Podcasts about Venture

Katelin Holloway is a Founding Partner at Seven Seven Six, a technology-focused venture firm backing great early-stage entrepreneurs that she started with Alexis Ohanian in 2020. Alexis was a past guest on the show, and that conversation is replayed in the feed. Katelin and I explore the intersection of human capital and venture capital. We cover her upbringing, work alongside Steve Jobs at Pixar, and turnaround of Reddit with Alexis. We then turn to the application of her operational experience to venture investing. We discuss 776's sourcing and underwriting of founders, interviewing approach, investment selection, and scaling the highly personal approach it takes to add value to portfolio companies. Learn more about our Strategic Investments: Old Well Labs.   Learn More Follow Ted on Twitter at @tseides or LinkedIn Subscribe to the mailing list Access Transcript with Premium Membership   Editing and post-production work for this episode was provided by The Podcast Consultant (⁠https://thepodcastconsultant.com⁠)

Few founders have seen Silicon Valley from every seat at the table.After co-creating Google Maps at Google, serving as CTO at Facebook, and later as co-CEO of Salesforce, Bret Taylor is now building AI agents at Sierra to redefine customer experience.On Grit, he explains why “competitive intensity” is a core value at their fast-growing company and why he believes AI won't lead to a world where people stop working.Guest: Bret Taylor, co-founder of SierraConnect with Bret XLinkedInConnect with JoubinXLinkedInEmail: grit@kleinerperkins.comFollow GritLinkedInX​Learn more about Kleiner Perkins:https://www.kleinerperkins.com/

S5:E218 David delivers The Weekly Update in Venture and previews the upcoming  interview with Scott Pancoast, Executive Chairman of Atticus Pharma. He outlines Atticus's plan to disrupt Immunodermatology with 2 innovative drug formulations using a drug platform model to spin out IP protected drugs while continuing to grow the platform model. (recorded 3.8.26)Follow David on X at https://x.com/DGRollingSouth Connect On LinkedIn with David at https://www.linkedin.com/in/davidgrisell/ Follow Paul on X at https://x.com/PalmettoAngel Connect On LinkedIn with Paul at https://www.linkedin.com/in/paulclarkprivateequity/ We invite your feedback and suggestions at www.ventureinthesouth.com or email david@ventureinthesouth.com.

Greg Carroll aka the Gregulator sits on my couch as we discuss old and new tales from a skateboard based life. Our first ever guest at our home studio; Greg Carroll and Schmitty go way back. Talking about the industry, the early days skating EMB, skating for H-Street, Chris Cook at Devils Pit, getting the job at Venture and redesigning the trucks, starting Think Skateboards with Keith and Fish, the beginning and end of Empire Dist., working for his brother(Mike Carroll), P.E.A.C.E. Academy, and of course The Legend of Phil Shao and so much more. Recorded: January 23, 2026 SUBSCRIBE NOW: https://bit.ly/2RYE75F INTRO MUSIC: "Mary's Cross" by Natur INTERVIEW & EDITED: Greg "Schmitty" Smith CREDITS MUSIC: “Adirondack gate” by Shane Medanich CLOSING MONOLOGUE: Noelle Fiore EXECUTIVE DIRECTOR: Sharal Camisa Smith SMFM MUSIC DIRECTOR: Shane Medanich http://www.instagram.com/onsmfm SMFM GUEST BAND: SKANK NO.9 (www.instagram.com/SkankNo9) WEBSITE: https://talkinschmit.com/ YOUTUBE: http://www.youtube.com/TalkinSchmit INSTAGRAM: @Talkin_Schmit FACEBOOK: https://www.facebook.com/TalkinSchmit/ CONTACT with comments or suggestions: TalkinSchmit@Gmail.com SUPPORT OUR SPONSORS: BLOOD WIZARD (http://bloodwizard.com/) BLUE PLATE (http://www.blueplatesf.com/) ORO COFFEE (http://www.instagram.orocoffeeroasters_sf #skateboarding #podcast #talkinschmit #GregCarroll #thinkskateboards  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Life is a use-it-or-lose-it situation, says our speaker. Shouldn't you try to spend it doing something you love? Venture capitalist Bill Gurley has set out to teach people his ideas for how to find your dream job and avoid a career you'll regret.  For lots of young people, career paths feel like conveyor belts—the next test, the next application, the next college—without a pause to ask what they really want to do with their lives. After Gurley went to college, he landed a job at a famous tech company. A dream job, right? But he was bored, so he took a chance and leapt into the unknown, eventually finding his place in the world of venture capital.  Such a result is rare. He says nearly six in ten people would do things differently if they could start over. So how can you avoid career regret? What can people at the top of their fields teach you about loving what they do? Gurley has assembled six principles to flourish in your chosen career, and he has explained it all in his new book Runnin' Down a Dream. Learn more about your ad choices. Visit megaphone.fm/adchoices

Greg Carroll aka the Gregulator sits on my couch as we discuss old and new tales from a skateboard based life. Our first ever guest at our home studio; Greg Carroll and Schmitty go way back. Talking about the industry, the early days skating EMB, skating for H-Street, Chris Cook at Devils Pit, getting the job at Venture and redesigning the trucks, starting Think Skateboards with Keith and Fish, the beginning and end of Empire Dist., working for his brother(Mike Carroll), P.E.A.C.E. Academy, and of course The Legend of Phil Shao and so much more. This one got extended so we cut it into two episodes so be sure to look for part two after you listen to this one. -------------------------------------- SUBSCRIBE NOW: https://bit.ly/2RYE75F --------------------------------------- INTRO MUSIC: "Mary's Cross" by Natur INTERVIEW & EDITED: Greg "Schmitty" Smith CREDITS MUSIC: “Adirondack gate” by Shane Medanich CLOSING MONOLOGUE: Noelle Fiore EXECUTIVE DIRECTOR: Sharal Camisa Smith SMFM MUSIC DIRECTOR: Shane Medanich http://www.instagram.com/onsmfm WEBSITE: https://talkinschmit.com/ YOUTUBE: http://www.youtube.com/TalkinSchmit INSTAGRAM: @Talkin_Schmit FACEBOOK: https://www.facebook.com/TalkinSchmit/ CONTACT with comments or suggestions: TalkinSchmit@Gmail.com SUPPORT OUR SPONSORS:BLOOD WIZARD (http://bloodwizard.com/) BLUE PLATE (http://www.blueplatesf.com/) ORO COFFEE (http://www.instagram.orocoffeeroasters_sf #ThinkSkateboards #GregCarroll #podcast #talkinschmit #PhilShao  #SanFrancisco Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Venture into the shadowy realms of power and secrecy with Already Dead, where hosts Jose Galison (@towergangjose) and Austin Picard (@theatrethugawp) dissect the intricate web of conspiracy, covert operations, and the underlying political machinations that might just be pulling the strings of our society.What to Expect: Live Listener Interaction: Call in to share your theories, ask burning questions, or discuss personal experiences related to the topics at hand. In-Depth Explorations: Each episode focuses on a different conspiracy or hidden aspect of political history, offering a platform to question and analyze what's often left unsaid. Thought-Provoking Guests: We invite individuals with insider knowledge or those who've taken the red pill to discuss topics that range from the fringe to the forefront of conspiracy culture. Critical Analysis of Current Affairs: We don't just report on events; we interpret them through the lens of parapolitics, looking for patterns and hidden agendas.Join Us: Every Tuesday at 9:30 PM ET, dive into the depths of the unknown with us. Subscribe, participate in our live call-ins, and be part of a community that seeks to understand the world beyond the surface narrative.Disclaimer: This podcast thrives on speculation, hypothesis, and the examination of alternative theories. It's meant to provoke thought and encourage personal research. Not all discussed is proven fact, but rather a call to question, explore, and understand.Warning: For those not ready to challenge their worldview, tread carefully. Once you enter the world of Already Dead, you might find that the truth is often already dead to the uninitiated. Welcome aboard, where curiosity is your guide.Please consider supporting our work-Brad's Patreon: https://www.patreon.com/posts/subscriber-only-122596428Brad's Website: https://www.propagandafight.com/Brad's Linktree: https://linktr.ee/bradbinkleyBrad's X Account: https://x.com/freedomactradioAustin's Patreon: https://www.patreon.com/c/TheUnderclassPodcastAustin's Spreaker: https://www.spreaker.com/podcast/the-underclass-podcast--6511540Austin's Rumble: https://rumble.com/user/TheUnderclassPodcastAustin's YouTube: https://www.youtube.com/@TheUnderclassPodcast#AlreadyDead #IranWar #OperationEpicFury #CostofWar #CivilianCasualties #FogofWar #AntisemitismJustification #PubliclyIncitingHatred #DystopianPretext #InfluencerIndustrialComplex #ModernMockingbird #EpsteinDepositions #PizzaGate #Frazzledrip #EpsteinsProstate #BodySubstitutionTheory #KanakukKamps #ShawnRyan #DefamationIntimidation #RestrictiveNDAsBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-underclass-podcast--6511540/support.

