Podcasts about startups

What if the way we think about business value, trust, and capitalism itself is fundamentally broken? Eric Ries' The Lean Startup changed how a generation of entrepreneurs build companies. Now, Ries takes aim at some of the most sacred business assumptions today in his new book, Incorruptible. Ries joins Rapid Response to share what he witnessed firsthand in the clash between Anthropic and the US government, and why he believes the current system is failing the very people it's supposed to serve. He also brings in-the-trenches stories from Cloudflare, Novo Nordisk, and Whole Foods to make the case that courage, not capital, may be the most undervalued asset in business right now.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Peptides are short chains of amino acids. GLP-1 weight loss drugs are peptides. Insulin is one, too. And there are thousands of others. Now, people are seeking out peptides in the hope of better muscles, better skin, better memory, better…everything. Many of the peptides people wanna try are available for research use only but the Food and Drug Administration might change this. In July, the agency could decide to make about a dozen peptides more accessible by allowing pharmacies to compound and distribute them Marketplace's Stephanie Hughes spoke with Zara Stone, tech culture reporter at The San Francisco Standard, to learn more.

Join Scott Connor, RayGQue and JRich as they kick off a brand new FFPC Dynasty Superflex Triflex Best Ball startup LIVE on stream. With a $250 buy-in, sharp competition, and one of the most unique dynasty formats in fantasy football, this draft is loaded with strategy discussion, roster construction debates, player value pivots, and real-time reactions throughout the night. Happy Memorial Day weekend! Thank you for checking out the Podcast, be sure to follow and comment if you have any questions, we are always happy to answer any. For Access to our Premium Tools (Trinity, WAR & More) & Discord Community https://ddfantasyfootball.com/subscriptions/ Join the discord for FREE: https://discord.gg/TAeWz3B5VW Subscribe to the Youtube Channel DDFFB https://www.youtube.com/@DDFFB Sub to the Wake up YT Channel: https://www.youtube.com/channel/UCaIJqSepjl-eZ2YEaaLciFA Subscribe to Ray's Channel: https://www.youtube.com/@RayGQue Check out All of Ray's Articles at Yahoo!: https://sports.yahoo.com/author/ray-garvin/ Follow Ray on Bleacher Report: https://br.app.link/7ExIDsWfHVb Follow us on Twitter: https://x.com/destinationdevy Become a Member on Youtube for access to the Dynasty Deal Show Live, Destination Chill and other member benefits, like priority reply to comments and unique badges and emojis: https://www.youtube.com/channel/UCV84gHvtBMXxzN9ZPI9XHfg/join Learn more about your ad choices. Visit megaphone.fm/adchoices

In honor of Mother's Day, get $200 off a new Dear FoundHer... Forum membership through the month of May. Join the community built for women business owners over 40 who are building real businesses on their own terms. JOIN US INSIDE HERE, no code necessary to save.A group of executives walked into a room, and Leah knew exactly who mattered.Dear FoundHer host Lindsay Pinchuk sits down with Leah Solivan to talk partnership marketing, founder visibility, and one of the clearest business growth stories from Taskrabbit's path to acquisition. Leah built Taskrabbit from a Boston apartment with no MBA, no startup network, and no idea how venture funding worked. What she had was an idea she refused to stop talking about and the discipline to do the unsexy groundwork for years before the right opportunity arrived. That is the entire lesson of this episode, and it applies to every woman building something right now.This conversation is for women founders who are tired of being told to run ads, chase virality, or wait for the perfect moment. Leah's story proves that partnership marketing is not a tactic. It is a long game built on real relationships, real data, and showing up consistently in the right markets before you ever get the right meeting.Taskrabbit's sale to IKEA started with one lucky opening, but the deal did not happen because of luck alone. It happened because Leah spent years trying to get on IKEA's radar, knew her numbers cold, and was ready when one person in a room of eight finally mattered. Taskrabbit was already operating in London, one of IKEA's largest markets, and a quarter of its jobs were IKEA furniture assembly. Founder visibility is not about being everywhere. It is about being undeniable when it counts.If you are a woman founder wondering whether the quiet, unglamorous work is moving anything forward, this episode will answer that. Building relationships in business the right way is slow. It compounds in a way quick wins often do not.Episode Breakdown:00:00 From IBM Engineer to Taskrabbit Founder: Leah Solivan's Origin Story03:33 Why Talking About Your Idea Is the First Step in Partnership Marketing08:57 Rebranding From Run My Errand to Taskrabbit11:09 How Leah Validated the Taskrabbit Concept Before Raising Money13:23 Raising a Startup's First Round of Funding With No Business Background19:40 Scaling a Business City by City and the Decision to Go International21:26 Building Trust in a Gig Economy Marketplace24:56 The IKEA Partnership That Led to an Acquisition28:49 Life After the Exit: Investing, Podcasting, and What Comes Next31:03 Three Actionable Tips for First-Time FoundersConnect with Leah Solivan:Follow Leah on InstagramConnect with Leah on LinkedInFollow Leah on XSubscribe to The FoundHer Files Substack: http://foundherfiles.substack.comFree Forum Open House + Networking Session Come see what's inside the Dear FoundHer Forum SAVE YOUR SEAT https://lindsaypinchuk.myflodesk.com/q2forumopenhouse Join THE networking community for women business owners over forty, The Dear FoundHer... Forum Follow Dear FoundHer... on Instagram http://www.instagram.com/dearfoundherPodcast production and show notes provided by HiveCast.fm Hosted on Acast. See acast.com/privacy for more information.

This week, Tammy welcomes Will Townsend to the Catalyst podcast booth, recording live from NTT Research's Upgrade event in Silicon Valley. Will is the Chief Analyst at LoneStar Advisory and Research, an independent firm he launched after nearly a decade at Moor Insights & Strategy. In this conversation, Will shares where he's seeing AI create genuine, measurable impact beyond the pilot stage. Will also makes the case for post-quantum readiness as the next critical frontier and gives a candid look at his own hands-on science experiment with an OpenClaw mini PC — because, as he puts it, there's no substitute for getting your hands dirty.Please note that the views expressed may not necessarily be those of NTT DATA.Links: LoneStar Advisory and Research Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Christina Quinn, General Partner at SSC Venture Partners, shares practical lessons from investing in first-time founders and supporting Boston College entrepreneurs through venture funding and accelerator programs. She explains how SSC Venture Partners combines community, mentorship, and early-stage capital to help founders navigate the difficult early years of company building. Christina also discusses the qualities she consistently looks for in entrepreneurs, including adaptability, resilience, initiative, and self-awareness. In this episode, you'll learn: [01:59] Christina Quinn's unconventional path into venture capital [05:36] How SSC Venture Partners supports Boston College founders [10:30] Why SSC invests at the true pre-seed stage [15:52] The founder traits Christina values most [18:14] How to tell real founder obsession from startup hype [21:01] The GiveCard story and mission-driven entrepreneurship [26:07] Common reasons founders get rejected [30:06] Advice for founders before pitching investors The nonprofit organization Christina is passionate about: Artists for Humanity About Christina Quinn Christina Quinn is a General Partner at SSC Venture Partners, where she focuses on backing early-stage founders connected to the Boston College ecosystem. Before entering venture capital, Christina built a career in marketing, communications, and private equity, developing expertise in storytelling, fundraising, and brand strategy. She previously worked with emerging venture managers through Coolwater Capital and has become known for her founder-first approach to investing, particularly with first-time entrepreneurs building mission-driven businesses. About SSC Venture Partners SSC Venture Partners is an affinity-based venture capital firm and startup accelerator focused on founders connected to the Boston College ecosystem. Founded originally as a nonprofit accelerator program, SSC has evolved into an early-stage venture platform supporting entrepreneurs through mentorship, community, and pre-seed capital. The firm invests across sectors and emphasizes founder development, resilience, and long-term company building. In addition to its venture fund, SSC operates accelerator programs designed to help first-time founders navigate product development, customer discovery, fundraising, and team building. Subscribe to our podcast and stay tuned for our next episode.

