Y Combinator Startup podcast

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NerdWallet's Smart Money Podcast

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Estate Planning Made Simple and How to Handle Family Loans 32:09

4 weeks yang lalu32:09

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Learn how to build a simple estate plan and lend or repay family money without hurting your relationships. What’s the first thing to do when creating an estate plan? What’s the smartest way to handle loans between friends or family? Hosts Sean Pyles and Elizabeth Ayoola break down estate-planning basics like wills, revocable trusts, living wills/advance healthcare directives, and durable powers of attorney — tools that can ensure your wishes are carried out and help your loved ones avoid probate. They also share when to update your documents, how beneficiary designations can override your will, and three simple to-dos to get started without feeling overwhelmed. Then, mortgage and student loans writer Kate Wood joins Sean and Elizabeth to answer a listener’s question about paying a loan back to her parents. They explore how family loans and lending circles work, why it’s important to put agreements in writing (and when notarizing helps), and the impact informal loans can have on your credit. They also weigh different ways to set money aside, comparing high-yield savings accounts with taxable brokerage accounts invested in ETFs and considering timelines, growth potential, and tax trade-offs. Want us to review your budget? Fill out this form — completely anonymously if you want — and we might feature your budget in a future segment! https://docs.google.com/forms/d/e/1FAIpQLScK53yAufsc4v5UpghhVfxtk2MoyooHzlSIRBnRxUPl3hKBig/viewform?usp=header In their conversation, the Nerds discuss: estate planning, will vs trust, revocable trust, living will, durable power of attorney, healthcare proxy, advance healthcare directive, probate explained, beneficiary designation vs will, update beneficiaries after marriage, how often to update a will, intestate meaning, avoid probate, family loan agreement, lend money to family safely, informal lending, lending circle, saving circle, notarized loan contract, pros and cons of family loans, protect relationships when lending money, credit score and informal loans, high-yield savings accounts, taxable brokerage accounts, ETF basics for beginners, repaying parents for college, fiduciary roles in estate planning, power dynamics of lending to friends, writing a repayment schedule, when to use a trust for minors, and retitling assets into a trust. To send the Nerds your money questions, call or text the Nerd hotline at 901-730-6373 or email podcast@nerdwallet.com . Like what you hear? Please leave us a review and tell a friend. Learn more about your ad choices. Visit megaphone.fm/adchoices…

Y Combinator Startup Podcast

Beranda serial•Feed

We help founders make something people want.

287 episode

#Future Trends #Kevin Hale #Tech #YC Content

Y Combinator Startup Podcast

328 subscribers

updated sehari yang lalu

Beranda serial•Feed

We help founders make something people want.

287 episode

#Future Trends #Kevin Hale #Tech #YC Content

Semua episode

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Every AI Founder Should Be Asking These Questions 40:35

1 day yang lalu40:35

40:35

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Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI 1:04:04

7 hari yang lalu1:04:04

1:04:04

Ever wonder what it actually takes to train a frontier AI model?YC General Partner Ankit Gupta sits down with Nick Joseph, Anthropic's Head of Pre-training, to explore the engineering challenges behind training Claude—from managing thousands of GPUs and debugging cursed bugs to balancing compute between pre-training and RL. We cover scaling laws, data strategies, team composition, and why the hardest problems in AI are often infrastructure problems, not ML problems.…

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Fintech 3.0: Now Is The Best Time To Build In Crypto 42:00

15 hari yang lalu42:00

42:00

We are entering the era of Fintech 3.0. Regulatory clarity, growing consumer adoption, and low-cost chains have paved the way for a golden age of building in crypto — and at YC, Base, and Coinbase we want to fund builders to seize this moment. In this episode of Main Function, YC's Harj Taggar and Base's Jesse Pollak sat down to discuss what kinds of companies they're most excited to see, why this is such an exciting time in crypto, and what the future could look like onchain.More on our latest RFS: https://www.ycombinator.com/blog/build-onchain…

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Aaron Levie: Why Startups Win In The AI Era 40:27

22 hari yang lalu40:27

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For nearly two decades, Box co-founder and CEO Aaron Levie has been at the frontlines of how technology reshapes work—guiding the company through the rise of mobile, the cloud, and now the age of AI.In his fireside with YC General Partner David Lieb at AI Startup School, Aaron reflects on what it means to adapt a company over the long term, the hard lessons of staying relevant across multiple technology waves, and why he believes AI represents the most transformative shift yet.…

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The Future of Software Creation with Replit CEO Amjad Masad 42:01

26 hari yang lalu42:01

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Amjad Masad is the co-founder & CEO of Replit, now valued at $3B after a recent $250M Series C. He's spent nearly a decade making programming accessible to all—and with the rise of AI, that vision is closer than ever.In this talk from AI Startup School on June 17, 2025, Amjad traces the arc of computing from mainframes to personal computers to a future where AI agents can create software on demand. He predicts that the value of traditional software will approach zero, fundamentally reshaping how companies are built and how work gets done.…

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The FDE Playbook for AI Startups with Bob McGrew 50:42

4 weeks yang lalu50:42

50:42

Bob McGrew helped build some of the most influential technologies of the past two decades. Bob was an early engineer at PayPal, an early executive at Palantir, and was recently Chief Research Officer at OpenAI - where he led the development of ChatGPT, GPT-4 and the o1 reasoning model. During his time at Palantir, he was a pioneer of the Forward Deployed Engineer (FDE) model, a strategy that is at the heart of the AI boom today. On this episode of The Lightcone, he explains how FDEs became central to today's startups, why "doing things that don't scale at scale" works, and where he sees the biggest opportunities for founders working in AI.…

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Michael Truell: Building Cursor at 23, Taking on GitHub Copilot, and Advice to Engineering Students 27:55