This conversation delves into the $80 million fund launched by Draper Dragon and the Cardano Foundation to boost ecosystem projects on the Cardano blockchain. The discussion covers the fund's structure, investment strategies, governance mechanisms, and the importance of community engagement. Key insights include a breakdown of investments by category, the role of equity investments in startup acceleration, and the establishment of a transparent public dashboard for accountability. The conversation emphasises the need for professional management in venture funding to ensure sustainable growth and support for Cardano projects.TakeawaysThe $80 million fund aims to enhance Cardano's ecosystem.Draper Dragon has a strong background in digital asset investments.The fund will operate in tranches to manage capital deployment effectively.Direct investments will focus on Cardano native companies.Equity investments will be made in startup acceleration programs.A public dashboard will track fund performance and ecosystem impact.Governance will involve community oversight through a special purpose vehicle.The fund aims to return capital to the treasury and support ecosystem growth.Community feedback has shaped the proposal's final structure.Professional management is crucial for successful venture funding.Chapters00:00 Introduction to the $80 Million Fund05:52 Understanding Draper Dragon's Role11:18 Investment Structure and Tranche Breakdown15:40 Equity Investments and Startup Acceleration20:56 Governance and Accountability Mechanisms25:07 Performance Metrics and Community Protections30:09 Draper University and Ecosystem Development35:23 Final Thoughts and Community SupportDISCLAIMER: This content is for informational and educational purposes only and is not financial, investment, or legal advice. I am not affiliated with, nor compensated by, the project discussed—no tokens, payments, or incentives received. I do not hold a stake in the project, including private or future allocations. All views are my own, based on public information. Always do your own research and consult a licensed advisor before investing. Crypto investments carry high risk, and past performance is no guarantee of future results. I am not responsible for any decisions you make based on this content.

Scott Stirrett is a social entrepreneur, author, and advisor focused on how people and communities grow and thrive in a volatile world. He founded Venture for Canada in 2013 and spent more than a decade building it into a national platform that helps early career professionals develop the skills, networks, and judgment to move forward in messy, fast changing conditions. Venture for Canada has supported more than 10,000 young people and raised over $80 million, working with partners including Employment and Social Development Canada, RBC Foundation, TD Bank, and Mastercard. Stirrett is the author of The Uncertainty Advantage, published by Dundurn Press, which offers research-backed strategies to make better decisions, bounce back from setbacks, and build career skills that AI cannot replace. The book has been endorsed by Eric Ries, Sukhinder Singh Cassidy, Amanda Lang, and Michele Romanow. Click here to take Scott's quiz to Discover Your Uncertainty Advantage. Click here to connect with Scott on LinkedIn.

Early in his career, Intekhab Nazeer found himself sitting in go-to-market meetings rather than finance reviews. A CFO mentor had pushed him beyond traditional accounting responsibilities, exposing him to pipeline discussions and sales forecasting. That experience changed how he viewed finance leadership. Instead of simply reporting financial results, he began understanding “how pipeline is generated, how deal flow is measured, how the forecasting really works,” Nazeer tells us. The exposure reshaped his perspective, shifting his mindset from reporting outcomes to influencing them.The shift became even more real when he stepped into an interim CFO role after his mentor moved on. Responsibility changed overnight. “I was no longer supporting decisions. I was making decisions,” Nazeer tells us, describing board meetings, capital allocation choices, and the balancing act between growth and risk.Throughout his career, he continued to place finance alongside operations rather than apart from them. At one venture-backed company, that mindset proved critical. Revenue targets were being met, yet something felt wrong. When Nazeer overlaid unit economics—customer acquisition cost, payback period, and expansion revenue—he discovered the company was optimizing growth while quietly locking in unprofitable customer behavior, he tells us.The response required collaboration rather than spreadsheets alone. He worked with sales and product leaders to redefine the ideal customer profile, adjust pricing discipline, and elevate metrics like payback period and the “magic number” into core operating indicators, he tells us.The experience reinforced a lesson he carries today: the CFO role is “far less about spreadsheets and more about psychology,” Nazeer tells us. Precision creates accuracy, but influence creates outcomes.

In venture capital, credibility is often framed around access, networks, and pattern recognition. This episode challenges that foundation by asking a harder question: what if the industry's biggest blind spot is also its most persistent source of mispriced opportunity?My guest this week is Sharon Vosmek, CEO and Managing Partner of Astia. With more than two decades of early-stage investing experience, Sharon has built one of the most structured bias-mitigation processes in venture through Astia's Expert SIFT methodology. A documented and disciplined system designed to eliminate individual, network, and process bias from investment decisions.Sharon explains why the gender gap in venture funding is better understood as a market inefficiency, and how removing warm-introduction gatekeeping meaningfully expands high-quality deal flow. We also discuss:  How to recognize and eliminate pattern-matching bias in investment decisionsThe alpha thesis: Why inclusive teams generate 4x average returnsHow to reframe impact investing in the U.S. market by emphasizing values-based returnsThis conversation examines inclusive investing not as concessionary capital, but as a rigorous venture discipline designed to capture overlooked alpha.Featured GuestSharon Vosmek, CEO & Managing Partner, AstiaEpisode Resources:Sharon Vosmek on LinkedInAstia WebsiteAstia on InstagramAstia 25th Anniversary White PaperPrevious SRI360 episode with Sharon Vosmek: Connect with SRI360°: Sign up for the free weekly Email Update Visit the SRI360° PODCAST Visit the SRI360° WEBSITE Follow SRI360° on XFollow SRI360° on FACEBOOK 

This week on The Brief Sahiba Chada is joined by architect Jeremy Walker. Jeremy is the Head of Design at Human Nature, a property developer currently working on the construction of the UK's largest timber-structure neighbourhood: the Phoenix development in East Sussex. Together they discuss:Retail giant John Lewis winds up its housebuilding arm amid economic woes // The London Assembly argues Londoners want more traditional-looking homes // The Royal Institution of British Architects calls for the abolition of the Architects Registration Board // And… raising the profile of women architects and designers… we discuss the winners of the 2026 Jane Drew and Ada Louise Huxtable prizesSubscribe to the Open City Podcast on Spotify, Soundcloud or iTunesThe Open City Podcast is supported by Bloomberg Connects, the free arts and culture platform and produced in association with the Architects' Journal, London Society, C20 Society and Save Britain's Heritage.The Open City Podcast is recorded and produced at the Open City offices located in Bureau. Bureau is a co-working space for creatives offering a new approach to membership workspace. Bureau prioritises not just room to think and do, but also shared resources and space to collaborate. Hosted on Acast. See acast.com/privacy for more information.