In this episode of the Female emPOWERed Podcast, Christa Gurka sits down with returning guest Felicia Alexander for a powerful conversation about entrepreneurship, leadership, scaling a boutique fitness business, and what it really takes to build a sustainable company in the wellness industry.Felicia shares her journey from corporate America to co-founding BoxUnion, growing the brand through rapid expansion, and later acquiring TITLE Boxing Club during the pandemic. Together, Christa and Felicia unpack the biggest lessons they've learned about leadership, systems, hiring, sales, onboarding, retention, studio culture, and preparing a business for long-term growth — or even a future exit.They also announce an exciting new collaboration between Fit Biz Strategies and Felicia Alexander to help female studio owners build more profitable, scalable, and sustainable businesses.If you own a Pilates studio, PT practice, yoga studio, barre studio, HIIT gym, or boutique wellness business, this episode is packed with actionable insights on building systems, improving client retention, strengthening community, and stepping into true CEO leadership.In This Episode, We Discuss: How Felicia transitioned from corporate marketing into boutique fitness entrepreneurship  The founding and growth of BoxUnion  What happened when BoxUnion acquired TITLE Boxing Club  Why most studio owners struggle with systems and operations  The hidden costs of weak onboarding and inconsistent sales processes  How strong studio culture improves retention  The importance of community in boutique fitness  Why female business owners need mentorship and support  Preparing your business for scalability and future exit opportunities  The new collaboration between Fit Biz Strategies and Felicia Alexander Connect with Christa Gurka & Fit Biz Strategies

20 years ago, Bo Burlingham gave a name to a feeling a lot of business owners had struggled to articulate. In his book Small Giants, Bo profiled companies that had chosen not to chase growth at all costs. Most were bootstrapped, owner-operated businesses that cared less about getting big than about building something enduring, meaningful, and excellent. They weren't anti-growth. They just wanted growth to be intentional. And for many owners who read the book, the reaction was immediate: “I thought I was the only one who felt this way.” Out of that recognition grew a community—and eventually an organization—led in large part by Paul Spiegelman, whose own company embodied the Small Giants philosophy. With Bo's encouragement, Paul launched the Small Giants organization 15 years ago to connect owners trying to build great companies without sacrificing culture, independence, or quality of life.At our recent 21 Hats Live gathering in Cincinnati, we explored where that movement goes next in a Brainstorm session with Jean Moncrieff, who took over leadership of the Small Giants organization last year. Jean—who's from South Africa, lives in Zurich, but is moving to the U.S.—brings both momentum and candor to the role. He recently led his first Small Giants Summit in Detroit, which attendees—including me—praised for its renewed energy and sense of purpose. He's also the author of a terrific new book, Finding Freedom: The Business Owner's Guide to Building a Valuable Company and a Meaningful Life. But as you'll hear, Jean recognizes there are challenges ahead.What exactly is Small Giants today? Who is it for? What makes it different from the many other organizations competing for the attention of business owners? Does it need a more formal set of principles—or even an operating system—to help companies put its philosophy into practice? Can it stay true to its founding mission while also attracting businesses large enough to support its events and programs? Ultimately, the conversation arrives at a tension at the heart of the enterprise: Can the Small Giants organization itself become a sustainable, profitable business without losing the values it was created to protect? In other words, can Small Giants become a true small giant?Show Notes:The organizations discussed in this episode include: The Great Game of Business, the Tugboat Institute, and EOS Worldwide.The books discussed in this episode include: Finding Freedom by Jean Moncrieff, Small Giants by Bo Burlingham, Another Way by Dave Whorton with Bo Burlingham, The Great Game of Business by Jack Stack and Bo Burlingham, The Power of Mattering by Zach Mercurio, and Profit First by Mike Michalowicz.The businesses discussed in this episode include: Smiley Technologies, ITR Economics, Zingerman's Community of Businesses, Text-Em-All, Tasty Catering, Venturity, ImageOne, and Atomic Object. 

In this episode of One Vision, Theodora Lau sits down with Hay Yip, Chief Strategy Officer and Chief of Staff at FundPark in Hong Kong, for a conversation that spans heritage, working capital, and what it really takes for SMEs to scale in an uncertain world.Hay shares his journey from a commercial banking career at HSBC — spanning both London and Hong Kong — to the electric pace of a fintech startup, and why he now goes to bed "with one eye open." Born in Hong Kong and grew up in the UK, his story comes full circle as he returns home to help the small businesses he's always been drawn to.At the heart of the conversation is the often-overlooked engine of commerce: working capital. Hay makes the case that cash flow is the "bloodline" of any growing business, and explains how FundPark uses data and analytics to serve e-commerce merchants who are not just underserved by traditional banks, but in many cases entirely unserved. Theo and Hay explore the founders' origin story, why entrepreneurs deserve more credit for their courage, and how global supply chain fragility shows up in the everyday lives of merchants and the customers who depend on them.Tune in for a candid look at the unglamorous but essential side of fintech, and FundPark's vision of "scale up as a service" — helping ordinary people behind real businesses thrive.

Eric Ries had a 40-page business plan. An Excel model so complicated it would crash Excel. A team of elite students, real investors, and a working product. What he didn't have was a strategy -- and he didn't realize it until after the startup collapsed. Episode page with video, links, and more The moment of clarity came in a Boston job interview. A panel of consultants asked what he'd learned. He gave them practical tips. They told him that wasn't strategy. Sitting there, he realized he didn't actually know what the word meant. That category error -- mistaking a polished plan for a strategy -- is the mistake that eventually became The Lean Startup. In this episode, Eric traces the line from that dorm-room failure to his new book, Incorruptible: Why Good Companies Go Bad and How Great Companies Stay Great. He argues that many of the so-called best practices founders are trained to follow aren't pillars of capitalism at all -- they're modern inventions with a poor track record. We get into the Whole Foods unraveling and why John Mackey couldn't simply cut prices, the prehistory of Costco through Sol Price's fiduciary duty to the customer, and what Jim Sinegal built into Costco's governance that has held for four CEOs and forty years. We also look at Novo Nordisk's industrial foundation structure -- a hundred-year-old design that makes companies six times more likely to survive fifty years -- and why most founders have never heard of it. A conversation about strategy, structure, and the quiet ways good companies go bad.

Kyle Sandler spent much of his life searching – for an identity, for a purpose, for a place where he fit in. But when he discovers he has a gift for sales, everything changes. Kyle takes his talents to a small town in Alabama, where he opens Round House, a startup incubator that promises to put his new community on the tech map. Armed with big-name drops – including an alleged connection to Google – Kyle dazzles wide-eyed investors into opening their wallets. But as the money pours in, cracks begin to form – and an entire town is about to learn just how much their visionary has been taking them for.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Chris Heckman stared at his computer screen with a sinking feeling: his first major e-commerce store launch was a complete zero, leaving him with $100,000 in credit card debt. Instead of crawling back to the safety of his corporate job at Amazon, he adopted a "burn the boats" mentality, treated his failures as data, and built a print on demand (POD) powerhouse that has since generated over $25 million in total sales.In this episode of the UpFlip Podcast, Chris breaks down the realities of building an e-commerce brand from scratch. He explains how he bounced back from massive debt, why most beginners quit right before they find success, and the exact digital marketing strategies he uses today to generate over $1.1M a year without touching a single piece of inventory.

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 2063: Nir Eyal explores why products like Facebook, Twitter, and Pinterest become so deeply ingrained in our daily routines by breaking down the psychology behind habit-forming technology. He reveals how successful companies manufacture desire through a four-step process that taps into human behavior, emotions, and motivation, offering valuable insight into the mechanics of attention and engagement in the digital age. Read along with the original article(s) here: https://www.nirandfar.com/how-to-manufacture-desire/ Quotes to ponder: "Instead of relying on expensive marketing or worrying about differentiation, habit-forming companies get users to cue themselves to action by attaching their services to the users' daily routines and emotions." "The Hooked Model is a way of describing a user's interactions with a product as they pass through four phases: a trigger to begin using the product, an action to satisfy the trigger, a variable reward for the action, and some type of investment that, ultimately, makes the product more valuable to the user." "Startups manufacture desire by guiding users through a series of experiences designed to create habits." Learn more about your ad choices. Visit megaphone.fm/adchoices

Chinese AI startup DeepSeek announces a permanent 75% price cut for tokens, Mark Gurman reports iOS 27 includes a Camera app update allowing settings to be moved around, and an HP BIOS update pushed by Windows Update rendered some high-end laptops unbootable. MP3 Please SUBSCRIBE HERE for free or get DTNS shows ad-free. A specialContinue reading "Chinese AI Startup DeepSeek Announces 75% Price Cut – DTH"

