Podcasts about Huddle

Barrett Brooks and Mike Mulhern go in depth on some of the biggest questions facing the Eagles this offseason.

[@ 4 min] Alright, this week…John Holiday goes Inside the Huddle! The American countertenor and 'The Voice' finalist is wrapping up a banner 25-26 season at the Munich Opera Festival. Next month, his solo album, 'Over My Head,' with pianist Kevin Miller, drops on the Pentatone label! John joins us from Munich where he co-stars with Jeanine De Bique and Julian Pregardien in Handel's 'Alcina. ' [@ 43 min] Creatine Price is making herstory in France…and John Eliot Gardner comes out as a dendrophobe. GET YOUR VOICE HEARD Stream new episodes every Saturday at 10 AM CT on amplisoundsradio.com operaboxscore.com facebook.com/obschi1 operaboxscore.bsky.social

Inside the Huddle with Michael SpathSee omnystudio.com/listener for privacy information.

The Huddle by SBV - Ceri Mobley, The Team

"Hoe val ik op?" Dat is eigenlijk de vraag achter veel zakelijke vragen die ik op mijn vragensticker kreeg. Niet vanuit ego - maar omdat je wil dat de juiste klanten jou kunnen vinden.In deze nieuwe aflevering breng ik marketing terug naar de basis: goed zijn in wat je doet, dat laten zien, op de juiste plek, op een manier die resoneert. Simpel. Maar simpel is niet hetzelfde als makkelijk.Ik deel ook wat er vaak misgaat (hallo, zelfsabotage), een offline marketingvoorbeeld uit Santa Teresa dat me weer liet zien hoe onderschat offline is, en waarom long form content het hart van mijn marketingmachine is.Wil je samen met mij aan de slag? Benieuwd naar mijn mentoring en online leermiddelen voor creatieve ondernemers? Bekijk hier mijn site. Of ga aan de slag met de freebies hieronder. FreebiesGratis mini training over starten met Print on DemandChallenge: vergroot jouw expert status in 5 stappen Bekijk mijn leeslijst met favoriete boekenMijn favoriete tools voor het leiden van een online businessPlug & Pay: checkout software voor digitale producten Host jouw online training op Huddle, of PodiaBouw je website met Showit of Squarespace

2026 06 21 Rod Woods - Hidden Huddle by City Temple

00:00:00 – Top 10 Eagles Most Likely to Make Their First Pro Bowl 00:03:21 – #1: Jordan Davis 00:06:03 – #2: Jordan Mailata 00:08:43 – #3: DeVonta Smith 00:11:47 – #4: Dallas Goedert 00:16:29 – #5: Bryce Huff 00:19:54 – #6: Nolan Smith 00:23:31 – #7: Nakobe Dean 00:26:04 – #8: Safety Position 00:29:53 – #9: Tyler Steen

Howie, Chief, Browny, and Damo kick things off with their favourite headlines of the week, including Freo continuing to roll, a swearing epidemic in sport, the New York Knicks Championship parade, and Howie's idea to make the World Cup broadcast even bigger. Chief and Damo have issues with Howie and Browny's behaviour during meetings, then Chief has two more movie monologues - sadly no accents this time. The boys speak to International Arm Wrestling commentator Jake Ward as a rematch between Howie and Browny is on the cards, then Campbell Brown calls in from Seattle as the Socceroos prepare to play the USA tomorrow morning. The Aussies are bouncing back against Bangladesh but Chief isn't impressed, then Olympic silver medallist Scott Miller is in studio to talk about a new documentary detailing his rise, fall, and comeback efforts after time in prison. Chief has a World Cup themed quiz, the boys look at the big game between the Suns and Hawks tonight, before turning attention to some media wars brewing both here and abroad. Tasmania Devils CEO Brendon Gale is in studio to update everyone on their progress towards joining the AFL, Browny has the Top 5 drought-breaking championships, and Chief receives a text message that has everyone a touch concerned.See omnystudio.com/listener for privacy information.

