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12 episodes with competitive landscape
2 episodes with competitive landscape
3 episodes with competitive landscape
2 episodes with competitive landscape
2 episodes with competitive landscape
2 episodes with competitive landscape
2 episodes with competitive landscape
2 episodes with competitive landscape
2 episodes with competitive landscape
AI Hustle: News on Open AI, ChatGPT, Midjourney, NVIDIA, Anthropic, Open Source LLMs
Jamie and Jaeden discuss a recent privacy issue with Meta AI, where users' voice questions were inadvertently shared publicly. They explore the implications of privacy settings in AI tools and the importance of being cautious with personal information. The conversation then shifts to the competitive landscape of AI talent, highlighting Meta's attempts to recruit top talent from OpenAI with lucrative offers. Finally, they discuss the growing opportunities in AI consulting, emphasizing the potential for individuals to carve out niches in the industry and capitalize on the demand for AI expertise.AI Hustle YouTube Channel: https://www.youtube.com/@AI-Hustle-PodcastOur Skool Community: https://www.skool.com/aihustle/aboutTry AI Box: https://AIBox.ai/Chapters00:00 Meta AI's Privacy Blunder02:54 The Competitive Landscape of AI Talent05:55 Opportunities in AI Consulting
In this episode of Chit Chat Stocks, Brett dives into a research report on a small stock with a market cap below $1 billion. It has grown its revenue by 100x in the last six years, making it the fastest-growing company we've ever researched. We discuss: (00:00) Introduction to [X company](04:01) Understanding Traditional Real Estate Commissions(07:33) The Disruptive Business Model of [X company](13:39) Exploring Ancillary Services and Their Potential(23:45) Innovations in financial services(34:14) Real Estate Brokerage Insights(39:07) Competitive Landscape in Real Estate(43:44) Understanding the MLM Debate(48:23) Management and Leadership Evaluation(49:52) Valuation and Future Earnings Potential(57:58) Final Thoughts and Investment Decisions*****************************************************JOIN OUR NEWSLETTER AND FREE CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************Fiscal.ai is building the future of financial data.With custom charts, AI-generated research reports, and endless analytical tools, you can get up to speed on any stock around the globe. All for a reasonable price. Use our LINK and get 15% off any premium plan: https://fiscal.ai/chitchat *********************************************************************Bluechippers Club is a tight-knit community of stock focused investors. Members share ideas, participate in weekly calls, and compete in portfolio competitions.To join, go to Blue Chippers and apply! Link: https://bluechippersclub.com/*********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.
The Investing Power Hour is live-streamed every Thursday on the Chit Chat Stocks Podcast YouTube channel at 5:00 PM EST. This week we discussed:(03:20) Exploring the Remittance Market(06:26) The Impact of Taxation on Remittances(09:37) Warner Brothers Discovery's Strategic Split(12:38) Meta's AI Acquisition and Market Positioning(35:40) OpenAI and Google Cloud Collaboration(41:58) The Future of AI and Profitability(43:29) Adobe's Earnings and Competitive Landscape(50:08) RoboTaxis: The Future of Transportation(01:00:55) Upcoming IPOs and Market Trends*****************************************************JOIN OUR NEWSLETTER AND CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************FinChat.io is The Complete Stock Research Platform for fundamental investors.With its beautiful design and institutional-quality data, FinChat is incredibly powerful and easy to use.Use our LINK and get 15% off any premium plan: https://finchat.io/chitchat *********************************************************************Bluechippers Club is a tight-knit community of stock focused investors. Members share ideas, participate in weekly calls, and compete in portfolio competitions.To join, go to Blue Chippers and apply! Link: https://bluechippersclub.com/*********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.
It's Just Bodybuilding Podcast 341 Big Ron Partlow, Dusty Hanshaw, Scott McNally 03:04 Celebrating Sasan's Toronto Pro Win 08:04 The Importance of Genetics in Bodybuilding 10:18 The Role of Diet and Durability in Success 14:18 Critique of Competition Lighting and Backdrops 15:37 The Competitive Landscape of Bodybuilding 18:54 Training Strategies for Peak Performance 20:54 The Art of Managing Fatigue in Training 22:45 Chris Aceto Analogies 25:49 Training Consistency and Adaptability 30:39 Sustainable Training Practices 32:01 Managing Stress and Expectations in Bodybuilding 40:54 Durability in Bodybuilding: Overcoming Fragility 42:33 Reflections on Training Philosophy: Flexibility vs. Dogmatism 44:43 The Importance of Quality Time During Prep 46:48 Enjoying the Journey: Mindfulness in Bodybuilding 50:41 Debunking Politics in Bodybuilding Competitions 56:06 Life After Competition: Embracing New Freedoms 01:05:13 Navigating Personal Goals and Commitments 01:07:10 The Last Set: A Life-Changing Choice 01:09:49 Memorable Workouts: The Power of Experience 01:13:24 Training Efficiency: Choosing the Right Exercises 01:19:12 The Evolution of Bikini Division 01:23:05 The Future of Bodybuilding: Embracing Change
What's even more challenging than recruiting talent? Retaining talent. We all know how important a strong team is to business success. In this Quick Hit, you'll learn how to keep your team together. Take in the full episode here
This week on Swimming with Allocators, Earnest and Alexa welcome Evan Finkel and Charlotte Palmer from Integra Global Advisors. Evan and Charlotte discuss their approach to venture capital investing, focusing on emerging managers while also sharing insights into evaluating new fund managers, emphasizing the importance of transparency, unique investment theses, and consistent communication. The conversation also covers challenges in the current VC landscape, including the competitive fundraising environment and the need for succession planning. Key takeaways include the value of building strong LP-GP relationships, the potential of smaller funds to generate alpha, and the critical role of motivation and differentiation for emerging managers. Also, don't miss our insider segment as Jason Kropp from Sidley discusses the complexities of cross-border venture capital investments, highlighting the importance of tax optimization, international investment structures, and navigating regulatory uncertainties in the current global investment landscape.Highlights from this week's conversation include:Evan's Background and Journey (1:09)Charlotte's Journey to Allocator (3:04)Integra Overview and Differentiation (4:41)Geographic Focus of Clients (8:24)Motivation and Competitive Landscape for Emerging Managers (11:13)Market Correction and Emerging Manager Archetypes (15:29)Diligencing Differentiated Perspectives (19:37)Off-List References and Deeper Diligence (23:51)Insider Segment: Complexities of Cross-Border Investments (24:48)LPAC Involvement and Value (28:56)How LPs Should Give Feedback (31:00)Questions GPs Should Ask LPs (34:18)Assessing LP Commitment and Stickiness (38:40)Succession Planning in VC Firms (42:55)Lessons Learned as LPs (47:31)Final Thoughts and Takeaways (50:00)Integra Global Advisors is a registered investment advisor (RIA) functioning like a multi-family office. The firm invests across the entire investable universe but on the venture side, the team specializes in early-stage investments across the U.S., Israel, Latin America, and Europe. Focused exclusively on emerging managers, Integra provides capital and strategic partnerships, actively engaging in LPAC positions to help funds succeed. Learn more at www.integraga.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.
How do you build a high-performance culture without turning your company into the Hunger Games? Reed Hastings, co-founder and former CEO of Netflix, shares lessons from a career spent rewriting the rules—from severance as a management tool to “big-hearted champions who pick up the trash.” In this episode, he reveals how Netflix scaled trust, made bold bets before the data was in, and kept its edge by treating employees like adults—not assets. You'll hear how Hastings evaluates talent beyond the interview, the reason he avoids performance improvement plans, and what most leaders misunderstand about judgment, feedback, and innovation. You'll also hear why he placed a $100 million bet on House of Cards with no pilot, how Drive to Survive changed an entire sport, and why Squid Game caught even Netflix by surprise. Now focused on a new chapter—owning a ski mountain, reshaping education through AI tutors, and supporting charter schools—Hastings is still doing what he does best: building systems that scale culture, not just product. If you care about performance without politics—or culture without the clichés—this is a blueprint from one of the clearest thinkers in modern business. Approximate timestamps: Subject to variation due to dynamically inserted ads: (3:09) Powder Mountain, Skiing Industry, & Buying a Mountain (6:36) Setting Culture in an Organization (9:21) Hiring Process and Evaluating Candidates (14:24) Netflix's 2009 Slide Deck Release (16:26) Talent Density and Performance Culture (17:59) Loyalty and Team Building (19:56) Severance Packages (22:17) Process Vs. Innovation (24:21) Preventing Bureaucracy from Creeping In (25:46) Identifying and Nurturing Good Judgment (26:40) Transition from CEO to Board Member (27:37) Competitive Landscape of Online Streaming (29:18) Role of Netflix in Driving Industry Interest (31:25) Handling Controversy: The Dave Chappelle Case (33:59) Inclusiveness and DEI in the Workplace (35:10) Customer Satisfaction and Operating Income (36:06) Decision Making in Content Acquisition: House of Cards (37:28) Creating vs Buying Content (38:46) Data Collection and User Preferences (40:32) AI in Netflix and Personal Use (42:33) AI in Education (45:12) Charter Schools and Importance of Education (48:07) Charter Schools and Government Control (52:34) Misconceptions and Personal Projects (53:25) Admiration for Bill Gates (55:04) Work-Life Integration (56:59) Reflections on Career and Obsession (59:12) The Netflix Keeper Test (1:00:38) Learning from Past Experiences at Pure Software (1:02:27) Challenges and Regrets at Pure Software (1:03:38) Role of the Board in Founder-led Companies (1:04:49) Venture Capital Experiences and Insights (1:05:31) Defining Moments and Openness to New Experiences (1:06:14) First Product Excitement: The Foot Mouse (1:07:19) Definition of Success Thanks to our sponsors for supporting this episode: NORDVPN: To get the best discount off your NordVPN plan go to nordvpn.com/KNOWLEDGEPROJECT. Our link will also give you 4 extra months on the 2-year plan. There's no risk with Nord's 30 day money-back guarantee! MOMENTOUS: Head to https://www.livemomentous.com and use code KNOWLEDGEPROJECT for 35% off your first subscription. Newsletter - The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it's completely free. Learn more and sign up at fs.blog/newsletter Upgrade — If you want to hear my thoughts and reflections at the end of the episode, join our membership: fs.blog/membership and get your own private feed. Watch on YouTube: @tkppodcast Learn more about your ad choices. Visit megaphone.fm/adchoices
Supercharge your analysis with AI! Get 15% of your membership with our special link here: https://finchat.io/csi/It's been over a year since Chip Stock Investor originally announced it would gradually start selling its stake in Marvell Technology Group (MRVL stock) and purchase more Broadcom (AVGO stock). What went wrong with Marvell? And what has happened in the last year that could pave the way for better stock returns for MRVL investors? Nick and Kasey discuss recent events, and Marvell's growth in AI and data center infrastructure.Join us on Discord with Semiconductor Insider: https://chipstockinvestor.com/semi-insider-sign-up/Sign Up For Our Newsletter: https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-form
Recruiting talent has never been more competitive - and candidates are expecting more than ever. How do you knock your recruiting out of the park? In this Quick Hit, you'll hear how it comes down to developing recruiting profiles and recruiting where your candidates are. Hear all the examples in the full episode here
with @aeyakovenko @alive_ethToday's episode features Solana cofounder Anatoly Yakovenko in conversation with a16z General Partner Ali Yahya, recorded live at our CSX Crypto Startup Accelerator program earlier this year.Anatoly shares the origin story of Solana — from a late-night eureka moment to thousands of investor meetings and several near-death startup experiences. He talks about what it took to get the network off the ground, how his engineering background at Qualcomm shaped its design, and why a need for speed gave Solana its edge.They also get into developer culture, engineering trade-offs, and what differentiates Solana's approach to building — including its willingness to ship, iterate, and rethink everything: including, most recently, its consensus algorithm.Timestamps:(0:00) Introduction(2:54) Early Career and Move to SF(3:57) Discovering Crypto and Solana's Beginnings(8:28) Challenges and Fundraising(12:12) Building Solana and Overcoming Obstacles(13:41) Solana's Vision and Market Strategy(17:23) Navigating Crises and Team Resilience(22:37) Solana's Unique Approach and Future Plans(24:57) Solana's Unique Approach to Software Development(26:35) Redesigning Solana: Lessons Learned(30:22) The Importance of Hackathons and Community(32:32) Technical Choices and Implications(34:16) Prioritizing User Experience Over Developer Comfort(36:40) Competitive Landscape of Layer 1 Chains(38:49) Building a Loyal Developer Community(42:36) Future of Blockchains and Solana's Vision(47:29) Long-Term View and GoalsAs a reminder, none of the content should be taken as investment, business, legal, or tax advice; please see a16z.com/disclosures for more important information, including a link to a list of our investments.
On this episode of Chit Chat Stocks, we speak with Ryan O'Connor of Crossroads Capital and Toan from 10West Advisors on AST SpaceMobile Stock (ticker: ASTS). Toan pitched Tesla in 2018, and Ryan pitched Nintendo. Both stocks have crushed the market from then until today. Since both are sharp investors, we wanted to bring them back on to get their perspectives on why they are so bullish on a pre-revenue satellite internet company. What is so special about AST SpaceMobile?The episode did not disappoint. We discuss:(04:00) Understanding AST's Vision and Technology(07:13) Identifying Market Opportunities and Historical Context(09:59) Technological Differentiation and Competitive Landscape(12:15) Addressable Market and Potential Applications(15:09) Concerns and Viability of Technology(17:44) First Responder Market and Emergency Connectivity(33:23) The Financial Landscape of First Responders' Connectivity(35:19) Demand Dynamics and Strategic Partnerships(37:44) Consumer Demand and Coverage Challenges(41:02) The Business Model and Consumer Engagement(44:26) Satellite Economics and Operational Viability(48:22) Skepticism and the Future of AST(50:53) Valuation Challenges and Pre-Mortem ConsiderationsCrossroads Capital: https://www.crossroadscap.io/10West Advisors: https://www.10westadvisors.com/*****************************************************JOIN OUR NEWSLETTER AND FREE CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************FinChat.io is the complete stock research platform for fundamental investors.With its beautiful design and institutional-quality data, FinChat is incredibly powerful and easy to use.Use our LINK and get 15% off any premium plan: finchat.io/chitchat *********************************************************************Bluechippers Club is a tight-knit community of stock focused investors. Members share ideas, participate in weekly calls, and compete in portfolio competitions.To join, go to Blue Chippers and apply! Link: https://bluechippersclub.com/*********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.