SummaryWhat happens when passion for storytelling meets the entrepreneurial spirit? In this episode of the Startup Junkies podcast, Danielle Keller, media entrepreneur, award-winning podcaster, and editor-in-chief of Northwest Arkansas's beloved Peekaboo magazine, joins Daniel Koonce, Caleb Talley, and Ty Steele for a conversation packed with inspiration, nostalgia, and the realities of building community through storytelling.Danielle shares her fascinating career journey, from her beginnings in California writing for school papers, through a detour in higher education, to diving fearlessly into documentary film, video production, and ultimately acquiring and revitalizing Peekaboo magazine. She details how Peekaboo, once a crucial parental resource before the rise of social media, became a passion project resurrected through grit, research, and community demand. The print magazine's unique sensory experience illustrates the hunger for tangible connections in a digital age.Listeners will delight in anecdotes about local mascot Ozzy the Ozark Fox, created by Danielle's daughter, and how family, authenticity, and real community voices shape every issue. The episode highlights the importance of collaboration, adaptability, and embracing both print and digital platforms as Peekaboo grows and evolves.With future visions of podcasts, dynamic web offerings, and newsletters, Danielle reminds us that it's never too late to pursue fresh dreams, amplify others' voices, and savor the present. This episode is a must-listen for entrepreneurs, storytellers, and anyone who believes in the lasting power of local stories!Show Notes(00:00) Danielle's Career Path in Media(04:06) Starting Peekaboo for Parents(09:48) Evaluating Print Magazine Revival(18:10) Creating a Themed Editorial Calendar(20:37) Seasonal Advertising Opportunities(23:07) Expanding Digital Content(33:21) Closing ThoughtsLinksDaniel KoonceCaleb TalleyTy SteeleStartup JunkieStartup Junkie YouTubeDanielle KellerPeekaboo Magazine

We all feel the urgency: learn to use AI, or risk falling behind at work. And we all know there's an upside: AI can reduce tedious tasks, streamline operations, and boost output. But knowing is half the battle (maybe even less) and implementing AI needs to happen across an entire organization. So what does it take to start?Well, here at WaitWhat (the company behind this podcast!) we paused all operations for three days to find out. From editorial curation to visual design to event planning, we split into teams for an “AI Sprint.” And this Pioneers of AI episode takes you to the starting blocks on the track with us, as we test new tools, discover their limitations, and find where AI can deliver on its promise.Learn more about Pioneers of AI: http://pioneersof.ai/Follow Pioneers of AI on all channels: https://linktr.ee/pioneersofaiSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This Week In Startups is made possible by:Every.io https://every.ioShopify https://shopify.com/twistRender https://render.com/twistPlaud https://Plaud.ai/twistToday's show:Startups like Divergent Technologies are producing components and aircraft for the military through new systems that are better, faster, and cheaper than conventional methods. CEO and co-founder Lukas Czinger stops by TWiST to share the company's vertically integrated, AI-driven manufacturing platform and how he transitioned from hypercar parts to working directly with the Pentagon on autonomous aircraft.Plus, 50 million Americans are on antidepressants, and it's not necessarily the right treatment for all of them. Outro Health co-founders Brandon Goode and Dr. Mark Horowitz share their hyperbolic tapering method, which helps patients get off drugs like Zoloft and Prozac without suffering through traumatic and potentially dangerous side effects.GuestsLukas Czinger: https://x.com/lukasczingerDivergent Technologies: https://www.divergent3d.comCzinger Vehicles: https://www.czinger.com/Brandon Goode: https://www.linkedin.com/in/goodebrandon/Dr. Mark Horowitz: https://x.com/markhoroOutro Health: https://outro.comTimestamps:0:00 Divergent shifted from hypercar development to 3D printing all kinds of components1:33 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at https://Plaud.ai/twist and use code TWIST for 10% off!4:10 How 3D printing has exponentially improved8:18 Making military components faster, better, and cheaper9:58 Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit https://every.io11:00 How Divergent caught the Pentagon's attention19:51 Shopify - Turn those What Ifs into sales with the ecommerce platform powering millions of businesses. Sign up for your $1-per-month trial today at https://shopify.com/twist25:29 Why Outro Health helps patients taper off SSRIs30:06 Render - Find out why 5 million developers are already using the all-in-one cloud platform, Render. Go to https://render.com/twist and apply for the Render Startup Program to get $500-$100,000 in free credits, depending on your stage and backers.36:37 Is depression caused by a "chemical imbalance"?46:37 Understanding the hyperbolic tapering method58:32 How Outro makes money1:10:01 Leaked Meta layoff audio1:13:41 Cloudflare CEO drops "measurer" roles1:18:16 CrowdHealth - CrowdHealth lets you ditch the bureaucracy with a peer-to-peer funding platform for your healthcare. Get started for $99 per month for your first three months by using the code TWIST at https://JoinCrowdHealth.com/twist.1:19:17 Why Trump canceled his AI executive order1:28:08 Polymarket sharps on Russia vs. Ukraine, SpaceX ticker symbol1:33:34 Luel vs. Kled update: Is this nepotism at work?1:37:02 Chris Nolan doesn't have a smartphone1:43:04 Jason's favorite new espresso machineSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisCheck out all our partner offers: https://partners.launch.co/Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

Going Long Podcast Episode 631: Advising EMEA Startups to Scale Up - Marie Campagne  ( To see the Video Version of today's conversation just CLICK HERE. ) In today's episode of The Going Long Podcast, you'll learn the following:   [00:24 - 02:20] Billy welcomes and introduces today's special guest, Marie Campagne [02:20 - 06:48] Billy asks Marie what the end of her corporate relationship was like, why she ended it, and where she is focused today. [06:48 - 11:11] Marie shares insights from her views on taking risks, how she takes calculated risks, and what kinds of risks there are beyond financial. [11:11 - 13:11] Billy asks Marie to describe pressures she experiences, where they come from and how she deals with them. [13:11 - 17:34] Marie explains what led her to end up living and working in so many countries and what impacts and fruits this led to. [17:34 - 21:32] Billy asks Marie what drove her to focus on a space that nobody else currently was. [21:32 - 24:30] Marie explains how she identifies and predicts problems that start ups will find and how she works out solutions for them. [24:30 - 27:47] Marie explains what it takes to back yourself and the ways that she has shown up for herself to get where she is today. [27:47 - 33:34] Billy asks Billy to share details about her current projects and entrepreneurial vocations. [33:34 - 36:21] Marie shares the message that she would like to hear from herself three years from now. [36:21 - 39:15] Billy sums up all we've learned from Marie today and asks her to share the best ways we can get in contact and find her online. [39:15 - 40:04] Billy wraps up the show.   How best to get in touch with and find out more about Marie Campagne: LinkedIn: https://www.linkedin.com/in/mariecampagne    Websites: www.hanae.es   www.hervestclub.com      If you're a corporate executive who wants to make your role optional, then grab your FREE ebook with Billy's proven 3 step process at:  www.makeitoptional.com What you can expect to get out of this ebook: Learn how to achieve corporate optionality Gain true control over your career Turn corporate skills into personal assets With 26 years of experience in corporate sales leadership, achieved optionality through multiple income streams, Billy has helped dozens of executives build their paths to take control of their time. This free ebook gives you everything you need to identify, plan, and take control of your career while building financial optionality, leveraging your skills, and start living your IDEAL day - today! Go to: www.makeitoptional.com   Click the above link or just copy and paste the following directly into your browser to sign up and get your free ebook: https://www.makeitoptional.com/?utm_source=youtube&utm_medium=social&utm_campaign=p2olm  To see the Video Version of today's conversation just CLICK HERE.   How to leave a review for The Going Long Podcast: https://youtu.be/qfRqLVcf8UI     Be sure to connect with Billy!  He's made it easy for you to do…Just go to any of these sites:   Website: www.billykeels.com Youtube: billykeels Facebook: Billy Keels Fan Page Instagram: @billykeels Twitter: @billykeels LinkedIn: Billy Keels

Few companies are a clearer barometer of the American economy today than Uber, and few executives have a clearer view of what's coming than President and COO Andrew Macdonald. He joins Rapid Response to share what Uber's real-time data reveals about consumer behavior amid surging gas prices, and what the company's rapid expansion into hotels and hospitality really signals about its ambitions. Macdonald also confronts the uncomfortable question at the heart of Uber's autonomous vehicle push: what does the company actually owe its millions of drivers? Plus, why the rising cost of AI isn't just a tech-sector problem, and what it means for businesses of every size trying to keep up.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When Eugene Khayman first got involved with Million Dollar Sellers, it was essentially a support group for entrepreneurs building businesses on Amazon. Back then, the opportunity seemed almost limitless. Today, ecommerce feels a lot more complicated. Competition is tougher. Customer acquisition is more expensive. And sellers have many options beyond Amazon. At the same time, Khayman believes Amazon itself has changed—and not for the better. In a recent post on X, he argued that Amazon's growing fees are “destroying the marketplace it created.” He's now leading a campaign called Save Our Sellers, aimed at pushing back on policies that many third-party sellers believe are squeezing the businesses that helped make Amazon dominant in the first place.In this conversation, Khayman explains what sophisticated ecommerce operators understand that many traditional small businesses still don't, how AI is beginning to reshape online selling, and why building a business on someone else's platform can feel both irresistible and dangerous. We also talk about the tradeoffs between selling through your own website versus chasing visibility on giant platforms—and whether Amazon is still worth it.