AI is no longer a future bet — it's a board-level mandate. But for corporate innovation leaders, the real question isn't whether to invest in AI… it's how to turn AI from experimentation theater into measurable enterprise value. Taylor Black, Director of AI & Venture Ecosystems in Microsoft's Office of the CTO, works at the intersection of AI strategy, venture ecosystems, and internal venture building. Taylor brings a rare dual perspective: enterprise AI leadership inside one of the world's largest technology companies — combined with firsthand startup-building experience. We unpack how AI takes impossible problems and makes them merely difficult, how this growth mindset of hyper abundance is paired with the enterprise rigor and the internal velocity needed to scale.

This week on Swimming with Allocators, Earnest and Alexa welcome Iliana Oris Valiente, a F500 corporate executive, independent LP,   and founder of the Capital Decoded program, to explore the evolving landscape of venture capital. Iliana shares insights from her global background, discusses why generalists excel in the AI era, and outlines the challenges next-gen family offices face when entering VC. The conversation also covers the importance of clear investment thesis, trends in emerging markets, and the critical need for trust and education between GPs and LPs. Listeners will gain practical frameworks and actionable advice for navigating today's rapidly changing investment world. Also, don't miss Sidley's Shane Goudey discussing current trends in venture capital fundraising, with an emphasis on where LP investment is coming from and the growing interest in co-investment opportunities. Iliana Oris Valiente, CPA, CA  is an accomplished corporate executive, emerging tech pioneer, board member, author, and global citizen. She is a recognized media figure, having been featured from Bloomberg to The Financial Times, across TV and print.  Iliana is an angel investor, fund LP, and regularly advises family offices on emerging trends. She built Capital Decoded — an investor education program specifically designed to demystify VC as an asset class. Learn more at IlianaOV.com  Sidley Austin LLP is a premier global law firm with a dedicated Venture Funds practice, advising top venture capital firms, institutional investors, and private equity sponsors on fund formation, investment structuring, and regulatory compliance. With deep expertise across private markets, Sidley provides strategic legal counsel to help funds scale effectively. Learn more at sidley.com. Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies.  The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only. Learn more about your ad choices. Visit megaphone.fm/adchoices

Venture into the shadowy realms of power and secrecy with Already Dead, where hosts Jose Galison (@towergangjose) and Austin Picard (@theatrethugawp) dissect the intricate web of conspiracy, covert operations, and the underlying political machinations that might just be pulling the strings of our society.What to Expect:Live Listener Interaction: Call in to share your theories, ask burning questions, or discuss personal experiences related to the topics at hand.In-Depth Explorations: Each episode focuses on a different conspiracy or hidden aspect of political history, offering a platform to question and analyze what's often left unsaid.Thought-Provoking Guests: We invite individuals with insider knowledge or those who've taken the red pill to discuss topics that range from the fringe to the forefront of conspiracy culture.Critical Analysis of Current Affairs: We don't just report on events; we interpret them through the lens of parapolitics, looking for patterns and hidden agendas.Join Us: Every Tuesday at 9:30 PM ET, dive into the depths of the unknown with us. Subscribe, participate in our live call-ins, and be part of a community that seeks to understand the world beyond the surface narrative.Disclaimer: This podcast thrives on speculation, hypothesis, and the examination of alternative theories. It's meant to provoke thought and encourage personal research. Not all discussed is proven fact, but rather a call to question, explore, and understand. Warning: For those not ready to challenge their worldview, tread carefully. Once you enter the world of Already Dead, you might find that the truth is often already dead to the uninitiated. Welcome aboard, where curiosity is your guide.Please consider supporting my work- Patreon- https://www.patreon.com/nowayjose2020Only costs $2/month and will get you access to episodes earlier than the public No Way, Jose! Rumble Channel- https://rumble.com/c/c-3379274 No Way, Jose! YouTube Channel- https://youtube.com/channel/UCzyrpy3eo37eiRTq0cXff0gMy Podcast Host- https://redcircle.com/shows/no-way-joseApple podcasts- https://podcasts.apple.com/us/podcast/no-way-jose/id1546040443Spotify- https://open.spotify.com/show/0xUIH4pZ0tM1UxARxPe6ThStitcher- https://www.stitcher.com/show/no-way-jose-2Amazon Music- https://music.amazon.com/podcasts/41237e28-c365-491c-9a31-2c6ef874d89d/No-Way-JoseGoogle Podcasts- https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tL2ZkM2JkYTE3LTg2OTEtNDc5Ny05Mzc2LTc1M2ExZTE4NGQ5Yw%3D%3DRadioPublic- https://radiopublic.com/no-way-jose-6p1BAO Vurbl- https://vurbl.com/station/4qHi6pyWP9B/Feel free to contact me at thelibertymovementglobal@gmail.com

Math doesn't have to be intimidating, especially when it's the kind that helps fund companies and move science forward. In this episode, host Elaine Hamm, PhD, is joined by Isaiah Reeves, PhD, Biomedical Analyst at Solas BioVentures, for a practical and approachable deep dive into venture math. Drawing on his background as a scientist turned investor, Isaiah breaks down the core financial concepts every biotech founder should understand: from valuations and dilution to IRR, cap tables, and deal terms. The conversation offers real-world guidance for navigating fundraising, choosing the right partners, and avoiding common pitfalls that can derail long-term value creation. In this episode, you'll learn: How venture capitalists think about valuations, dilution, and returns, and why fully diluted post-money matters. Key metrics like IRR and DPI, and how they influence investment decisions and fund performance. Common deal terms and cap table “red flags” founders should watch out for as they raise capital. Tune in to learn how understanding venture math can help founders make smarter funding decisions, protect long-term value, and build biotech companies positioned for sustainable growth and impact. Links: Connect with Isaiah Reeves, PhD, and check out Solas BioVentures. Connect with Elaine Hamm, PhD, and learn about Tulane Medicine Business Development and the School of Medicine, as well as Cadenza Bio. Connect with Josh Eckelberry, MBA, and Mark Corrigan, MD. Check out the books The Go-Giver and Venture Deals. Check out the podcasts STAT, Biotech Hangout, and 20VC. Check out our previous episodes on Networking as an Introvert and Solas BioVentures with Travis Manasco. Connect with Ian McLachlan, BIO from the BAYOU producer. Learn more about BIO from the BAYOU - the podcast. Bio from the Bayou is a podcast that explores biotech innovation, business development, and healthcare outcomes in New Orleans & The Gulf South, connecting biotech companies, investors, and key opinion leaders to advance medicine, technology, and startup opportunities in the region.

This is an excerpt of Solenne's conversation with Robin Wauters, European tech ecosystem builder at EU-IncFinscale is also available on YouTube: https://www.youtube.com/@finscale.********************Finscale is much more than a podcast. It's an ecosystem that connects key players in the financial sector through networking, coaching, and strategic partnerships.

This is an excerpt of Solenne's conversation with Robin Wauters, European tech ecosystem builder at EU-IncFinscale is also available on YouTube: https://www.youtube.com/@finscale.********************Finscale is much more than a podcast. It's an ecosystem that connects key players in the financial sector through networking, coaching, and strategic partnerships.

