Podcasts about Harbor

What if the reason your closest relationships feel stuck isn't about how much you care — but about how differently you and the people you love communicate? Today, I sit down with Jason VanRuler, therapist, Enneagram Two, and author of Discovering Your Communication Type: The 5 Paths to Deeper Connection and Stronger Relationships, as he introduces us to his P.A.T.H.S. framework — five communication styles he identified through years of working with couples navigating betrayal, teams in conflict, and individuals trying to understand why the same words land so differently depending on who's in the room. Those five types: the Peacemaker, the Advocate, the Thinker, the Harbor, and the Spark.  The nine Enneagram types map fascinatingly onto these five communication styles, and we walk through each type together. We talk about blind spots (every communication style has one), what happens to our style under stress and in conflict, and why the most generous thing you can do in any relationship is learn to speak your people's language rather than demanding they speak yours. Jason also shares honestly from his own marriage — he's a Harbor married to a Thinker — and what changed when he learned to stop reading his wife's precision questions as opposition and started hearing them as her version of love. Whether you're an Enneagram enthusiast, a couples therapist, a team leader, or just someone who's tired of feeling unseen in conversations, this episode is for you.  

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WSJM Afternoon News for 06-03-26See omnystudio.com/listener for privacy information.

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Have you ever known something was broken in a relationship but had no idea how to say what you actually needed to fix it? That's where so many of us get stuck. This week, Candace and communication coach Jason VanRuler move from understanding the PATHS types to putting them to work, starting with a listener question about a family conflict that has been festering for twenty years. Jason reframes the whole thing: the problem is rarely that people won't talk. It's that they don't know what they need in order to move forward. The conversation moves through how each communication type engages with conflict, from the Peacemaker who needs reassurance that the relationship will survive the hard conversation, to the Advocate who can throw the whole relationship away for the win, to the Thinker who arrives with a trolley of evidence, to the Harbor who creates so much space for feelings that the conflict never actually gets resolved, to the Spark who surprises everyone when the intensity finally breaks. Jason also addresses what to do when the other person simply is not willing, and how to tell the difference between what we want and what we actually need. Two more listener questions round out the episode: a mom whose first-grade son keeps getting excluded, and a teenage girl named Blythe navigating anxiety. Jason's answer to both comes back to the same thing. Confidence rooted in identity. When we know who we are and what we stand for, rejection still hurts, but it doesn't define us. And for the teenage girl spinning in worry? Noting the anxiety and then redirecting that energy somewhere useful turns out to be far more effective than overthinking it. Download the free Healthy Connection Guide at candace.com, where you can also submit questions for future episodes. For Jason's "Communicate to Connect" video guide, go to candacecbure.com/together Life is like a rollercoaster, but it's better when we go through it together! Connect with Candace and Jason  Candace on Instagram @candacecbure  Follow the Podcast on Instagram @candacecameronburepodcast  Follow the Podcast on TikTok @ccbpodcast Jason on IG: https://www.instagram.com/jason.vanruler/ Jason on Youtube https://www.youtube.com/c/Jasonvrcounselor Website: https://www.jasonvr.com/ Sponsors For This Episode PHD myphdweightloss.com and call #864-644-1900 and mention Candace.  Crowdhealth Go to JoinCrowdHealth.com and use code CANDACE GCU gcu.edu 316 Financial https://bank316.com/candace-cameron-bure IFCJ ifcj.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Join us as we celebrate the wit, wisdom, and faithful service of Pastor David Miller on his final Sunday at The Harbor after 11 years as our Community Care Pastor and 45 years in ministry. In this special conversation, Senior Pastor Jeff Maness sits down with David to reflect on the journey God has led him on, the lives he has touched, and the lessons he has learned along the way. You'll laugh, be encouraged, and gain insight from a pastor whose love for people and passion for Jesus have left a lasting impact on our church family. As we honor David's remarkable legacy, we also express our gratitude and send him into this next season with our love and prayers.Find us on:YouTube: YouTube.com/TheHarborInstagram: Instagram.com/TheHarbor_lifeFacebook: Facebook.com/TheHarbordotlifeWebsite: https://www.TheHarbor.lifeWatch/listen on The Harbor AppNew episode every week!