There's a $260B SME financing gap in MENA, and most players are still offering copy-paste solutions.In this episode of Couchonomics with Arjun, Craig Moore, Founder and CEO of Beehive, shares how one of the region's original fintechs is tackling real problems with real results.Since 2014, Beehive has built a lending model that combines technology, regulatory know-how, and operational depth to serve the segment banks continue to overlook.In this conversation, we explore: • What SME lending looks like on the ground in the GCC • Why Beehive shifted from peer-to-peer to institutional capital • How investor appetite is changing, from family offices to global VCs • The practical role of AI in credit decisioning • Beehive's plans for expansion into Saudi Arabia, Oman, and more
Episode 93. What's an agency business and what do you do after building one to 100 people and then selling? Retire?In this episode of the Lifetime at Work podcast, host Greg Martin interviews John Ghiorso, founder of Orca Pacific, an Amazon media agency, which he successfully built and sold. John shares his journey from an accidental agency owner to a seasoned entrepreneur now setting up a venture studio model to launch multiple niche-focused marketing agencies. Key topics include the dynamics of running and scaling agencies, the importance of aligning company values, the impact of AI on agency businesses, and strategies for hiring and retaining top talent.00:00 Introduction to the Podcast and Guest00:23 John's Agency Journey01:30 Understanding the Agency Business03:12 Starting and Scaling an Agency05:28 Retirement and New Ventures08:10 Hiring and Retaining Talent12:32 Company Culture and Values19:12 Deciding to Sell the Business22:09 Personal and Market-Based Reasons for Selling23:01 Navigating the Competitive Landscape of Amazon Agencies24:41 The Impact of COVID-19 on Business Strategy25:27 The Acquisition Process and Choosing the Right Partner26:49 Life After Acquisition: Working with Media Monks29:11 Reflections on Entrepreneurship and Leadership31:23 Advice for Aspiring Agency Professionals34:32 The Future of Agencies in an AI-Driven World43:31 Key Traits for Successful Agency Leaders46:56 Resources and Final Thoughts
In this engaging conversation, Dan and Anthony explore various themes surrounding entrepreneurship, product innovation, and public speaking. They discuss the competitive landscape of chickpea products, share insights from their experiences with Shark Tank, and pitch creative product ideas. The conversation also delves into the challenges and triumphs of public speaking, particularly in the context of accessibility and comedy, highlighting the importance of storytelling and audience engagement. In this engaging conversation, Dan and Anthony explore the intersection of comedy and music, sharing personal anecdotes from live performances and the challenges of mixing the two art forms. They discuss the thrill of performing in front of an audience, the importance of original music, and the adventures of late-night outings in New York City. The duo also delves into entrepreneurial ideas, nostalgic childhood games, and the creative process of songwriting, highlighting the growth and development that comes with practice. As they share humorous stories of hangovers and life updates, the conversation remains light-hearted and relatable, encouraging listeners to pursue their passions and embrace the ups and downs of life.~~~Call or Text the Podcast Hotline at +1-908-349-1480Or you can Email us to send in those questions to podcast@fourbadeyes.com More about Four Bad Eyes Podcast ► https://www.fourbadeyes.com TIKTOK: https://www.tiktok.com/@fourbadeyes INSTAGRAM: https://www.instagram.com/fourbadeyes ~~~More about Anthony Ferraro ► https://www.asfvision.com Anthony on Instagram: https://www.instagram.com/asfvision More about Dan Mancina ► https://www.keeppushinginc.com Dan on Instagram: https://www.instagram.com/danthemancina/ ~~~Chapters:00:00 Introduction to Chickpea Innovations01:52 Competitors and Market Landscape04:35 Entrepreneurial Aspirations and Shark Tank Insights07:27 Navigating Accessibility in E-commerce10:20 Pitching Unique Product Ideas13:08 Exploring Water Sports Innovations16:46 Funding and Valuation Insights18:50 Product Differentiation and Marketing Strategies20:22 Negotiation Dynamics and Deal Structures27:35 Respectful Communication and Social Interactions29:30 Live Event Experiences and Storytelling40:03 Reflections on Performance and Future Aspirations41:08 Comedy and Music: A Challenging Mix42:49 The Thrill of Performing Live44:17 The Journey of Original Music44:59 Late Night Adventures in NYC45:35 Ghosting and Celebrity Connections46:26 Weathering the Storms of Life47:19 Entrepreneurial Ideas and Innovations49:55 Childhood Games and Nostalgia51:57 Songwriting: Crafting Meaningful Lyrics54:09 Musical Growth and New Beginnings57:05 Musical Reflections and Inspirations01:00:01 Parenting Moments and Family Life01:02:52 Social Adventures and Night Out Stories01:09:41 Career Changes and Personal Growth~~~Podcast Intro & Outro done by @BlindSurfer Pete Gustin find out more at ► https://www.petegustin.com
On this episode of Chit Chat Stocks, Ryan goes through a research report on a burgeoning network effect business hiding in plain sight: Instacart (Ticker: CART). We discuss:(03:10) The Genesis of Instacart(07:20) Building the Marketplace Network(11:08) Understanding the Transaction Mechanics(22:04) Monetization Strategies and Advertising(27:14) Competitive Landscape and Market Positioning(33:08) Consumer Behavior and App Segmentation(41:42) Management Changes and Leadership Concerns(51:14) Financial Projections and Growth Outlook*****************************************************JOIN OUR NEWSLETTER AND FREE CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************FinChat.io is the complete stock research platform for fundamental investors.With its beautiful design and institutional-quality data, FinChat is incredibly powerful and easy to use.Use our LINK and get 15% off any premium plan: finchat.io/chitchat *********************************************************************Bluechippers Club is a tight-knit community of stock focused investors. Members share ideas, participate in weekly calls, and compete in portfolio competitions.To join, go to Blue Chippers and apply! Link: https://bluechippersclub.com/*********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.
In this episode of The Future of Water, host Reese Tisdale is joined by Bluefield Analyst Christine Ow to explore one of the fastest-evolving segments in the water sector: metering. Christine shares insights from Bluefield's new report, Global Water Metering Outlook: Evolving Technology Trends, Business Models, Competitive Landscape, and Leading Companies, which offers a detailed view of the US$6.8 billion global metering market. With digital transformation accelerating, water meters are no longer just endpoints—they're becoming the digital backbone of utility networks. The discussion highlights how business models are shifting toward subscription-based offerings, how telecom players are entering the space, and how leading vendors are leveraging analytics and AI to create new value for utilities and customers alike. Key topics covered: The shift from traditional meter replacement cycles to subscription-based models The entry of telecom players supporting smart meter rollouts, especially in Europe How vendors are integrating analytics and artificial intelligence to deliver more than just water measurement Market-specific trends, including policy shifts in the U.S., AMP8 in the U.K., and funding in Spain Why static and ultrasonic meters are gaining traction in mature markets as costs decline If you enjoy listening to The Future of Water Podcast, please tell a friend or colleague, and if you haven't already, please click to follow this podcast wherever you listen. If you'd like to be informed of water market news, trends, perspectives and analysis from Bluefield Research, subscribe to Waterline, our weekly newsletter published each Wednesday. Related Research & Analysis: Global Water Metering Outlook: Evolving Technology Trends, Business Models, Competitive Landscape, and Leading Companies Metering-as-a-Service to Find Market Niche Europe Digital Water Market Outlook: Key Drivers, Competitive Shifts, and Forecasts, 2024–2033
Need financing for your next investment property? Visit: https://www.academyfund.com/ Want to join us in San Antonio, TX on June 11th & 12th? Visit: https://www.10xvets.com/events ____ Jason is the founder of John Galt Services, a Bali-based outsourcing company that connects businesses with high-performing, multilingual talent across Indonesia. With a focus on quality, training, and long-term impact, his team works in person from Bali to deliver reliable, professional support at global standards. A graduate of the U.S. Naval Academy and former Navy Surface Warfare Officer, Jason has spent over two decades leading product development and building enterprise software systems for startups and major financial institutions. He previously founded a data systems firm that served clients like Invesco and Bridgewater Associates. Today, he also serves as a lead developer and technical leader at VeteranCrowd. Fluent in Bahasa Indonesia and deeply embedded in the local community, Jason is passionate about creating meaningful opportunities through global collaboration. In this episode of the SABM podcast, Scott chats with Jason about: The Spark Behind John Galt Services: Bridging global opportunity with untapped talent in Indonesia. What Sets It Apart: High-caliber, multilingual professionals trained and managed locally in Bali. Jason's Path: From Navy officer and software developer to founder building impact abroad. Early Lessons: Navigating a competitive outsourcing market while prioritizing quality and purpose. What's Next: Growing one placement at a time toward full-service managed teams. Timestamps: 00:13 Reflecting on the Past Four Years 00:27 The End of Ring Knocker 01:19 Introducing John Galt Services 02:15 Discovering Indonesian Talent 04:06 The Business Proposition 08:37 The Start of a New Venture 15:45 Recruitment and Skill Matching 17:43 Goals and Future Plans 19:06 Expanding Services and Competitive Landscape 22:43 Journey to Indonesia and Life in Bali 24:52 Creating Opportunities and Making a Difference 26:36 Future Plans and Business Connections 28:03 A Story of Barbecue and Cultural Fusion Connect with Jason: LinkedIn If you found value in today's episode, don't keep it to yourself—share it with a colleague or friend who could benefit. And if you're a Service Academy graduate ready to elevate your business, we'd love for you to join our community and get started today. Make sure you never miss an episode—subscribe now and help support the show: Apple Podcasts Spotify Leave us a 5-star review! A special thank you to Jason for joining me this week. Until next time! -Scott Mackes, USNA '01
Today we are breaking down the work management software platform monday.com. Founded in February 2012, today monday.com has a market cap of over $14 billion. The platform has transformed a simple task management tool to a versatile platform serving numerous industries and use cases. I am joined by Ben Hensman, Portfolio Manager of the Global Tech Fund at Square Peg. He takes us through the story of monday.com and how they emerged as a winner amidst plenty of competition. There are critical lessons to be learned from its successful expansion into larger enterprise markets. We cover its impressive financial growth, innovative architectural design, and a move into AI. Please enjoy this breakdown of monday.com. Subscribe to Colossus Review For the full show notes, transcript, and links to the best content to learn more, check out the episode page here. —- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit joincolossus.com/episodes. Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes (00:00:00) Introduction to monday.com (00:01:35) The Origin Story of monday.com (00:02:30) Early Growth and Success (00:02:57) Product Flexibility and Customer Use Cases (00:05:14) Transparency, Trust, and Efficiency (00:12:19) Customer Success Stories (00:16:00) Expanding into Larger Enterprises (00:19:12) Innovative Database Architecture (00:24:11) Sales and Go-to-Market Strategies (00:36:14) Partner Program and Sales Models (00:38:46) Net Dollar Retention Trends (00:44:54) AI's Impact on monday.com (00:54:40) Financial Performance and Margins (01:03:22) Market Opportunity and Competitive Landscape (01:07:30) Valuation and Future Prospects (01:12:37) Lessons from monday.com
In this episode, Tu and Lei discuss their recent experiences at the Shanghai Auto Show and the evolving landscape of electric vehicles (EVs) in China. They reflect on the advancements in Chinese EV brands, the strategies of foreign automakers, and the innovative power swap technology that is gaining traction. They also discuss the notable absences of key figures, the insights gained from a roundtable discussion, and the standout vehicle designs and innovations presented. The conversation also touches on the driving experiences with intelligent driving systems and highlights memorable models from the auto show. The hosts emphasize the globalization of the EV market and the future prospects for Chinese brands as they aim to expand internationally. The conversation concludes with predictions for the future of EVs and the industry's direction.Key wordsChina EV, electric vehicles, Shanghai Auto Show, NIO, foreign automakers, power swap technology, intelligent driving, EV market trends, automotive industry, Chinese brands, Auto Show, Electric Vehicles, EV Technology, Industry Insights, Vehicle Design, Market Trends, China EV Market, Automotive Innovations, Roundtable Discussion, Competitive Landscape
Check out my newsletter at TKOPOD.com and join my new community at TKOwners.com.I sat down with Robert Scoble and we talked about the future. He's been around for the first Tesla ride, the early days of Uber, and now he's deep into AI, smart glasses, and even Neuralink. We covered where tech is heading next, why most people are still sleeping on it, and what happens when AI starts watching you and giving you advice. He also shared his thoughts on China's rise, virtual beings, and why America better wake up.You can find Robert on X at https://x.com/scobleizer where he posts his list of 800+ AI tools, aka “The Holodeck.”Timestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 The Future of AI: Underhyped or Overhyped?02:58 The Evolution of Mixed Reality and Wearable Tech06:08 AI in Everyday Life: Tools and Gadgets08:58 The Impact of AI on Business and Entrepreneurship12:05 Neuralink and the Future of Human-Machine Interaction14:55 Comparing the AI Boom to the Dot-Com Boom18:10 The Global Race in AI and Robotics20:51 Innovation and Creativity in a Competitive Landscape
This is Zack Fuss. Today, we are breaking down Interactive Brokers, widely recognized as IBKR. Founded in 1978, Interactive Brokers evolved from a market maker on the American Stock Exchange to a global, cutting-edge electronic brokerage firm. Its founder, Thomas Peterffy, remains far and away its largest shareholder and has earned his place as one of the wealthiest people in the world. To break down IBKR, I'm joined by Freddie Lait and Jacopo Di Nardo of Latitude Investment Management. We explore the journey of IBKR from its early days as Timber Hill to its current status as a publicly traded company with a market cap of nearly $80 billion. We also discuss their differentiated tech stack, their global reach, and their famously low fees. Please enjoy this breakdown of Interactive Brokers. Subscribe to Colossus Review For the full show notes, transcript, and links to the best content to learn more, check out the episode page here. —- This episode is brought to you by Octus, formerly Reorg, is the essential credit intelligence and data provider for nearly 40,000 professionals across the world's leading buy side firms, investment banks, law firms and advisory firms. By surrounding unparalleled human expertise with embedded AI technology, data and workflow tools, Octus unlocks powerful truths that fuel decisive action in financial markets. Visit octus.com to learn how rigorously verified intelligence is delivered at speed to create a complete picture across the entire credit lifecycle. —- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit joincolossus.com/episodes. Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes (00:00:00) Welcome to Business Breakdowns (00:03:41) Overview of Interactive Brokers (00:04:53) Revenue Streams and Business Model (00:06:15) Competitive Landscape and Differentiation (00:08:38) Founder Thomas Peterffy's Story (00:11:31) Payment for Order Flow and Market Access (00:13:41) Automation and Risk Management (00:16:50) Customer Experience and Balance Sheet Strategy (00:26:33) Growth Opportunities and International Expansion (00:34:34) Valuation and Financial Metrics (00:37:28) Risks and Stress Tests (00:42:13) Lessons From IBKR
The Investing Power Hour is live-streamed every Thursday on the Chit Chat Stocks Podcast YouTube channel at 5:00 PM EST. This week we discussed:(03:52) Warren Buffett's Retirement Announcement(11:02) Berkshire Hathaway's Future Leadership and Investment Strategy(13:40) Apple vs. Google: The Search Engine Battle(23:02) Apple's In-App Purchase Controversy(28:53) Coupang's Earnings Report and Growth Strategy(37:06) Remitly's Performance and Competitive Landscape(38:25) Uber's Financial Performance and Market Position(41:30) Waymo's Impact on Uber's Future(45:25) Portillo's Earnings and Growth Potential(51:18) Remitly's Market Position and Growth Prospects(56:23) Earnings Reports: Highlights and Lowlights*****************************************************JOIN OUR NEWSLETTER AND CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************FinChat.io is The Complete Stock Research Platform for fundamental investors.With its beautiful design and institutional-quality data, FinChat is incredibly powerful and easy to use.Use our LINK and get 15% off any premium plan: https://finchat.io/chitchat *********************************************************************Bluechippers Club is a tight-knit community of stock focused investors. Members share ideas, participate in weekly calls, and compete in portfolio competitions.To join, go to Blue Chippers and apply! Link: https://bluechippersclub.com/*********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.