Alfred Wallfors is the Co-founder of Listen Labs, the AI customer research company.Companies like Microsoft use Listen to run AI-powered customer interviews, and Alfred talks about how they first landed them as a customer at a pitch competition.We talk why startups should pursue enterprise customers early on, why 85% of survey answers are random clicks, how AI is changing the $140B market research industry, leveraging VC's for customer intros, how to stand out when recruiting as a startup, and hiring for obsession.Thank you to Numeral, Flex, and Amplitude for supporting this episodeNumeral: The end-to-end platform for sales tax and compliance https://www.numeral.comFlex: Get premium banking and a net 60 day credit card at 0% APY https://home.flex.one/referral/bananacapitalAmplitude: AI analytics, all you have to do is ask https://www.amplitude.comTimestamps:(0:14) Listen: AI customer research tool(7:30) Fraud is a big problem in customer research(9:06) The $140B customer survey industry(12:08) Why running customer surveys is so hard(16:03) AGI will never replace humans(18:25) Surveys vs interviews(21:13) Importance of emotion in data collection(22:54) Using AI interviews to get product feedback(26:15) Building digital twins creates better data(32:22) Outperforming generic AI tools(34:17) Sweetgreen's Max Protein Bowl(36:09) Jevon's Paradox in customer research(40:37) Quantitative vs qualitative(42:38) Landing Microsoft as an early customer(44:50) Targeting enterprise customers from day 1(48:05) Building a VC customer intro leaderboard(51:53) Recruiting with billboard games(57:20) Hiring for obsession(1:02:07) Alfred's favorite movies(1:03:53) Listen's custom agent harness(1:06:24) Velocity Fellowship for Swedes moving to SF(1:08:34) Growing up with entrepreneurial older brother(1:09:46) No shoes in the officeReferencedTry Listen: https://listenlabs.ai/Careers at Listen: https://listenlabs.ai/careersSweetgreen protein bowls: https://listenlabs.ai/case-studies/sweetgreenToni Erdmann: https://www.imdb.com/title/tt4048272/Episode with Erik @ Modal: https://www.thespl.it/p/building-ai-native-infrastructureFollow AlfredTwitter: https://x.com/itsalfredwLinkedIn: https://www.linkedin.com/in/wahlforssFollow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Verena Pausder, Vorstandsvorsitzende des Bundesverbands Deutsche Startups, benennt die Lücken, die Deutschland von der nächsten Gründergeneration trennen: fehlendes Risikokapital und zu starrer Kündigungsschutz bei hohen Einkommen. Ihr Befund ist optimistisch, ihr Forderungskatalog konkret: „Wir müssen ein Incentive schaffen, dass privates Kapital in diesen Sektor fließt." [06:11]Judith Dada, General Partner bei Visionaries Club, sieht ebenfalls fehlendes Kapital als das größte Problem. Für große potenzielle Investoren seien die Regeln in Deutschland nach wie vor zu starr. Beim Bau großer KI-Rechenzentren sieht sie Europa im Hintertreffen. [12:48]Ruth Bosse, Gründerin von Art Climate, sagt: „Das allerwichtigste für Startups sind erste Kunden und Kundinnen. Leute, die mutig sind, auch mit neuen Unternehmen zu arbeiten." [15:57]Der Parlamentskreis Mittelstand hat eine neue rote Linie gezogen für die Koalitionsverhandlungen mit der SPD: keine Steuererhöhungen für Spitzenverdiener – obwohl Unionspolitiker im Koalitionsausschuss genau das der SPD bereits angeboten hatten. Woher die bis zu 30 Milliarden Euro für die Entlastung kleiner und mittlerer Einkommen kommen sollen, ist nach wie vor völlig offen. [01:27]Julian Nagelsmann hat seinen WM-Kader bekanntgegeben – und Michael Bröcker hadert mit den Personalentscheidungen. Sein zentrales Problem: Einer der besten Stürmer fehlt seiner Meinung nach im Aufgebot. [23:57]Table.Briefings - For better informed decisions. Sie entscheiden besser, weil Sie besser informiert sind – das ist das Ziel von Table.Briefings. Wir verschaffen Ihnen mit jedem Professional Briefing, mit jeder Analyse und mit jedem Hintergrundstück einen Informationsvorsprung, am besten sogar einen Wettbewerbsvorteil. Table.Briefings bietet „Deep Journalism“, wir verbinden den Qualitätsanspruch von Leitmedien mit der Tiefenschärfe von Fachinformationen. Professional Briefings kostenlos kennenlernen: table.media/testenHier geht es zu unseren Werbepartnern Hol dir deine persönlichen Daten mit Incogni zurück und hol dir 60 % Rabatt auf ein Jahresabo: https://incogni.com/tabletodayImpressum: https://table.media/impressumDatenschutz: https://table.media/datenschutzerklaerungBei Interesse an Audio-Werbung in diesem Podcast melden Sie sich gerne bei Laurence Donath: laurence.donath@table.media Hosted on Acast. See acast.com/privacy for more information.

When Lew Frankfort joined Coach half a century ago, it was a small NYC handbag maker without a single storefront. Frankfort reveals how he scaled the brand into a global icon worth more than 20 billion dollars with a signature blend of “magic and logic”. Lew's memoir is Bag Man. Find it at: https://lewfrankfort.com/Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Eric Ries wrote the book that changed how the entire world builds startups. Now he's back with a more urgent argument: the way we're taught to build companies is quietly turning them against everything that made them worth building in the first place. The creator of The Lean Startup has spent years watching mission-driven founders get fired from their own companies, watching the spark that started everything get extinguished by the very success they worked so hard to create—and he's finally written the blueprint to stop it. In this interview, Eric breaks down the core ideas behind his new book Incorruptible, why your corporate charter was designed to sound boring so you'd ignore it, and how the loyalty of your best customers is the most valuable—and most endangered—asset your business has. What you'll learn in this interview: • Why the metrics you're tracking are actively destroying customer loyalty—and what to measure instead • The IMVU pivot story: how six months of data finally broke through Eric's stubbornness and forced the pivot that saved the company • Why product improvements that don't change customer behavior aren't improvements at all • How to know when it's time to pivot—and why the real problem is never the decision itself but getting your team to agree on the facts • Why DTC brands are systematically burning their most loyal customers with re-acquisition marketing they've already earned • The Saul Price story: how the founder of Fed-Mart was locked out of his own company—and came back to build Costco • Why only 20% of founders are still CEO three years after IPO—and the governance decisions made at founding that cause it • Why your corporate structure was deliberately designed to sound boring so you'll ignore it until it's too late • The two paths every mission-driven founder must master: the path of ethos and the path of integrity • How Novo Nordisk's 100-year-old governance structure—built by a Nobel laureate in the 1920s—accidentally created the most profitable pharmaceutical in history If you're an early-stage founder, a DTC operator who cares about building something that lasts, or anyone who's ever wondered why the companies that start with the most idealism seem to end up the most corrupt, this conversation will fundamentally change how you think about structure, loyalty, and what it actually means to build a company worth protecting. SAVE 50% ON OMNISEND FOR 3 MONTHS Get 50% off your first 3 months of email and SMS marketing with Omnisend with the code FOUNDR50. Just head to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://your.omnisend.com/foundr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to get started. WANT TO GROW YOUR BRAND WITH META ADS? Join the Foundr Operators Waitlist → ⁠⁠⁠⁠⁠⁠https://foundr.com/operators⁠⁠⁠⁠⁠⁠ HOW WE CAN HELP YOU SCALE YOUR BUSINESS FASTER Learn directly from 7, 8 & 9-figure founders inside Foundr+ Start your $1 trial → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com/startdollartrial⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ PREFER A CUSTOM ROADMAP AND 1-ON-1 COACHING? → Starting from scratch? Apply here → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foundr.com/pages/coaching-start-application⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ → Already have a store? Apply here → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foundr.com/pages/coaching-growth-application⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CONNECT WITH NATHAN CHAN Instagram → ⁠⁠⁠https://www.instagram.com/nathanchan⁠⁠⁠ LinkedIn → ⁠⁠⁠https://www.linkedin.com/in/nathanhchan/⁠⁠⁠ CONNECT WITH ERIC RIES Instagram → ⁠https://www.instagram.com/ericriesactual/ LinkedIn → https://www.linkedin.com/in/eries/ Website → https://theleanstartup.com/ FOLLOW FOUNDR FOR MORE BUSINESS GROWTH STRATEGIES YouTube → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/2uyvzdt⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Website → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/foundr/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/foundr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.twitter.com/foundr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/foundr/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Podcast → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com/podcast⁠