5 weeks yang lalu27:55

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Michael Truell on June 17th, 2025 at AI Startup School in San Francisco.At 25, Michael Truell has already built Cursor into one of the fastest-growing companies in AI coding, hitting $100M ARR in just a year. In this fireside chat with YC General Partner Diana Hu, he shares the lessons that came from years of failed projects with his co-founders, why he believes programming is still essential even as AI changes how we code, and how Cursor is taking on GitHub Copilot with the conviction that all of software development will flow through models.…

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GPT-OSS vs. Qwen vs. Deepseek: Comparing Open Source LLM Architectures 12:31

6 weeks yang lalu12:31

12:31

OpenAI recently released its first open-weights model since GPT-2, entering a field led by DeepSeek and Alibaba's Qwen.YC's Ankit Gupta breaks down everything you need to know about these top OSS models, including what sets them apart under the hood. He’ll compare their approaches to mixture-of-experts, long-context training, and post-training techniques that shape reasoning and alignment—and explore how different design choices lead to surprisingly similar performance.…

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How This 25-Year-Old Built A $675M Legal AI Startup (With No Legal Experience) 45:25

6 weeks yang lalu45:25

45:25

In this episode of Founder Firesides, YC General Partner Gustaf Alströmer is joined by Max Junestrand, co-founder and CEO of Legora, one of the fastest-growing legal AI startups in the world. In just 13 months, Max and his team scaled from 10 to 100 people, raised $80M, and cracked the challenge of selling to one of the most skeptical industries. Max shares insights on building a successful vertical AI company, selling to conservative markets, and sheds light on what the future of legal tech looks like.…

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The Sales Playbook for Founders | Startup School 18:38

8 weeks yang lalu18:38

18:38

Navigating B2B sales for the first time can feel slow and overwhelming.Drawing from his experience founding Monzo and GoCardless, YC's Tom Blomfield shares his playbook for running a tight sales process that lands real, recurring revenue. He walks through each step—free and paid pilots, opt-out contracts, long-term deals—and shows how to prove value and close customers.…

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Figma CEO Dylan Field: How AI Will Transform Design 40:36

9 weeks yang lalu40:36

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Dylan Field on June 17th, 2025 at AI Startup School in San Francisco.Dylan Field co-founded Figma to bring the design process online and make it multiplayer. From a meme maker built on WebGL to a design platform powering millions, Figma’s journey hit a major milestone with its IPO last week.In this conversation, Dylan shares the early challenges of building in the browser, the early risks and pivotal choices that shaped Figma’s growth, the principles that guided its product and community, and how he thinks about building tools that empower creativity at scale.…

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The Finance Startup Bringing Agentic AI to Wall Street 46:15

10 weeks yang lalu46:15

46:15

Brothers Chaz and Arnie Englander started Model ML after building and selling two YC companies. What began as a tool to help them analyze deals has grown into a full AI-powered workspace purpose-built for financial services, empowering firms to create automations and workflows that reflect exactly how their teams operate. And it's already being used by 10% of the world's top investment banks and private equity firms to automate everything from client-ready PowerPoint decks to deep-dive research and due diligence—by orchestrating AI agents that work like expert team members. In this conversation with YC Partner Gustaf Alstromer, they discuss going from internal tool to production platform, the power of perseverance, and their ambition to build a billion-dollar company with just ten people.…

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Scaling and the Road to Human-Level AI | Anthropic Co-founder Jared Kaplan 40:47

10 weeks yang lalu40:47

40:47

Jared Kaplan on June 16th, 2025 at AI Startup School in San Francisco.Jared Kaplan started out as a theoretical physicist chasing questions about the universe. Then he helped uncover one of AI’s most surprising truths: that intelligence scales in a predictable, almost physical way.That insight became foundational to the modern era of large language models—and led him to co-found Anthropic.In this talk, he walks through how that discovery reshaped the path to human-level AI, what it means for future models like Claude, and why even the dumbest questions can lead to the biggest breakthroughs. He reflects on memory, oversight, and what’s left to solve as models grow smarter—and longer-horizon tasks come within reach.…

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Brand Design Tips From Linear Founder Karri Saarinen 43:41

11 weeks yang lalu43:41

43:41

For this episode of Design Review, YC’s Aaron Epstein is joined by Karri Saarinen, co-founder & CEO of Linear, one of the top designer-founders working today. Together, they'll review several sites from the YC community with an eye for how to build and maintain a high-quality brand. Thank you to these companies for volunteering to have their sites reviewed*:Sprites AI (https://www.sprites.ai)GigaML (https://gigaml.com)UnReal Milk (https://www.unrealmilk.com)Confident AI (https://www.confident-ai.com)Dropback (https://www.dropback.com)*Some of the featured websites may be updated between the time we film and publish…

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Chelsea Finn: Building Robots That Can Do Anything 44:52

11 weeks yang lalu44:52

44:52

Chelsea Finn on June 17th, 2025 at AI Startup School in San Francisco.From MIT through her PhD at Berkeley, where she pioneered meta‑learning methods, and Google Brain, Chelsea Finn has built her career around teaching machines how to learn. Now an Assistant Professor at Stanford and co‑founder of Physical Intelligence, she’s using that foundation to bring learning-driven robotics into messy, real-world environments rather than confined lab setups.In this talk, Chelsea traces the evolution of her team’s work—from early experiments on robotic grasping and vision to today’s ambitious efforts at folding laundry, tidying kitchens, and generalizing across tasks—all without hand-crafted code. Instead, they used scalable foundation models and massive datasets, teaching robots physical common sense as they learn by doing. She shares stories of the rocky setbacks, the surprises hidden in data, and the moment it all clicked: robots equipped with generalizable physical intelligence can indeed adapt and assist in the unpredictable world around us.…

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