Welcome to this incredible episode, where we break down why selling is actually an act of service! and how avoiding sales might be stopping the very people who need your help the most.Learn why so many gym owners struggle with sales, the mindset shift that will transform your business, and how to create a system that turns conversations into committed members without high-pressure tactics.✨ Whether you own a boutique fitness studio, a big box gym, or you're starting your fitness business, this will be gold for your gym sales!Download your FREE boutique fitness industry report: https://links.buzops.com/widget/form/UxVf0bByo1xHJplEwLui✅ TIME STAMPS FOR BETTER NAVIGATION:0:00:00 - Fitness Industry Trends 0:00:18 - Sales Challenges in Boutique Gyms 0:00:34 - Jack's Journey into the Fitness Market 0:10:36 - Recognizing Market Gaps 0:13:27 - Competitive Landscape 0:16:16 - Fitness Culture in Asia 0:22:25 - Global Fitness Market Differences 0:37:18 - Fit Guide Development and Evaluation Process 0:47:28 - Hiring Challenges in the Fitness Industry 0:52:46 - Concluding Thoughts and Contact InformationFollow us in socials and access the best gym management software tools for your gym:https://www.instagram.com/buzops/https://www.facebook.com/buzops
On this wild episode of the Free Outside Podcast, we talk with filmmaker Derrick Lytle and into everything Cocodona 250 — from race predictions and course changes to the strength-versus-speed debate heating up in the ultra scene. But first? We take on the internet's most absurd hypothetical: could 100 men beat a silverback gorilla? (Spoiler: probably not.) We trade predictions on Courtney Dauwalter, Ryan Sandes, Mike McKnight, and more while roasting obstacle racers, dissecting mud strategies, and dreaming up the ultimate post-race media blitz. Expect hot takes, cold-weather prep, and plenty of laughs in this pre-race breakdown of one of the most exciting 200-milers of the year.Check out Derrick's Youtube Channel: @TheJuniperLab Chapters00:00 Introduction and Light Banter03:00 The Gorilla Debate: Humans vs. Nature06:01 Cocodona 250: Anticipation and Excitement08:53 The Impact of the Courtney Effect12:03 Women in Ultra Running: Breaking Barriers15:07 Course Changes and Challenges in Cocodona18:01 Weather and Its Influence on Performance21:01 The Evolution of Ultra Running Competitors23:57 CrossFit vs. High Rocks: A Lighthearted Comparison25:25 Transitioning from CrossFit to Endurance Sports26:26 Mike McKnight's Preparation for Cocodona29:11 The Debate on Strength Training for Runners30:25 DJ Fox: The Obstacle Course Racer's Edge31:47 Predictions for Cocodona 25033:27 Weather and Logistics Impacting Race Performance35:51 The Competitive Landscape of Cocodona 25038:10 Emerging Athletes and Dark Horses40:06 Nutrition Strategies for Ultra Runners42:23 Broadcasting Challenges at Cocodona 250Subscribe to Substack: http://freeoutside.substack.comSupport this content on patreon: HTTP://patreon.com/freeoutsideBuy my book "Free Outside" on Amazon: https://amzn.to/39LpoSFEmail me to buy a signed copy of my book, "Free Outside" at jeff@freeoutside.comWatch the movie about setting the record on the Colorado Trail: https://tubitv.com/movies/100019916/free-outsideWebsite: www.Freeoutside.comInstagram: thefreeoutsidefacebook: www.facebook.com/freeoutside
On episode 90 of The Side Hustle Experiment Podcast John (https://www.instagram.com/sidehustleexperiment/) and Drew (https://www.instagram.com/realdrewd/) talk with Kyle (https://www.instagram.com/thrivewithmurphy/) and Eliah (https://www.instagram.com/createwithvsn/)They delve into the world of User-Generated Content (UGC) and how creators can monetize their skills. They discuss the journey of UGC creators, the transition from e-commerce to UGC, overcoming fears of being on camera, and the importance of authenticity. The conversation also covers pricing strategies, negotiation tactics, and the future of UGC in the age of AI. Listeners will gain insights into building a successful UGC career and the opportunities available in this growing field. In this conversation, Kyle Murphy and Eliah discuss the evolving landscape of content creation, emphasizing the importance of storytelling, the shift from traditional influencers to user-generated content (UGC) creators, and strategies for securing high-value brand deals.Chapters00:00 Introduction to UGC and Monetization Strategies02:53 The Journey of UGC Creators05:53 Transitioning from E-commerce to UGC09:09 Overcoming Camera Fear and Building Confidence11:54 Finding Your Niche and Authenticity in Content14:53 Understanding Pricing and Negotiation in UGC17:50 The Future of UGC and AI's Impact20:52 Navigating the Competitive Landscape of UGC33:32 The Power of Storytelling in Content Creation34:41 Navigating YouTube and Long-Form Content36:29 Maximizing Value in Video Production38:39 The Shift from Influencers to UGC Creators40:11 Securing High-Value Brand Deals42:44 Leveraging Product Collaborations for Value45:31 Bartering and Collaborating for High-Value Products48:52 Aspirations Beyond UGC: TV and Film Goals51:14 Advice for Aspiring Creators: Start with Knowledge57:43 The Importance of Over-Delivering in Client Work#amazonfba #amazonfbatips #sidehustleexperimentpodcast Follow us on Instagram: https://www.instagram.com/sidehustleexperimentpodcast/ Listen on your favorite podcast platformYoutube: https://bit.ly/3HHklFOSpotify: https://spoti.fi/48RRKcPApple: https://apple.co/4bmaFOk Check out Drew's StuffInstagram: https://www.instagram.com/realdrewdTwitter: https://twitter.com/DrewFBACheck out John's StuffInstagram: https://www.instagram.com/sidehustleexperiment/Twitter: https://twitter.com/SideHustleExp FREE Resources✅ AVOID Price Tanking with The Tank Test Check List https://bit.ly/44FMt6M✅ 10 Questions to Ask A Prep Center Before Hiring Them: https://bit.ly/3K3HQK4 ✅ How to Make your first $500 Reselling: https://bit.ly/3UJS47g✅ Get the Discount Calculator: https://bit.ly/4dEhaNN ✅ The OA Tracking Spreadsheet: https://bit.ly/4bfqupO (the spreadsheet I use to run my Amazon Business)
Guy Morris is a legend in the real estate business and in this episode, you will hear why. He started in advertising but quickly realized that real estate was where it was at for him. Guy shares with Chris Ressa his experiences in building a portfolio, the resilience of retail real estate post-COVID, and the current dynamics of the market in New York City. He emphasizes the importance of central business districts, the shift in tenant profiles, and the competitive landscape of real estate investment. The stories of some of Guy's deals are not to be missed. Exploring themes such as sale leasebacks, the impact of 9/11 on property values, and the strategic use of air rights. They reflect on the evolution of Floor Area Ratios (FAR) and its implications for future developments. The discussion also touches on nostalgia for iconic retailers like Toys R Us and the joy of giving $2 bills, highlighting the personal connections and stories behind these experiences.TakeawaysGuy emphasizes the importance of central business districts in real estate investment.He prefers deals that allow for value enhancement rather than passive income.The retail real estate market has shown resilience post-COVID, contrary to initial fears and many markets have recovered from COVID-related challenges.The competitive landscape in New York remains strong, with more buyers than sellers.Interest rates and cap rates have both increased, affecting deal structures.Guy shares a unique deal experience where he acted as both broker and buyer. Sale leasebacks can provide low initial cash flow but future value.The impact of significant events like 9/11 can reshape real estate markets.Air rights can be a lucrative asset in urban development.FAR changes can lead to unexpected windfalls for property owners.Chris' three questions: Nostalgia for brands like Toys R Us reflects deeper connections to childhood.Retail experiences are evolving with consumer preferences.Creative financing strategies can enhance investment returns.The joy of giving can create meaningful connections with others.Long-term real estate investments can yield significant returns over time.Chapters00:00 Introduction to Guy Morris and His Journey03:11 Transitioning to Real Estate and Building a Portfolio05:57 Current Business Model: Ownership vs. Brokerage08:57 Types of Deals and Value Enhancement Strategies11:59 Resilience of Retail Real Estate Post-COVID14:52 Market Dynamics: Supply, Demand, and Tenant Changes17:58 Current Landscape of Retail Real Estate in Metro New York20:53 Competitive Landscape and Investment Trends24:03 Unique Deal Experiences and Insights27:47 Navigating Sale-Leasebacks and Financing Strategies30:09 The Impact of 9/11 on Real Estate Transactions32:13 Leveraging Air Rights for Profit34:36 The Evolution of FAR and Its Implications38:34 Reflections on Retail and Nostalgia42:24 The Joy of Giving: $2 Bills and Their Significance
On this episode of Chit Chat Stocks, Brett dives into Interactive Brokers (IBKR) and why he has purchased the stock for his portfolio. We discuss:(03:33) The History and Evolution of IBKR(10:51) Understanding IBKR's Platform and User Experience(12:23) Growth and Market Share of IBKR(14:48) Personal Investing Journey and Transition to IBKR(21:52) Management Culture and Organizational Structure(28:23) Competitive Dynamics and Future Growth Potential(30:41) IBKR's Global Growth Potential(33:06) Tracking Account Growth as a Metric(35:03) Competitive Advantages of IBKR(35:26) Understanding IBKR's Culture and Management(38:38) Navigating the Competitive Landscape(40:51) Valuation Insights and Financial Metrics(49:42) Investment Decisions and Future Outlook(53:29) Macro Trends and Their Impact on IBKR*****************************************************JOIN OUR NEWSLETTER AND FREE CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************FinChat.io is the complete stock research platform for fundamental investors.With its beautiful design and institutional-quality data, FinChat is incredibly powerful and easy to use.Use our LINK and get 15% off any premium plan: finchat.io/chitchat *********************************************************************Bluechippers Club is a tight-knit community of stock focused investors. Members share ideas, participate in weekly calls, and compete in portfolio competitions.To join, go to Blue Chippers and apply! Link: https://bluechippersclub.com/*********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.
Send Us a Text MessageThe podcasting industry is changing fast; what worked just one year ago won't cut it today! Thankfully, there's a smart approach you can take to stay ahead. In this episode, Seth Silvers and Alex Sanfilippo explain how to position for future success as a podcast host or podcast guest. From platform updates to new audience behaviors, they reveal what hosts and guests can expect in the future. Get ready for a look at where podcasting is headed and how to make sure you don't get left behind!MORE FROM THIS EPISODE: HTTPS://PODMATCH.COM/EP/329Chapters00:00 Introduction and Background02:23 State of Podcasting: Current Trends and Data06:15 The Competitive Landscape of Podcasting11:30 The Role of Video in Podcasting15:13 Improving Show Quality and Guest Preparation19:24 Understanding Podcast Analytics23:13 Retention Strategies and Listener Engagement27:56 Final Thoughts on Audience ConnectionTakeawaysThe podcasting industry is becoming more competitive and maturing.Only 400,000 out of 4 million podcasts are considered active.YouTube is gaining traction in the podcasting space with significant viewership.Podcasters need to improve show quality and be unique in their premise.Analytics should focus on listener behavior and audience growth, not just downloads.Shorter intros can lead to better listener retention.Guests should invest in quality gear for better audio and video.Hosts should control their own audio quality and set expectations for guests.Understanding your audience is crucial for podcast growth.Building rapport between hosts and guests enhances listener connection.MORE FROM THIS EPISODE: HTTPS://PODMATCH.COM/EP/329
Simon Hughes and Simon Mann are joined by Daily Telegraph cricket writer and author Tim Wigmore to discuss the backstory, the current state and the future prosperity of the Test format as examined in Tim's new book Test Cricket: A History. The conversation ranges from the origins of the Test match idea, with just three countries involved, how it expanded, chronicling key matches, turning points and characters, how the great 1970s West Indies and 1990s Australia were formed, and why Australia are consistently so much better than everyone else. Finally we consider if India can dominate in the same way and how the Test format can survive and prosper. To buy Tim's book visit https://amzn.eu/d/1Qrtofk To enter our free competition for Lord's Test tickets subscribe to THE CRICVERSE at https://cricverse.substack.com/p/county-crickets-saviour?r=lo2wd CHAPTERS - 00:00 The Brutality of Test Cricket 01:40 Exploring the History of Test Cricket 04:34 The Evolution of Test Match Selection 07:22 The Global Expansion of Test Cricket 10:40 Key Moments and Shifts in Test Cricket 13:18 The Impact of Prejudice in Team Selection 16:17 The Competitive Landscape of Test Cricket 19:11 Looking Ahead: The Future of Test Cricket 21:05 Cricket's Golden Age: A Historical Perspective 23:55 The Evolution of Test Cricket and Key Matches 28:24 The Rise of India in Test Cricket 32:05 Australia's Dominance and Cultural Impact on Cricket 34:47 The Future of Test Cricket: Challenges and Opportunities 41:39 Preserving Test Cricket in a Changing Landscape Learn more about your ad choices. Visit podcastchoices.com/adchoices
Today we are breaking down Ecolab, a global sustainability leader offering water, hygiene, and infection prevention solutions that protect people & the resources vital to life. As of this recording, Ecolab has a $66 billion market cap and protects over 36% of the world's packaged food supply and over 44% of the global milk supply. My guest is Todd Wenning, founder of KNA Capital Management, who has a knack for finding interesting businesses. We get into Ecolab's very on-brand origin story, how the business kept that core focus throughout its history, and how it became one of two vendors that any US McDonald's must work with. Please enjoy this Breakdown on Ecolab. Subscribe to Colossus Review For the full show notes, transcript, and links to the best content to learn more, check out the episode page here. —- This episode is brought to you by Octus, formerly Reorg, is the essential credit intelligence and data provider for nearly 40,000 professionals across the world's leading buy side firms, investment banks, law firms and advisory firms. By surrounding unparalleled human expertise with embedded AI technology, data and workflow tools, Octus unlocks powerful truths that fuel decisive action in financial markets. Visit octus.com to learn how rigorously verified intelligence is delivered at speed to create a complete picture across the entire credit lifecycle. —- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit joincolossus.com/episodes. Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes (00:00:00) Welcome to Business Breakdowns (00:03:24) Founding Story and Early Innovations (00:04:52) Ecolab's Modern Business Segments (00:06:10) Chemical Foundations and Major Acquisitions (00:07:05) Sustainability and Solid Chemical Solutions (00:08:36) Market Opportunities and Challenges (00:10:09) The Nalco Acquisition and Water Solutions (00:15:40) Customer Relationships and Sales Strategy (00:20:29) Economic Sensitivity and Resilience (00:22:34) Financial Performance and Growth Projections (00:24:34) Capital Allocation and M&A Strategy (00:25:58) Competitive Landscape and Market Position (00:28:20) Future Growth Drivers and Water Focus (00:37:18) Valuation and Investor Considerations (00:40:18) Lessons from Breaking Down Ecolab
Today's guest is Neil Mehta, founder of Greenoaks Capital. In 2012, aged 27, Neil left D.E. Shaw to start Greenoaks with his friend Benny Peretz. One of their first investments was in Coupang, a South Korean e-commerce company led by founder Bom Kim. Neil was so convinced of Coupang's potential that he invested 40% of their initial $50 million fund into the company—a bet that eventually returned about $8 billion. Over its first 13 years, Greenoaks has backed legendary companies like Figma, Wiz, Carvana, Stripe, Discord, Rippling, and Toast—generating over $13 billion in gross profits with a 33% net IRR. Henry Kravis, one of Neil's early investors, describes him as "extremely disciplined" with "exceptional timing" who has "gone against the tide many times." Greenoaks operates with remarkable concentration: just 55 core companies across nearly $15 billion in assets, managed by only nine investment professionals. Their approach reflects their singular pursuit: finding companies that will become a meaningful part of the S&P 500. In our wide-ranging conversation, Neil shares this mission along with his framework for identifying exceptional founders, his concept of "jaw-dropping customer experiences," and how his grandfather's gun shop in India shaped his appreciation for builders of all kinds. Please enjoy my excellent conversation with Neil Mehta. Neil Mehta's Profile in Colossus Review. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. 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. – This episode is brought to you by Ridgeline. 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. Head to ridgelineapps.com to learn more about the platform. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:06:32) Connecting Craftsmanship to Career (00:07:45) The Concept of Jaw Dropping Customer Experience (JDCE) (00:09:48) Building a Successful Business: The Coupang Case Study (00:17:26) The Importance of Founders & Business Models (00:30:05) Greenoaks' Unique Approach to Venture Capital (00:37:54) A Memorable Encounter with Henry Kravis (00:40:52) Early Career and Lessons from Hong Kong (00:44:53) The Partnership with Benny (00:50:28) Navigating the Competitive Landscape (00:59:14) High Conviction Investments: TripActions, Rippling, and Carvana (01:07:00) Investment Strategy and Company Evaluation (01:13:23) Adventures in Emerging Markets (01:17:09) Challenges and Lessons Learned (01:26:16) Personal Values and Community Impact (01:32:16) The Kindest Thing Anyone Has Ever Done For Neil
