BIG IDEAS BY NEW ECONOMIES

Ollie Forsyth

Welcome to BIG IDEAS by NEW ECONOMIES - a show where we learn how the most iconic founders have turned crucible moments into global companies. www.neweconomies.co

  1. 2h ago

    I Had To Save Nextdoor | Co-Founder & CEO Nirav Tolia

    Subscribe to stay ahead of technology trends. Never miss future editions. Why I Returned As CEO After 5 Years Away Nirav Tolia, Co-Founder & CEO of Nextdoor, joins NEW ECONOMIES on the company's founding story, why Nirav came back as CEO and the impact of community in the midst of AI. Download the full transcript: Nirav Tolia is the co-founder and CEO of Nextdoor, the neighborhood network connecting over 110 million people across communities worldwide. Having built and sold Shopping.com to eBay, returned to lead Nextdoor through a major transformation, and served as a guest shark on Shark Tank, Nirav is one of Silicon Valley’s most seasoned operators. In this episode, we explore what it takes to rebuild a company from the inside — and why the hardest thing in tech isn’t starting, it’s coming back. We discuss Nextdoor’s origin story, born from the ashes of a failed startup called Fanbase, and the crucible moment that gave Nirav the courage to keep going. We dig into what it really feels like to return as founder-CEO after five and a half years away, why incumbency is often the straightest path to irrelevance, and how Nextdoor is repositioning itself for what Nirav calls the age of human connection — where AI reduces friction but real neighbors remain irreplaceable. We also explore the future of local community, the untapped potential of 110 million sign-ups, and the lessons Nirav has taken from working alongside legendary investor and mentor Bill Gurley for over two decades. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Timestamps (0:00) Nirav Tolia, Co-Founder & CEO at Nextdoor,(2:05) A Multi-year Turnaround (4:20) Crucible Moments That Led to 20+ Million Users (9:25) How to Fight Through Difficult Days (13:20) A Blossoming Co-founding Relationship (17:37) Stepping Away, Then Coming Back As CEO (24:40) The Third Act: An Enabled AI Version (29:50) The Age of Human Connection (36:30) Building To Stay Relevant (44:30) Will Nextdoor Win In This Market? (52:15) Rapid Fire Round Our notes from this conversation 1. The Crucible Moment Is About Daily Survival, Not Long-Term Vision The romanticized version of founding a company — the carefully considered spreadsheet, the bold strategic plan — is a myth constructed in retrospect. In the moment, it’s pure survival. Nextdoor was born from the ashes of a failed company called Fanbase, with co-founders who gave themselves one last summer to find something that worked. Having the courage to keep going when things are at their darkest is what separates founders who break through from those who don’t. 2. The Only Tolerable Way Through the Entrepreneurial Journey Is With Other People Nirav credits community — specifically his co-founder Sarah Leary, who he’s worked alongside for 27 years — as the through line of everything. Great co-founders aren’t just talented; they’re people you like, respect, and trust in equal measure. You need someone who can crack a joke at the right moment, solve an impossible problem the next, and stay when everyone else heads for the exits. That combination is extraordinarily rare, and when you find it, you don’t let go. 3. Coming Back as CEO Is Harder Than Starting From Scratch Returning founders face a unique psychological challenge: the temptation to restore what once was. Nirav was clear from day one that the answer was never to go back. The company he left in 2018 was different from the one he rejoined in 2023, and the company that needs to be built now is different again. The only useful frame when returning is phase three — learning from both prior chapters, but building something genuinely new. 4. Incumbency Is the Straightest Path to Irrelevance The story of the tech industry is one company eating another in a cycle of creative destruction. Standing still is effectively moving backwards. Nextdoor’s next phase required asking honestly: what still matters to people today, and what doesn’t? The shift from “what happened last weekend in my neighborhood” to “what’s happening this weekend” is deceptively simple but fundamentally changes the product — moving from objective information to subjective, human recommendation, which is something an LLM will never do as well as a neighbor. 5. The Age of Human Connection Is Not in Competition With AI — It Requires It The false choice between AI efficiency and human authenticity is one of the most important things Nirav pushes back on. The birth of the internet was the age of information. The emergence of AI is the age of intelligence. What comes next is the age of human connection — and AI’s role is to reduce the friction that stops people from finding each other, not to replace the connection itself. Nextdoor’s early decision to require real names and verified addresses, made long before AI was a concern, turns out to be one of its most valuable assets in a world where trust and identity are everything. 6. Bill Gurley’s Lesson: Whatever You’ve Achieved, 10x It No matter where Nextdoor reached, Bill Gurley’s consistent challenge was to multiply it. Not iterate — multiply by 10x. That relentless expansion of what’s possible, held by someone who simultaneously believes you’re capable of it, is the rarest and most valuable thing an investor can offer a founder. It’s not just high expectations. It’s high expectations paired with genuine faith. Related previous episodes If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    57 min
  2. May 20