[@ 3 min] Alright, this week…Early music specialist Jory Vinikour goes Inside the Huddle! The conductor and harpsichordist returns to his native Chicago to lead a production of a pretty gay tragedy…no, not Oliver's mid-life bachelorhood, but Charpentier's "David and Jonathan" for Haymarket Opera! [@ 35 min] Then, in the Two Minute Drill…Audiences at La Scala are protesting ticket prices, an ousted music director is threatening to sue La Fenice, Washington National Opera is suing the Kennedy Center…but hey, at least we got a win this week in the form of one less president being named on **that** building... GET YOUR VOICE HEARD Stream new episodes every Saturday at 10 AM CT on amplisoundsradio.com operaboxscore.com facebook.com/obschi1 operaboxscore.bsky.social

Inside the Huddle with Michael SpathSee omnystudio.com/listener for privacy information.

The Huddle by SBV - Ashely VanOchten, USA Pickleball

After some questionable financial advice from Browny to start the show, the boys whip around their top news headlines, including Jordan Dawson turning into Superman, canned tuna in the workplace, Australian cricket's spiral, and the horrid racism being spewed at AFL players on social media. Howie has enlisted the help of Claude A.I. to review the first 13 weeks of our season, then Chief reenacts more monologues from some classic movies. Howie and Chief have a new podcast together, and Brad Blanks calls in from New York to recap the Knicks' incredible comeback win in game 4 of the NBA Finals. Our superstar producer Herbie has more tales from her dating life, Howie's propensity for wearing thongs has caught the ire of a very big personality, and Chief has a quiz about idioms and proverbs that really puts the boys to the test. Browny got to ride in Damo's muscle car, and Santo Cilauro joins the show to preview the FIFA World Cup. The boys talk about Adelaide's form resurgence, then Damo has been involved in another media war, as has Sam McClure and Alister Nicholson. Then, there's been an update on Fake Seizure guy. The boys recap Howie going down the Freeze MND slide - but the bigger questions is... where did those guns come from? Browny gets into the World Cup with his top 5 favourite soccer chants, then the boys whip around the AFL with the latest news. See omnystudio.com/listener for privacy information.

On the Heather du Plessis-Allan Drive Full Show Podcast with Andrew Dickens for Thursday, 11 June, 2026, Transport Minister Chris Bishop sets the record straight on plans for Budget funding earmarked for a rainy day and takes a swipe at Labour's public transport policy. We speak to the founder of a business offering ADHD assessments over Zoom, cutting wait times from months to weeks. The Prime Minister says we will not be spending $5 billion on overseas carbon credits, so what other options do we have? Climate change law expert Professor Barry Barton talks us through it.. And on The Huddle, Oscar Kightley and Tim Wilson debate what we can do get people to stop smoking illegal cigarettes. Get the Heather du Plessis-Allan Drive Full Show Podcast every weekday evening on iHeartRadio, or wherever you get your podcasts. LISTEN ABOVESee omnystudio.com/listener for privacy information.

Tonight on The Huddle, artist and local Government politician Oscar Kightley and Tim Wilson from the Maxim Institute joined in on a discussion about the following issues of the day - and more! ADHD Simple is utilising technology and AI to get ADHD assessments done more quickly and at less cost than from traditional clinics. Do we trust this development? National has criticised Labour's numbers following the release of their new public transport proposal. What do we make of this? What's more important, cheaper fares or more services? New data shows more Kiwis are consuming illegal tobacco, resulting in a lower tax take. What can we do to stop people from smoking illegal cigarettes? LISTEN ABOVESee omnystudio.com/listener for privacy information.

Inside the Huddle with Michael Spath See omnystudio.com/listener for privacy information.

Tonight on The Huddle, Jordan Williams from the Taxpayers' Union and Jack Tame from ZB's Saturday Mornings and Q&A joined in on a discussion about the following issues of the day - and more! Do we think Labour's proposed public transport fare cap will get votes? How much of the country will this policy really help? And why wasn't Labour at Fieldays? Are we surprised Stewart Island is still fully reliant on diesel? Should we get rid of Crown limos for former Prime Ministers when they're hardly using them? What do we make of this? LISTEN ABOVESee omnystudio.com/listener for privacy information.