Speaker: Brad Holmes

Boater missing after craft found running in circles on the LDF reservation, federal funding to help with stabilization efforts at Saxon Harbor, siren enthusiasts gathering at camp north of Rhinelander

Bridget Burns of Buffalo Waterfront on summer concerts at the Outer Harbor full 218 Fri, 29 May 2026 07:28:00 +0000 rBdbsv51QkcRGNmx7IKEUM3whHTj6o1C news & politics,news WBEN Extras news & politics,news Bridget Burns of Buffalo Waterfront on summer concerts at the Outer Harbor Archive of various reports and news events 2024 © 2021 Audacy, Inc. News & Politics News https://player.amper

WBEN's Tom Puckett on Outer Harbor concert series kicking off Friday full 52 Fri, 29 May 2026 07:57:00 +0000 kboUp4FyZX8ScuU8KzkBry6YMiwEYUQJ news & politics,news WBEN Extras news & politics,news WBEN's Tom Puckett on Outer Harbor concert series kicking off Friday Archive of various reports and news events 2024 © 2021 Audacy, Inc. News & Politics News https://player.amperwavepo

A giant shark nicknamed Rosie sat abandoned inside an old wildlife park aquarium for years. People explored the creepy building, took photos beside her huge body, and shared stories online. But who was Rosie? Why was she left there? And how did an old shark become one of the internet's strangest abandoned mysteries?⁠⁠⁠⁠⁠Birthday Shout Out Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Use Code MKP for Harbor & Sprout⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Become a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patron⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Or a Subscriber on Spotify!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Have you ever been around someone who made you feel like your feelings actually mattered? Or tried for months to get through to someone you love, only to catch one brief moment where they let you in? That is exactly what this episode is about. Candace and Jason VanRuler are back to continue the PATHS series, and this week they go deep on the two communication types that might be the most misunderstood: Harbor and Spark. Jason opens up about being a Harbor himself — the feeler of the group, the one who makes space for everyone else's emotions and often forgets to need that space too. He shares the story of a therapist on a bus who had spent a career being a Harbor for others and had never once had one for herself. The loneliness in that is real, and so is the beauty of what a Harbor offers when it's healthy. They also talk about the wound that often shapes a Harbor: being a kid whose feelings just didn't get to matter. Then there's the Spark — the one who lights up a room, gets every conversation going, and sometimes vanishes the moment things get heavy. Candace and Jason talk about what it actually takes to reach a Spark in a real relationship, and Candace shares what her husband has taught her about patience, cigars on the patio, and the one-in-three conversations that open everything up. Two listener questions round out the episode: one about a three-year-old who worries too much, and one from a mom who feels like she's losing her twelve-year-old. Download the free Healthy Connection Guide and join the Together Community at candace.com. Sign up for email updates at candace.com. Life is like a rollercoaster, but it's better when we go through it together! Connect with Candace and Jason  Candace on Instagram @candacecbure  Follow the Podcast on Instagram @candacecameronburepodcast  Follow the Podcast on TikTok @ccbpodcast Jason on IG: https://www.instagram.com/jason.vanruler/ Jason on Youtube https://www.youtube.com/c/Jasonvrcounselor Website: https://www.jasonvr.com/ Sponsors For This Episode IFCJ ifcj.com  PHD myphdweightloss.com and call #864-644-1900 and mention Candace.  316 Financial https://bank316.com/candace-cameron-bure GCU gcu.edu Learn more about your ad choices. Visit megaphone.fm/adchoices