    Maria Sharapova - Tennis Icon | Entrepreneur | Investor | New Media Creator

    Subscribe to stay ahead of technology trends. Never miss future editions. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Maria Sharapova is one of the greatest sporting icons of our time, having played over 800 matches, won 36 singles titles, and claimed 5 Grand Slams. Since retiring from the sport, she has become an entrepreneur, investor, and more recently, the host of her podcast Pretty Tough.In this episode, we explore what it takes to reach the top of your game in sport and why athletes should always be planning for their second act after retirement. We discuss some of Maria’s most iconic championship moments and which fellow tennis icon she has the most respect for.We also explore NEW MEDIA — the latest buzzy tech trend changing how we consume news and information, and who we get it from. Reflecting on our thoughts about the new media landscape, we discuss the impact of AI, how to become a great storyteller, and why creators could become the next generation of reporters at sporting press conferences. This was a very special episode, enjoy! Timestamps (0:00) Intro(3:19) Maria's Proudest Moment(4:45) Preparing for a Match(10:34) How to Find Balance(12:18) The Business of Sport(14:16) Having Dad as a Coach(17:32) Preparing for Retirement(20:40) How to Reinvent Yourself(25:40) New Media: Maria's New Podcast(35:30) Maria's Take on AI(39:55) Is Legacy Media Fading?(44:15) Reflecting on Maria's Career(48:15) Our Pretty Tough Questions Links Subscribe to Pretty Tough (https://www.youtube.com/@mariasharapova)Subscribe to NEW ECONOMIES (https://www.youtube.com/@NEWECONOMIESPOD)Follow Maria on Instagram (https://www.instagram.com/mariasharapova/) Follow Maria on X (https://x.com/MariaSharapova)Follow Ollie on X (https://x.com/ollieforsyth) Recently published editions relevant to new media If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    52 min
  3. May 13

    Why Startup Valuations No Longer Make Sense | Eric Hippeau

    Learn from the greatest technology leaders every week on the NEW ECONOMIES podcast. Subscribe to never miss a future episode. Hey listeners, If you work in tech, you’ve probably heard of Eric Hippeau, co-founder of Lerer Hippeau Ventures, one of the most prominent venture firms focused on the NYC startup ecosystem. With decades of experience in venture capital, Eric joins us to help unpack where we are in the new AI era, and where things may be headed next. Throughout this episode, we discuss what the current state of AI means for startup valuations, how many $10B+ companies this wave could create, what it really means to take a company public and whether it’s still the right path for founders, and how venture firms can continue to stay relevant in a rapidly changing landscape. Finally, as the former CEO of The Huffington Post - one of the most influential digital media publications of its time - Eric shares his words of wisdom on the future of news, creators, and how we consume information online. In this episode, we cover: How Eric thinks about physical AI: Why the best startups won’t just be thin wrappers around existing models. Why today’s startup market feels disconnected: With mega-funds, inflated seed rounds, and fewer realistic paths to liquidity. What happened to journalism online: From building The Huffington Post to navigating today’s fragmented media environment. How is the new media landscape being shaped? Venture capital is changing: Why solo GPs may struggle to compete against larger firms over the next decade. Could AI reshape healthcare: Especially across diagnostics, primary care, and lowering the cost of basic medical services. Anthropic tools like Claude are changing internal workflows: Why some firms are rebuilding around AI from the ground up. AR glasses may deserve another look: Why lightweight wearables could succeed where bulky headsets failed. The best founders treat startups like a marathon: How long-term thinking helps companies survive difficult markets and failed bets. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Chapters in this episode: (0:00) Why the Tech Market Feels Broken Right Now(4:45) The Biggest Tech Trends Everyone’s Watching(10:30) The New North Star for Startups(14:20) The Hidden Cost of Overvalued Startups(21:00) Why Companies Still Go Public(24:00) Why AI Could Create Massive New Wealth(26:40) How VCs Are Fighting to Stay Relevant(32:20) The Biggest Mistakes Solo GPs Make(33:56) How New Media Changed Everything(43:30) Building The Huffington Post(49:10) Can Creators Build Billion-Dollar Companies?(53:00) Rapid Fire Questions Stay in touch Follow Eric on X (https://x.com/erichippeau) Visit Lerer Hippeau (https://lererhippeau.com) Follow Ollie on X (https://x.com/ollieforsyth) If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    57 min
  4. May 6

    Will AI Models Ever Compensate Creators?