Welcome to this week's episode of the Your Gym Big Sister Pod where I sit down with Loz Vickers, and we chat all about embracing the off-season and the fun parts of bodybuilding!Chapters00:00 Introduction to Bodybuilding and Off-Season Insights03:01 Loz's Journey: From Struggles to Bodybuilding Success06:10 Transitioning from Bikini to Figure: A Personal Evolution08:59 The Importance of Off-Season in Bodybuilding11:46 Lessons from Competition: Winning vs. Enjoying the Process15:08 The Balance of Life and Bodybuilding18:02 Understanding the Competitive Landscape for Female Bodybuilders21:05 The Joy of Bodybuilding: Passion Over Pressure23:57 Sustainable Practices in Bodybuilding26:58 Final Thoughts: Embracing the Journey of Bodybuilding31:43 Bodybuilding: The Personal Journey34:40 Navigating the Transition to Bodybuilding39:49 The Importance of Off-Season Training46:55 Finding Joy in the Off-Season55:34 Understanding Productive Surplus vs. Bulking57:53 Embracing Individuality in Body Composition01:01:09 The Reality of Bodybuilding and Health01:05:04 The Importance of Self-Acceptance01:10:00 Navigating Disordered Eating and Body Image01:16:46 Thriving in the Off-Season01:21:24 Building a Sustainable Bodybuilding LifestyleI hope you enjoy, and if you do, don't forget to share it on IG and tag me @emma.currivan and Loz @loz.vCHAT TO ME ABOUT COACHING ON WHATSAPPJOIN TEAM EXCELLENCE COACHING To submit a question for a Q&A episodeclick hereDon't forget to subscribe to my YouTube channel!To join my FREE CIRCLE COMMUNITYclick here1MR Discount Code: EMMA10Catch you in the next one xo
Today we are breaking down Goosehead Insurance. I always enjoy hearing about how a new entrant has effectively carved out a niche in a world of incumbents and Goosehead fits that billing perfectly. I'm joined by Geoff Collette, founder and PM of Aeon Capital Partners, and he walks us through the story of Goosehead identifying a bottleneck in the home-buying process. We also cover the evolving market, where captives like State Farm and Allstate are leaving opportunities for independent players like Goosehead to provide value. There's a lot to learn from Goosehead and its evolution, with notable themes like technology, the franchising model, and an emphasis on speed. Please enjoy this breakdown on Goosehead Insurance. Subscribe to Colossus Review For the full show notes, transcript, and links to the best content to learn more, check out the episode page here. ----- Octus, formerly Reorg, is the essential credit intelligence and data provider for nearly 40,000 professionals across the world's leading buy side firms, investment banks, law firms and advisory firms. By surrounding unparalleled human expertise with embedded AI technology, data and workflow tools, Octus unlocks powerful truths that fuel decisive action in financial markets. Visit octus.com to learn how rigorously verified intelligence is delivered at speed to create a complete picture across the entire credit lifecycle. —- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit joincolossus.com/episodes. Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes (00:00:00) Welcome to Business Breakdowns (00:04:26) How Goosehead Attracts Customers (00:05:15) Market Focus and Business Scale (00:06:07) Goosehead's Growth and Key Players (00:08:51) The Founding Story of Goosehead (00:12:28) The Shift from Captive to Independent Agents (00:15:29) Challenges in the Insurance Market (00:19:37) Goosehead's Unique Business Model (00:36:42) Franchising and Corporate Strategy (00:41:00) Operational Challenges and Strategic Adjustments (00:46:28) Financial Performance and Future Prospects (01:00:29) Competitive Landscape and Risks (01:07:40) Valuation and Lessons From Goosehead
In this episode, we sit down with Sara Schweitzer, a passionate recruiter in Stryker's spine division, whose journey into medical sales and recruiting is anything but ordinary. Sara opens up about her transition from the pharmaceutical world at AbbVie—where, during the pandemic, her work felt more like moving boxes than impacting lives—to finding real purpose in helping others land life-changing careers in med tech. Sara gets real about what it takes to succeed in this competitive industry. From breaking down the misconceptions about medical sales to highlighting the grit, resilience, and self-awareness it truly demands—especially in high-pressure specialties like spine—she offers listeners a refreshingly honest perspective. She also dives into the tools she uses to match candidates with the right roles, and explains how programs like Evolve Your Success are helping future reps find clarity before they ever step into an interview. With many successful placements under her belt, Sara's advice is packed with both heart and hard truths. We also step into her world outside of work—her excitement about becoming a mother, her love of fantasy novels, and how her personal values shape the way she leads and connects with people. Whether you're already in the field or just exploring the idea of medical sales, this episode delivers actionable insights, relatable stories, and the inspiration to take the next right step in your career. Connect with Sara: LinkedIn Connect with Me: LinkedIn Love the show? Subscribe, rate, review, and share! Here's How » Want to connect with past guests and access exclusive Q&As? Join our EYS Skool Community today!
SummaryIn this conversation, Maurie and Jim Beasley discuss their experiences at the ASU GSB Air Show, focusing on the challenges and opportunities surrounding AI in education. They explore budget constraints affecting attendance, the slow adoption of AI technologies in school districts, and innovative applications of AI to enhance teaching and professional development. The discussion also touches on market dynamics, competition among AI providers, and the future of AI in education, concluding with reflections on the conference and the importance of addressing the digital divide in education.Chapters00:00 Introduction and Overview of ASU GSB Air Show03:01 Budget Constraints in Education and AI Adoption05:53 Innovative Uses of AI in Education08:54 The Role of AI in Teacher Efficiency12:02 The Future of AI in Education14:47 The Competitive Landscape of AI Tools18:03 Google's Influence and Market Dynamics20:58 Reflections on the Conference and Future Trends23:59 Closing Thoughts and Future Directions
Few things are more ironic than releasing a China focused episode on Liberation Day. Nevertheless, here we go!In this episode of The Business Brew, host Bill Brewster interviews Jingshu Zhang, a persistent listener who recommended looking into China's investment opportunities. Zhang shares his journey from studying in the United States to becoming a successful investor with a unique focus on Chinese assets. They discuss Zhang's experience navigating the Chinese market, the impact of geopolitical tensions, the advantages of holding Chinese state-owned enterprises (SOEs), and specific investment opportunities like Pinduoduo and Tencent. Zhu offers insights into managing risk, the macroeconomic environment, and the regulatory landscape in China. Disclaimer: All content is for entertainment purposes only and not financial advice. 00:00 Introduction and Guest Background 01:15 Investment Opportunities in China 04:04 Challenges and Sentiments Towards Chinese Investments 08:15 Competitive Landscape and Market Dynamics 15:50 Case Study: TK Group and Industrial Sector Insights 22:55 Pinduoduo's Growth and Strategy 34:37 Exploring Global Investment Opportunities 35:19 US Market Insights and Mid Cap Focus 36:08 Tech Giants and Valuation Comparisons 36:13 Tencent: The Super App of China 43:32 State-Owned Enterprises and Investment Safety 53:20 Environmental Regulations and Investment Opportunities 56:59 Delisting Fears and Investment Strategies 01:04:09 Short Selling Challenges and Lessons Learned 01:07:49 Final Thoughts and Contact Information
Imran and Qiao sat down to discuss how AI and Robotics steal Crypto's thunder.No BS crypto insights for founders.Timestamps(00:00) Intro(00:47) The Only Narrative in Crypto Right Now(01:41) Competitive Landscape in Crypto(04:50) Robinhood's Future Plans(11:42) Future of Crypto Innovation(12:00) Noise (noise.xyz)(13:15) Circle IPO(16:51) USDC vs USDT(18:00) Predictions for Circle's Future(18:49) Circle & CCTP(20:07) Kraken Acquiring NinjaTrader(21:19) Where Are We in The Market?(26:28) China, US and Global Markets(32:46) Manus vs. Gemini(34:45) Sesame AI(35:40) Will Google Have The Best AI?(38:24) AI Investment and Valuation(40:08) AI Coding(44:26) AI in Startup Development and Innovation(44:47) Poof.new(46:57) Niche Apps and Micro Unicorns(49:34) Young Founders & Education(50:47) "Google/Harvard doesn't give you status" - Nikita Bier(52:36) Alpha School - AI-Powered Private School(55:52) AI Doctors(01:01:11) AI Replacing Jr. Jobs(01:02:51) Parenting and Teaching Agency(01:06:18) Tailoring Education to Children's InterestsSpotify: https://spoti.fi/3N675w3Apple Podcast: https://apple.co/3snLsxUWebsite: https://goodgamepod.xyzTwitter: https://twitter.com/goodgamepodxyzWeb3 Founders:Apply to Alliance: https://alliance.xyzAlliance Twitter: https://twitter.com/alliancedaoDISCLAIMER: The views expressed herein are personal to the speaker(s) and do not necessarily reflect the views of any other person or entity. Discussions and answers to questions are intended as generalized, non-personalized information. Nothing herein should be construed or relied upon as investment, legal, tax, or other advice.
SummaryDiscover why "business as usual" fails in the world's toughest places. Viva Ona Bartkus sits down with Raj Kumar to reveal the counterintuitive tactics that unlock massive opportunities where others fear to tread. Learn why:The most successful security strategy isn't higher walls – it's community ownershipHow to turn "middlemen with guns" into business partnersWhy Chinese companies are winning while Western firms hesitatePlus: The radical partnership model that's transforming dangerous markets from Uganda to Colombia. Bartkus shares explosive insights from 15+ years working with multinationals, Special Forces, and local communities in conflict zones.Chapters00:00 Embedding Business in Local Communities01:53 The Journey to Frontline Markets07:02 Understanding Market Dynamics11:18 The Role of Middlemen in Local Economies12:45 Security Through Community Engagement16:14 The Next Round of Globalization20:02 The Competitive Landscape of Global Investment23:42 Collaboration Between Security and Development25:28 Bridging the Gap Between Business and Humanitarian Efforts28:41 The Role of ESG in Business Strategies31:17 Adapting Business Models for Extractive Industries36:43 The Future of Development FinanceWant to stay updated on the latest news in global development? Subscribe to Devex's Newswire: https://www.devex.com/newsletters/newswire
In this freeform episode, Logan sits down with Zach Weinberg (Co-Founder and CEO of Curie.Bio) to break down two of the biggest storylines in tech: tariffs and AI.They banter through the core arguments for and against tariffs, including national security, domestic employment, and negotiation power. Plus, they revisit what's happened in past trade wars and share predictions on the real economic consequences this time around.Logan and Zach also discuss OpenAI's $40B raise and the broader race for AI dominance—can OpenAI maintain its lead against tech giants like Google and Apple? They debate the limits of product defensibility, the power of platform defaults, and the strategic moves OpenAI might need to make to stay ahead.Topics include:The arguments for and against tariffsWhat happened during past U.S. tariff cycles—and how this one comparesWhether OpenAI can maintain its edge in a world of native AI platformsA possible playbook for OpenAI to build user lock-in beyond utilityWhat this era of AI competition means for the U.S.—and what could derail ithttps://fdra.org/wp-content/uploads/2025/03/Trade-War-Lessons-from-the-Past-2025.pdf?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axiosmacro&stream=business00:00 Intro01:35 Liberation Day and Global Trade02:13 Freeform Discussion on Various Topics02:44 Podcasting and VC Life03:32 Debating Tariffs and National Security11:26 Arguments Against Tariffs22:19 Historical Context of Tariffs26:58 Economic Predictions and Stagflation33:39 The Forgotten Lessons of Recessions36:02 The Fixed vs. Growth Mindset in Economics37:17 The Democratic Party's Shift on Economic Policies42:33 The Rise of Populism and Its Impact50:28 OpenAI's Explosive Growth and Challenges54:28 The Competitive Landscape of AI58:33 The Future of AI and Consumer Behavior01:07:20 The Role of Social Networking in AI's Future01:10:43 Wildcard: The Role of XAI and GrokExecutive Producer: Rashad AssirProducer: Leah ClapperMixing and editing: Justin HrabovskyCheck out Unsupervised Learning, Redpoint's AI Podcast: / @redpointai
In this episode of TechSurge, host Sriram Viswanathan sits down with Charlie Giancarlo, Chairman and CEO of Pure Storage, to discuss the evolution and future of data storage in the digital age. Charlie shares insights from his career spanning his pivotal role in Cisco's success as a networking pioneer, to his leadership in transforming Pure Storage into a leader in innovative storage solutions.They explore the evolution of data center infrastructure, and the critical role of storage architecture in enabling AI and cloud technologies. Charlie also explains how Pure Storage's software-driven approach is creating new efficiencies and opportunities for enterprises, offering a compelling vision for a unified "data cloud" that breaks down data silos and unlocks new insights.This episode delves into the intersections of networking, compute, storage, and AI, providing an essential perspective for anyone interested in the future of technology infrastructure.If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits.Links:Pure Storage Official Website: Explore Pure Storage's innovative data storage solutions. Pure Storage DataCharlie Giancarlo's Biography: Learn more about Charlie Giancarlo, Chairman and CEO of Pure Storage. Charlie GiancarloPortworx by Pure Storage: Discover Portworx, the Kubernetes data services platform acquired by Pure Storage. Wikipedia Portworx ASBIS – IT DistributorFlashBlade//EXA Announcement: Read about Pure Storage's FlashBlade//EXA, designed for high-performance computing and AI workloads. FlashBlade//EXA: The Future of AI and HPC Storage Performance
Paul Giliberto, head of management liability, private non-profit, Zurich Insurance, discusses the evolving private directors and officers insurance market, highlighting increased competition, the impact of M&A slowdowns and emerging risks such as rising bankruptcies and interest rate pressures. Giliberto spoke with AM Best TV at the PLUS D&O Symposium in New York City.
In this episode of the Shoot the Moon podcast, Matt Lockhart and Ryan Barnett discuss the key questions buyers ask when considering acquiring an IT services firm. The discussion provides insights for IT services business owners preparing for a potential sale, emphasizing the importance of being prepared, transparent, and able to clearly articulate the company's value proposition and growth potential. They cover critical areas including:Strategic fit: how does this acquisition fit into the buyers service offerings? does it compliment it, fill gaps, or extend service offerings? making the buyer more valuable? market expansion?revenue modelgeographycustomer concentrationhow you have grownProfitabilityFlexibility on deal structureSynergies in Processes / Platforms: What tools are in place to deliverables? Back office, front office, CRM etc... Having financials in order: do you know your revenue, profit, margins? Tip: Having confidence in the number for the potential buyerLeadership & Retention post-transaction: What is the seller looking for?Go-to-Market Strategy: Assessing sales, marketing, and customer acquisition approaches RELATED EPISODES:Episode 186: Dealing with Customer Concentration when Selling your Business. Listen now >>Episode 170: How to Become a Platform Investment. Listen now >>Episode 148: 6 Things that could be Surprises to Sellers. Listen now >> Listen to Shoot the Moon on Apple Podcasts or Spotify.Buy, sell, or grow your tech-enabled services firm with Revenue Rocket.