On the Heather du Plessis-Allan Drive Full Show Podcast with Andrew Dickens for Wednesday, 10 June, 2026, Labour Transport spokesman Tangi Utikere insists the party's got its numbers right with a plan to cap how much public transport users pay each week. We talk to Remuneration Authority chair Geoff Summers on more than $300,000 being spent for former prime ministers to use Crown cars they barely call. Stewart Island Rakiura Community Board chair Aaron Conner on why they can't wait for a solar farm to get up and running. And on The Huddle, Jack Tame and Jordan Williams question why Labour's made its policy announcement in Auckland but is absent from Fieldays. Get the Heather du Plessis-Allan Drive Full Show Podcast every weekday evening on iHeartRadio, or wherever you get your podcasts. LISTEN ABOVESee omnystudio.com/listener for privacy information.

On the Heather du Plessis-Allan Drive Full Show Podcast with Andrew Dickens for Tuesday, 9 June, 2026, we ask Energy Minister Simeon Brown who'll pay for a billion-dollar liquefied natural gas import terminal now he's dropping the levy. We talk to Independent Children's Monitor chief executive Arran Jones about how Oranga Tamariki is letting down Maori children. Jetstar chief executive Stephanie Tully celebrates 17 years in New Zealand skies with a promise they'll keep flying more routes. And on The Huddle, Brigitte Morten and Gareth Hughes on whether they've cut their alcohol consumption - like many New Zealanders. Get the Heather du Plessis-Allan Drive Full Show Podcast every weekday evening on iHeartRadio, or wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Tonight on The Huddle, Brigitte Morton from Franks Ogilvie and former Green MP Gareth Hughes joined in on a discussion about the following issues of the day - and more! Apple has announced a significant overhaul of Siri, as well as a suite of changes to its trust and safety features designed to keep users safe - will this motivate us to buy new iPhones? The Government is moving forward with their new LNG facility, and they've scrapped the proposed power levy to fund it. Do we see this working out well for us? Will we be funding this anyway? Should Rakesh Naidoo have told his bosses earlier about joining up with Labour? What do we make of this? New data shows alcohol sales are down - are we part of this decline? LISTEN ABOVESee omnystudio.com/listener for privacy information.

Our girl Taylor Tannebaum joins the show to officially kick off our summer guest series! TT is the host of ACC Network's The Huddle in addition to her many other ESPN hosting roles. She is one of the most knowledgeable ACC football analysts out there & gives us her way-too-early thoughts on the league and which two teams will be playing in Charlotte in December! Presented by Ingles Markets. Sponsored by Rhoback, use code GM2026 for 20% off. Produced by Richmond Weaver

The Huddle by SBV - Joe Bohringer and Ben Baroody

Tonight on The Huddle, Auckland Councillor Maurice Williamson and Child Fund CEO Josie Pagani joined in on a discussion about the following issues of the day - and more! There's no policy out of Labour just yet, but the party's unveiled their list. What did we make of it? Who stood out? Should Rakesh Naidoo have been allowed to stand? New data shows Kiwi renters are better off than they were a year ago. Is this news encouraging? Do we need to outlaw run it straight? LISTEN ABOVESee omnystudio.com/listener for privacy information.

On the Heather du Plessis-Allan Drive Full Show Podcast with Andrew Dickens for Monday, 8 June, 2026, Labour leader Chris Hipkins defends the process followed by police Superintendent Rakesh Naidoo before being named on the party's list. Otago University zoology teaching fellow Hanna Ravn tells us what to do if confronted by a sea lion. We talk to the most talkative MP in Parliament - the Greens' Lawrence Xu-Nan. And on The Huddle, Maurice Williamson and Josie Pagani give us their take on Labour's list - one of them says it's top-heavy with activists. Get the Heather du Plessis-Allan Drive Full Show Podcast every weekday evening on iHeartRadio, or wherever you get your podcasts. LISTEN ABOVESee omnystudio.com/listener for privacy information.