In this conversation, Mayur Mistry interviews Jameson Hartman, Vice President of RET Ventures, discussing his career journey, the operations of RET Ventures, and the current landscape of venture capital in construction and real estate technology. Jameson shares insights on the challenges and opportunities in the industry, the importance of data organization for startups, and advice for aspiring founders and venture capitalists. The discussion also touches on the impact of AI on deal flow and due diligence, as well as the need for technology solutions that enhance the resident experience in real estate.   Takeaways   Jameson Hartman tripped into investment banking at Goldman Sachs. RET Ventures focuses on strategic investments in real estate tech. The fund typically invests in Series A companies with product market fit. A week at RET involves supporting portfolio companies and finding new investments. AI has increased the number of startups but also the complexity of due diligence. Seamless technology solutions are needed in the real estate rental process. Construction tech presents significant opportunities for disruption. Founders should focus on the user experience, not just the decision-makers. Organized data and clear value propositions are crucial for startups. Long-term relationships with clients are more valuable than short-term sales.   Chapters   00:00 Introduction to Jameson Hartman and RET Ventures 01:28 Career Journey and Highlights 03:05 A Week in the Life at RET Ventures 05:05 Navigating the AI Bubble in Venture Capital 07:29 Technology Solutions for Real Estate Challenges 09:28 Opportunities for Disruption in Construction Tech 10:43 Identifying Oversaturated Markets in PropTech 13:22 Advice for Early Stage Founders 16:33 Lessons from Founders' Mistakes 18:48 Advice for Aspiring Venture Capitalists 21:25 Rapid Fire Round and Closing Thoughts  

Season 5 opens with one of the architects of Latin America's tech ecosystem.Hernán Kazah co-founded MercadoLibre — Latin America's most valuable technology company with a market cap exceeding $100B — and later built Kaszek Ventures into a multi-billion-dollar venture firm backing companies like Nubank, Kavak, and Gympass (Wellhub).In this Season 5 premiere of The J Curve, Hernán shares lessons from building MercadoLibre from a garage startup with 80 competitors into a generational technology company — and from investing in the next generation of Latin American founders.  We discuss:• The early strategic decisions that allowed MercadoLibre to win• Why the default outcome for founders is failure  • How Kaszek evaluates founders and investment opportunities  • The venture capital power law and why investors must be right only a few times  • Building a generational venture capital institution in Latin America  • The impact of AI on software and the future of SaaS  • How great founders actually get identified• The evolution of the Latin American tech ecosystemHernán also explains why building a startup in Latin America is like “climbing Everest on top of a rollercoaster” — and why the next generation of iconic companies is still ahead.  This episode is a masterclass on:– Building enduring technology companies– Venture capital decision-making– Founder psychology– Long-term compounding– The future of Latin American techSubscribe to The J Curve for conversations with the founders and investors building the future of Latin American tech. Follow the show on Spotify and sign up for The J Curve Insider newsletter for deeper insights and behind-the-scenes content.

We are officially at halftime in the life of Solomon. After 20 years of building the temple, the palace, and establishing his kingdom, Solomon had achieved everything he set out to do. He was powerful, wealthy, famous, and successful beyond imagination. But the first half of the game was over. In this message, Pastor Brandon walks us through 1 Kings 9 and 2 Chronicles 7 as God gives Solomon a halftime speech. A promise. A warning. And a call to finish well. Because in the end, success is not about what you build. It is about whether you know Him. If you feel like you are in a halftime season of life, this message is for you. Join us as we continue our series on the life of Solomon.

S5:E216 David details The Weekly Update in Venture and previews Wednesday's E216 interviews with 2 portfolio companies executing on their GTM strategies. (recorded 3.1.26)Follow David on X at https://x.com/DGRollingSouth Connect On LinkedIn with David at https://www.linkedin.com/in/davidgrisell/ Follow Paul on X at https://x.com/PalmettoAngel Connect On LinkedIn with Paul at https://www.linkedin.com/in/paulclarkprivateequity/ We invite your feedback and suggestions at www.ventureinthesouth.com or email david@ventureinthesouth.com.

In this episode of DisrupTV, hosts R "Ray" Wang and Vala Afshar explore three critical performance levers in the AI era: negotiation strategy, meeting discipline, and founder focus. Brian Doyle (Holden Advisors) explains why AI-armed procurement teams are reshaping B2B negotiations—and why sellers must shift from discounting to outcome-based value conversations. Dr. Rebecca Hinds (Work Innovation Lab at Asana) reveals how modern meeting culture mirrors sabotage tactics—and how leaders can eliminate “meeting debt” using her 4D + CEO test. Venture capitalist Dr. Igor Ryabenkiy shares why ruthless focus—not feature sprawl—is the hidden engine behind unicorn startups. If you want to protect margin, reclaim your calendar, and build with clarity in an attention-scarce economy, this episode delivers practical frameworks you can apply immediately.

Cary Broussard launches a special podcast series about women and finance, featuring women who have built strong investment careers across industries.  These inspiring stories will motivate you to keep building, and keep networking – keep reaching for the palace of your dreams.   Cary's Cinderella CEO On Air podcast offers advice and tips that will resonate especially with business executives, entrepreneur-minded individuals, founders and investors.  You'll hear tips for raising capital, growing businesses and why it's important to continue your journey.  Cary goes inside the decisions, dynamics, and doors behind venture-led capital. Who gets funded, who gets backed, and who scales.   Cary's interview with Michelle Bernier, Chief of Staff at Liberty Ventures Network, provides an overview of Michelle's background and her unique Cinderella to CEO story. Michelle oversees a venture capital ecosystem, a $10M seed fund and advises on startup operations. Michelle has a background in corporate law, nonprofit, and entrepreneurship, and has diligenced over 20 startups (e.g. Angel Studios, SpaceX, Nouri).  She is a new member of the Forbes Business Council.   Michelle's Cinderella story has grit– she escaped Venezuela during a government crackdown and came to the United States to start anew. She shares details about what drove her to overcome those circumstances and beat those odds.   

In this episode, Emily Durfee, Partner of Corporate Venture Capital at Healthworx, discusses strengthening payer provider collaboration, accelerating responsible AI adoption, and using strategic investment to address regulatory uncertainty and the rising cost of care.