Today we are breaking down EssilorLuxottica, a global leader in the eyewear industry, formed by the merger of Essilor and Luxottica in 2018. Today the business sports a nearly $130 billion market cap. EssilorLuxottica represents a vertically integrated business, encompassing design, manufacturing, distribution, and retail operations across both vision care and eyewear fashion segments. To break down EssilorLuxottica, I am joined by Swetha Ramachandran who manages the Artemis ‘leading consumer brand' strategy and is co-manager of the ‘global select' and ‘global focus' strategies. Swetha analyzes the strategic rationale behind the merger, assessing how it shaped the company's competitive advantages. We discuss the economics of prescription lenses, high-fashion sunglasses, and iconic brands like Ray-Ban and Oakley. We also explore the impact of emerging technologies like Smart Glasses, the Ray-Ban Meta glasses, and evolving consumer preferences on the eyewear market, as well as the competitive impact of upstarts like Warby Parker. Please enjoy this breakdown of EssilorLuxottica. Subscribe to Colossus Review For the full show notes, transcript, and links to the best content to learn more, check out the episode page here. ----- Octus, formerly Reorg, is the essential credit intelligence and data provider for nearly 40,000 professionals across the world's leading buy side firms, investment banks, law firms and advisory firms. By surrounding unparalleled human expertise with embedded AI technology, data and workflow tools, Octus unlocks powerful truths that fuel decisive action in financial markets. Visit octus.com to learn how rigorously verified intelligence is delivered at speed to create a complete picture across the entire credit lifecycle. —- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit joincolossus.com/episodes. Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes (00:00:00) Welcome to Business Breakdowns (00:04:24) Essilor Luxottica: A Unique Business Model (00:05:08) Market Leadership and Revenue Breakdown (00:08:13) The Merger: Essilor and Luxottica (00:10:18) Financial Performance and Strategic Investments (00:12:22) Challenges and Competitive Landscape (00:18:37) Global Operations and Market Strategy (00:21:04) Innovations and Future Prospects (00:22:36) Financial Analysis and Capital Allocation (00:26:11) Competitive Pressures and Market Position (00:28:47) Geographic Footprint and Strategic Growth (00:30:44) Acquisitions and Strategic Endeavors (00:32:38) Partnerships and Technological Integration (00:35:13) Summary and Key Takeaways (00:41:36) Lessons from EssilorLuxottica
On this episode of Chit Chat Stocks, Brett gives a research report on Nu Holdings (ticker: NU). We discuss:(04:08) The Founding Story of Nu Holdings(07:31) Personal Anecdotes and User Experience in Banking(11:53) Management Team and Leadership Insights(18:44) Business Model Overview of Nu Holdings(31:12) Geographic Opportunities: Brazil and Mexico(38:39) Nu Holdings' Growth Strategy in Mexico(42:44) Competitive Landscape and Market Dynamics(53:19) Navigating the Credit Cycle and Economic Risks(58:41) Future Financial Projections and Valuation Concerns*****************************************************JOIN OUR NEWSLETTER AND FREE CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Sign-up for a bond account at Public.com/chitchatstocks A Bond Account is a self-directed brokerage account with Public Investing, member FINRA/SIPC. Deposits into this account are used to purchase 10 investment-grade and high-yield bonds. As of 9/26/24, the average, annualized yield to worst (YTW) across the Bond Account is greater than 6%. A bond's yield is a function of its market price, which can fluctuate; therefore, a bond's YTW is not “locked in” until the bond is purchased, and your yield at time of purchase may be different from the yield shown here. The “locked in” YTW is not guaranteed; you may receive less than the YTW of the bonds in the Bond Account if you sell any of the bonds before maturity or if the issuer defaults on the bond. Public Investing charges a markup on each bond trade. See our Fee Schedule. Bond Accounts are not recommendations of individual bonds or default allocations. The bonds in the Bond Account have not been selected based on your needs or risk profile. See https://public.com/disclosures/bond-account to learn more.*********************************************************************FinChat.io is The Complete Stock Research Platform for fundamental investors.With its beautiful design and institutional-quality data, FinChat is incredibly powerful and easy to use.Use our LINK and get 15% off any premium plan: finchat.io/chitchat *********************************************************************Bluechippers Club is a tight-knit community of stock focused investors. Members share ideas, participate in weekly calls, and compete in portfolio competitions.To join, go to Blue Chippers and apply! Link: https://bluechippersclub.com/*********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.
Today we are breaking down Watsco, the market leader in HVAC distribution with a unique value proposition. If you've ever had an air conditioning issue, there's a decent chance it was a Watsco distributor on the other side of that phone call. My guests today are Lucy Adams, Investment Director at Caledonia Investments, and Alan Murran, Co-Head of Public Companies at Caledonia Investments. Lucy and Alan help track the history of Watsco like the initial pivot from manufacturer to distributor and how Watsco formed relationships with the major OEMs like Carrier. We also dissect their reputation for a strong culture, with what has to be one of the most unique employee compensation plans in effect. Please enjoy this breakdown of Watsco. Subscribe to Colossus Review For the full show notes, transcript, and links to the best content to learn more, check out the episode page here. ----- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit joincolossus.com/episodes. Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes (00:00:00) Welcome to Business Breakdowns (00:03:34) Watsco's Role in HVAC Distribution (00:04:40) Watsco's Business Model and Services (00:06:42) Real-World Example of Watsco's Impact (00:09:28) Market Position and Competition (00:12:55) Historical Evolution of Watsco (00:15:52) Exclusivity Agreements in HVAC Industry (00:18:05) Residential vs. Commercial Operations (00:21:04) Growth Strategies and M&A Philosophy (00:26:45) Carrier Joint Venture and Future Opportunities (00:29:40) Watsco's Multi-Brand Acquisition Strategy (00:31:34) Gross and Operating Margin Expansion (00:33:24) Pricing Strategies and Market Dynamics (00:35:16) Recurring Revenue and Business Model (00:37:36) Cash Flow Management and Capital Allocation (00:40:52) Technology Adoption and Digital Transformation (00:45:50) Incentive Programs and Ownership Culture (00:50:45) Risks and Competitive Landscape (00:55:02) Lessons from Watsco
AI Applied: Covering AI News, Interviews and Tools - ChatGPT, Midjourney, Runway, Poe, Anthropic
In this conversation, Jaeden and Conor discuss the recent announcement regarding the delay of Apple's Siri update until 2027. They express their frustrations with Apple's slow progress in AI technology compared to competitors like Amazon and Google. The discussion delves into the complexities of Siri's architecture, the implications of the delay, and the future roadmap for Siri and Apple Intelligence. They also reflect on Apple's market position and the challenges it faces in the evolving tech landscape.Chapters00:00 Apple's AI Announcement and Siri's Delay02:52 Understanding Apple's Siri Architecture05:48 Future Updates and the Roadmap for Siri08:33 The Competitive Landscape and Apple's PositionAI Applied YouTube Channel: https://www.youtube.com/@AI-Applied-PodcastGet on the AI Box Waitlist: https://AIBox.ai/Conor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustle/about
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Mike Krieger is the Co-Founder of Instagram and now CPO @ Anthropic. In Today's Episode with Mike Krieger We Discuss: 03:07 Where Will Value Be Created and Sustained in a World of AI? 04:59 Are Foundation Models Commoditised Today? 08:36 Should Founders Build for the Models of Today or Build for Models of the Future 12:19: Why Will Models Become More Different Than More Similar 16:38: Will Human or Synthetic Data Be More Prominent in the Future 19:28 Model Quality vs. Product UX 23:36 The Competitive Landscape of AI 32:27 Do We Underestimate China's AI Capabilities 33:59 What Did Anthropic Learn from Deepseek 34:07 Is Deepseek a Sustaining and Credible Threat? 37:04 Transitioning from Model Provider to Application Provider 38:26 Where Has Anthropic Chronically Under-Invested 39:08 Why Has Anthropic Been Slow On Consumer Product Development 43:50 What is the Role of a Software Developer in the Future 48:29 Balancing API and Consumer Products 51:09 Is Europe Stronger or Weaker in a World of AI 52:40 Quickfire Round: Insights and Reflections
Today's episode is with Paul Klein, founder of Browserbase. We talked about building browser infrastructure for AI agents, the future of agent authentication, and their open source framework Stagehand.* [00:00:00] Introductions* [00:04:46] AI-specific challenges in browser infrastructure* [00:07:05] Multimodality in AI-Powered Browsing* [00:12:26] Running headless browsers at scale* [00:18:46] Geolocation when proxying* [00:21:25] CAPTCHAs and Agent Auth* [00:28:21] Building “User take over” functionality* [00:33:43] Stagehand: AI web browsing framework* [00:38:58] OpenAI's Operator and computer use agents* [00:44:44] Surprising use cases of Browserbase* [00:47:18] Future of browser automation and market competition* [00:53:11] Being a solo founderTranscriptAlessio [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.swyx [00:00:12]: Hey, and today we are very blessed to have our friends, Paul Klein, for the fourth, the fourth, CEO of Browserbase. Welcome.Paul [00:00:21]: Thanks guys. Yeah, I'm happy to be here. I've been lucky to know both of you for like a couple of years now, I think. So it's just like we're hanging out, you know, with three ginormous microphones in front of our face. It's totally normal hangout.swyx [00:00:34]: Yeah. We've actually mentioned you on the podcast, I think, more often than any other Solaris tenant. Just because like you're one of the, you know, best performing, I think, LLM tool companies that have started up in the last couple of years.Paul [00:00:50]: Yeah, I mean, it's been a whirlwind of a year, like Browserbase is actually pretty close to our first birthday. So we are one years old. And going from, you know, starting a company as a solo founder to... To, you know, having a team of 20 people, you know, a series A, but also being able to support hundreds of AI companies that are building AI applications that go out and automate the web. It's just been like, really cool. It's been happening a little too fast. I think like collectively as an AI industry, let's just take a week off together. I took my first vacation actually two weeks ago, and Operator came out on the first day, and then a week later, DeepSeat came out. And I'm like on vacation trying to chill. I'm like, we got to build with this stuff, right? So it's been a breakneck year. But I'm super happy to be here and like talk more about all the stuff we're seeing. And I'd love to hear kind of what you guys are excited about too, and share with it, you know?swyx [00:01:39]: Where to start? So people, you've done a bunch of podcasts. I think I strongly recommend Jack Bridger's Scaling DevTools, as well as Turner Novak's The Peel. And, you know, I'm sure there's others. So you covered your Twilio story in the past, talked about StreamClub, you got acquired to Mux, and then you left to start Browserbase. So maybe we just start with what is Browserbase? Yeah.Paul [00:02:02]: Browserbase is the web browser for your AI. We're building headless browser infrastructure, which are browsers that run in a server environment that's accessible to developers via APIs and SDKs. It's really hard to run a web browser in the cloud. You guys are probably running Chrome on your computers, and that's using a lot of resources, right? So if you want to run a web browser or thousands of web browsers, you can't just spin up a bunch of lambdas. You actually need to use a secure containerized environment. You have to scale it up and down. It's a stateful system. And that infrastructure is, like, super painful. And I know that firsthand, because at my last company, StreamClub, I was CTO, and I was building our own internal headless browser infrastructure. That's actually why we sold the company, is because Mux really wanted to buy our headless browser infrastructure that we'd built. And it's just a super hard problem. And I actually told my co-founders, I would never start another company unless it was a browser infrastructure company. And it turns out that's really necessary in the age of AI, when AI can actually go out and interact with websites, click on buttons, fill in forms. You need AI to do all of that work in an actual browser running somewhere on a server. And BrowserBase powers that.swyx [00:03:08]: While you're talking about it, it occurred to me, not that you're going to be acquired or anything, but it occurred to me that it would be really funny if you became the Nikita Beer of headless browser companies. You just have one trick, and you make browser companies that get acquired.Paul [00:03:23]: I truly do only have one trick. I'm screwed if it's not for headless browsers. I'm not a Go programmer. You know, I'm in AI grant. You know, browsers is an AI grant. But we were the only company in that AI grant batch that used zero dollars on AI spend. You know, we're purely an infrastructure company. So as much as people want to ask me about reinforcement learning, I might not be the best guy to talk about that. But if you want to ask about headless browser infrastructure at scale, I can talk your ear off. So that's really my area of expertise. And it's a pretty niche thing. Like, nobody has done what we're doing at scale before. So we're happy to be the experts.swyx [00:03:59]: You do have an AI thing, stagehand. We can talk about the sort of core of browser-based first, and then maybe stagehand. Yeah, stagehand is kind of the web browsing framework. Yeah.What is Browserbase? Headless Browser Infrastructure ExplainedAlessio [00:04:10]: Yeah. Yeah. And maybe how you got to browser-based and what problems you saw. So one of the first things I worked on as a software engineer was integration testing. Sauce Labs was kind of like the main thing at the time. And then we had Selenium, we had Playbrite, we had all these different browser things. But it's always been super hard to do. So obviously you've worked on this before. When you started browser-based, what were the challenges? What were the AI-specific challenges that you saw versus, there's kind of like all the usual running browser at scale in the cloud, which has been a problem for years. What are like the AI unique things that you saw that like traditional purchase just didn't cover? Yeah.AI-specific challenges in browser infrastructurePaul [00:04:46]: First and foremost, I think back to like the first thing I did as a developer, like as a kid when I was writing code, I wanted to write code that did stuff for me. You know, I wanted to write code to automate my life. And I do that probably by using curl or beautiful soup to fetch data from a web browser. And I think I still do that now that I'm in the cloud. And the other thing that I think is a huge challenge for me is that you can't just create a web site and parse that data. And we all know that now like, you know, taking HTML and plugging that into an LLM, you can extract insights, you can summarize. So it was very clear that now like dynamic web scraping became very possible with the rise of large language models or a lot easier. And that was like a clear reason why there's been more usage of headless browsers, which are necessary because a lot of modern websites don't expose all of their page content via a simple HTTP request. You know, they actually do require you to run this type of code for a specific time. JavaScript on the page to hydrate this. Airbnb is a great example. You go to airbnb.com. A lot of that content on the page isn't there until after they run the initial hydration. So you can't just scrape it with a curl. You need to have some JavaScript run. And a browser is that JavaScript engine that's going to actually run all those requests on the page. So web data retrieval was definitely one driver of starting BrowserBase and the rise of being able to summarize that within LLM. Also, I was familiar with if I wanted to automate a website, I could write one script and that would work for one website. It was very static and deterministic. But the web is non-deterministic. The web is always changing. And until we had LLMs, there was no way to write scripts that you could write once that would run on any website. That would change with the structure of the website. Click the login button. It could mean something different on many different websites. And LLMs allow us to generate code on the fly to actually control that. So I think that rise of writing the generic automation scripts that can work on many different websites, to me, made it clear that browsers are going to be a lot more useful because now you can automate a lot more things without writing. If you wanted to write a script to book a demo call on 100 websites, previously, you had to write 100 scripts. Now you write one script that uses LLMs to generate that script. That's why we built our web browsing framework, StageHand, which does a lot of that work for you. But those two things, web data collection and then enhanced automation of many different websites, it just felt like big drivers for more browser infrastructure that would be required to power these kinds of features.Alessio [00:07:05]: And was multimodality also a big thing?Paul [00:07:08]: Now you can use the LLMs to look, even though the text in the dome might not be as friendly. Maybe my hot take is I was always kind of like, I didn't think vision would be as big of a driver. For UI automation, I felt like, you know, HTML is structured text and large language models are good with structured text. But it's clear that these computer use models are often vision driven, and they've been really pushing things forward. So definitely being multimodal, like rendering the page is required to take a screenshot to give that to a computer use model to take actions on a website. And it's just another win for browser. But I'll be honest, that wasn't what I was thinking early on. I didn't even think that we'd get here so fast with multimodality. I think we're going to have to get back to multimodal and vision models.swyx [00:07:50]: This is one of those things where I forgot to mention in my intro that I'm an investor in Browserbase. And I remember that when you pitched to me, like a lot of the stuff that we have today, we like wasn't on the original conversation. But I did have my original thesis was something that we've talked about on the podcast before, which is take the GPT store, the custom GPT store, all the every single checkbox and plugin is effectively a startup. And this was the browser one. I think the main hesitation, I think I actually took a while to get back to you. The main hesitation was that there were others. Like you're not the first hit list browser startup. It's not even your first hit list browser startup. There's always a question of like, will you be the category winner in