Howie starts the show with an insight into what it's like calling a game with the great Dwayne Russell, before launching into a chat about the Crows win over the Cats, Howie being nominated for the Freeze MND Slide, and Donald Trump's latest insane Truth Social rant. Howie provides an update on how his night out with his wife went last week, and Chief has two more classic movie monologues - one with a very thick accent! Chief gets serious with his slaughterhouse, as the NDIS cuts hit very close to home, before Karl Stefanovic joins us with more information on that story, as well as what's happening with his podcast and radio show. Browny is about to start a war with his local council, Chief has a spelling bee quiz, the boys share which athlete they'd love to see live, and Aaron Finch calls in to chat about the proposed merger between the Melbourne Renegades and Melbourne Stars. Damo takes a look at the current assistant coaches vying for a senior gig, before Browny gets into a very awkward media war - and needs saving by Damo. Andy Lee calls in to talk about his very elaborate outfit for the Freeze MND slide, and his even more elaborate home renovation. Browny's Top 5 is all about the dollars, as he proposes some potential commercial arrangements for current AFL players, then Damo looks at Damian Hardwick's strong stance on contracted Suns, plus issues for Brisbane and Collingwood, and how Sean Darcy could fit into Fremantle's side.See omnystudio.com/listener for privacy information.

Beautiful day for a beautiful podcast.See omnystudio.com/listener for privacy information.

Live Show Tuesday and Thursday, 3pm est.SOCIALS: https://linktr.ee/drewberquistWEBSITE: https://AirItOutBro.com #DrewBerquist #Balls&Banter #BallsShow Notes/Links:Knicks take care of business in game 1 vs. the Spurshttps://x.com/AdamSchefter/status/2062373738566320174?s=20Vegas Knights impress in game 1 win vs Hurricaneshttps://x.com/GoldenKnights/status/2062006106155524209?s=20Know where else the Knights are winning? Social Media with this posthttps://x.com/GoldenKnights/status/2061464522682925157?s=20With Rasmus Andersson reaching the Stanley Cup Final, a former teammate of Jaromir Jagr has now appeared in the Final in 46 straight seasonshttps://x.com/GinoHard_/status/2062257455661506819?s=20Caleb Williams is this year's cover guy for Madden 27https://x.com/ChicagoBears/status/2062149823537545468?s=20Rapper Boosie goes OFF on Bears QB Caleb Williams for painting his nails on the Madden 27 coverhttps://x.com/NFL_DovKleiman/status/2062316786683441603?s=20LSU, Lane Kiffin holding The Huddle a women's clinichttps://x.com/LSUfootball/status/2061570942980005932?s=20Nascar this weekendhttps://x.com/NASCAR/status/2062256277846167567?s=20DISCLAIMER: Some elements of this podcast may include AI-generated content, such as cover thumbnail images, show descriptions and some background audio. Hosted on Acast. See acast.com/privacy for more information.

[@ 2 min] Alright, this week…tenor and author Ben Bliss goes Inside the Huddle to share his financial survival guide for singers and other freelancers in the performing arts. It's all in his new book, 'Making it Work,' coming to a TedTalk near you! [@ 35 min] Then, in Listener Mailbag...it's a Field Report on Orfeo from Ars Lyrica Houston, starring friend of the show Karim Sulayman! [@ 42 min] Plus, in the Two Minute Drill...let me see here…it says here that…Donald Trump…did something…illegal??? *gasp* With the Kennedy Center??? WHAT??? That can't be…no…yes??? Oh my god??? GET YOUR VOICE HEARD Stream new episodes every Saturday at 10 AM CT on amplisoundsradio.com operaboxscore.com facebook.com/obschi1 operaboxscore.bsky.social

On the Heather du Plessis-Allan Drive Full Show Podcast with Andrew Dickens for Thursday, 4 June, 2026, Speaker of the House Gerry Brownlee is bemused by a ban on four MPs from entering China for a year because they visited Taiwan. A former police detective tells us about Spark's new way to detect spammers on your phone. We hear about plans to almost double the size of the Remarkables skifield in Queenstown. And on The Huddle, Oscar Kightley and David Farrar on how our voice of rugby is changing. Get the Heather du Plessis-Allan Drive Full Show Podcast every weekday evening on iHeartRadio, or wherever you get your podcasts. LISTEN ABOVE See omnystudio.com/listener for privacy information.

Inside the Huddle with Michael SpathSee omnystudio.com/listener for privacy information.