Dans cet épisode de Finscale, je reçois Chloé Mayenobe, Deputy CEO de Thunes, acteur mondial des paiements transfrontaliers, pour une plongée au cœur d'une infrastructure invisible mais essentielle : celle qui permet d'envoyer de l'argent instantanément, partout dans le monde.Nous avons parlé :De son parcours avant Thunes, notamment son expérience chez Ingenico au sein de comités exécutifs, et de la manière dont cette immersion dans un grand groupe technologique mondial a façonné sa vision du leadership, de la gouvernance et du rôle du manager.De la création et du positionnement de Thunes comme réseau mondial de paiements cross-border, conçu pour connecter directement des acteurs locaux (banques, wallets, opérateurs) plutôt que de s'appuyer uniquement sur les circuits bancaires traditionnels.De la complexité structurelle des paiements transfrontaliers, notamment en matière de conformité, de change, de gestion de liquidité et d'interopérabilité entre systèmes hétérogènes.De l'importance stratégique des wallets mobiles dans de nombreux marchés émergents, où ils constituent un canal majeur d'inclusion financière et un point d'entrée clé pour les flux internationaux.De la culture d'entreprise chez Thunes, pensée comme globale dès l'origine, avec des équipes réparties sur plusieurs continents, une forte exigence d'exécution et un cadre commun permettant d'opérer dans un environnement régulé et multiculturel.Des enjeux de gestion du risque et de conformité (KYC, AML, sanctions) intégrés au cœur de l'infrastructure technologique, et considérés comme un élément structurant du modèle plutôt qu'une simple contrainte réglementaire.De la place des “stablecoins” dans les réflexions actuelles sur les paiements internationaux, abordés comme une évolution technologique potentiellement utile pour améliorer la rapidité et l'efficacité des flux, à condition d'être intégrés dans un cadre opérationnel maîtrisé et conforme.Un échange éclairant sur ce que signifie réellement le paiement “instantané” à l'échelle mondiale, et sur la manière dont des acteurs comme Thunes redessinent les rails de la finance internationale: un regard sur les coulisses d'un secteur en pleine transformation, entre temps réel, conformité et expansion mondiale. Recommandation de Chloé:“Noise” d'Olivier Sibony: https://oliviersibony.fr/livres/noise/Liens utiles:Chloé Mayenobe: https://www.linkedin.com/in/chloe-mayenobe/Thunes: https://www.thunes.com/***************************Finscale, c'est bien plus qu'un podcast. C'est un écosystème qui connecte les acteurs clés du secteur financier à travers du Networking, du coaching et des partenariats.

This week, we're back with another weekly roundup where we discuss the recent lawsuit filed by Terraform Labs against Jane Street. We then deep dive into Circle's earnings, Tether's investment in Whop, Robinhood's Venture fund & more. Enjoy! -- Follow Rob: https://x.com/HadickM Follow Santi: https://x.com/santiagoroel Follow Empire:https://x.com/theempirepod -- Join us at DAS (Digital Asset Summit) in New York City this March! Follow the link below to grab your ticket, and use code EMPIRE200 to get $200 off your ticket! https://blockworks.co/event/digital-asset-summit-nyc-2026 -- Coinbase crypto-backed loans, powered by Morpho, enable you to take out loans at competitive rates using crypto as collateral. Rates are typically 4% to 8%. Borrow up to $5M using BTC as collateral and up to $1M using ETH as collateral. Manage crypto-backed loans directly in the Coinbase app with ease. Learn more here: https://www.coinbase.com/onchain/borrow/get-started?utm_campaign=0126_defi-borrow_blockworks_empire&marketId=0x9103c3b4e834476c9a62ea009ba2c884ee42e94e6e314a26f04d312434191836&utm_source=empire -- Timestamps: (00:00) Introduction (01:40) Terraform Labs Sues Jane Street (28:40) Coinbase Ad (29:24) DAS Plug (29:51) Circle Beats Earnings (39:32) Would You Rather Own Stripe or Circle? (46:10) Robinhood's Venture Fund  (56:04) Tether Invests $200M In Whop (01:19:37) Content of The Week -- Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, Rob and our guests may hold positions in the companies, funds, or projects discussed.

What exactly are LPs buying when they allocate to venture today and do they still believe in it?In this episode, Andreas sits down with Max Bray and Juliet Bailin, both Venture Partners at Kindred Capital VC to unpack what's really happening beneath the fundraising headlines.Max brings the raw perspective of trying to raise a first-time fund in 2025 with unicorn-founder GPs, strong angel track records, and still struggling to secure second meetings.Juliet brings the sharper counterpoint: LP frustration isn't always ignorance. Sometimes it's a rational response to how venture has been practiced, especially around transparency, liquidity discipline, and the unrealistic expectation that a GP should be world-class at everything.This is a conversation about:LP behavior in uncertain cyclesThe myth of the “full-stack investor”Why solo GP economics are brutalWhether software still needs ventureAnd why the fund model is splitting at the extremesNot hot takes. Not doom.Just honest mechanics.ShareWhat's Covered:01:04 Max's 2025 fundraising reality: even strong “on-paper” stories struggle to get second calls03:46 LP rotation: capital moving toward liquidity, security, and shorter-duration bets05:08 LP frustration: transparency gaps + liquidity decision-making07:09 LPACs as sparring partners, not governance theatre09:31 Europe's structural issue: too few LPs and GPs have lived full cycles12:47 The “full-stack investor” myth: investing + fund management + compliance + IR14:46 Solo GP economics: why 2/20 breaks at the small end26:08 The barbell thesis: platforms on one end, specialists on the other27:56 Software defensibility compression in the AI era30:24 Will AI decentralize outcomes — or centralize them further?33:10 The rise of AI roll-ups and alternative capital models35:19 The “middle-market squeeze” — real or overhyped?39:34 What founders actually care about when choosing a fund

The Continuous Call Team is coming to you 7 days a week! Get the news you need to hear with The Offload! Host James Willis and journalist Andrew Webster dive into rugby league’s Vegas venture as it hits year three. Plus, they break down the fiery Zac Lomax affair and Mitch Barnett’s shock Warriors exit. For non stop footy updates and insight, Follow The Continuous Call Team wherever you get your podcasts".See omnystudio.com/listener for privacy information.

CJ sits down with Mike Jung, Co-Founder and Managing Partner of Founders Circle Capital. They unpack the rise of structured liquidity, how secondaries went mainstream, and what CFOs should know before running a tender. Mike shares lessons from the dot-com era, AI's “super cycle,” and what separates durable growth companies from hype.—SPONSORS:RightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.com—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNMike: https://www.linkedin.com/in/mikjunghttps://www.founderscircle.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/https://www.mostlymetrics.com—TIMESTAMPS:1:08 Founder Circle origin3:15 The founder liquidity insight5:16 Staying private longer problem6:04 Secondary market control vs chaos8:44 Secondaries over IPOs10:12 Liquidity keeps VC alive11:27 Ask Jeeves dot-com lesson12:26 $190 to $1 + AMT reality13:10 Sponsors — RightRev | Rillet | Tabs16:39 Private share opacity risk20:25 Founder + employee liquidity playbooks21:55 Early investors need liquidity too22:31 Cap table math actually matters24:17 SPV fee stacking insanity25:37 Sponsors — Abacum | Brex | Metronome28:54 Tender offer guardrails30:09 Minimum vs maximum liquidity balance33:01 Growth stage sweet spot + IPO bar rising34:17 AI Cambrian explosion34:58 Buying fear vs buying hype36:29 AI growth sustainability37:19 Founder-led advantage + product velocity38:47 TAM is created, not measured41:06 Anti-portfolio lessons43:01 What is a supercycle44:34 Do supercycles end in crashes?46:16 AI's unprecedented adoption curve48:31 Community as a moat52:50 Earning the right to be on the cap table

Get the news you need to hear with The Offload! Host James Willis and journalist Andrew Webster dive into rugby league’s Vegas venture as it hits year three. Plus, they break down the fiery Zac Lomax affair and Mitch Barnett’s shock Warriors exit. For all your NRL news - follow the Continuous Call Team - wherever you get your podcasts. It’s your one stop shop for the latest in rugby league. Share with your mates and leave a review. You can find us on YouTube and on Instagram - just search ‘The Continuous Call Team’See omnystudio.com/listener for privacy information.