If you want to get ahead of 99% of people, stop doing what 99% of people do. As every great founder will tell you, ownership is what builds real wealth. Come to Main Street Millionaire Live to learn how to buy the right business for you: http://info.contrarianthinking.co/msmlbig-dealWhat if everything you've been told about success is backwards? Malcolm Gladwell has spent decades challenging the obvious. He's the bestselling author of The Tipping Point, Outliers, Blink, and David and Goliath, and host of the Revisionist History podcast. In this conversation, he breaks down the counterintuitive strategies that separate the top 1% from everyone else. From why you should be a big fish in a small pond, to why remote work killed his career before it started, to why the best hires don't think anything is hard at all. In this episode, you'll learn: The running partner rule: why your mentor should be one step ahead, not ten How constraints build strength and why too much comfort kills resilience The feedback framework that works: compliment first, then fix, and why you have to customize criticism person by person Choking vs panicking: the two types of leadership failure and why most leaders fail from overconfidence, not incompetence Pulling the goalie: why we wait too long to take the risk that could save us and how to lower the cost of failure Why ideas are cheap, execution is everything, and the muse doesn't exist ___________ (00:00:00) Introduction: The Big Fish, Small Pond Strategy (00:01:06) The Class Rank Advantage: Why Top Third Beats Bottom Third at Harvard (00:04:00) The Running Analogy: Find Your Training Partner One Step Ahead (00:06:05) The Mentor Myth: Why You Don't Need Malcolm Gladwell's Phone Number (00:07:36) Colleges Are Overrated Status Machines: The You Variable (00:09:37) Desirable Difficulties: The Coddling Problem and Building Resilience (00:12:31) The Interview Question You're Asking Wrong: Hardest Thing vs Happiest Thing (00:15:56) The Pleasure Principle: Why Great Workers Love the Work, Not the Break (00:17:01) Remote Work and The Washington Post: Why Malcolm's Career Wouldn't Exist Without the Office (00:20:12) The Feedback Framework: Compliment First, Then Fix (00:35:45) Choking vs Panicking: The Two Types of Leadership Failure (00:37:28) Leadership Depends on Context: The Air Force vs The Startup (00:42:48) Pulling The Goalie: Cliff Asness and The Risk You're Too Scared to Take (00:57:58) Ron Popeil and The Showtime Rotisserie: Marry Invention with Explanation (01:01:08) The Housing Crisis: Why We're Building Wrong and Zoning Ourselves Into Poverty (00:53:04) Ideas Are Cheap, Execution Is Everything: The Muse Doesn't Exist (01:05:24) Closing: The American Way of Killing and What's Next ___________ MORE FROM BIGDEAL

On today's episode, Dr. Mark Costes talks with Dr. Chris Green and Steve Steinbrunner about what it really takes to start or buy a dental practice. They break down the importance of choosing the right location, understanding your market, and surrounding yourself with the right team before making major decisions. The conversation also covers budgeting, lending, construction costs, equipment, marketing, and working capital. Dr. Green and Steve share why a clear financial plan can help doctors avoid expensive mistakes, stay prepared during the startup process, and set the practice up for long-term growth. Be sure to check out the full episode from the Dentalpreneur Podcast! DISCLAIMER:  All opinions expressed by the Provide employee participant are solely their current opinions and do not reflect the opinions of Provide, its affiliates, or Fifth Third Bank. The Provide employee participant's opinions are based on information they consider reliable, but neither Provide, its affiliates, nor Fifth Third Bank warrant its completeness or accuracy and should not be relied upon as such. This content is for informational purposes and does not constitute the rendering of legal, accounting, tax, or investment advice, or other professional services by neither Provide, its affiliates, or Fifth Third Bank. Please consult with appropriate professionals related to your individual circumstances. EPISODE RESOURCES https://www.getprovide.com/get-started?utm_campaign=&utm_source=The-Practice-Launchpad https://www.truedentalsuccess.com Dental Success Network Subscribe to The Dentalpreneur Podcast

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

In this episode of FP&A Unlocked, Paul Barnhurst chats with Derek Baker, the Head of Strategic Finance at Circle, a growth-stage SaaS company. Derek shares insights from his experience in building strategic finance functions, scaling finance teams, and using AI to optimize financial reporting.Derek Baker is the Head of Strategic Finance at Circle, a growth-stage SaaS company focused on building an all-in-one platform for online communities. He has built the Strategic Finance function from the ground up, covering areas like pricing, sales compensation, investor due diligence, and AI-powered financial reporting. Prior to Circle, Derek co-founded The FP&A Hub with Paul Barnhurst and Liran Edelist to support finance professionals. His career spans FP&A roles across SaaS, marketplace, and biotech startups. Expect to Learn:How AI is transforming financial reporting and analysis in FP&A.The role of business partnering in aligning FP&A with strategic decisions.Derek's transition from spreadsheets to AI-driven financial models.How FP&A evolves as companies scale.Here are a few relevant quotes from the episode:“Spreadsheets are great for MVP models, but AI and data warehouses are the future for repeatable, scalable analysis.” – Derek Baker“AI can manage context better than prompts, and this is what drives its power in finance.” – Derek BakerDerek shares that the future of FP&A is all about embracing technology and innovation. He emphasizes that it's no longer just about spreadsheets and traditional methods; it's about leveraging AI and data to drive smarter financial decisions. By focusing on both the strategic and technical sides of finance, professionals can better align with business goals and create more impactful outcomes. Follow Derek:LinkedIn: https://www.linkedin.com/in/derek-d-baker/Website: https://community.thefpahub.com/home Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[00:00] – Introduction & Derek's Background[06:00] – What Does Great FP&A Look Like?[12:00] – Scaling Finance Functions in Startups[17:00] – The Role of AI in FP&A[22:00] – Building an AI-Powered Financial Reporting System[28:00] – Why Data Architecture is Key to AI Success[33:00] – The Future of Financial Modeling with AI[40:00] – Automating Monthly Finance Reports Using AI[45:00] – Data Integration and Financial Modeling for Future Growth[50:00] – Insights on Scaling FP&A Teams in Tech Startups[53:00] – Final Thoughts & Key Takeaways