Hosted by David Cowen | Careers and the Business of Law Fresh off four days at McCormick Place in Chicago, David Cowen sits down with Oyango Snell, President & CEO of CLOC, for a post-CGI debrief. The energy on the floor was unmistakable: this is not the same industry it was twelve months ago. From Second City opening every morning to standing-room-only sessions on AI maturity, CGI 2026 signaled that the legal ops community has moved from anxiety to confident curiosity. WHY THIS MATTERS The legal industry is no longer asking if AI matters. It's asking how to measure it. With budgets flat and demand rising, legal ops professionals are being forced to get strategic. This conversation captures the mood of the market and where the next five years are headed. KEY TAKEAWAYS Attendees came with hands-on experience and real questions. Anxiety is out, confident curiosity is in. Legal ops has moved from chaos to at least ad hoc, if not operational, on the maturity arc. "Do more with less" is hogwash. Flat budgets plus rising demand requires strategy, not just effort. AI won't replace jobs. People who leverage AI will replace those who don't. A growing economy means more demand for legal services. The doomsday narrative doesn't hold up. Education is the new currency. CLOC Academy is hitting the road to reach those who can't make it to CGI. Legal ops sits at the intersection of law and technology. That's the superpower. Own it. CGI 2027 is back at the Aria in Las Vegas. Pro tip from David: Thank the speakers. Easiest networking move there is. Pro tip from Oyango: Own your professional stake. Relationships are built through follow-up, not just introductions. PEOPLE MENTIONED David Cowen, Host Oyango Snell, President & CEO, CLOC Kevin Clem, Harbor; co-author of the State of the Industry Report Zach Kass, CGI 2026 Keynote Speaker Mary O'Connell, Market leader, referenced Connie Brenton, Founder and CEO, LegalOps.com COMPANIES & ORGANIZATIONS MENTIONED CLOC, Corporate Legal Operations Consortium; host of CGI and legal ops community anchor Harbor, Co-produced the 2026 State of the Industry Report with CLOC Second City, Opened each day of CGI 2026 and set the tone for the conference Anthropic, Ivo, OpenAI, Among the vendors actively hiring legal tech talent SOLID, Legal career and education community; Solid New York on October 1st CLOC Academy, Educational arm of CLOC, now going on the road beyond CGI

Speaker: Ben Peters

Jeff Bliss reports on the "Disney Forward" expansion, which may include a third theme park. He notes that Harbor Boulevard faces intense traffic congestion despite Disney's advanced engineering efforts. (2/16)1908 LA

Mike Mulligan and David Haugh were joined by Chicago Sports Network analyst Clay Harbor to discuss a few free agents still available who could be fits for the Bears.

In the final hour, Mike Mulligan and David Haugh were joined by Chicago Sports Network analyst Clay Harbor to discuss a few free agents still available who could be fits for the Bears. After that, Harbor shared his excitement for how the Bears will use three-tight end sets in the 2026 season.

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

The Harbor Was Never Haunted — It Was Designed to Break YouBecome a supporter of this podcast: https://www.spreaker.com/podcast/dark-mysteries-the-strange-and-unusual-podcast-2026--5684156/support.Darkest Mysteries Online

Gov. Hochul opens new sprayground at Buffalo Harbor State Park full 1193 Thu, 21 May 2026 18:51:11 +0000 FwWrI2ogjM1Hx8vkO0cMYIqMZ4TXhtzG news & politics,news WBEN Extras news & politics,news Gov. Hochul opens new sprayground at Buffalo Harbor State Park Archive of various reports and news events 2024 © 2021 Audacy, Inc. News & Politics News https://player.amperwavepodcasti

Ryan Hogan is a Partner & CEO at Talent Harbor, a specialized core leadership search and fractional services firm catering to EOS-powered businesses. Talent Harbor has a unique methodology focusing on the particular needs of EOS-powered companies to provide tailored talent solutions that align with the company culture and growth goals. The Talent Harbor Methodology involves three essential phases: Assess, Search, and Integrate, ensuring a thorough evaluation of organizational dynamics, careful talent screening for cultural fit, and seamless integration processes. Prior to his work at Talent Harbor, Ryan Hogan co-founded Hunt A Killer, a renowned interactive murder mystery experience, recognized as one of the World's Most Innovative Companies by Fast Company and the fastest-growing CPG company by Inc Magazine. Ryan's diverse background includes service in the U.S. Navy as both an MH-53E aircrewman and Surface Warfare Officer, as well as founding ventures like WarWear and Run For Your Lives, showcasing strong entrepreneurial skills utilized in his current endeavors. He holds a Master of Arts in Defense and Strategic Studies from the U.S. Naval War College and a Bachelor of Science in Marketing & Management (Entrepreneurship) from the University of Maryland - Robert H. Smith School of Business. Ryan has been associated with various organizations, including being a Host at Confessions of an EOS Implementer, Founder of Creators Combine, Founder of Warwear, Co-Founder and CEO of Hunt A Killer, and more.   Connect with Ryan! https://www.linkedin.com/in/ryanehogan/ Wilson360 Peer Groups! https://wilson-360.com/peer-groups/

Ever feel like fear is defining whether or not you move forward? Whether it's your family, your health, your finances, or your future, God is calling you to move beyond the wilderness of the "known" and step into the "new." This week, we're diving into Joshua 1 to see how we can find the strength and courage to enter the new territory God has for us - even when we don't feel prepared or have all the answers.If you're new to Harbor or want to get connected in any way click this link to get your New Here gift, find upcoming events or get involved!https://harborchurch.com/connect