a place where there's a bunch of incumbents, to be honest, that are bigger than you? They're just not targeted at the AI space. They don't have the backing of Nat Friedman. And there's a bunch of like, you're here in Silicon Valley. They're not. I don't know.Paul [00:08:47]: I don't know if that's, that was it, but like, there was a, yeah, I mean, like, I think I tried all the other ones and I was like, really disappointed. Like my background is from working at great developer tools, companies, and nothing had like the Vercel like experience. Um, like our biggest competitor actually is partly owned by private equity and they just jacked up their prices quite a bit. And the dashboard hasn't changed in five years. And I actually used them at my last company and tried them and I was like, oh man, like there really just needs to be something that's like the experience of these great infrastructure companies, like Stripe, like clerk, like Vercel that I use in love, but oriented towards this kind of like more specific category, which is browser infrastructure, which is really technically complex. Like a lot of stuff can go wrong on the internet when you're running a browser. The internet is very vast. There's a lot of different configurations. Like there's still websites that only work with internet explorer out there. How do you handle that when you're running your own browser infrastructure? These are the problems that we have to think about and solve at BrowserBase. And it's, it's certainly a labor of love, but I built this for me, first and foremost, I know it's super cheesy and everyone says that for like their startups, but it really, truly was for me. If you look at like the talks I've done even before BrowserBase, and I'm just like really excited to try and build a category defining infrastructure company. And it's, it's rare to have a new category of infrastructure exists. We're here in the Chroma offices and like, you know, vector databases is a new category of infrastructure. Is it, is it, I mean, we can, we're in their office, so, you know, we can, we can debate that one later. That is one.Multimodality in AI-Powered Browsingswyx [00:10:16]: That's one of the industry debates.Paul [00:10:17]: I guess we go back to the LLMOS talk that Karpathy gave way long ago. And like the browser box was very clearly there and it seemed like the people who were building in this space also agreed that browsers are a core primitive of infrastructure for the LLMOS that's going to exist in the future. And nobody was building something there that I wanted to use. So I had to go build it myself.swyx [00:10:38]: Yeah. I mean, exactly that talk that, that honestly, that diagram, every box is a startup and there's the code box and then there's the. The browser box. I think at some point they will start clashing there. There's always the question of the, are you a point solution or are you the sort of all in one? And I think the point solutions tend to win quickly, but then the only ones have a very tight cohesive experience. Yeah. Let's talk about just the hard problems of browser base you have on your website, which is beautiful. Thank you. Was there an agency that you used for that? Yeah. Herb.paris.Paul [00:11:11]: They're amazing. Herb.paris. Yeah. It's H-E-R-V-E. I highly recommend for developers. Developer tools, founders to work with consumer agencies because they end up building beautiful things and the Parisians know how to build beautiful interfaces. So I got to give prep.swyx [00:11:24]: And chat apps, apparently are, they are very fast. Oh yeah. The Mistral chat. Yeah. Mistral. Yeah.Paul [00:11:31]: Late chat.swyx [00:11:31]: Late chat. And then your videos as well, it was professionally shot, right? The series A video. Yeah.Alessio [00:11:36]: Nico did the videos. He's amazing. Not the initial video that you shot at the new one. First one was Austin.Paul [00:11:41]: Another, another video pretty surprised. But yeah, I mean, like, I think when you think about how you talk about your company. You have to think about the way you present yourself. It's, you know, as a developer, you think you evaluate a company based on like the API reliability and the P 95, but a lot of developers say, is the website good? Is the message clear? Do I like trust this founder? I'm building my whole feature on. So I've tried to nail that as well as like the reliability of the infrastructure. You're right. It's very hard. And there's a lot of kind of foot guns that you run into when running headless browsers at scale. Right.Competing with Existing Headless Browser Solutionsswyx [00:12:10]: So let's pick one. You have eight features here. Seamless integration. Scalability. Fast or speed. Secure. Observable. Stealth. That's interesting. Extensible and developer first. What comes to your mind as like the top two, three hardest ones? Yeah.Running headless browsers at scalePaul [00:12:26]: I think just running headless browsers at scale is like the hardest one. And maybe can I nerd out for a second? Is that okay? I heard this is a technical audience, so I'll talk to the other nerds. Whoa. They were listening. Yeah. They're upset. They're ready. The AGI is angry. Okay. So. So how do you run a browser in the cloud? Let's start with that, right? So let's say you're using a popular browser automation framework like Puppeteer, Playwright, and Selenium. Maybe you've written a code, some code locally on your computer that opens up Google. It finds the search bar and then types in, you know, search for Latent Space and hits the search button. That script works great locally. You can see the little browser open up. You want to take that to production. You want to run the script in a cloud environment. So when your laptop is closed, your browser is doing something. The browser is doing something. Well, I, we use Amazon. You can see the little browser open up. You know, the first thing I'd reach for is probably like some sort of serverless infrastructure. I would probably try and deploy on a Lambda. But Chrome itself is too big to run on a Lambda. It's over 250 megabytes. So you can't easily start it on a Lambda. So you maybe have to use something like Lambda layers to squeeze it in there. Maybe use a different Chromium build that's lighter. And you get it on the Lambda. Great. It works. But it runs super slowly. It's because Lambdas are very like resource limited. They only run like with one vCPU. You can run one process at a time. Remember, Chromium is super beefy. It's barely running on my MacBook Air. I'm still downloading it from a pre-run. Yeah, from the test earlier, right? I'm joking. But it's big, you know? So like Lambda, it just won't work really well. Maybe it'll work, but you need something faster. Your users want something faster. Okay. Well, let's put it on a beefier instance. Let's get an EC2 server running. Let's throw Chromium on there. Great. Okay. I can, that works well with one user. But what if I want to run like 10 Chromium instances, one for each of my users? Okay. Well, I might need two EC2 instances. Maybe 10. All of a sudden, you have multiple EC2 instances. This sounds like a problem for Kubernetes and Docker, right? Now, all of a sudden, you're using ECS or EKS, the Kubernetes or container solutions by Amazon. You're spending up and down containers, and you're spending a whole engineer's time on kind of maintaining this stateful distributed system. Those are some of the worst systems to run because when it's a stateful distributed system, it means that you are bound by the connections to that thing. You have to keep the browser open while someone is working with it, right? That's just a painful architecture to run. And there's all this other little gotchas with Chromium, like Chromium, which is the open source version of Chrome, by the way. You have to install all these fonts. You want emojis working in your browsers because your vision model is looking for the emoji. You need to make sure you have the emoji fonts. You need to make sure you have all the right extensions configured, like, oh, do you want ad blocking? How do you configure that? How do you actually record all these browser sessions? Like it's a headless browser. You can't look at it. So you need to have some sort of observability. Maybe you're recording videos and storing those somewhere. It all kind of adds up to be this just giant monster piece of your project when all you wanted to do was run a lot of browsers in production for this little script to go to google.com and search. And when I see a complex distributed system, I see an opportunity to build a great infrastructure company. And we really abstract that away with Browserbase where our customers can use these existing frameworks, Playwright, Publisher, Selenium, or our own stagehand and connect to our browsers in a serverless-like way. And control them, and then just disconnect when they're done. And they don't have to think about the complex distributed system behind all of that. They just get a browser running anywhere, anytime. Really easy to connect to.swyx [00:15:55]: I'm sure you have questions. My standard question with anything, so essentially you're a serverless browser company, and there's been other serverless things that I'm familiar with in the past, serverless GPUs, serverless website hosting. That's where I come from with Netlify. One question is just like, you promised to spin up thousands of servers. You promised to spin up thousands of browsers in milliseconds. I feel like there's no real solution that does that yet. And I'm just kind of curious how. The only solution I know, which is to kind of keep a kind of warm pool of servers around, which is expensive, but maybe not so expensive because it's just CPUs. So I'm just like, you know. Yeah.Browsers as a Core Primitive in AI InfrastructurePaul [00:16:36]: You nailed it, right? I mean, how do you offer a serverless-like experience with something that is clearly not serverless, right? And the answer is, you need to be able to run... We run many browsers on single nodes. We use Kubernetes at browser base. So we have many pods that are being scheduled. We have to predictably schedule them up or down. Yes, thousands of browsers in milliseconds is the best case scenario. If you hit us with 10,000 requests, you may hit a slower cold start, right? So we've done a lot of work on predictive scaling and being able to kind of route stuff to different regions where we have multiple regions of browser base where we have different pools available. You can also pick the region you want to go to based on like lower latency, round trip, time latency. It's very important with these types of things. There's a lot of requests going over the wire. So for us, like having a VM like Firecracker powering everything under the hood allows us to be super nimble and spin things up or down really quickly with strong multi-tenancy. But in the end, this is like the complex infrastructural challenges that we have to kind of deal with at browser base. And we have a lot more stuff on our roadmap to allow customers to have more levers to pull to exchange, do you want really fast browser startup times or do you want really low costs? And if you're willing to be more flexible on that, we may be able to kind of like work better for your use cases.swyx [00:17:44]: Since you used Firecracker, shouldn't Fargate do that for you or did you have to go lower level than that? We had to go lower level than that.Paul [00:17:51]: I find this a lot with Fargate customers, which is alarming for Fargate. We used to be a giant Fargate customer. Actually, the first version of browser base was ECS and Fargate. And unfortunately, it's a great product. I think we were actually the largest Fargate customer in our region for a little while. No, what? Yeah, seriously. And unfortunately, it's a great product, but I think if you're an infrastructure company, you actually have to have a deeper level of control over these primitives. I think it's the same thing is true with databases. We've used other database providers and I think-swyx [00:18:21]: Yeah, serverless Postgres.Paul [00:18:23]: Shocker. When you're an infrastructure company, you're on the hook if any provider has an outage. And I can't tell my customers like, hey, we went down because so-and-so went down. That's not acceptable. So for us, we've really moved to bringing things internally. It's kind of opposite of what we preach. We tell our customers, don't build this in-house, but then we're like, we build a lot of stuff in-house. But I think it just really depends on what is in the critical path. We try and have deep ownership of that.Alessio [00:18:46]: On the distributed location side, how does that work for the web where you might get sort of different content in different locations, but the customer is expecting, you know, if you're in the US, I'm expecting the US version. But if you're spinning up my browser in France, I might get the French version. Yeah.Paul [00:19:02]: Yeah. That's a good question. Well, generally, like on the localization, there is a thing called locale in the browser. You can set like what your locale is. If you're like in the ENUS browser or not, but some things do IP, IP based routing. And in that case, you may want to have a proxy. Like let's say you're running something in the, in Europe, but you want to make sure you're showing up from the US. You may want to use one of our proxy features so you can turn on proxies to say like, make sure these connections always come from the United States, which is necessary too, because when you're browsing the web, you're coming from like a, you know, data center IP, and that can make things a lot harder to browse web. So we do have kind of like this proxy super network. Yeah. We have a proxy for you based on where you're going, so you can reliably automate the web. But if you get scheduled in Europe, that doesn't happen as much. We try and schedule you as close to, you know, your origin that you're trying to go to. But generally you have control over the regions you can put your browsers in. So you can specify West one or East one or Europe. We only have one region of Europe right now, actually. Yeah.Alessio [00:19:55]: What's harder, the browser or the proxy? I feel like to me, it feels like actually proxying reliably at scale. It's much harder than spending up browsers at scale. I'm curious. It's all hard.Paul [00:20:06]: It's layers of hard, right? Yeah. I think it's different levels of hard. I think the thing with the proxy infrastructure is that we work with many different web proxy providers and some are better than others. Some have good days, some have bad days. And our customers who've built browser infrastructure on their own, they have to go and deal with sketchy actors. Like first they figure out their own browser infrastructure and then they got to go buy a proxy. And it's like you can pay in Bitcoin and it just kind of feels a little sus, right? It's like you're buying drugs when you're trying to get a proxy online. We have like deep relationships with these counterparties. We're able to audit them and say, is this proxy being sourced ethically? Like it's not running on someone's TV somewhere. Is it free range? Yeah. Free range organic proxies, right? Right. We do a level of diligence. We're SOC 2. So we have to understand what is going on here. But then we're able to make sure that like we route around proxy providers not working. There's proxy providers who will just, the proxy will stop working all of a sudden. And then if you don't have redundant proxying on your own browsers, that's hard down for you or you may get some serious impacts there. With us, like we intelligently know, hey, this proxy is not working. Let's go to this one. And you can kind of build a network of multiple providers to really guarantee the best uptime for our customers. Yeah. So you don't own any proxies? We don't own any proxies. You're right. The team has been saying who wants to like take home a little proxy server, but not yet. We're not there yet. You know?swyx [00:21:25]: It's a very mature market. I don't think you should build that yourself. Like you should just be a super customer of them. Yeah. Scraping, I think, is the main use case for that. I guess. Well, that leads us into CAPTCHAs and also off, but let's talk about CAPTCHAs. You had a little spiel that you wanted to talk about CAPTCHA stuff.Challenges of Scaling Browser InfrastructurePaul [00:21:43]: Oh, yeah. I was just, I think a lot of people ask, if you're thinking about proxies, you're thinking about CAPTCHAs too. I think it's the same thing. You can go buy CAPTCHA solvers online, but it's the same buying experience. It's some sketchy website, you have to integrate it. It's not fun to buy these things and you can't really trust that the docs are bad. What Browserbase does is we integrate a bunch of different CAPTCHAs. We do some stuff in-house, but generally we just integrate with a bunch of known vendors and continually monitor and maintain these things and say, is this working or not? Can we route around it or not? These are CAPTCHA solvers. CAPTCHA solvers, yeah. Not CAPTCHA providers, CAPTCHA solvers. Yeah, sorry. CAPTCHA solvers. We really try and make sure all of that works for you. I think as a dev, if I'm buying infrastructure, I want it all to work all the time and it's important for us to provide that experience by making sure everything does work and monitoring it on our own. Yeah. Right now, the world of CAPTCHAs is tricky. I think AI agents in particular are very much ahead of the internet infrastructure. CAPTCHAs are designed to block all types of bots, but there are now good bots and bad bots. I think in the future, CAPTCHAs will be able to identify who a good bot is, hopefully via some sort of KYC. For us, we've been very lucky. We have very little to no known abuse of Browserbase because we really look into who we work with. And for certain types of CAPTCHA solving, we only allow them on certain types of plans because we want to make sure that we can know what people are doing, what their use cases are. And that's really allowed us to try and be an arbiter of good bots, which is our long term goal. I want to build great relationships with people like Cloudflare so we can agree, hey, here are these acceptable bots. We'll identify them for you and make sure we flag when they come to your website. This is a good bot, you know?Alessio [00:23:23]: I see. And Cloudflare said they want to do more of this. So they're going to set by default, if they think you're an AI bot, they're going to reject. I'm curious if you think this is something that is going to be at the browser level or I mean, the DNS level with Cloudflare seems more where it should belong. But I'm curious how you think about it.Paul [00:23:40]: I think the web's going to change. You know, I think that the Internet as we have it right now is going to change. And we all need to just accept that the cat is out of the bag. And instead of kind of like wishing the Internet was like it was in the 2000s, we can have free content line that wouldn't be scraped. It's just it's not going to happen. And instead, we should think about like, one, how can we change? How can we change the models of, you know, information being published online so people can adequately commercialize it? But two, how do we rebuild applications that expect that AI agents are going to log in on their behalf? Those are the things that are going to allow us to kind of like identify good and bad bots. And I think the team at Clerk has been doing a really good job with this on the authentication side. I actually think that auth is the biggest thing that will prevent agents from accessing stuff, not