube for Video Versions of These Episodes

Pat Flynn and Eric Siu share key insights for entrepreneurial success, emphasizing storytelling, overcoming comparison, and building community. They highlight the evolution of income reports and the importance of delegation in scaling businesses. Their wisdom extends to parenting as entrepreneurs, emphasizing patience and continuous learning.   Watch the full interview here: https://youtu.be/Fcq5V2D-euI   TIME-STAMPED SHOW NOTES: (00:00) Introduction and deep pocket monster (02:22) Card party events (03:49) The fallacy of view chasing (06:28) Creating a community experience (09:31) Growing the event and world records (13:04) The cost and value of events (21:35) The power of long-form content   Don't forget to help us grow by subscribing and liking on YouTube! Check out more of Eric's content (Leveling UP YT) and Neil's videos (Neil Patel YT)   Leave Some Feedback:   What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review.   Connect with Us:    Single Grain

Do you dream of hitting financial independence before the age of fifty, forty, or even thirty? In this episode, we're joined by two of the SheeksFreaks community's finest—a pair of scrappy entrepreneurs who decided to skip collegeand pursue a much faster path to financial freedom. First up, we chat with Adrian Zapata, a twenty-two-year-old serial entrepreneur who now owns multiple thriving seasonal businesses. During the spring, summer, and fall months, Adrian delivers lawn care and tree trimming servicesto the locals of San Antonio, Texas. But, once the holiday season rolls around, that's when the real cash cow takes over: a Christmas lights installation business that brings in a whopping $115,000 in only two months! Next, Javier Leyva shares how he was able to achieve financial independence by just twenty-six years old despite his underprivileged upbringing. After performing his own cost-benefit analysis, Javier determined that getting a traditional bachelor's degree wasn't the right path for him. Instead, he joined the workforce and took actionable steps toward FI—doubling down on saving money, finding a higher-paying job, and increasing his income with the house hacking strategy! In This Episode We Cover Two unique ways to achieve financial independence before the age of 30 How to boost your income with the house hacking strategy The HUGE revenue potential of building a seasonal business The case for SKIPPING college and choosing the straight path to FI Why you NEED to plug into a personal finance community (and stay accountable!) Why financial education—NOT a college degree—is the key to financial freedom And So Much More! Links from the Show BiggerPockets Money Facebook Group Network with Other Investors on The Path to FIRE Through the BiggerPockets Forums Finance Review Guest Onboarding Join BiggerPockets for FREE Mindy on BiggerPockets Scott on BiggerPockets Listen to All Your Favorite BiggerPockets Podcasts in One Place Apply to Be a Guest on The Money Show Podcast Talent Search! Money Moment Is College Worth the Cost? This 30,000 Variable Study Says “Sometimes…” Why 40% of Master's Degrees Aren't Worth It (and Which Are) w/Preston Cooper 20 Year-Old Minimum Wage Marine with $850K in Real Estate Building a $1 Million Net Worth in Only 3 Years by Investing in Real Estate Hear Our Last Episode with the SheeksFreaks Success Stories Join the SheeksFreaks Community Click here to check the full show notes: https://www.biggerpockets.com/blog/money-491   Interested in learning more about today's sponsors or becoming a BiggerPockets partner yourself? Email us: moneymoment@biggerpockets.com Learn more about your ad choices. Visit megaphone.fm/adchoices