On the Heather du Plessis-Allan Drive Full Show Podcast with Andrew Dickens for Wednesday, 3 June, 2026, Wellington mayor Andrew Little says he agrees with amalgamation but thinks the government's set an unfair timeframe. We talk to the Hospitality NZ chief executive about a dramatic rise in closures in the industry. Football commentator Jason Pine now fears for what England will do to the All Whites after a humiliating loss to Haiti. And on The Huddle, Jack Tame and Maurice Williamson debate whether the Te Huia train trip between Auckland and Hamilton is worth it after a fares increase. Get the Heather du Plessis-Allan Drive Full Show Podcast every weekday evening on iHeartRadio, or wherever you get your podcasts. LISTEN ABOVESee omnystudio.com/listener for privacy information.

Tonight on The Huddle, Auckland Councillor Maurice Williamson and Jack Tame from ZB's Saturday Mornings and Q&A joined in on a discussion about the following issues of the day - and more! Does Andrew Little have a point about the deadline for council amalgamation being unrealistic? Could the Government have given councils more time? Is increased fares the last thing Te Huia needs as it goes into the last year of its trial? LISTEN ABOVESee omnystudio.com/listener for privacy information.

Welcome back to another episode of Man vs Marriage.In this second deep dive from The Big Picture series, we explore Jesus as the greatest legacy. Huddle up as Quincy asks the hard questions: Who do you emulate? What example are you setting for the young men in your life? What values are you living that are worthy of being followed?From servant leadership and sacrifice to Ephesians 5:25 and Mark 10:45, this episode connects Christ's example to how we love and lead our wives and families. Legacy isn't just what we say — it's how we live when no one is watching.Key TopicsJesus as the ultimate model of service and sacrificeHuddle-up reflection questions for menEphesians 5:25 – Husbands, love your wivesBuilding a legacy worthy of being followedTimeline / Chapters00:00 – 00:08: Pre-show setup00:08 – 00:02:30: Huddle up – Reflective questions for men00:02:30 – 00:08:00: Jesus as the greatest legacy00:08:00 – 00:20:00: Mark 10:45 & servant leadership00:20:00 – 00:27:00: Ephesians 5:25 – How husbands should love00:27:00 – 00:33:00: Closing encouragement & call to actionCall to Action This week, reflect on one way you can follow Jesus' example of service and sacrifice in your home. Share this episode with 5 men who need to see what real legacy looks like.Contact / Links Email: quincy@mvsmpodcast.com Website: MVSMpodcast.comHashtags #ManVsMarriage #TheGreatestLegacy #JesusIsTheGreatestLegacy #ServantLeadership #TheBigPicture #MenHelpingMen #FaithAndFamily

The Huddle by SBV - Philicia Douglas, Minnesota Twins and Leah Rubertino, Texas Rangers

The boys start with their favourite headlines from this week - including top-seed carnage at the French Open, and a woman who'd been on the run for three decades. Chief had a scare at the MCG last weekend, and he gets into character for two more classic movie monologues. The boys chat about the Enhanced Games, then take stock of the AFL season so far with a mid-year review. Howie needs some advice ahead of date-night tonight, and Chief has put together a quiz with a coaching theme - there are some enormously tricky questions in this one! Browny talks about Fasting in his Health Hotline, before the boys get into a deep discussion about James Hird putting himself in prime position to be Essendon's next senior coach. Hawthorn senior coach Sam Mitchell calls in after their big win over the Saints last night, Browny's Top 5 looks at some underwhelming National Anthem performances, and Howie has some mail on Browny and a new advertising campaign he's set to be involved in.See omnystudio.com/listener for privacy information.

Alright, this week…it's a holiday week! Soooo we're skipping the Two Minute Drill and dipping into the Inside the Huddle archives to replay a pair of recent interviews. [@ 1 min] First up, conductor James Gaffigan tells us why the Komische Oper is a total party! He went Inside the Huddle shortly after being named Music Director of Houston Grand Opera last fall. [@ 38 min] And then...Grammy Award-winning soprano Amanda Forsythe joins us from last summer's Boston Early Music Festival, when she was a mere Grammy-hopeful. That's the OBS Bump, folks. It's powerful. GET YOUR VOICE HEARD Stream new episodes every Saturday at 10 AM CT on amplisoundsradio.com operaboxscore.com facebook.com/obschi1 operaboxscore.bsky.social

Inside the Huddle with Michael SpathSee omnystudio.com/listener for privacy information.