    Learn from the greatest technology leaders every week on the NEW ECONOMIES podcast. Subscribe to never miss a future episode. Hey ReadersIf you work in tech, you’ve probably heard the term “new media” — a new wave of the creator economy where creators are becoming the preferred distribution channels for brands and businesses.To better understand new media, the creator economy, and what the future of writing actually looks like, I spoke with Tony Stubblebine, CEO of Medium, to unpack what’s really happening.We also talked about Medium’s own journey. As many of you know, the company has faced its share of challenges: losing $2.5M a month at its peak, paying back $37M in overdue loans, making painful layoffs during COVID, and facing the enormous task of turning the business around. In this episode, we explore * The $2.5M Monthly Leak: How Tony restructured a “toxic” financial situation and turned a struggling unicorn profitable in under two years. * The Death of Free Traffic: Why the era of “free customers” from Google is ending and how to pivot your business model before it’s too late. * The “Barbell Effect” in Content: Why the middle class of creators is disappearing while AI slop and high-end human expertise move to opposite ends of the spectrum. * The Rise of Private Walled Gardens: Why the best writers are moving their content into private groups to protect their IP from AI scrapers. * AI as a Productivity “Power-Up”: Why writing is currently one year behind programming in the AI-adoption curve - and how to use it to 10x your output without losing your soul. * The Expert Economy vs. The Creator Economy: Why “living a life” is the only defensible moat left in a world of instant AI generation. * The New Rules of Distribution: How to build a “timeless” media brand that survives AI summaries and thrives in a world of subscription fatigue. Watch or listen now on… YouTube, Apple Podcasts, and Spotify In this episode, we unpack: (0:00) Intro (2:10) What is New Media?(5:20) What is good content today? (8:37) How did we end up here as creators?(12:25) Medium’s founding story (19:25) Medium’s lowest era(27:40) Tony’ toughest moments as CEO(31:25) Should creators be concerned about AI? (41:00) Will LLMs compensate creators? (46:12) Is The Creator Economy dead?(51:50) Medium’s next 12 months Links mentioned in this episode:NEW MEDIA (www.new-media.co)Medium (www.medium.com)Books: 1. How to win friends and influence people 2. The First 90 days Content pieces: 1. Want to Raise Venture Capital More Easily? Clean Up Your Own Shite First 2. Fell in a hole, got out TK App (https://medium.com/tk)Follow Ollie on X (https://x.com/ollieforsyth)Follow Tony on X (https://x.com/tonystubblebine) If you enjoyed this edition, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    54 min
  5. Why Attio Stayed in Stealth for 1,000 Days

    Apr 30

    Why Attio Stayed in Stealth for 1,000 Days

    Learn from the greatest technology leaders every week on the NEW ECONOMIES podcast. Subscribe to never miss a future episode. As we know, the CRM landscape is undergoing a huge transformation — with incumbents such as Salesforce being slow to move and innovate, newer players are entering the arena, moving faster with better innovation. To help us understand how legacy software is being forced to evolve, Nicolas Sharp, founder of Attio joins us on the podcast and shares his perspective on what it actually takes to build an “AI-native” business in a market dominated by slow-moving incumbents. In this episode, we explore * Why Attio spent 1,000 days in the lab perfecting its architecture while the rest of the world chased “ship-fast” agility. * Why Attio embedded AI across its products to stay ahead of the curve. * The playbook for deploying agents and AI features at scale when you serve thousands of customers. * Attio raised $52M last year — Nick explains how fundraising has evolved in the post-AI era. * The shrinking “half-life” of product-market fit in a world of rapid model iteration. * How to build a world-class team with high ambition while giving people the autonomy to thrive. * Why Europe is having a breakout moment — producing more unicorns and emerging as a global AI hub. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Chapters in this episode (0:00) Building in stealth for 1,000 days (10:10) Attio was built to be AI-native before it was the default(15:40) How does distribution effectively work when deploying AI agents?(22:40) What is product market fit today? (25:18) How to stay relevant (30:35) The biggest change when fundraising today (32:40) How to stay up to date with AI trends (35:20) How teams operate today looks very different vs before (38:20) Attio's culture (41:50) Why Europe is having its moment (45:40) Attio's ambitious 12 month plan (48:25) Who will build the next Slack? (49:00) Quick fire questions Discover previous episodes and stay ahead of the latest trends Explore all past episodes on your favorite podcast apps, including: * Yahoo CEO Jim Lanzone on the company’s turnaround story. * Dan Shipper on why traditional coding workflows are breaking. * Colin Angle on the $1.7B founder failure story. * David Haber (a16z) on the future of venture capital. * Emad Mostaque on AI systems replacing personal productivity. * Anatoly Yakovenko on how Solana survived early collapse. * Anish Acharya on the realities of building in the AI era. and more… Watch and subscribe now! Thanks for listening, see you in the next episode 👋 P.S. When you become an annual paid subscriber, you automatically access these best-in-class AI tools for free - for 12 months. Save thousands of dollars now! Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    58 min
  6. Apr 22