Speaker: Hannah Stevens

The Blue Stains at Blue Harbor Marked More Than Lost FishBecome a supporter of this podcast: https://www.spreaker.com/podcast/dark-mysteries-the-strange-and-unusual-podcast-2026--5684156/support.Darkest Mysteries Online

(May 13, 2026) A record number of people visited Olympic venues in New York over the last year, as the state is starting to plan for how to take care of the facilities for years to come; we head to Sackets Harbor, where the library serves as a community hub for nearby military families; and we talk with a Glens Falls High School student who won a state culinary competition and is now training for nationals.

Have you ever walked away from a conversation feeling like the other person heard something completely different from what you said? That gap between what we want and what really happens is where so many of our hardest moments show up — in our marriages, with our kids, with the people we love most. This week, Candace sits down with licensed therapist, coach, and author Jason VanRuler to start a six-week series on the five communication types he outlines in his book "Discovering Your Communication Type." Right from the start, this one feels less like a lecture and more like finally getting words for something you've always sensed about yourself. Jason introduces the PATHS framework: Peacemaker, Advocate, Thinker, Harbor, and Spark — and the conversation digs into the first type: the Peacemaker. If you've ever found yourself working overtime to keep everyone okay, managing the energy in a room without anyone even knowing, this episode is going to feel very familiar. Jason shares how our communication types are often rooted in what we needed most as kids, and how the gift we give others is usually the gift we once longed for ourselves. A listener question from Bethany about her husband's phone use leads to one of the most practical moments in the episode — including a line from Jason that could genuinely shift a marriage: "If it matters to you, it matters to me." Sign up for email updates, grab the free Healthy Connection Guide with Jason's communication type assessment, and learn how to buy Jason's course "Communicate to Connect" at candace.com. Connect with Candace and Jason  Candace on Instagram @candacecbure  Follow the Podcast on Instagram @candacecameronburepodcast  Follow the Podcast on TikTok @ccbpodcast Jason on IG: https://www.instagram.com/jason.vanruler/ Jason on Youtube https://www.youtube.com/c/Jasonvrcounselor Website: https://www.jasonvr.com/ Sponsors For This Episode NuEthix nuethix.com/candace IFCJ ifcj.com  PHD myphdweightloss.com and call #864-644-1900 and mention Candace.  316 Financial https://bank316.com/candace-cameron-bure GCU gcu.edu Learn more about your ad choices. Visit megaphone.fm/adchoices

In the final hour, Leila Rahimi and Marshall Harris were joined by Chicago Sports Network analyst Clay Harbor to share his observations from watching Bears rookie minicamp over the weekend. After that, the crew reacted to Bears offensive coordinator Press Taylor's comments about the center's responsibilities in his system.

True friendship is more than just showing up; it's about carrying one another through good times and bad. But how do we mirror that sacrificial love in a world that prioritizes "self"? Join us as Pastor Josh walks through a powerful biblical example of faith in action—showing us how to become the kind of friends who bring others to what they need, even if it's inconvenient.If you're new to Harbor or want to get connected in any way click this link to get your New Here gift, find upcoming events or get involved!https://harborchurch.com/connect

Speaker: Tanner Smith

The Gulls Were Only the Beginning of What Someone Was Doing to Our Harbor and It Didn't End When We Stopped ThemBecome a supporter of this podcast: https://www.spreaker.com/podcast/darkest-mysteries-online-the-strange-and-unusual-podcast-2026--5684156/support.Darkest Mysteries Online

In this soothing episode, "I Am Safe in My Tranquil Harbor," you are invited to embrace the peace and safety that resides within you. Allow the gentle wave of calming affirmations to wash over your mind, easing your stress and preparing you for a deep, restful sleep. This serene journey to your inner harbor will remind you that you are protected, cherished, and always anchored in tranquility. Let go of your worries and settle into the calmness that surrounds you. Close your eyes, press play, and let go.