In this episode of the BCAM Podcast, we sit down with Glynn and Jillian Blackwell to talk about leadership, coaching, and what it takes to support student-athletes beyond the game.The Blackwells share valuable insight on emotional intelligence, building trust, developing strong relationships, and helping athletes grow through both success and adversity. This conversation highlights the importance of knowing yourself as a leader, communicating honestly, and creating a support system around student-athletes and their families.Whether you're a coach, parent, athlete, or leader in sports, this episode is packed with lessons on leadership, relationships, and building a healthier sports environment.Show links:Moms in the Huddle - https://www.youtube.com/@MomsintheHuddleFellowship of Christian Athletes - https://fca.org

Today let us acknowledge the Gift of the Holy Spirit, give thanks for the gift and use the gifts of the Spirit in our lives!  (Pentecost Sequence)The homilies of Msgr. Stephen J. AvilaPastor, St. Joseph, Guardian of the Holy Family Parish, Falmouth, MAThanks for listening! May God's Word find a home in you.

Browny starts the show by admitting to doing something at a wine tasting that everyone else is appalled by, then we whip through the boys favourite news headlines from the past week. Chief questions whether it's right to phone it in at your job, then gives 110% himself with two more movie monologues from some cult classics. Browny has a question about gym etiquette, and Howie runs through the stories of the last five players to break the VFL/AFL Games Record. Gorden Tallis calls in to talk about the shocking MND diagnosis of Jai Arrow, and how the rugby community has rallied around one of its stars. Chief has a Scott Pendlebury-themed quiz, Browny built a dog kennel and it hasn't gone well, then he puts Cup Noodles under the microscope in the Health Hotline. The boys chat about Essendon's next three games and how they could determine Brad Scott's future, then Howie reveals how Damo nearly lost his exclusive Michael Voss interview to another member of the Friday Huddle team. Tigers coach Adem Yze calls in ahead of tonight's clash with the Bombers, Browny's Top 5 is 'improbable but not impossible', and Howie has a bad habit of continually losing important items.See omnystudio.com/listener for privacy information.

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

Another Bonus podcast with Barrett Brooks and Mike Mulhern! They go week-by-week to predict the Eagles 2026 regular season following the schedule release.

Inside the Huddle with Michael SpathSee omnystudio.com/listener for privacy information.

The spray-and-pray approach to AI investing is dead. Join us as we discuss what it takes to stand out in a saturated market as we move beyond the hype to identify real moats and what's next for investors in this space. This episode was taped before a live audience at Web Summit Vancouver. We meet: Andy McLoughlin is a seed-stage investor at Uncork Capital focused on B2B software, developer tools, and applied AI — and before VC, he co-founded Huddle, an enterprise collaboration platform that was acquired in 2016. George Mathew is a self-described "deep operator turned venture capitalist" at Insight Partners, with 20+ years building companies including as CEO of Kespry and President & COO of Alteryx, which he scaled through its IPO. Emily Fontaine leads IBM's $500 million Enterprise AI fund and quantum investing strategy — she's spent 15 years at IBM, previously serving as Executive Advocate to IBM's Chairman and CEO, and as AI Federal Leader for IBM Consulting. Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.

On this episode of the Twentyman in the Huddle podcast presented by CoPilot+ PC, Tim Twentyman is joined by the Detroit Lions' 2026 NFL Draft class.See omnystudio.com/listener for privacy information.

We explore why eating choices can feel easy one moment and confusing the next, and we reframe it as different “selves” taking turns in the driver's seat. We lay out five common selves that influence nutrition habits and show how inviting your future self into the decision can reduce regret without using guilt. • the core question of who is showing up when you eat • the difference between hunger and what state is driving • the disciplined self as structured and long-term focused • the tired self as low energy and drawn to easy food • the emotional self as seeking comfort and distraction • the social self as choosing connection and belonging • the future self as wise, calm, and values-aligned • practical steps to notice the current self and meet the real need https://aarondegler.com/