Venture into the shadowy realms of power and secrecy with Already Dead, where hosts Jose Galison (@towergangjose) and Austin Picard (@theatrethugawp) dissect the intricate web of conspiracy, covert operations, and the underlying political machinations that might just be pulling the strings of our society.What to Expect: Live Listener Interaction: Call in to share your theories, ask burning questions, or discuss personal experiences related to the topics at hand. In-Depth Explorations: Each episode focuses on a different conspiracy or hidden aspect of political history, offering a platform to question and analyze what's often left unsaid. Thought-Provoking Guests: We invite individuals with insider knowledge or those who've taken the red pill to discuss topics that range from the fringe to the forefront of conspiracy culture. Critical Analysis of Current Affairs: We don't just report on events; we interpret them through the lens of parapolitics, looking for patterns and hidden agendas.Join Us: Every Tuesday at 9:30 PM ET, dive into the depths of the unknown with us. Subscribe, participate in our live call-ins, and be part of a community that seeks to understand the world beyond the surface narrative.Disclaimer: This podcast thrives on speculation, hypothesis, and the examination of alternative theories. It's meant to provoke thought and encourage personal research. Not all discussed is proven fact, but rather a call to question, explore, and understand.Warning: For those not ready to challenge their worldview, tread carefully. Once you enter the world of Already Dead, you might find that the truth is often already dead to the uninitiated. Welcome aboard, where curiosity is your guide.Please consider supporting our work- Austin's Patreon: https://www.patreon.com/c/TheUnderclassPodcastAustin's Spreaker: https://www.spreaker.com/podcast/the-underclass-podcast--6511540Austin's Rumble: https://rumble.com/user/TheUnderclassPodcastAustin's YouTube: https://www.youtube.com/@TheUnderclassPodcast#AlreadyDead #StateoftheUnion #DarkWebEpsteinFiles #EpsteinThemedSatanicPanic #PedoPanic #PedophileProtectors #Epstein666 #EpsteinsAfghanReconstruction #ProjectBlueBeam #TheDisclosureProject #IranNuclearNarrative #MediaManipulation #ManufacturingConsent #ModernMockingbird #ModernMindControl #EpsteinsPrincessDiana #MotherTeresa #MaraLagoMurder #CartelChaos #TheCartelProjectBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-underclass-podcast--6511540/support.

What makes for a good entrepreneur in today's start-up landscape? How do you work to scale and when is it right to go from bootstrapping to seeking funding? How are the roots of innovation now fundamentally different than the dot com era? Lori Rosenkopf is a Professor of Management and also the Vice Dean of Entrepreneurship at the Wharton School, San Francisco campus. She is also the author of the book Unstoppable Entrepreneurs: 7 Paths for Unleashing Successful Startups and Creating Value through Innovation. Greg and Lori discuss Lori's focus on Wharton's student and alumni entrepreneurial ecosystem, and she explains how entrepreneurship skills overlap with the innovation inside large organizations and universities. Lori describes seven entrepreneurial pathways and six “Rs” that reflect an entrepreneurial mindset, emphasizing that many successful entrepreneurs first build industry experience in standard careers rather than launching ventures immediately after school.  Their conversation covers how Wharton's curriculum has evolved over time, adding majors and coursework in entrepreneurship, innovation, analytics, and now AI; experiential learning; venture pitching for credit. Greg asks how the Venture Acceleration Lab helps expose students to scaling alumni ventures. Lori and Greg discuss different stereotypes of entrepreneurs, and Lori touches on why alumni and industry-affiliation networks remain powerful, how innovation increasingly happens through ecosystems, partnerships, and acquisitions rather than in-house R&D, and the continuing importance of universities in basic science commercialization, including Penn's Pennovation initiative and strong biomedical startup activity. *unSILOed Podcast is produced by University FM.* Episode Quotes: The stereotype of a unicorn founder 17:18: I think that we have grown accustomed to a stereotype, which is, let us name them out, college dropout. Young. Venture capital backed tech, unicorn, great personal and commercial wealth. And now we are depending on them for philanthropy. We can have a whole discussion just about whether that is a good thing or not. But that is sort of the image. Is there a way people can cultivate their resilience? 32:00: Resilience, it can come from being in love with your problem and wanting to solve that so deeply. Now it has to be a problem that enough of the marketplace shares that they are willing to think about your solution. But people who want to solve a problem are going to claim lots and lots of different ways to attack it. And this is what entrepreneurs are constantly dealing with, negative feedback and challenges. In many cases, it is very rare that companies of ventures first offering is something that everybody falls in love with. What has Lori learned about information diffusion over 30 years of research? 11:17: I think that as we have gone to where more digital products and services, that it gives us the opportunity to build up these bigger ecosystems where different parties are collaborating in a variety. So it might be as extreme as acquisitions. And that is not just happening when Apple, that is CPG companies are buying little startups where people have developed new grants that are cool. They are partnering in many cases, so they may not be a full on acquisition, but there will be a contractual set of arrangements and maybe a conformance to a standard, as well. So that has become more and more common, and the idea that any one firm can invent everything in house, I think it does feel a little bit passé, you know, like rate of change is getting quicker and quicker. Show Links: Recommended Resources: Patrick T. Harker Entrepreneurship Venture Lab | University of Pennsylvania Max Weber Bell Labs Guest Profile: Faculty Profile at Wharton Business School LoriRosenkopf.com LinkedIn Profile Guest Work: Unstoppable Entrepreneurs: 7 Paths for Unleashing Successful Startups and Creating Value through Innovation Google Scholar Page Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Markets always cycle.The only question is whether you freeze in uncertainty… or plant anyway.Chris joins Neil to break down what is really happening in capital markets right now, why liquidity feels stagnant, how venture and private equity are adjusting, and where opportunity is quietly forming. From housing affordability to 50-year mortgages, from leverage to Section 179 tax strategy, this episode is a wide-ranging conversation about ownership, yield, patience, and positioning yourself before the next cycle turns.In This Episode, We Cover✅ Liquidity Is Slower, Not DeadVenture, PE, and M&A activity are not moving at 2021 pace. IPOs are slower. Companies are staying private longer. That creates a liquidity crunch. But capital is still moving. You just need to understand the tempo.✅ Growth vs Yield CyclesMarkets shift between valuing revenue growth and valuing profit and yield. Right now, yield matters. That changes how founders should position their companies and what investors prioritize.✅ Housing, Ownership, and the Middle ClassInstitutional buyers, affordability challenges, and new housing models are reshaping the market. Ownership is becoming harder. This creates risk and opportunity.✅ Leverage vs Debt-Free Thinking Paying off your house feels safe. But is idle equity really wealth? The discussion explores how leverage, refinancing, and redeploying capital can create additional assets and cash flow.