In this special Wednesday episode of Quick Book Reviews, Philippa chats to bestselling author Laurie Gilmore, creator of the hugely popular Dream Harbor series, which has sold over 4 million copies.Laurie joins the podcast to discuss her latest book, The Daisy Chain Flower Shop, as well as the magic of cosy small-town romance, why readers have fallen so hard for Dream Harbor, and how comfort reads can help us through difficult times.In this episodeLaurie Gilmore on The Daisy Chain Flower ShopThe story behind the Dream Harbor seriesWhy cosy small-town romance is having such a huge momentWriting books that feel like a hugWhy each Dream Harbor book can be read as a standaloneChristmas romance, seasonal settings and reader comfortSprayed edges, special editions and bookish merchThe pressure of following a much-loved bestselling seriesWhat's coming next with Big Bad WolfLaurie's dream and nightmare writing locationsAbout The Daisy Chain Flower ShopThe Daisy Chain Flower Shop follows Daisy, who runs the flower shop, and Elliot, a shy architect who has somehow stayed under Dream Harbor's radar.Both are nursing heartbreak and neither is looking for love — until a fake dating arrangement begins and, naturally, chaos, chemistry and cosy romance follow.Expect:fake datingsmall-town charmemotional warmthseasonal Dream Harbor vibesfamiliar faces from previous booksBooks mentionedThe Daisy Chain Flower Shop – Laurie GilmoreThe Pumpkin Spice Café – Laurie GilmoreThe Gingerbread Bakery – Laurie GilmoreBig Bad Wolf – Laurie GilmoreFor the Wolf – Hannah WhittenFor the Throne – Hannah WhittenPerfect for listeners who lovecosy romancesmall-town settingsfake datingseasonal readscomfort booksChristmas romancebook series you can dip into at any pointBiscuit verdictLaurie chooses a soft, chewy chocolate chip cookie — with sensible dunking rules. Soft cookies should not be dunked. Harder biscuits may proceed with caution.Coming nextPhilippa will be back on Friday with more bookish chat, author interviews and spoiler-free reviews.Follow Quick Book Reviews for book recommendations, author interviews, and weekly podcast episodes.

If you want more workflows and tactics to build a business with AI, check out this free workshop: https://www.ideabrowser.com/workshop I sit down with Andrew Wilkinson and we go deep on how he's restructured his work, his health, and his family office around AI agents. Andrew walks me through Deep Personality (an app he vibe-coded after running psychological screens on himself and his girlfriend), the autonomous SaaS business he runs through agent harnesses like Harbor, and the vector-database setup that lets him query Tiny and his personal holding company like an oracle. We cover where software is headed, why he's pouring capital into TSMC and data center stocks, and the daily AI workflows he's built around health, email triage, and a personalized morning podcast. Listeners walk away with concrete prompting tactics, agent architectures, and a frank read on where the moats are moving. Timestamps: 00:00 – Intro 01:50 – The OpenClaw Unlock 04:53 – Demo: Deep Personality App 10:38 – Harbor: An Agent Harness For Real Companies 12:30 – Autonomous Companies: Hype Vs. Reality 17:30 – Credibility As The Missing Layer For Vibe-Coded Products 20:14 – Centralizing Data Pipelines 21:35 – Vector Databases 23:22 – Transitioning Companies to Agentic Companies 25:22 – Where Andrew Would Build Today 27:10 – The New Interface 28:21 – Why build now 30:59 – Replacing Adapar: A Networth Wealth Platform 33:29 – Services As The New Software 35:46 – G-Brain Explained and Andrew's OpenClaws 45:31 – Closing Thoughts Key Points Andrew runs a SaaS business called Deep Personality almost entirely through agents, generating roughly $20K of revenue while debugging eats half his time. Harbor (github.com/geekforbrains/Harbor) gives agents a GUI-style harness — dev, marketing, and support agents that can autonomously merge PRs and adjust ad budgets across PostHog, Meta, and Reddit. Andrew's family office swapped headcount for a $40K/month Claude bill; his CFO, who had zero coding background, vibe-coded a replacement for Adapar (priced at $50K–$100K/year) in about two weeks. Vector databases trained on Tiny and Andrew's holding company let him query 132 minority investments, P&Ls, and headcount data conversationally. For builders today, Andrew suggests aiming for a $1M–$2M product, then parking gains in TSMC and data center exposure given how fast software moats are eroding. His best prompting tip: ask the model to interview you with multiple-choice questions before generating any output. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND ANDREW ON SOCIAL X/Twitter: https://x.com/awilkinson Deep Personality: https://deeppersonality.app Tiny: https://www.tiny.com

If boundaries aren't defined, dysfunction will define them for you. In this week's message from the Family Matters sermon series, Scripture reframes boundaries as far more than self-protection. Boundaries are a way of honoring God and putting what He has for you ahead of what others want from you, with the clarity and courage to name it, set it, and live it.If you're new to Harbor or want to get connected in any way click this link to get your New Here gift, find upcoming events or get involved!https://harborchurch.com/connect

Summer travel at Sky Harbor, we talked to the comms admin at Sky Harbor about it. 