    Why A16Z Is Still Betting Big On Crypto

    AI and crypto are merging faster than anyone predicted. We asked the investor with a front-row seat to explain exactly where it’s going. Subscribe to never miss a future episode. As we know, crypto is evolving daily - right alongside AI. We wanted to get to the bottom of where these two fast-moving sectors are truly intersecting, so we sat down with Ali Yahya, General Partner at Andreessen Horowitz (a16z). With a background as an engineer at Google Brain before his move into venture capital, Ali has a front-row seat to this ‘relentless exponential’ growth and a unique perspective on how these two worlds are merging. In this episode, we explore: Why the definition of Artificial General Intelligence (AGI) has shifted from a sci-fi benchmark to a tangible economic goal; how a16z’s massive “platform” team of experts is rewriting the rules of venture capital; and why privacy is becoming the ultimate defensive “moat” for the next generation of crypto startups. We also dive into the ‘agentic economy’ - a future where your AI agent evolves from a simple assistant into a sophisticated tool that can automate workflows and interact with the digital world. We challenge the popular narrative around agents holding their own crypto wallets and discuss why the reality of agentic commerce will likely look quite different. Plus, Ali shares why, if he were starting his career today, he would bet everything on the next great frontier: ‘physical intelligence’ in robotics. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Chapters in this episode (0:00) How far we have come (4:10) What does AGI actually mean? (5:30) Inside Andreessen’s crypto fund (9:00) The impact of platform teams inside venture firms (12:00) Should we still be excited about crypto? (14:30) Why did NFTs not work? (19:00) Is privacy the new moat?(23:45) Where do startups go wrong within privacy?(26:30) Will AI agents ever transact on our behalf? (31:35) How long until AGI is fully adopted? (34:00) Is moving too quickly a distraction? (35:00) How has fundraising changed for founders? (37:20) The types of roles that are changing (41:25) Prediction markets(44:45) Startup ideas! Stay ahead of the latest trends: Watch all previous episodes Watch all previous episodes now on your favorite podcast apps. Episodes include: * Yahoo CEO Jim Lanzone on the company’s turnaround story. * Dan Shipper on why traditional coding workflows are breaking. * Colin Angle on the $1.7B founder failure story. * David Haber (a16z) on the future of venture capital. * Emad Mostaque on AI systems replacing personal productivity. * Anatoly Yakovenko on how Solana survived early collapse. * Anish Acharya on the realities of building in the AI era. and more… Watch and subscribe now! Thanks for listening, see you in the next episode 👋 P.S. When you become an annual paid subscriber, you automatically access these best-in-class AI tools for free - for 12 months. Save thousands of dollars now! Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    50 min
  7. Apr 15