This week on Swimming with Allocators, Earnest and Alexa welcome David Clark, CIO at Vencap, who unpacks the realities of venture capital, emphasizing a data-driven approach to understanding returns, the persistent and intensifying “power law” in VC, and why only a small percentage of funds and companies drive outsized results. The discussion covers the challenges of evaluating new managers versus established firms, the nuances of secondary investments, and the critical importance of consistent, top-tier fund performance. Listeners will gain insight into the pitfalls of confirmation bias, the difficulties facing retail investors, and why strategy, transparency, and adaptability are key for long-term VC success. Also don't miss Rebecca Stuart of Sidley as she explains how unprecedented AI-focused acqui-hires function as talent raids that can bypass standard change-of-control protections. She also outlines legal and structural strategies VCs and startups can use like broadened definitions of change of control, retention and vesting design, and coordinated employment/comp practices, to better protect portfolios and key teams. Highlights from this week's conversation include: Welcoming David to the Show and Previewing Today's Episode (0:18) David's Shift From Traditional LP Diligence to Data-Driven Investing (2:48)   How Long Feedback Loops and Unknown Unknowns Shape Venture Outcomes (5:16)   Confirmation Bias, Narratives, and Doing Pre-Meeting Homework on Managers (6:55)   Pattern Recognition and What World-Class Founders Look Like (8:49)   Using Power Laws and Top 1% Companies as the Core LP Filter (10:40)   Why Singles and Doubles Rarely Add Up to Great Venture Funds (13:46)   AI Acqui-Hires, Talent Raids, and Risks to VC Portfolios (17:20)   Deal Structures That Avoid Change of Control and LP Protections (19:04)   Retention Tools, Forfeiture for Competition, and Staggered Vesting Cliffs (20:53)   Democratization of VC, 401(k) Investors, and the Risk of Disappointment (25:22)   Emerging Managers and the Myth of the Middle Class in Venture (30:58)   Venture Secondaries, Premium Pricing, and Why Discounts Can Be Misleading (36:04)   Scope Creep, Platform Expansion, and When LPs Disengage From Big Firms (42:06)   VenCap is one of the longest-running dedicated venture capital fund-of-funds globally, investing in many of the world's leading VC firms for over three decades. The firm's strategy emphasizes long-term consistency, deep relationship networks, and concentrated exposure to top-tier venture capital companies across cycles. Sidley Austin LLP is a premier global law firm with a dedicated Venture Funds practice, advising top venture capital firms, institutional investors, and private equity sponsors on fund formation, investment structuring, and regulatory compliance. With deep expertise across private markets, Sidley provides strategic legal counsel to help funds scale effectively. Learn more at sidley.com. Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies.  The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only. Learn more about your ad choices. Visit megaphone.fm/adchoices

Venture into the shadowy realms of power and secrecy with Already Dead, where hosts Jose Galison (@towergangjose) and Austin Picard (@theatrethugawp) dissect the intricate web of conspiracy, covert operations, and the underlying political machinations that might just be pulling the strings of our society.What to Expect:Live Listener Interaction: Call in to share your theories, ask burning questions, or discuss personal experiences related to the topics at hand.In-Depth Explorations: Each episode focuses on a different conspiracy or hidden aspect of political history, offering a platform to question and analyze what's often left unsaid.Thought-Provoking Guests: We invite individuals with insider knowledge or those who've taken the red pill to discuss topics that range from the fringe to the forefront of conspiracy culture.Critical Analysis of Current Affairs: We don't just report on events; we interpret them through the lens of parapolitics, looking for patterns and hidden agendas.Join Us: Every Tuesday at 9:30 PM ET, dive into the depths of the unknown with us. Subscribe, participate in our live call-ins, and be part of a community that seeks to understand the world beyond the surface narrative.Disclaimer: This podcast thrives on speculation, hypothesis, and the examination of alternative theories. It's meant to provoke thought and encourage personal research. Not all discussed is proven fact, but rather a call to question, explore, and understand. Warning: For those not ready to challenge their worldview, tread carefully. Once you enter the world of Already Dead, you might find that the truth is often already dead to the uninitiated. Welcome aboard, where curiosity is your guide.Please consider supporting my work- Patreon- https://www.patreon.com/nowayjose2020Only costs $2/month and will get you access to episodes earlier than the public No Way, Jose! Rumble Channel- https://rumble.com/c/c-3379274 No Way, Jose! YouTube Channel- https://youtube.com/channel/UCzyrpy3eo37eiRTq0cXff0gMy Podcast Host- https://redcircle.com/shows/no-way-joseApple podcasts- https://podcasts.apple.com/us/podcast/no-way-jose/id1546040443Spotify- https://open.spotify.com/show/0xUIH4pZ0tM1UxARxPe6ThStitcher- https://www.stitcher.com/show/no-way-jose-2Amazon Music- https://music.amazon.com/podcasts/41237e28-c365-491c-9a31-2c6ef874d89d/No-Way-JoseGoogle Podcasts- https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tL2ZkM2JkYTE3LTg2OTEtNDc5Ny05Mzc2LTc1M2ExZTE4NGQ5Yw%3D%3DRadioPublic- https://radiopublic.com/no-way-jose-6p1BAO Vurbl- https://vurbl.com/station/4qHi6pyWP9B/Feel free to contact me at thelibertymovementglobal@gmail.com#AlreadyDead #StateoftheUnion #DarkWebEpsteinFiles #EpsteinThemedSatanicPanic #PedoPanic #PedophileProtectors #Epstein666 #EpsteinsAfghanReconstruction #ProjectBlueBeam #TheDisclosureProject #IranNuclearNarrative #MediaManipulation #ManufacturingConsent #ModernMockingbird #ModernMindControl #EpsteinsPrincessDiana #MotherTeresa #MaraLagoMurder #CartelChaos #TheCartelProject

In this episode of Clover, I'm joined by Camille Ricketts, now a partner at XYZ Venture Capital and formerly a marketing leader at Tesla, First Round Capital, and Notion.Camille's career journey has been anything but linear—starting as a journalist at The Wall Street Journal, moving into communications at Tesla, where she worked directly with Elon Musk, then pioneering content marketing with First Round Review, and later scaling community-led growth at Notion. Today, she brings that breadth of experience to her work in venture capital, helping founders and startups thrive.We cover:What it's like to pivot when the path you've been working toward isn't the right fit.Lessons from building Tesla's early communications team and learning from Elon's leadership style.How Camille created the First Round Review, one of the most influential startup content platforms.What it takes to scale community and user-led storytelling at Notion.Why understanding which “stage” of company you thrive in is essential to building your career.How Camille defines success today—by helping others rise and giving credit away.Camille's story is a reminder that careers aren't ladders—they're winding, evolving journeys built on curiosity, adaptability, and purpose.Related links or mentions within the episode:Communities / Resources:Play Bigger: How Pirates, Dreamers, and Innovators Create and Dominate Markets (book)'Give Away Your Legos' and Other Commandments for Scaling Startups (article)Lean In: Women, Work, and the Will to Lead (book)Social Media / Links:Twitter/X: @CamilleRickettsLinkedIn: Camille Ricketts

There's a limited-time elevated offer on the Capital One Venture Rewards Credit Card, and if you've been waiting for the right time to jump in… this might be it.In this episode, I'm breaking down exactly what the current bonus is, who it's best for, how to maximize the miles, and the mistakes I see people make with this card.Because yes, the headline sounds good — but we're getting into the real strategy behind it.If you want simple, flexible travel points that can unlock serious trips without overcomplicating your wallet, don't skip this one.

Today's show dives into the state of the venture capital from the LP perspective.     Sean Warrington is a Partner on the Private Investments team at Gresham Partners, a $13 billion multifamily office, and Ed Grefenstette is the CEO and CIO of The Dietrich Foundation, a $1.6 billion foundation with an unusually large allocation to private markets and venture capital. Ed was a past guest on the show and that conversation is replayed in the feed.    Our conversation covers the changing landscape of venture capital, including pricing distortions, power law winners, liquidity issues, GP behavior, and scaled platforms. Throughout the insightful conversation, Ed and Sean share LP strategies to capture opportunities and navigate risks across stages, sectors –mostly AI – and geographies.      Learn more about our Strategic Investments: Old Well Labs.   Learn More Follow Ted on Twitter at @tseides or LinkedIn Subscribe to the mailing list Access Transcript with Premium Membership   Editing and post-production work for this episode was provided by The Podcast Consultant (⁠https://thepodcastconsultant.com⁠)

What began as a 14 year old fixing infected computers became Malwarebytes, an 800 person cybersecurity company trusted by millions of customers.On Grit, Marcin Kleczynski joins Joubin Mirzadegan to explore AI driven cyber threats, strategic reinvention, and the discipline of evolving before the market forces you to.“We've exceeded. Now, what do we do to protect individuals against the next wave of threats, which are plentiful?”Guest: Marcin Kleczynski, CEO at MalwarebytesConnect with Marcin KleczynskiX: https://x.com/mkleczynskiLinkedIn: https://www.linkedin.com/in/marcinkleczynski/Connect with JoubinX: https://x.com/JoubinmirLinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Email: grit@kleinerperkins.comFollow on LinkedIn:https://www.linkedin.com/company/kpgritFollow on X:https://x.com/KPGrit​Learn more about Kleiner Perkins: https://www.kleinerperkins.com/

What does it mean to make space for God? This week, we continued our series through the life of Solomon by looking at one of his greatest achievements — building the Temple. But this message is about more than a building. It's about holiness, dedication, and what it looks like to live a life of long obedience in the same direction. If we build a space for God, He will fill it.The question is — do we want Him to? Watch as we explore:• The significance of the Temple• Solomon's obedience (and compromise)• What happens when God's presence fills the space• Why WE are now the temple• And what it means to live set apart today Timestamps 0:00 – Introduction to Solomon: Wise Until He Was NotLet's make space for God.