Season 7, Episode 1: Season 7 of the No Cap Podcast kicks off with a masterclass in global real estate investment and management. Jack and Alex sit down with Richard Litton, President of Harbor Group International, to explore how the firm scaled from a $1 billion management-focused company to a $21 billion powerhouse. Richard breaks down the creative evolution of Harbor's strategy, detailing how they pivoted from secondary office markets to becoming the world's most active Freddie Mac buyers. From navigating the current wave of CRE debt maturities to exploring opportunistic plays in markets like Detroit and Cleveland, learn how these experts deploy capital at scale in a reset market. Whether you're looking at workforce housing or the resilience of Manhattan office credit, this episode is a must-listen for understanding today's complex financing environment. Join us as we dive into the power of vertical integration and strategic risk-reward underwriting in the new era of real estate. Shoutout to our sponsor, Henry AI. The fast track to investor-ready decks that actually stand out. TOPICS 00:00 – Introduction 01:54 – From Corporate Law to Building a $21B Powerhouse 07:15 – Exiting Secondary Office Markets Before the GFC 10:55 – Launching the Credit Platform and Partnering with Freddie Mac 14:15 – Assessing Risk in a Saturated Private Credit Market 18:27 – Workforce Housing vs. Class A: Finding Value in Market Resets 23:14 – Navigating Sunbelt Supply and the Realities of Negative Leverage 28:37 – Manhattan Resilience and D.C. Credit Plays 34:58 – Betting on Detroit, Cleveland, and Norfolk 40:59 – Sourcing Deals in a Reset Environment For more episodes of No Cap by CRE Daily visit https://www.credaily.com/podcast/ Watch this episode on YouTube: https://www.youtube.com/@NoCapCREDaily About No Cap Podcast Commercial real estate is a $20 trillion industry and a force that shapes America's economic fabric and culture. No Cap by CRE Daily is the commercial real estate podcast that gives you an unfiltered ”No Cap” look into the industry's biggest trends and the money game behind them. Each week co-hosts Jack Stone and Alex Gornik break down the latest headlines with some of the most influential and entertaining figures in commercial real estate. About CRE Daily  CRE Daily is a digital media company covering the business of commercial real estate. Our mission is to empower professionals with the knowledge they need to make smarter decisions and do more business. We do this through our flagship newsletter (CRE Daily) which is read by 65,000+ investors, developers, brokers, and business leaders across the country. Our smart brevity format combined with need-to-know trends has made us one of the fastest growing media brands in commercial real estate.

You have already tried the conversations. You have tried slowing down, choosing better words, waiting for the right moment. And still something derails it — the same wall, the same disconnect, the same feeling that you are speaking into air. What you have probably not tried is understanding why you communicate the way you do, and more importantly, where that pattern came from. Jason VanRuler is a licensed psychotherapist, author, and nationally recognized speaker whose new book, Discovering Your Communication Type, names a truth that changes everything: your communication style was not chosen — it was formed, shaped by the environment you needed to survive as a child. In this conversation, Jason introduces the PATHS model (Peacemaker, Advocate, Thinker, Harbor, Spark), but the framework is only the surface. Beneath it is something more confronting: most heated arguments are not about words. They are about wounds. And the same survival instincts that protected you then are likely the ones sabotaging your closest relationships now. What does it cost a relationship when secrets corrode it slowly, the way carbon monoxide fills a room — undetectable until real damage is done? What happens when you lead with your explanation instead of your apology, and why does that single inversion invalidate everything that follows? If you have been in survival mode so long that dysregulation feels like Tuesday morning, this conversation names the path out — and the grief that comes with it. The question Jason puts to you, whether he says it directly or not, is this: do you actually want connection, or do you want validation for remaining exactly as you are? Only one of those is available here. Guest Bio Jason VanRuler is a licensed psychotherapist, author, and nationally recognized speaker based in Sioux Falls, South Dakota, specializing in communication, attachment, and relationships. He is the author of Discovering Your Communication Type: The 5 Paths to Deeper Connections and Stronger Relationships and founder of a thriving private practice. Jason leads retreats, workshops, and intensives for couples and organizations, and hosts his own podcast, Ok, What's Next? He lives with his wife and three children. Show Partner SafeSleeve designs a phone case that blocks up to 99% of harmful EMF radiation—so I'm not carrying that kind of exposure next to my body all day. It's sleek, durable, and most importantly, lab-tested by third parties. The results aren't hidden—they're published right on their site. And that matters because many so-called EMF blockers on the market either don't work or can't prove they do. We protect our hearts and minds—why wouldn't we protect our bodies too? Head to safesleevecases.com and use the code WINTODAY10 for 10% off your order. Episode Links Show Notes Buy my book "Healing What You Can't Erase" here! Invite me to speak at your church or event. Connect with me @WINTODAYChris on Instagram, Facebook, Twitter, and YouTube.