captchas. And I think there will be agent auth in the future. I don't know if it's going to happen from an individual company, but actually authentication providers that have a, you know, hidden login as agent feature, which will then you put in your email, you'll get a push notification, say like, hey, your browser-based agent wants to log into your Airbnb. You can approve that and then the agent can proceed. That really circumvents the need for captchas or logging in as you and sharing your password. I think agent auth is going to be one way we identify good bots going forward. And I think a lot of this captcha solving stuff is really short-term problems as the internet kind of reorients itself around how it's going to work with agents browsing the web, just like people do. Yeah.Managing Distributed Browser Locations and Proxiesswyx [00:24:59]: Stitch recently was on Hacker News for talking about agent experience, AX, which is a thing that Netlify is also trying to clone and coin and talk about. And we've talked about this on our previous episodes before in a sense that I actually think that's like maybe the only part of the tech stack that needs to be kind of reinvented for agents. Everything else can stay the same, CLIs, APIs, whatever. But auth, yeah, we need agent auth. And it's mostly like short-lived, like it should not, it should be a distinct, identity from the human, but paired. I almost think like in the same way that every social network should have your main profile and then your alt accounts or your Finsta, it's almost like, you know, every, every human token should be paired with the agent token and the agent token can go and do stuff on behalf of the human token, but not be presumed to be the human. Yeah.Paul [00:25:48]: It's like, it's, it's actually very similar to OAuth is what I'm thinking. And, you know, Thread from Stitch is an investor, Colin from Clerk, Octaventures, all investors in browser-based because like, I hope they solve this because they'll make browser-based submission more possible. So we don't have to overcome all these hurdles, but I think it will be an OAuth-like flow where an agent will ask to log in as you, you'll approve the scopes. Like it can book an apartment on Airbnb, but it can't like message anybody. And then, you know, the agent will have some sort of like role-based access control within an application. Yeah. I'm excited for that.swyx [00:26:16]: The tricky part is just, there's one, one layer of delegation here, which is like, you're authoring my user's user or something like that. I don't know if that's tricky or not. Does that make sense? Yeah.Paul [00:26:25]: You know, actually at Twilio, I worked on the login identity and access. Management teams, right? So like I built Twilio's login page.swyx [00:26:31]: You were an intern on that team and then you became the lead in two years? Yeah.Paul [00:26:34]: Yeah. I started as an intern in 2016 and then I was the tech lead of that team. How? That's not normal. I didn't have a life. He's not normal. Look at this guy. I didn't have a girlfriend. I just loved my job. I don't know. I applied to 500 internships for my first job and I got rejected from every single one of them except for Twilio and then eventually Amazon. And they took a shot on me and like, I was getting paid money to write code, which was my dream. Yeah. Yeah. I'm very lucky that like this coding thing worked out because I was going to be doing it regardless. And yeah, I was able to kind of spend a lot of time on a team that was growing at a company that was growing. So it informed a lot of this stuff here. I think these are problems that have been solved with like the SAML protocol with SSO. I think it's a really interesting stuff with like WebAuthn, like these different types of authentication, like schemes that you can use to authenticate people. The tooling is all there. It just needs to be tweaked a little bit to work for agents. And I think the fact that there are companies that are already. Providing authentication as a service really sets it up. Well, the thing that's hard is like reinventing the internet for agents. We don't want to rebuild the internet. That's an impossible task. And I think people often say like, well, we'll have this second layer of APIs built for agents. I'm like, we will for the top use cases, but instead of we can just tweak the internet as is, which is on the authentication side, I think we're going to be the dumb ones going forward. Unfortunately, I think AI is going to be able to do a lot of the tasks that we do online, which means that it will be able to go to websites, click buttons on our behalf and log in on our behalf too. So with this kind of like web agent future happening, I think with some small structural changes, like you said, it feels like it could all slot in really nicely with the existing internet.Handling CAPTCHAs and Agent Authenticationswyx [00:28:08]: There's one more thing, which is the, your live view iframe, which lets you take, take control. Yeah. Obviously very key for operator now, but like, was, is there anything interesting technically there or that the people like, well, people always want this.Paul [00:28:21]: It was really hard to build, you know, like, so, okay. Headless browsers, you don't see them, right. They're running. They're running in a cloud somewhere. You can't like look at them. And I just want to really make, it's a weird name. I wish we came up with a better name for this thing, but you can't see them. Right. But customers don't trust AI agents, right. At least the first pass. So what we do with our live view is that, you know, when you use browser base, you can actually embed a live view of the browser running in the cloud for your customer to see it working. And that's what the first reason is the build trust, like, okay, so I have this script. That's going to go automate a website. I can embed it into my web application via an iframe and my customer can watch. I think. And then we added two way communication. So now not only can you watch the browser kind of being operated by AI, if you want to pause and actually click around type within this iframe that's controlling a browser, that's also possible. And this is all thanks to some of the lower level protocol, which is called the Chrome DevTools protocol. It has a API called start screencast, and you can also send mouse clicks and button clicks to a remote browser. And this is all embeddable within iframes. You have a browser within a browser, yo. And then you simulate the screen, the click on the other side. Exactly. And this is really nice often for, like, let's say, a capture that can't be solved. You saw this with Operator, you know, Operator actually uses a different approach. They use VNC. So, you know, you're able to see, like, you're seeing the whole window here. What we're doing is something a little lower level with the Chrome DevTools protocol. It's just PNGs being streamed over the wire. But the same thing is true, right? Like, hey, I'm running a window. Pause. Can you do something in this window? Human. Okay, great. Resume. Like sometimes 2FA tokens. Like if you get that text message, you might need a person to type that in. Web agents need human-in-the-loop type workflows still. You still need a person to interact with the browser. And building a UI to proxy that is kind of hard. You may as well just show them the whole browser and say, hey, can you finish this up for me? And then let the AI proceed on afterwards. Is there a future where I stream my current desktop to browser base? I don't think so. I think we're very much cloud infrastructure. Yeah. You know, but I think a lot of the stuff we're doing, we do want to, like, build tools. Like, you know, we'll talk about the stage and, you know, web agent framework in a second. But, like, there's a case where a lot of people are going desktop first for, you know, consumer use. And I think cloud is doing a lot of this, where I expect to see, you know, MCPs really oriented around the cloud desktop app for a reason, right? Like, I think a lot of these tools are going to run on your computer because it makes... I think it's breaking out. People are putting it on a server. Oh, really? Okay. Well, sweet. We'll see. We'll see that. I was surprised, though, wasn't I? I think that the browser company, too, with Dia Browser, it runs on your machine. You know, it's going to be...swyx [00:30:50]: What is it?Paul [00:30:51]: So, Dia Browser, as far as I understand... I used to use Arc. Yeah. I haven't used Arc. But I'm a big fan of the browser company. I think they're doing a lot of cool stuff in consumer. As far as I understand, it's a browser where you have a sidebar where you can, like, chat with it and it can control the local browser on your machine. So, if you imagine, like, what a consumer web agent is, which it lives alongside your browser, I think Google Chrome has Project Marina, I think. I almost call it Project Marinara for some reason. I don't know why. It's...swyx [00:31:17]: No, I think it's someone really likes the Waterworld. Oh, I see. The classic Kevin Costner. Yeah.Paul [00:31:22]: Okay. Project Marinara is a similar thing to the Dia Browser, in my mind, as far as I understand it. You have a browser that has an AI interface that will take over your mouse and keyboard and control the browser for you. Great for consumer use cases. But if you're building applications that rely on a browser and it's more part of a greater, like, AI app experience, you probably need something that's more like infrastructure, not a consumer app.swyx [00:31:44]: Just because I have explored a little bit in this area, do people want branching? So, I have the state. Of whatever my browser's in. And then I want, like, 100 clones of this state. Do people do that? Or...Paul [00:31:56]: People don't do it currently. Yeah. But it's definitely something we're thinking about. I think the idea of forking a browser is really cool. Technically, kind of hard. We're starting to see this in code execution, where people are, like, forking some, like, code execution, like, processes or forking some tool calls or branching tool calls. Haven't seen it at the browser level yet. But it makes sense. Like, if an AI agent is, like, using a website and it's not sure what path it wants to take to crawl this website. To find the information it's looking for. It would make sense for it to explore both paths in parallel. And that'd be a very, like... A road not taken. Yeah. And hopefully find the right answer. And then say, okay, this was actually the right one. And memorize that. And go there in the future. On the roadmap. For sure. Don't make my roadmap, please. You know?Alessio [00:32:37]: How do you actually do that? Yeah. How do you fork? I feel like the browser is so stateful for so many things.swyx [00:32:42]: Serialize the state. Restore the state. I don't know.Paul [00:32:44]: So, it's one of the reasons why we haven't done it yet. It's hard. You know? Like, to truly fork, it's actually quite difficult. The naive way is to open the same page in a new tab and then, like, hope that it's at the same thing. But if you have a form halfway filled, you may have to, like, take the whole, you know, container. Pause it. All the memory. Duplicate it. Restart it from there. It could be very slow. So, we haven't found a thing. Like, the easy thing to fork is just, like, copy the page object. You know? But I think there needs to be something a little bit more robust there. Yeah.swyx [00:33:12]: So, MorphLabs has this infinite branch thing. Like, wrote a custom fork of Linux or something that let them save the system state and clone it. MorphLabs, hit me up. I'll be a customer. Yeah. That's the only. I think that's the only way to do it. Yeah. Like, unless Chrome has some special API for you. Yeah.Paul [00:33:29]: There's probably something we'll reverse engineer one day. I don't know. Yeah.Alessio [00:33:32]: Let's talk about StageHand, the AI web browsing framework. You have three core components, Observe, Extract, and Act. Pretty clean landing page. What was the idea behind making a framework? Yeah.Stagehand: AI web browsing frameworkPaul [00:33:43]: So, there's three frameworks that are very popular or already exist, right? Puppeteer, Playwright, Selenium. Those are for building hard-coded scripts to control websites. And as soon as I started to play with LLMs plus browsing, I caught myself, you know, code-genning Playwright code to control a website. I would, like, take the DOM. I'd pass it to an LLM. I'd say, can you generate the Playwright code to click the appropriate button here? And it would do that. And I was like, this really should be part of the frameworks themselves. And I became really obsessed with SDKs that take natural language as part of, like, the API input. And that's what StageHand is. StageHand exposes three APIs, and it's a super set of Playwright. So, if you go to a page, you may want to take an action, click on the button, fill in the form, etc. That's what the act command is for. You may want to extract some data. This one takes a natural language, like, extract the winner of the Super Bowl from this page. You can give it a Zod schema, so it returns a structured output. And then maybe you're building an API. You can do an agent loop, and you want to kind of see what actions are possible on this page before taking one. You can do observe. So, you can observe the actions on the page, and it will generate a list of actions. You can guide it, like, give me actions on this page related to buying an item. And you can, like, buy it now, add to cart, view shipping options, and pass that to an LLM, an agent loop, to say, what's the appropriate action given this high-level goal? So, StageHand isn't a web agent. It's a framework for building web agents. And we think that agent loops are actually pretty close to the application layer because every application probably has different goals or different ways it wants to take steps. I don't think I've seen a generic. Maybe you guys are the experts here. I haven't seen, like, a really good AI agent framework here. Everyone kind of has their own special sauce, right? I see a lot of developers building their own agent loops, and they're using tools. And I view StageHand as the browser tool. So, we expose act, extract, observe. Your agent can call these tools. And from that, you don't have to worry about it. You don't have to worry about generating playwright code performantly. You don't have to worry about running it. You can kind of just integrate these three tool calls into your agent loop and reliably automate the web.swyx [00:35:48]: A special shout-out to Anirudh, who I met at your dinner, who I think listens to the pod. Yeah. Hey, Anirudh.Paul [00:35:54]: Anirudh's a man. He's a StageHand guy.swyx [00:35:56]: I mean, the interesting thing about each of these APIs is they're kind of each startup. Like, specifically extract, you know, Firecrawler is extract. There's, like, Expand AI. There's a whole bunch of, like, extract companies. They just focus on extract. I'm curious. Like, I feel like you guys are going to collide at some point. Like, right now, it's friendly. Everyone's in a blue ocean. At some point, it's going to be valuable enough that there's some turf battle here. I don't think you have a dog in a fight. I think you can mock extract to use an external service if they're better at it than you. But it's just an observation that, like, in the same way that I see each option, each checkbox in the side of custom GBTs becoming a startup or each box in the Karpathy chart being a startup. Like, this is also becoming a thing. Yeah.Paul [00:36:41]: I mean, like, so the way StageHand works is that it's MIT-licensed, completely open source. You bring your own API key to your LLM of choice. You could choose your LLM. We don't make any money off of the extract or really. We only really make money if you choose to run it with our browser. You don't have to. You can actually use your own browser, a local browser. You know, StageHand is completely open source for that reason. And, yeah, like, I think if you're building really complex web scraping workflows, I don't know if StageHand is the tool for you. I think it's really more if you're building an AI agent that needs a few general tools or if it's doing a lot of, like, web automation-intensive work. But if you're building a scraping company, StageHand is not your thing. You probably want something that's going to, like, get HTML content, you know, convert that to Markdown, query it. That's not what StageHand does. StageHand is more about reliability. I think we focus a lot on reliability and less so on cost optimization and speed at this point.swyx [00:37:33]: I actually feel like StageHand, so the way that StageHand works, it's like, you know, page.act, click on the quick start. Yeah. It's kind of the integration test for the code that you would have to write anyway, like the Puppeteer code that you have to write anyway. And when the page structure changes, because it always does, then this is still the test. This is still the test that I would have to write. Yeah. So it's kind of like a testing framework that doesn't need implementation detail.Paul [00:37:56]: Well, yeah. I mean, Puppeteer, Playwright, and Slenderman were all designed as testing frameworks, right? Yeah. And now people are, like, hacking them together to automate the web. I would say, and, like, maybe this is, like, me being too specific. But, like, when I write tests, if the page structure changes. Without me knowing, I want that test to fail. So I don't know if, like, AI, like, regenerating that. Like, people are using StageHand for testing. But it's more for, like, usability testing, not, like, testing of, like, does the front end, like, has it changed or not. Okay. But generally where we've seen people, like, really, like, take off is, like, if they're using, you know, something. If they want to build a feature in their application that's kind of like Operator or Deep Research, they're using StageHand to kind of power that tool calling in their own agent loop. Okay. Cool.swyx [00:38:37]: So let's go into Operator, the first big agent launch of the year from OpenAI. Seems like they have a whole bunch scheduled. You were on break and your phone blew up. What's your just general view of computer use agents is what they're calling it. The overall category before we go into Open Operator, just the overall promise of Operator. I will observe that I tried it once. It was okay. And I never tried it again.OpenAI's Operator and computer use agentsPaul [00:38:58]: That tracks with my experience, too. Like, I'm a huge fan of the OpenAI team. Like, I think that I do not view Operator as the company. I'm not a company killer for browser base at all. I think it actually shows people what's possible. I think, like, computer use models make a lot of sense. And I'm actually most excited about computer use models is, like, their ability to, like, really take screenshots and reasoning and output steps. I think that using mouse click or mouse coordinates, I've seen that proved to be less reliable than I would like. And I just wonder if that's the right form factor. What we've done with our framework is anchor it to the DOM itself, anchor it to the actual item. So, like, if it's clicking on something, it's clicking on that thing, you know? Like, it's more accurate. No matter where it is. Yeah, exactly. Because it really ties in nicely. And it can handle, like, the whole viewport in one go, whereas, like, Operator can only handle what it sees. Can you hover? Is hovering a thing that you can do? I don't know if we expose it as a tool directly, but I'm sure there's, like, an