    AI Is Replacing School Teachers

    Subscribe to NEW ECONOMIES to avoid missing future episodes. Hey listeners, Imagine walking into a classroom where there are no traditional teachers - just tablets, robots, and human instructors guiding every lesson. That future isn’t hypothetical. It’s already here. Today’s guest on the podcast is Joleen Liang, co-founder of Squirrel AI, an education startup from China that’s already teaching thousands of students without any form of traditional teachers present. With over 20 billion data points informing its system, the company is pushing the boundaries of personalized learning. They’re building toward a future with teacher robots, preparing for a public listing, and already generating hundreds of millions in revenue. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Takeaways from this episode * The Autonomous Engine: Joleen explains why Squirrel AI isn’t just a chatbot, but a “virtual super-teacher” capable of handling 100% of knowledge transfer, moving toward a future of fully self-directed, teacher-less instruction. * The “LAM vs. LLM” Edge: Why generic AI models are insufficient for education; Joleen breaks down their proprietary Learning Analysis Model (LAM) that analyzes 20 billion data points to diagnose why a student is stuck rather than just giving them the answer. * The “Double Reduction” Resurrection: A raw look at the 2021 Chinese regulatory shift that sent revenue to zero overnight from hundreds of millions of dollars, and how Squirrel AI pivoted from software-only to a hardware-integrated “Smart Tablet” powerhouse to survive. * The “Data Analyst” Instructor: How the role of the teacher is being permanently re-coded - shifting from a lecturer to a “psychologist and data scientist” who only intervenes when the AI triggers an alarm on a student’s frustration levels. * The “Equity for Debt” Gambit: The incredible story of how 80% of their franchisees, facing a total market collapse, chose to convert their debt into company stock because they believed in the AI’s results more than the immediate cash. * The “Multimodal” Mirror: A deep dive into the use of eye-gazing, facial expression tracking, and “mistake reasoning” to create a learning profile so specific it can predict a student’s mastery better than a human tutor ever could. * The “Modern Discipline” Divide: Joleen discusses the cultural friction of expanding into the US, comparing the disciplined learning habits of Asian markets with the need for high-engagement, hyper-interesting content to keep Western students focused. In this episode, we cover: (0:00) AI is replacing school teachers(1:45) Why is edTech having its moment?(4:20) What do parents actually think about AI?(7:00) Do we REALLY need to spend 20+ years in school today?(9:50) How do students actually use AI inside the classroom?(12:45) Can Squirrel be globally adopted outside of China?(20:00) How China tracked students’ performance(25:45) The terrifying moment in 2021(35:30) How to disagree with your team(39:50) Why IPO vs. private?(41:20) Where to expand next?(42:15) Our next five years(45:00) One lesson you teach other founders Thanks for listening, see you in the next episode 👋 P.S. When you become an annual paid subscriber, you automatically access these best-in-class AI tools for free - for 12 months. Save thousands of dollars now! Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    46 min
  8. Apr 7

    Yahoo! Is Striking Back

    Hey listeners! Do you remember when you set up your first email address? Well it might have been on Yahoo! - remember them? They have been pretty quiet over the years, having gone through a complete turnaround from a public company to a private one, selling off a bunch of assets, but they are now back, and we just interviewed their CEO Jim Lanzone, and SVP Head of Yahoo Research Group Eric Feng for a great podcast episode. In this episode, we cover a range of topics including: Why Yahoo is striking back and the steps it has taken to achieve this. You might not realize this, but Yahoo actually has 700 million users, so it’s still a mighty powerful platform - we discuss what new products they are currently building and how they plan to have multiple touchpoints with the consumer over the coming years. We also learn about the future of search, whether Yahoo would ever launch their own AI models, how they think about launching new products with smaller team sizes in the wake of AI, plus the launch of their latest product - MyScout, the first personalized homepage for AI answers. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Takeaways from this episode * The “Modern Vintage” Pivot: How Yahoo is rebranding itself as the “New Balance” of tech, a legacy name finding massive new relevance with Gen Z and Millennials who make up 50% of their 700 million user base. * The “Ironman Suit” Philosophy: Jim explains why he isn’t using AI to replace humans, but rather as a power-suit that allows a “thousands-person” company to compete with the output of a “millions-person” organization. * The “Toys” of a Titan: Why Yahoo has an unfair advantage in the AI race by sitting on 30 years of proprietary “toys” - including a massive interest graph and search history that generic LLMs simply cannot replicate. * The Social Contract of AI: A candid look at why Yahoo prioritizes citing sources and sending traffic back to publishers, arguing that a “closed” AI ecosystem is a death sentence for the quality of the internet. * The Private Equity “Blank Slate”: How spinning out of Verizon and returning to a private structure under Apollo allowed Jim to “deconstruct the cake,” shutting down unprofitable divisions to focus on winning the “F1 race” of consumer internet. * Domain Expertise Over Syntax: Eric’s provocative take on why “being a geek” about finance or sports is now more valuable than being a world-class coder, as AI makes technical execution a commodity. Chapters in this episode (0:00) Yahoo’s Founding Story (3:38) How Yahoo’s CEO Turned Around The Internet Darling (9:00) Is Yahoo The Trusted Guide To The Internet? (11:50) Building New Products At Scale(13:40) AI Models & Their Possibilities?(20:30) What Does The Future Of Search Actually Look Like?(22:15) Are We Surprised How Fast AI Has Advanced?(29:10) How Yahoo Thinks About Hiring Headcount With AI (32:20) Upskilling Teams On AI (39:25) Why Develop Multiple User Touchpoints (44:30) Bursting With Opportunities: What Can Be Achieved(50:00) Lightning Round Thanks for listening, see you in the next episode 👋 P.S. When you become an annual paid subscriber, you automatically access these best-in-class AI tools for free - for 12 months. Save thousands of dollars now!! Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    54 min

About

Welcome to BIG IDEAS by NEW ECONOMIES - a show where we learn how the most iconic founders have turned crucible moments into global companies. www.neweconomies.co

You Might Also Like