#357 | Dave sits down with George Bonaci, VP of Growth at Ramp, to talk about what growth actually looks like at one of the most talked-about brands in B2B. George breaks down why Ramp has no CMO and why he thinks that's a feature, not a bug. He makes the case for attention as the new moat when execution gets commoditized, and shares how he went from hardcore attribution obsessive to betting on stunts with no direct attribution. They also get into Project Glass, Ramp's internal AI tool that reads every Slack channel, preps his meetings, and diagnosed a reporting issue in 15 minutes that would have taken two weeks to investigate. And George shares why he thinks marketers now have two jobs: marketing to humans and marketing to machines.Timestamps(00:00) - - George's background: from biochemist to accidental marketer (07:00) - - How marketing is structured at Ramp (no CMO) (09:15) - - Why brand is the growth lever (13:30) - - AI and the death of functional marketing roles (14:45) - - Ramp's hub and spoke model for AI (16:05) - - Building autonomous go-to-market workflows (17:15) - - How the team responded to going agent-first (20:55) - - The J curve of productivity (22:15) - - Are marketing jobs safe? (24:00) - - Marketing to machines: Ramp's two jobs (25:15) - - Offering $3,000 bonuses to AI agents (28:40) - - Project Glass: Ramp's internal AI tool (34:20) - - Attention as the new moat (36:10) - - How to measure attention without direct attribution (41:20) - - Why taste matters more than ever in direct mail and events (42:20) - - How George went from "measure everything" to betting on stunts Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Knak - A no-code, campaign creation platform that lets you go from idea to on-brand email and landing pages in minutes, using AI where it actually matters. Learn more at knak.com/exitfive, or check out the MCP server by clicking this link. Vector - A contact-level ads platform that lets you build audiences from actual people on your site, clicking your ads, and checking out your competitors. Learn more at vector.co, and get on the waitlist for their new MCP server by clicking here. Compound Growth Marketing - A full-funnel demand generation agency that helps high-growth cybersecurity, DevOps, and enterprise software companies drive more pipeline through AI SEO, paid media, and go-to-market engineering. Visit compoundgrowthmarketing.com and tell them Dave sent you.***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Damien Morin a grandi avec une conviction simple, créer.Très tôt, il revend des iPhones importés des États-Unis, les jailbreak et développe une première activité autour de la téléphonie.En 2013, L'iPhone s'impose comme un produit de masse mais aussi comme un objet fragile.Le contexte est idéal pour lancer sa première société à 25 ans : Save.Le marché de la réparation explose et en deux ans, la croissance est fulgurante.Plus de 40 millions d'euros de chiffre d'affaires, 500 collaborateurs et 160 boutiques ouvertes dans plusieurs pays européens.Une trajectoire rare, portée par une exécution rapide et une forte demande.Mais cette hyper croissance cache aussi des fragilités.En 2016, l'entreprise traverse une crise majeure de restructuration.La moitié du réseau est fermée et l'entreprise est finalement revendue en 2017.Mais Damien ne baisse pas les bras et décide de rebondir avec un nouveau projet.Il créé Mobile Club, une société qui propose de la location de smartphones, inspiré du marché américain où le leasing est largement répandu.En France, le défi est culturel.La location est encore perçue comme un manque de moyens, alors qu'elle permet d'accéder à des services et une flexibilité importante.Mobile Club propose une offre intégrée avec remplacement rapide, assurance et gestion complète du cycle de vie du téléphone.L'entreprise se développe rapidement, notamment sur le segment B2B et atteint aujourd'hui environ 34 millions d'euros d'ARR, avec 6 millions d'euros d'EBITDA.Avec un marché estimé à plusieurs dizaines de millions d'appareils, le potentiel reste considérable.Un épisode sur la croissance, les erreurs, la résilience et la capacité à reconstruire après une chute.Bonne écoute !*** BONUS OFFERT PAR MOBILE CLUB ***Mobile Club vous offre 50 euros de remise grâce au code promo LBT50

Are your AI agents truly safe to deploy at scale? In this episode, two founders come together to tackle one of the most urgent questions for every AI startup and enterprise today: how do you build AI systems you can actually trust? Hosted by Preethy Padmanabhan and the 10x Growth Strategies community, this panel brings together Tatyana Mamut (WayFound) and Prukalpa Sankar (Atlan) - two founders redefining how enterprises govern, monitor, and scale AI responsibly. In this episode, we discuss: How supervisor/guardian agents help enterprises reach 3-nines and 5-nines reliability Real-world example: a customer service AI agent secretly offering refunds with perfect guardrails in place Why sampling logs isn't enough and why 100% monitoring is now a legal requirement How the OpenAI and Workday lawsuits are reshaping enterprise AI accountability How to architect AI-ready data systems with lineage, traceability, and explainability built in How enterprises across the US, Germany, and Australia are navigating evolving AI regulation Hybrid deterministic + AI system design for production-grade agents Whether you're an entrepreneur, a corporate executive, or a venture capital investor evaluating AI startup opportunities - this conversation on 10x growth, scaling up, and responsible AI is unmissable. 10X Growth Strategies is a community co-founded by Preethy Padmanabhan, built to bring together founders, investors, and executives for meaningful connection and growth. With thousands of members across LinkedIn, Luma, and Partiful, the community hosts monthly events on timely topics in tech, AI, and entrepreneurship. Chapters 0:00 - 3:32 - Introduction 3:32 - 7:59 - Understanding Enterprise Trust in AI 7:59 - 13:47 - Legal Challenges and Compliance in AI 13:47 - 19:00 - Architecting AI systems for Compliance 19:00 - 21:52 - Benefits of Working with this New Technology 21:25 - 25:21 - Proactive vs Reactive Compliance Strategies 25:21 - 41:35 - Audience Interactions 41:35 - 44:04 - What is your Leadership Principle? Connect:  Website: https://grow10x.podbean.com/ Luma: https://lu.ma/10xgrowthstrategies

During a Y Combinator event on Tuesday night, Sam Altman had what YC partner Tyler Bosmeny called a “mic drop moment.” Altman offered $2 million worth of OpenAI tokens to every startup in the current class in exchange for equity in the startup.In other words, he promised that OpenAI would invest in the whole class, not with cash but with an allotment of AI tokens that startups can use to build their products.

Updated re-release. A year ago we left one question unresolved. Where do foundational AI models end and where do the applications begin? Nick Tippmann returns in a fresh epilogue.  A year on, the tension has only sharpened. Specificity is the differentiator when inches matter. Nick Tippmann, founding partner of TipTop VC, explains how vertical AI is rewriting the software industry by going deeper instead of wider. From the transition beyond SaaS to the gray zone between foundational models and high-stakes applications, we get into how vertical AI can transform laggard industries and why Austin might lead the race.The Agenda00:00 Defining vertical AI05:07 Where general AI fails09:36 Vertical AI software, not just chatbots16:44 Pricing logic after the seat model24:04 Underwriting at pre-seed and seed 27:20 Capital intensity and seed-strapping36:48 TAM analysis and the Frontiers Market example41:46 OpenAI's Instacart hire and the gray zone45:55 Austin as a vertical AI hub58:21 Epilogue: Where the models end and applications beginGuest Links and BiosNick Tippmann, TipTop VCNick Tippmann is the Founder and Managing Partner of TipTop Ventures, an early-stage venture fund focused on Vertical AI. Before becoming an investor, Nick spent nearly a decade as a founding team member and CMO at Greenlight Guru, where he helped scale the company from zero to category leader with more than 250 employees, tens of millions in ARR, and a nine-figure investment from JMI Equity.An operator turned investor, Nick now partners with founders building industry-specific AI and software businesses, bringing hands-on experience in go-to-market strategy, scaling, community building, fundraising, and company development. He has also been an active angel investor since 2021, with more than 100 startup investments. -------------------Austin Next Links: Website, X/Twitter, YouTube, LinkedInEcosystem Metacognition Substack

DIAGNÓSTICO GRATUITO: Descubra qual a defensibilidade do seu SaaS nesse cenário tão incerto, baseado nos 6 eixos que avaliamos SaaS aqui na ACE Ventures:https://encurtador.com.br/ONtZPor que, mesmo com tantas metodologias, livros e frameworks, as startups continuam falhando pelas mesmas razões? Neste episódio, a gente questiona a avalanche de “fórmulas prontas” do universo empreendedor e investiga se esses métodos realmente fazem sentido — especialmente no contexto brasileiro e latino-americano.Pedro Waengertner conversa com Gustavo Brigatto, jornalista experiente e fundador do Startups.com.br, sobre os limites das metodologias tradicionais como Lean Startup, Steve Blank e Blitzscaling. Eles exploram o quanto esses conceitos são replicados sem adaptação à nossa realidade de mercado, cheia de instabilidades, custos altos de capital e desafios regulatórios, destacando também a importância da ambição e da criatividade para empreender de verdade — além de seguir um manual.No papo, você vai encontrar insights como:Por que ninguém nasce sabendo que “tem que ouvir o cliente”A diferença entre lançar um produto no Vale do Silício e no BrasilO papel da “sorte” e do talento que não cabe em planilhaComo o custo inflacionário e a instabilidade impactam as startups por aquiO perigo de dogmatizar metodologias sem olhar o contexto real de cada negócioSe você já se perguntou “será que esse método funciona pra mim?” ou sente que empreender virou um copiar-e-colar sem alma, esse episódio vai ajudar você a pensar fora do script. Dá o play e vem com a gente!Para conferir mais conteúdos,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠acesse nosso site⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!Instagram:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠@aceventuresbr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠ACE Ventures⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠E-mail: ⁠⁠⁠⁠⁠⁠contato@goace.vc⁠⁠⁠

The “Sophomore Slump” narrative is DEAD.