API for hovering. Like, move mouse to this position. Yeah, yeah, yeah. I think you can trigger hover, like, via, like, the JavaScript on the DOM itself. But, no, I think, like, when we saw computer use, everyone's eyes lit up because they realized, like, wow, like, AI is going to actually automate work for people. And I think seeing that kind of happen from both of the labs, and I'm sure we're going to see more labs launch computer use models, I'm excited to see all the stuff that people build with it. I think that I'd love to see computer use power, like, controlling a browser on browser base. And I think, like, Open Operator, which was, like, our open source version of OpenAI's Operator, was our first take on, like, how can we integrate these models into browser base? And we handle the infrastructure and let the labs do the models. I don't have a sense that Operator will be released as an API. I don't know. Maybe it will. I'm curious to see how well that works because I think it's going to be really hard for a company like OpenAI to do things like support CAPTCHA solving or, like, have proxies. Like, I think it's hard for them structurally. Imagine this New York Times headline, OpenAI CAPTCHA solving. Like, that would be a pretty bad headline, this New York Times headline. Browser base solves CAPTCHAs. No one cares. No one cares. And, like, our investors are bored. Like, we're all okay with this, you know? We're building this company knowing that the CAPTCHA solving is short-lived until we figure out how to authenticate good bots. I think it's really hard for a company like OpenAI, who has this brand that's so, so good, to balance with, like, the icky parts of web automation, which it can be kind of complex to solve. I'm sure OpenAI knows who to call whenever they need you. Yeah, right. I'm sure they'll have a great partnership.Alessio [00:41:23]: And is Open Operator just, like, a marketing thing for you? Like, how do you think about resource allocation? So, you can spin this up very quickly. And now there's all this, like, open deep research, just open all these things that people are building. We started it, you know. You're the original Open. We're the original Open operator, you know? Is it just, hey, look, this is a demo, but, like, we'll help you build out an actual product for yourself? Like, are you interested in going more of a product route? That's kind of the OpenAI way, right? They started as a model provider and then…Paul [00:41:53]: Yeah, we're not interested in going the product route yet. I view Open Operator as a model provider. It's a reference project, you know? Let's show people how to build these things using the infrastructure and models that are out there. And that's what it is. It's, like, Open Operator is very simple. It's an agent loop. It says, like, take a high-level goal, break it down into steps, use tool calling to accomplish those steps. It takes screenshots and feeds those screenshots into an LLM with the step to generate the right action. It uses stagehand under the hood to actually execute this action. It doesn't use a computer use model. And it, like, has a nice interface using the live view that we talked about, the iframe, to embed that into an application. So I felt like people on launch day wanted to figure out how to build their own version of this. And we turned that around really quickly to show them. And I hope we do that with other things like deep research. We don't have a deep research launch yet. I think David from AOMNI actually has an amazing open deep research that he launched. It has, like, 10K GitHub stars now. So he's crushing that. But I think if people want to build these features natively into their application, they need good reference projects. And I think Open Operator is a good example of that.swyx [00:42:52]: I don't know. Actually, I'm actually pretty bullish on API-driven operator. Because that's the only way that you can sort of, like, once it's reliable enough, obviously. And now we're nowhere near. But, like, give it five years. It'll happen, you know. And then you can sort of spin this up and browsers are working in the background and you don't necessarily have to know. And it just is booking restaurants for you, whatever. I can definitely see that future happening. I had this on the landing page here. This might be a slightly out of order. But, you know, you have, like, sort of three use cases for browser base. Open Operator. Or this is the operator sort of use case. It's kind of like the workflow automation use case. And it completes with UiPath in the sort of RPA category. Would you agree with that? Yeah, I would agree with that. And then there's Agents we talked about already. And web scraping, which I imagine would be the bulk of your workload right now, right?Paul [00:43:40]: No, not at all. I'd say actually, like, the majority is browser automation. We're kind of expensive for web scraping. Like, I think that if you're building a web scraping product, if you need to do occasional web scraping or you have to do web scraping that works every single time, you want to use browser automation. Yeah. You want to use browser-based. But if you're building web scraping workflows, what you should do is have a waterfall. You should have the first request is a curl to the website. See if you can get it without even using a browser. And then the second request may be, like, a scraping-specific API. There's, like, a thousand scraping APIs out there that you can use to try and get data. Scraping B. Scraping B is a great example, right? Yeah. And then, like, if those two don't work, bring out the heavy hitter. Like, browser-based will 100% work, right? It will load the page in a real browser, hydrate it. I see.swyx [00:44:21]: Because a lot of people don't render to JS.swyx [00:44:25]: Yeah, exactly.Paul [00:44:26]: So, I mean, the three big use cases, right? Like, you know, automation, web data collection, and then, you know, if you're building anything agentic that needs, like, a browser tool, you want to use browser-based.Alessio [00:44:35]: Is there any use case that, like, you were super surprised by that people might not even think about? Oh, yeah. Or is it, yeah, anything that you can share? The long tail is crazy. Yeah.Surprising use cases of BrowserbasePaul [00:44:44]: One of the case studies on our website that I think is the most interesting is this company called Benny. So, the way that it works is if you're on food stamps in the United States, you can actually get rebates if you buy certain things. Yeah. You buy some vegetables. You submit your receipt to the government. They'll give you a little rebate back. Say, hey, thanks for buying vegetables. It's good for you. That process of submitting that receipt is very painful. And the way Benny works is you use their app to take a photo of your receipt, and then Benny will go submit that receipt for you and then deposit the money into your account. That's actually using no AI at all. It's all, like, hard-coded scripts. They maintain the scripts. They've been doing a great job. And they build this amazing consumer app. But it's an example of, like, all these, like, tedious workflows that people have to do to kind of go about their business. And they're doing it for the sake of their day-to-day lives. And I had never known about, like, food stamp rebates or the complex forms you have to do to fill them. But the world is powered by millions and millions of tedious forms, visas. You know, Emirate Lighthouse is a customer, right? You know, they do the O1 visa. Millions and millions of forms are taking away humans' time. And I hope that Browserbase can help power software that automates away the web forms that we don't need anymore. Yeah.swyx [00:45:49]: I mean, I'm very supportive of that. I mean, forms. I do think, like, government itself is a big part of it. I think the government itself should embrace AI more to do more sort of human-friendly form filling. Mm-hmm. But I'm not optimistic. I'm not holding my breath. Yeah. We'll see. Okay. I think I'm about to zoom out. I have a little brief thing on computer use, and then we can talk about founder stuff, which is, I tend to think of developer tooling markets in impossible triangles, where everyone starts in a niche, and then they start to branch out. So I already hinted at a little bit of this, right? We mentioned more. We mentioned E2B. We mentioned Firecrawl. And then there's Browserbase. So there's, like, all this stuff of, like, have serverless virtual computer that you give to an agent and let them do stuff with it. And there's various ways of connecting it to the internet. You can just connect to a search API, like SERP API, whatever other, like, EXA is another one. That's what you're searching. You can also have a JSON markdown extractor, which is Firecrawl. Or you can have a virtual browser like Browserbase, or you can have a virtual machine like Morph. And then there's also maybe, like, a virtual sort of code environment, like Code Interpreter. So, like, there's just, like, a bunch of different ways to tackle the problem of give a computer to an agent. And I'm just kind of wondering if you see, like, everyone's just, like, happily coexisting in their respective niches. And as a developer, I just go and pick, like, a shopping basket of one of each. Or do you think that you eventually, people will collide?Future of browser automation and market competitionPaul [00:47:18]: I think that currently it's not a zero-sum market. Like, I think we're talking about... I think we're talking about all of knowledge work that people do that can be automated online. All of these, like, trillions of hours that happen online where people are working. And I think that there's so much software to be built that, like, I tend not to think about how these companies will collide. I just try to solve the problem as best as I can and make this specific piece of infrastructure, which I think is an important primitive, the best I possibly can. And yeah. I think there's players that are actually going to like it. I think there's players that are going to launch, like, over-the-top, you know, platforms, like agent platforms that have all these tools built in, right? Like, who's building the rippling for agent tools that has the search tool, the browser tool, the operating system tool, right? There are some. There are some. There are some, right? And I think in the end, what I have seen as my time as a developer, and I look at all the favorite tools that I have, is that, like, for tools and primitives with sufficient levels of complexity, you need to have a solution that's really bespoke to that primitive, you know? And I am sufficiently convinced that the browser is complex enough to deserve a primitive. Obviously, I have to. I'm the founder of BrowserBase, right? I'm talking my book. But, like, I think maybe I can give you one spicy take against, like, maybe just whole OS running. I think that when I look at computer use when it first came out, I saw that the majority of use cases for computer use were controlling a browser. And do we really need to run an entire operating system just to control a browser? I don't think so. I don't think that's necessary. You know, BrowserBase can run browsers for way cheaper than you can if you're running a full-fledged OS with a GUI, you know, operating system. And I think that's just an advantage of the browser. It is, like, browsers are little OSs, and you can run them very efficiently if you orchestrate it well. And I think that allows us to offer 90% of the, you know, functionality in the platform needed at 10% of the cost of running a full OS. Yeah.Open Operator: Browserbase's Open-Source Alternativeswyx [00:49:16]: I definitely see the logic in that. There's a Mark Andreessen quote. I don't know if you know this one. Where he basically observed that the browser is turning the operating system into a poorly debugged set of device drivers, because most of the apps are moved from the OS to the browser. So you can just run browsers.Paul [00:49:31]: There's a place for OSs, too. Like, I think that there are some applications that only run on Windows operating systems. And Eric from pig.dev in this upcoming YC batch, or last YC batch, like, he's building all run tons of Windows operating systems for you to control with your agent. And like, there's some legacy EHR systems that only run on Internet-controlled systems. Yeah.Paul [00:49:54]: I think that's it. I think, like, there are use cases for specific operating systems for specific legacy software. And like, I'm excited to see what he does with that. I just wanted to give a shout out to the pig.dev website.swyx [00:50:06]: The pigs jump when you click on them. Yeah. That's great.Paul [00:50:08]: Eric, he's the former co-founder of banana.dev, too.swyx [00:50:11]: Oh, that Eric. Yeah. That Eric. Okay. Well, he abandoned bananas for pigs. I hope he doesn't start going around with pigs now.Alessio [00:50:18]: Like he was going around with bananas. A little toy pig. Yeah. Yeah. I love that. What else are we missing? I think we covered a lot of, like, the browser-based product history, but. What do you wish people asked you? Yeah.Paul [00:50:29]: I wish people asked me more about, like, what will the future of software look like? Because I think that's really where I've spent a lot of time about why do browser-based. Like, for me, starting a company is like a means of last resort. Like, you shouldn't start a company unless you absolutely have to. And I remain convinced that the future of software is software that you're going to click a button and it's going to do stuff on your behalf. Right now, software. You click a button and it maybe, like, calls it back an API and, like, computes some numbers. It, like, modifies some text, whatever. But the future of software is software using software. So, I may log into my accounting website for my business, click a button, and it's going to go load up my Gmail, search my emails, find the thing, upload the receipt, and then comment it for me. Right? And it may use it using APIs, maybe a browser. I don't know. I think it's a little bit of both. But that's completely different from how we've built software so far. And that's. I think that future of software has different infrastructure requirements. It's going to require different UIs. It's going to require different pieces of infrastructure. I think the browser infrastructure is one piece that fits into that, along with all the other categories you mentioned. So, I think that it's going to require developers to think differently about how they've built software for, you know
The Hidden Power of Land Investing with Mark Podolsky Have you ever considered investing in land but did not know where to start? Unlike multifamily real estate, land is an inefficient market with hidden opportunities that many investors overlook. In this episode, we sit down with Mark Podolsky, founder of LandGeek Enterprises, to explore how land investing works, why it has incredible margins, and how it can generate passive income with minimal headaches. Key Takeaways: - Why Land Investing Is So Profitable – Learn how inefficiencies in the land market create opportunities for massive returns. - How to Value Land – Since traditional comps do not exist, discover alternative valuation strategies. - The Land Investment Model – A step by step breakdown of how to buy, sell, and owner finance raw land. - Who Buys Raw Land – Understanding the different buyer personas, from investors to outdoor enthusiasts and preppers. - Low Competition, High Margins – Why land investing remains a niche market with limited competition. - Passive Income Potential – How land contracts generate cash flow without tenants, renovations, or maintenance. - A Different Path to Financial Freedom – Mark's journey from investment banking to completing over 6,500 land deals. - Common Pitfalls and How to Avoid Them – Key mistakes new investors make and how to navigate them. Mark also shares insights from his books Dirt Rich and Dirt Rich 2, which provide a deeper dive into land investing strategies. Whether you are looking to diversify your portfolio or find a more hands off approach to real estate, this episode is packed with valuable insights. Want to learn more? Visit TheLandGeek.com or connect with Mark directly to explore investment opportunities. Order Dirt Rich here: https://landgeek.samcart.com/products/dirt-rich?utm_source=ready-2-scale&utm_medium=podcast Are you REady2Scale Your Multifamily Investments? Learn more about growing your wealth, strengthening your portfolio, and scaling to the next level at www.bluelake-capital.com. To reach Ellie & the Blue Lake team, email them at info@bluelake-capital.com or complete our investor form at www.bluelake-capital.com/new-investor-form and they'll connect with you. Credits Producer: Blue Lake Capital Strategist: Syed Mahmood Editor: Emma Walker Opening music: Pomplamoose Timestamps 00:00 Introduction to Dirt Rich Concept 00:21 Meet Mark Podolsky: The Land Geek 01:22 Understanding Land Valuation 03:30 The Land Investment Business Model 09:59 Competitive Landscape and Market Insights 19:54 Lightning Round and Final Thoughts Learn more about your ad choices. Visit megaphone.fm/adchoices
My guests today are Dwight Churchill and Gaurav Misra, co-founders of Captions, which uses AI to generate and edit talking videos and has grown to significant scale at remarkable speed. We explore a key distinction in AI: tackling bounded problems like video generation versus unbounded problems like general intelligence and what this means for building sustainable businesses. We also explore their unique data flywheel, why video generation could reach Hollywood quality within 18 months, and why building advanced AI products doesn't require huge teams. Please enjoy this discussion with Dwight and Gaurav. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. 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. Ramp is the fastest-growing FinTech company in history, and it's backed by more of my favorite past guests (at least 16 of them!) than probably any other company I'm aware of. Go to Ramp.com/invest to sign up for free and get a $250 welcome bonus. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Imagine completing your research five to ten times faster with search that delivers the most relevant results, helping you make high-conviction decisions with confidence. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. – This episode is brought to you by Ridgeline. 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. I think this platform will become the standard for investment managers, and if you run an investing firm, I highly recommend you find time to speak with them. Head to ridgelineapps.com to learn more about the platform. ----- Invest Like the Best is a property of Colossus, LLC. For more episodes of Invest Like the Best, visit joincolossus.com/episodes. Follow us on Twitter: @patrick_oshag | @JoinColossus Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:07:49) The Evolution and Impact of AI (00:09:14) Challenges in Video Data and AI (00:10:36) AI in Media Generation (00:12:07) Building a Sustainable AI Business (00:14:56) The Journey of a Video AI Company (00:25:41) AI Video Editing and Creation Tools (00:29:58) Future of AI in Video and Business (00:37:51) The Future of Likeness in Video (00:39:25) Training Models on Human Data (00:41:15) Competitive Landscape and Copycats (00:44:01) The Role of Research Talent (00:46:25) Pricing AI Software (00:51:51) Investor Perspectives on AI (01:02:44) Lessons from Snap (01:07:04) The Kindest Thing Anyone Has Done for Dwight & Gaurav
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