A real river in the Amazon is hot enough to boil… with no volcano nearby. The Shanay-Timpishka has stunned scientists, but local communities have respected it for generations. Is it geothermal energy or something we still don't fully understand?⁠⁠⁠⁠⁠⁠Birthday Shout Out Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Use Code MKP for Harbor & Sprout⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Become a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patron⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Or a Subscriber on Spotify!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Have you ever had a conversation with a loved one go in a completely different direction than what you saw coming? Your intention was there, but the way your loved one received it was nothing in the way you intended it?  Our good friend, Jason VanRuler, started to see this pattern in many of the people he had come into therapy. Conversations between people -- where everything was at stake -- and the intentions were there, but someone inevitably walked away feeling hurt, unseen, or even abandoning the relationship altogether. What one person meant isn't what the other person heard. So Jason asked himself, “Why does it sometimes land well, and other times not?”The more research he did, the more he learned predictable patterns that led to 5 primary communication types: Peace, Advocate, Thinking, Harbor, and Spark. Each one with a strength and each one with an opportunity. Not only that, each person has their own primary and secondary type. In this episode, Jason unveils each type, how we develop our own, and how we can better understand how our spouse, kids, and loved ones communicate with us. We get into marital dynamics and why we usually marry someone with similar secondary type, but the trouble that can arise when we realize we don't have the same primary one. We also talk about how knowing the types can help us communicate at a deeper level with our kids. Time Stamps: 0:00 Introduction 1:18 Jason VanRuler joins the show!4:34 Why these communication types matters 6:00 Jason introduces the 5 PATHS of communication11:16 Where our personal communication style comes from 14:05 Strengths and weaknesses of each communication type 20:20 The communication types in our children and how we give what we didn't get25:05 How different communication types serve us in marriage Show Notes: Get Jason's new book Discovering Your Communication Type: The 5 Paths to Deeper Connections and Stronger Relationships: https://amzn.to/4sZzbwc Check out Jason's website: www.jasonvr.comReserve your seat for Tender & Fierce Fall Cohort beginning August 17, 2026: https://www.famousathome.com/offers/V75F6bY2Looking for a marriage intensive with Famous at Home? Apply now.  https://www.famousathome.com/coaching Men, sign up for the Living Legacy Cohort:https://www.famousathome.com/menscoaching Sign up for our email list and Famous at Home Starter Bundle: https://www.famousathome.com/newsletter Download NONAH's single Find My Way Home by clicking here: https://bellpartners.ffm.to/findmywayhome

From buying in thirds instead of waiting for dips, to a dishwasher hack that still requires the humans to remember the hack, to one listener's beautifully rebalanced “harbor-and-horizon” portfolio, this month's mailbag is as motley as ever. Along the way, David cleans up a long-used reference to Heisenberg vs. Hawthorne, hears how Magical Athlete has become a family hit, and considers a pair of listener suggestions that may permanently improve the Market Cap Game Show. Companies Mentioned: ADBE, DUOL, HUBS, INTU, ISRG, MELI, NBIS, NVDA, RKLB, TSMHost: David GardnerProducer: Bart Shannon Learn more about your ad choices. Visit megaphone.fm/adchoices

Mike Mulligan and David Haugh were joined by Chicago Sports Network analyst Clay Harbor to break down the Bears' seven-player draft class.

In the third hour, Mike Mulligan and David Haugh were joined by Chicago Sports Network analyst Clay Harbor to break down the Bears' seven-player draft class. Later, Mully and Haugh discussed the Rams' selection of Alabama quarterback Ty Simpson at No. 13 overall in the first round of the NFL Draft.