S5:E214 David delivers The Weekly Update in Venture and introduces the upcoming summary of the VentureSouth 10th Annual Summit for E215. Paul will be summarizing the What, Who and Why for that event, while David will preview an upcoming Webinar for GenZ and Millenial investors interested in venture but who do not qualify as accredited investors and finally Paul will summarize other upcoming events of interest to Angels. (recorded 2.22.26)Follow David on X at https://x.com/DGRollingSouth Connect On LinkedIn with David at https://www.linkedin.com/in/davidgrisell/ Follow Paul on X at https://x.com/PalmettoAngel Connect On LinkedIn with Paul at https://www.linkedin.com/in/paulclarkprivateequity/ We invite your feedback and suggestions at www.ventureinthesouth.com or email david@ventureinthesouth.com.

In this episode of Potential to Powerhouse, Tracy Holland sits down with Laurel Mintz, Founder of Elevate My Brand and GP of Fabric VC, to discuss digital marketing strategy, venture capital funding, and scaling profitable brands in today's rapidly changing landscape. With nearly 20 years of experience and 400+ brands launched, Laurel shares how founders can build brand awareness on a budget, leverage niche communities like Reddit, and create high-conversion marketing funnels. They also dive into raising capital, why diverse founders generate 25% higher returns on average, and what investors are really looking for.. Plus, Laurel breaks down the future of AI in marketing, generative engine optimization (GEO), and how founders should prepare for major shifts in advertising and search in 2026. This episode is a must-listen for female entrepreneurs, startup founders, creators, and investors ready to scale with strategy and intention. Episode Highlights Building a digital marketing agency that scaled 400+ brands Community-driven brand growth and higher conversion rates Venture capital insights for diverse and female founders AI disruption, SEO vs. GEO, and the future of digital advertising Connect with Laurel Elevate My Brand: https://elevatemybrand.com Fabric VC: https://fabricvc.com Instagram: @elevatemybrand | @fabricventures Connect with Us Subscribe to the newsletter: potentialtopowerhouse.substack.com Follow the show: @PotentialToPowerhouse Connect with Tracy: @tracy_m_holland Loved this episode? Leave a review on Apple Podcasts or Spotify and help us amplify powerhouse female leaders.

On this special segment of The Full Ratchet, the following Investors are featured: D.A. Wallach of Time BioVentures Nnamdi Okike of 645 Ventures Lara Banks of Makena Capital Management We asked guests to tell the most important lesson they've learned in their career. The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. We're proud to partner with Ramp, the modern finance automation platform. Book a demo and get $150—no strings attached.   Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter.

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

This is my second conversation with Josh Kushner, founder and managing partner of Thrive Capital. I recorded this conversation in October after publishing the Colossus cover story about him and Thrive. Given the overwhelming response, we created some breathing room before releasing it. Josh started Thrive in 2011. The firm now manages approximately $50 billion with a very small investment team. What makes Thrive different is how concentrated they are and how involved they get with their portfolio companies. We cover the iconic investments that defined Thrive: Instagram, Stripe, GitHub, and spend a lot of time on OpenAI. Josh explains how Thrive thinks about investing today and the three categories they're currently focused on. Josh also talks about building the firm, why they keep the team small, and what he's learned from A24 about enabling artists to do their best work. He shares personal stories that shaped him, including his grandmother's experience surviving the Holocaust, and lessons from Stan Druckenmiller, Jon Winkelried, and others at formative moments in Thrive's history. Please enjoy my great conversation with Josh Kushner. 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. Visit ⁠vanta.com/invest⁠.  ----- ⁠WorkOS⁠ is a developer platform that enables SaaS companies to quickly add enterprise features to their applications. Visit⁠⁠ ⁠WorkOS.com⁠⁠⁠ to transform your application into an enterprise-ready solution in minutes, not months. ----- ⁠Rogo⁠ is an AI-powered platform that automates accounts payable workflows, enabling finance teams to process invoices faster and with greater accuracy. Learn more at ⁠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 (00:02:43) Intro: Josh Kushner (00:03:46) How Thrive Has Changed Since 2023 (00:05:18) Thrive's Entrepreneurial Culture (00:12:22) The Power of Small Teams (00:13:35) Sponsors (00:14:35) Concentration as Differentiation (00:16:16) The Github Deal (00:18:08) Lesson from Stan Druckenmiller (00:20:37) Leading Stripe's $50 Billion Round (00:23:16) Instagram: Doubling an Investment in Days (00:25:43) Isomorphic: Thrive as an Enabling Technology (00:27:04) Thrive & A24 (00:28:19) OpenAI: The Product Josh Couldn't Unsee (00:32:09) Pricing the OpenAI Investment (00:33:40) OpenAI and Power (00:35:26) Finding Joy in Hard Work (00:39:15) Inside View of the Tech & AI Landscape (00:42:28) Three Investment Categories Thrive is Focused On (00:44:37) Thrive Holdings: Inside-Out Disruption (00:48:54) Competition in Venture (00:50:49) Sponsors (00:51:48) Thrive's Immutable Values (00:54:21) A Family Story of Survival (00:56:43) The American Dream (00:58:03) What Artists Can Teach Investors (01:00:26) Never Compromise Your Values (01:01:33) The Story Behind Josh's Forever Watch

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Seth Levine of Foundry joins Nick to discuss A New Era For Venture: Dynamic Capitalism, Finding Alpha in the AI Cycle, Are Bubbles a Feature or a Bug, and Why the Future for America is Still Bright. In this episode we cover: State of Venture Capital and Investment Trends Challenges and Opportunities in Venture Capital Dynamic Capitalism and Its Principles The Role of Government and Market Dynamics The American Dream and Economic Mobility Balancing Values and Politics in Business The Future of Capitalism and American Optimism Guest Links: Seth's LinkedIn Seth's X Foundry's LinkedIn Foundry's Website The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. We're proud to partner with Ramp, the modern finance automation platform. Book a demo and get $150—no strings attached.   Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter.

According to the United Nations, human traffickers victimize an estimated 27.6 million people worldwide, with over 17,000 of them being from the USA. The problem feels overwhelming. How can we fight this battle? Paul Hurckman, Justus Hurckman, and Brent Silkey share about the Great World Race for Freedom and how they joined the race and the fight against human trafficking. Find out more about Venture here Find our more about 30 for Freedom here Originally aired February 9, 2025 Check out Susie's new podcast God Impressions on Apple, Spotify, or wherever you listen to podcasts! Faith Radio podcasts are made possible by your support. Give now: click here