Reaksie word ontvang op die resultate van die StartupBlink Global Startup Ecosystem-indeks wat gemengde uitslae vir Namibië toon. Wêreldwyd het ons agt plekke teruggeval na 94ste toe. In Afrika het die land ook teruggesak uit die top-agt na tiende plek, en in die SAOG-streek het ons tweede plek behou. Terwyl die land se interne beginner besigheid-ekosisteem groei, het intense mededinging van vinniger groeiende globale eweknieë 'n effense daling in die algehele makro-ranglys veroorsaak. Kosmos 94.1 Nuus het met Catherine Shipushu van die Namibië Beleggingsbevordering en Ontwikkelingsraad gepraat.

My guest today is Gavin Baker, founding partner and CIO of Atreides Management, and this is our sixth conversation. The central theme is watts and wafers, the two physical constraints that in Gavin's view will dictate the next phase of AI. On power, he thinks the near-term shortage starts to ease in 2027 and 2028 as new sources of energy come online, and that orbital compute solves it in the long term. On wafers, he explains what is different this time from the dotcom bubble and why TSMC's capacity decisions may be the single most important variable to watch. We also discuss Elon's Terrafab, the disaggregation of GPUs, the role of new chip companies, and whether the economic value of AI will keep accruing to frontier models. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:29) Gavin Baker Intro (00:03:32) Anthropic's Record ARR Growth (00:11:49) Should OpenAI and Anthropic Raise at a Much Higher Valuation? (00:13:23) How Elon Preserves Investor Trust (00:14:00) Watts & Wafers (00:15:45) Data Centers in Space Explained (00:20:51) Orbital Compute's Impact on Terrestrial Data Centers (00:26:24) TSMC Supply Discipline & Bubble Risk (00:30:50) Demand for Frontier Tokens & The Bitter Lesson (00:35:33) Continual Learning & Memory (00:40:01) New Chip Companies & Startups (00:42:49) Prefill vs. Decode Disaggregation (00:48:40) AI-Native Founders: Different & Hard (00:51:27) Token Path & Application Layer (00:56:13) How Gavin Uses AI in Atreides (01:00:06) Signs of a Diversity Breakdown (01:05:42) Google, Meta, Amazon, Microsoft (01:11:42) Broader Knock-On Effects of AI

This Week In Startups is made possible by:Grasshopper Bank - https://grasshopper.bank/twistLinkedIn - https://linkedIn.com/twistNorthwest Registered Agent - https://northwestregisteredagent.com/twistPlaud - https://Plaud.ai/twist Why raise $200 million if you are already profitable? That's the question Jason and Alex put to Mercury's founder and CEO, Immad Akhund, after the entrepreneur raised another massive round for his upstart, technology-friendly bank. TWiST then welcomed Kled founder Avi Patel to discuss the startup he considers a clear ripoff of his own company. Jason gavels in verdicts on all parties involved, including Y Combinator and venture capital firm General Catalyst. The show closes with a news lightning round, including OpenAI's decision to offer $2 million in token credits to hundreds of startups.Guest Links:Mercury https://mercury.comMercury funding announcement https://www.businesswire.com/news/home/20260520511817/en/Mercury-Raises-$200-Million-Series-D-at-$5.2B-ValuationImmad Akhund on X https://x.com/immadKled https://www.kled.ai/Avi Patel on X https://x.com/avipat_/Avi's complaint https://x.com/avipat_/status/2055384102409253056General Catalyst https://www.generalcatalyst.com/Y Combinator https://www.ycombinator.com/Delve https://techcrunch.com/2026/04/23/another-customer-of-troubled-startup-delve-suffered-a-big-security-incident/Discussion links:Anthropic's attack on secondary trading https://techcrunch.com/2026/05/12/anthropic-warns-investors-against-secondary-platforms-offering-access-to-its-shares/Vanta https://www.vanta.com/twistTimestamps:0:00 Welcome to This Week in Startups!2:14 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at https://Plaud.ai/twist and use code TWIST for 10% off!3:27 Immad Akhund (Mercury) joins to discuss $200M raise6:33 Mercury's origin story and path to $650M run rate9:53 Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at https://northwestregisteredagent.com/twist14:23 Stablecoins: where they work, why Mercury won't launch its own20:13 LinkedIn - Thanks to our partners at LinkedIn! Post your job for free at https://linkedIn.com/twist then promote it to get access to LinkedIn Jobs' new AI assistant.22:38 AI agents, and the future of money movement27:30 Why Mercury raised less this round30:11 Grasshopper Bank - Time is money. Don't waste either. Go to https://grasshopper.bank/twist and get an exclusive $500 cash bonus just for opening an account.42:48 Avi Patel (Kled) joins to discuss copycat startups57:06 Jason's verdict on YC's hacker culture & "appearance of impropriety"1:17:39 Sam Altman's $2M-in-tokens-for-equity offer to YC founders1:24:32 NYC hotel housekeepers cross $100K in time under new union contract1:30:14 Minimum wage, immigration & the case for raising it slowlySubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisCheck out all our partner offers: https://partners.launch.co/Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

Dan Nathan sits down with Lux Capital partner Shahin Farshchi and AI investor Ann Bordetsky from the RBC Private Tech Conference to explore what comes after ChatGPT — and where the next wave of AI is headed. From defense, robotics, semiconductors, and space infrastructure to AI agents, enterprise software, and the future of work, these conversations break down the technologies, companies, and trends shaping the next decade. They also discuss trillion-dollar valuations, venture capital, hyperscalers, and what separates breakout AI winners from the rest. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

What does it actually mean to build an AI-native company? In this episode of Fund/Build/Scale, I talk with True Ventures Managing Partner Puneet Agarwal and Gather CEO/co-founder Mayank Mehta about how the startup evolved from an AI-powered customer feedback idea into a broader research and content platform for marketing teams. We get into founder conviction before product-market fit, what investors actually look for when there's little external signal, how the company reshaped its go-to-market strategy after realizing the original motion wasn't working, and why Mayank rebuilt major parts of the business around AI workflows in real time. There's also a very tactical discussion about customer discovery, early hiring, AI-native operations, and a weekend growth experiment that produced more meetings in two weeks than the previous year of outbound efforts combined. RUNTIME 51:33 EPISODE BREAKDOWN 03:18 What True Ventures Looks For at Seed 07:00 What Gather Actually Does 11:42 The Five-Slide Seed Pitch 17:21 What They Got Wrong Early 21:06 Rebuilding the Company Around AI 33:53 The Weekend GTM Experiment That Changed the Company 36:56 How Investors Read Founders Who Don't Have Signal 41:15 Tactical Advice for First-Time Founders 49:18 One Experiment Founders Can Run This Week LINKS Puneet Agarwal Mayank Mehta Gather True Ventures Gather Growth Platform SUBSCRIBE

Jasper Deprez is building TerraSpark, a company focused on space-based solar power - with the goal of delivering commercial energy from space to Earth by 2030.Before this, he spent a decade bootstrapping a startup in employee engagement.In this conversation, we explore:- The future of space-based solar power- Building deep tech startups with startup speed- How to break impossible visions into executable steps- The role of communication and trust inside founder teams- Why most startups accidentally become “science projects”- The framework TerraSpark uses to operateA fascinating conversation about ambition, execution, and building things that sound impossible.More from James:Connect with James on LinkedIn or at peer-effect.com 

In this episode of the Ardan Labs Podcast, Ale Kennedy talks with Eugene Cheah, founder of Featherless, about his journey from physics to building globally accessible AI systems. Eugene shares his vision for making AI more affordable, multilingual, and open to communities around the world through efficient architectures and open-source collaboration.The conversation explores GPU optimization, evolving AI infrastructure, the importance of multilingual support, and the balance between innovation and regulation. Eugene also reflects on speaking at the United Nations, the future of open-source AI, and why accessibility and transparency are essential for the next generation of AI technology.00:00 Introduction and Featherless02:25 Education and Early Interests10:24 University and Military Service15:19 Entering the AI Industry22:33 Startups and AI Development30:42 AI as a Force for Good34:28 AI, Culture, and Automation42:13 Fundraising and Building a Startup50:10 AI Architecture and Optimization58:23 The Evolution of Featherless01:02:37 Building a Global AI Vision01:06:57 Open Source and AI Accessibility01:12:35 AI Risks and Real-World Concerns01:18:20 Lessons Learned and Final ThoughtsConnect with Eugene: LinkedIn: https://www.linkedin.com/in/eugene-cheah-a47791126/Mentioned in this Episode:Featherless AI: https://featherless.ai/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