Pluto is a veteran of DeFi and cross chain systems, with prior stints at Thorchain and Airswap, now building Harbor, a native asset DEX. In this episode, we talk about the KelpDAO exploit and how DeFi can regain people's trust. Nic sits down with him to discuss: What exactly happened with the KelpDAO/ Aave hack? Will new AI models make hackers more proficient? Is advanced AI a defensive or offensive technology for smart contracts? Why protocol exposures are often not on chain Why DeFi might want to segregate execution from settlement Is it possible to have instant settlement and proactive monitoring Do we have anything to learn from DeFi What could Aave have done different? Where did LayerZero go wrong? Can DeFi work if there are occasional freezes and seizures? Pluto's reflections on Thorchain What Thorchain did right Arbitrum's questionable precedent What Pluto is building with Harbor Where does DeFi go from here? Learn more about Harbor and follow Pluto on X

Dr. Maryal Concepcion welcomes Dr. Jihan Ansari, founder of Harbor Direct Primary Care in South Orange County, California. Dr. Ansari shares the marketing strategies that grew her DPC practice from patient zero to a thriving two-physician clinic she runs with her husband, Dr. Pedram Ansari. From cold-calling former co-resident Dr. Jose Buenostro to learn about DPC, to filming a TikTok before jury duty that unexpectedly went viral, Dr. Ansari's story is a real-world playbook for direct primary care physicians who want to market authentically without expensive ads or pushy sales tactics.What You'll LearnHow a single TikTok with the tagline "I'm the doctor who doesn't take insurance" went viralWhy the "I'm the doctor that..." hook captures attention on social mediaHow she built a virtual waitlist of 10 to 11 patients before opening day using Facebook groupsWhy TikTok rewards organic content and how she uses it to educate patients about DPCHow to evaluate and hire a marketing team that genuinely understands DPCWhy she stopped Facebook and Instagram ads and doubled down on Google ads and SEOHow transparent cash pricing on her website attracts patients seeking alternatives to insuranceWhich community marketing efforts didn't pay off and why she walked awayHow a virtual assistant helped scale onboarding without losing the personal touchWorking together as a physician couple in one DPC practiceServing small employer groups in Orange CountyBoundaries, parenting, and sustainability as a DPC physicianAbout Dr. Jihan AnsariDr. Jihan Ansari is a board-certified family medicine physician and co-founder of Harbor Direct Primary Care in South Orange County, California. She completed her residency at UCSF Fresno alongside Dr. Jose Buenostro. Born in Southern California and educated on the East Coast, she practiced briefly in Canada before returning to launch Harbor DPC with her husband, Dr. Pedram Ansari. She is passionate about lifestyle medicine, root-cause care, and accessible primary care.Connect with Dr. Jihan AnsariVisit Learn more about VIVID VAULT HEALTH SOLUTIONS TODAY! Find a My DPC Story Event near you! State Summits in CA, IL, a My DPC Story LIVE event and the DPC Women's Summit are all coming! Learn more at mydpcstory.com/upcoming-events! The DPC Directory: If you're a DPC doctor, you'll find resources to grow your practice! If you serve the DPC world, grab a FREE listing today and get discovered by doctors who need your services.

Leila Rahimi, Marshall Harris and Mark Grote were joined by Chicago Sports Network analyst Clay Harbor to react to the Bears selecting Oregon safety Dillon Thieneman at No. 25 overall in the first round of the NFL Draft on Thursday evening.

Leila Rahimi, Marshall Harris and Mark Grote were joined by Chicago Sports Network analyst Clay Harbor to react to the Bears selecting Oregon safety Dillon Thieneman at No. 25 overall in the first round of the NFL Draft on Thursday evening.

In the second hour, Leila Rahimi, Marshall Harris and Mark Grote were joined by Chicago Sports Network analyst Clay Harbor to react to the Bears selecting Oregon safety Dillon Thieneman at No. 25 overall in the first round of the NFL Draft on Thursday evening.

In the final hour, Mike Mulligan and David Haugh were joined by Chicago Sports Network analyst Clay Harbor to break down the Bears' options at No. 25 overall in the first round of the NFL Draft.

Mike Mulligan and David Haugh were joined live in studio with CHSN Football analyst, Clay Harbor on his draft breakdown for the Chicago Bears