Get the free Core Drives in the Wild guide, behavioral design applied to real products: professorgame.com/WildCD Episode Summary Victoria Ichizli-Bartels, author of fourteen books on gameful living and coiner of the term "self-gamification," explores how the role of the tabletop RPG game master maps onto the inner conversation we have with ourselves. She walks through Jill Bolte Taylor's "brain huddle" concept (a 90-second pause that resolves inner conflict by letting the 12 different players in our heads come to the table), three diagnostic questions for stressful moments ("what is happening inside myself," "who is talking," and "what is the goal of this person"), and a Justin Alexander hack borrowed from RPG handbooks: instead of treating a stressful thought as a crisis, respond with "yes, this can happen, now what do you do?" Listeners come away with practical reframes for daily self-management and a clearer way to spot which inner player is driving a given thought. About the Host Rob Alvarez is Head of Engagement Strategy, Europe at The Octalysis Group (TOG), a leading gamification and behavioral design consultancy. A globally recognized gamification strategist and TEDx speaker, he founded and hosts Professor Game, the #1 gamification podcast, and has interviewed hundreds of global experts. He designs evidence-based engagement systems that drive motivation, loyalty, and results, and teaches LEGO® SERIOUS PLAY® and gamification at top institutions including IE Business School, EFMD, and EBS University across Europe, the Americas, and Asia. Key Takeaways Jill Bolte Taylor's "brain huddle" concept proposes that 90 seconds of pause is enough to resolve inner conflict, by letting the different characters in our heads (which Victoria counts as roughly 12 distinct players, including self-leader, self-coach, game designer, and game master) come together and find an appropriate response. The single most useful diagnostic question for a stressful moment is "what is happening inside myself," followed by "who is talking" and "what is the goal of this person" — the third one usually reveals that the inner voice is trying to protect or train you, not sabotage you. Justin Alexander's RPG game master hack, "yes, this can happen, now what do you do?", reframes intrusive or stressful thoughts (like "I want to quit my job") from a crisis into an exploration, which usually reveals you don't want the extreme outcome — you want a smaller change. RPG handbook rules ("respect your co-players, be patient, be curious, be open-minded") map directly onto self-talk. Open-mindedness toward your own impulses is the rule most people break without noticing. Victoria connects RPG engagement to Core Drive 7 (Unpredictability and Curiosity): players love active play and surprise inside games but resent it in life, even though the underlying motivator is identical. Recognizing this changes how you experience unexpected events. The strategic-game metaphor of map exploration ("the land becomes lighter as you pay attention") and cool-down phases (planting crops after taking a castle) gives a concrete vocabulary for energy management between high-output and recovery days. Topics Covered 0:00 — Opening hook on RPG surprise 0:25 — Welcome and guest reintroduction 1:51 — 14 books in and still surprised 4:06 — Writing about TTRPGs without playing them 6:47 — The game master inside your head 9:48 — Why RPGs are collaborative storytelling 12:22 — Is there a map of the mind 16:47 — Rules of the inner RPG 18:29 — The 12 players inside us 19:05 — The 90-second brain huddle 23:30 — Self-care hacks from RPG handbooks 25:37 — The yes-this-can-happen reframe 26:56 — Closing thoughts and what is next Get the free Core Drives in the Wild guide, behavioral design applied to real products: professorgame.com/WildCD About Victoria Ichizli-Bartels Victoria Ichizli-Bartels is a writer, coach, and consultant with a background in semiconductor physics, electronic engineering (Ph.D.), information technology, and business development. While not a traditional gamer, Victoria coined the term "self-gamification," a gameful, playful approach to self-care and self-help that combines anthropology, kaizen, and gamification to enhance quality of life. With over a decade of experience living gamefully, she is the author of fourteen books and the instructor of two online courses on turning life into fun games. Victoria grew up in Moldova, lived in Germany for twelve years, and since 2008 has been based in Aalborg, Denmark, with her husband and two children. Find the Guest Online Website: https://www.victoriaichizlibartels.com/ LinkedIn: https://www.linkedin.com/in/victoriaichizlibartels/ Facebook: https://www.facebook.com/optimistwriter Substack: https://selfgamificationclub.substack.com/ Mentioned in This Episode Be Your Best Game Master by Victoria Ichizli-Bartels (the book this conversation is built around) So You Want to Be a Game Master by Justin Alexander Whole Brain Living by Jill Bolte Taylor (the "brain huddle" concept and the four-characters model) The 5-Minute Perseverance Game by Victoria Ichizli-Bartels (her first book, published 10 years ago) Actual Real Life Role-Playing Games by Victoria Ichizli-Bartels 10,000 Hours of Play by Yu-kai Chou A.J. Jacobs and his life-as-experiment / puzzler books Dungeons & Dragons (D&D) and tabletop RPGs in general Story Cubes (the dice-and-pictures storytelling game) Core Drive 7 — Unpredictability & Curiosity (Octalysis) Free Resources and Get in Touch Core Drives in the Wild: Professor Game Free Guide Get Daily Value on Your Email Let's chat about your gamification project YouTube LinkedIn Instagram Facebook Start Your Community on Skool for Free Ask a question