Robotaxis are multiplying across American cities… But are consumers actually ready to trust them? Zoox CEO Aicha Evans joins Rapid Response to talk about the company's strategy as an Amazon subsidiary, its intensifying rivalry with Waymo, and why a new partnership with Uber could be the key to getting autonomous rides from novelty to scale. Evans also reveals why she recruits what she calls an “invisible army of rebels” inside Zoox, and what Marie Curie and Nelson Mandela have to do with leading through uncertainty.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on Catalyst, Caleb Knight joins Tammy in the Catalyst podcast booth, recording live from NTT Research's Upgrade event. Caleb is the Director Of AI TechX, Industry Partnerships and Economic Development at the University of Tennessee, Knoxville. Together they explore the reality of AI in the workforce; reframing the conversation around job displacement into job creation and opportunities.They dive into how the University of Tennessee is working with a variety of industry partners to empower the next generation entering the workforce, how this translates across industries and fields, and how being a lifelong learner is the way forward! Please note that the views expressed may not necessarily be those of NTT DATALinks: Caleb Knight AI TECHX Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Robotaxis are multiplying across American cities… But are consumers actually ready to trust them? Zoox CEO Aicha Evans joins Rapid Response to talk about the company's strategy as an Amazon subsidiary, its intensifying rivalry with Waymo, and why a new partnership with Uber could be the key to getting autonomous rides from novelty to scale. Evans also reveals why she recruits what she calls an “invisible army of rebels” inside Zoox, and what Marie Curie and Nelson Mandela have to do with leading through uncertainty.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Michelle Wyatt has replayed the events in her mind countless times, looking for warning signs she might have missed. But even now, she can't find any. Both employees had passed background checks and drug tests. Both were considered trusted, valued members of the team. And yet, within a span of months, two violent incidents involving employees left Michelle and her company reeling. In this week's conversation, Michelle joins Jay Goltz, who has dealt with employee violence in his own business, and special guest Sandy Kapell, who's made a career leading human resources, to wrestle with a question that haunts a lot of business owners: How much responsibility can you reasonably bear for the actions of your employees?The discussion goes beyond hiring practices and background checks. Michelle talks candidly about the grief her team experienced, the guilt of wondering whether she should have seen something sooner, the relief that the violence didn't occur aboard her riverboat cruise ship, and the unsettling realization that no amount of experience truly prepares you for something like this. “Please stop torturing yourself,” Jay tells Michelle. “From what you've said, there's just nothing you could have done about this. It's part of business, unfortunately.”

Vanguard is the most effective vehicle ever created for participating in the fruits of American capitalism. Today it's the single largest equity owner of the majority of corporations in the S&P 500, on behalf of 50 million clients (including, likely, many of you). And yet Vanguard itself is essentially a communist organization — it has no shareholders, makes no profits, and operates more like REI than Fidelity. If you own a Vanguard fund, you own a piece of the firm itself. Any excess margin instead gets returned to clients in the form of lower fees, which since 1975 have added up to roughly five hundred billion dollars transferred out of Wall Street managers' pockets and into retail investors' savings accounts. And oh yeah, it all started as a cockamamie revenge plot by a guy who'd just been fired by his partners. Today we tell the story of communist capitalism at its finest — Vanguard.Sponsors:Many thanks to our fantastic Spring '26 Season partners:J.P. MorganWeAreDevelopers eventServiceNowVercelStatsigLinks:Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!Our Vanguard "episode preview" in WSJStay the Course: The Story of Vanguard and the Index Revolution by John C. BogleThe Bogle Effect by Eric BalchunasWorldly Partners' Multi-Decade Vanguard StudyWorldly Partners' Article Generational Investing: The Discipline Behind 100+x OutcomesAll episode sourcesCarve Outs:Our WSJ pieces on Ferrari and VanguardMacBook Pro M5 MaxMichael MacKelvie on YouTubeThe Super Mario Galaxy MovieBrooks Vanguard sneakersMore Acquired:Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:41 Intro00:05:30 Jack Bogle's Early Life & Family Ruin (1929)00:12:34 Princeton Thesis & Mutual Funds Emerge (1949-1951)00:27:20 Joining Wellington Management (1951)00:30:38 The Go-Go Years & Fidelity's Ascent (1958-1965)00:40:36 Jack Takes the Reins & The Ivest Merger (1965)00:46:04 The Go-Go Bust & Jack's Crisis of Conscience (1970-1973)00:53:28 Jack is Fired: The Genesis of Vanguard (1974)01:13:03 The Journal Article That Inspired It All (1974-1976)01:35:02 Building the Fund & Early Struggles (1976-1981)01:44:32 The Rise of Indexing & Vanguard's Growth (1988-1992)01:49:06 Jack's Health & The CEO Transition (1995-1996)02:00:06 The ETF Debate & Jack's Second Firing (1999)02:24:18 The 2008 Financial Crisis: Vanguard's Moment02:30:46 The Warren Buffet Bet (2008-2019)02:41:28 Fidelity & BlackRock's Resurgence (Post-2008)02:52:04 Salim Ramji: Vanguard's First Outside CEO03:04:43 Wellington's Comeback & Mutual Ownership03:08:23 Analysis03:30:58 Quintessence03:39:35 Carve-Outs + Outro‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

Founder quality becomes more important as startups become easier to build.Trae Stephens, co-founder of Anduril and partner at Founders Fund, has spent years backing founders with strong conviction, including most recently at Roadrunner.He shares why too much capital too early can hurt startups, and why the best companies are built by teams with complementary strengths.Guest: Trae Stephens, co-founder, Anduril and Partner, Founders FundConnect with Trae StephensXLinkedInConnect with Joubin:XLinkedInEmail: grit@kleinerperkins.comFollow Grit on LinkedInFollow Grit on X​Learn more about Kleiner Perkins

Jerzy Gregorek (@TheHappyBody) is a 4x World Weightlifting Champion, co-founder of UCLA's weightlifting team, and co-creator, with his wife Aniela, of the Happy Body program. You can watch the documentary Prisoner No More, directed by Jeff Wolfe and produced by WolfePrideProductions.com, for free here: tim.blog/hardchoices. To fill out the form on Cerebral Palsy Research Project, visit tim.blog/cp.This episode is brought to you by:Matic the intelligent robot vacuum and mop that navigates obstacles and needs no babysitting: MaticRobots.com/TimOur Place's Titanium Always Pan® Pro using nonstick technology that's coating-free and made without PFAS, otherwise known as “forever chemicals”: FromOurPlace.com/TimTimestamps[00:00:00] Start.[00:01:29] The transformation I've been chasing for a decade.[00:02:39] When an unstoppable coach meets an immovable cerebral palsy diagnosis.[00:04:35] Three pounds to 170: the bench press that woke a brain up.[00:07:17] Navigating autism and building the basics of communication that sustain higher education.[00:10:41] Treadmills exhaust, athletes progress: why physical therapy stalled where coaching took off.[00:19:00] Lethargy, sleeping in the car, and the quiet power of resting energy.[00:20:22] The 16-inch box that opened the bathroom door — and everything after.[00:24:26] Micro-progressions, certificates, ceremonies, and writing history onto a blank brain.[00:29:16] Parental dedication and appreciation.[00:31:54] The adulthood gambit: quit piano, quit training — if you can stick an 18-inch jump.[00:35:14] License plates as the gateway drug from counting to math five hours a day.[00:40:04] Jerzy's coaching style doesn't court approval.[00:42:42] Genghis Khan vs. Admiral Yi Sun-Sin vs. Jerzy vs. Tae Jin.[00:46:35] In search of the science behind such transformations: 25 patients, five years, and a method built to be replicated (interested researchers, visit tim.blog/cp).[01:05:39] Hard choices, easy life — and the call to find your starting point.*For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast.For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsorsSign up for Tim's email newsletter (5-Bullet Friday) at tim.blog/friday.For transcripts of episodes, go to tim.blog/transcripts.Discover Tim's books: tim.blog/books.Follow Tim:Twitter: twitter.com/tferriss Instagram: instagram.com/timferrissYouTube: youtube.com/timferrissFacebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferrissSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.