Join Eric, @SteffanPappas, @TimAndrewsHere, @Autopritts, @JaredYamamoto, Greg, and George LIVE on 95.5 WSB from 3 pm-7 pm as they chat about AI financial advice, lazy hooks, Neanderthal dentistry, and so much more! *New episodes of our sister shows: The Popcast with Tim Andrews and The Nightcap with Jared Yamamoto are available as well!

Inside the Huddle with Michael SpathSee omnystudio.com/listener for privacy information.

Amanda Lucci is the Director of Special Projects at Women's Health, where she has spent the last decade evolving the brand’s digital presence and spearheading their expansive coverage of women’s sports. From the sidelines of the WNBA to the mixed zones of the Paris Olympic Games, Amanda is on a mission to tell the stories of the women transforming the future of the industry—both on the court and behind the scenes. In this episode, Amanda opens up about her career pivot from entertainment journalism to becoming a powerhouse in sports media. She shares the raw reality of navigating a male-dominated press room and the importance of having women’s voices in those spaces to tell more nuanced, relatable stories. We also dive into her personal journey through a grueling multi-year fertility battle, how it reshaped her perspective on success, and how she balances the high-octane world of sports reporting with her newest role: being a mom. MENTIONEDThe HuddleGame Changers IN THIS EPISODE The Evolution of Women’s Sports: How Women's Health transitioned from standard fitness tips to deep-dive reporting on elite athletes and industry game-changers. Navigating the Press Room: Amanda describes the Olympic mixed zone and why female journalists are essential for asking the questions that actually resonate with athletes. A Personal Hurdle: The mental and physical toll of three rounds of IUI and four rounds of IVF, and how her passion for women's sports acted as a lifeline during that time. The Power of "No": Why her 2026 "word of the year" is focused on being selective with her energy and projects to show up fully for her family. New Ventures: The launch of The Huddle podcast and the excitement of moving from behind the camera to in front of the microphone. Predictions for the Future: Why Amanda believes sports like flag football and volleyball are on the cusp of a massive cultural explosion. QUOTABLE MOMENTS "If you're a sports fan, then you'll love women's sports. It is for you." "I want people to read our coverage and watch the game through a new lens... knowing who the people are and what makes them tick makes me so much more locked in." "I had to face the reality that at any point, this could go wrong. The entire experience is totally out of your control... but I realized I have such a full life that I will be okay, and I will be happy." "If you worry about something that hasn't happened, then it does happen, you just worried twice. You should live now, and we'll deal with it later." "I don’t look in the mirror every day and say, 'You go girl'... but ultimately, I am so proud of what I have overcome and the way I've grown personally and professionally." SOCIAL@alucci@womenshealthmag@emilyabbate@iheartwomenssports JOIN: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Daily Hurdle IG Channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ SIGN UP: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Weekly Hurdle Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ASK ME A QUESTION: Email hello@hurdle.us to with your questions! Emily answers them every Friday on the show. Listen to Hurdle with Emily Abbate on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Huddle up with the former NFL General Manager and former NFL Player to dive into NFL rosters to identify the worst teams in the league heading into the 2026 season.  Marty Hurney and Geoff Schwartz also share insights about the NFL Schedule - what do players and front offices look for when the schedule is released?  The guys also dish out their favorite NFL Team Win Total betting values to help you get the best odds before the numbers adjust. Learn more about your ad choices. Visit podcastchoices.com/adchoices