Y Combinator

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2 天前

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

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.

2 天前

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28 分鐘
8月29日

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

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.

8月29日

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13 分鐘
8月26日

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

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.

8月26日

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45 分鐘
8月21日

Anthropic Co-founder: Building Claude Code, Lessons From GPT-3 & LLM System Design

Tom Brown co-founded Anthropic after helping build GPT-3 at OpenAI. A self-taught engineer, he went from getting a B-minus in linear algebra to becoming one of the key people behind AI's scaling breakthroughs. And his work is paying off. Today, Anthropic's Claude is the go-to choice for developers, and his team is overseeing what he calls "humanity's largest infrastructure buildout ever." On this episode of The Lightcone, he discusses his unconventional path from YC founder to AI researcher, the discovery of scaling laws that changed everything, and his advice for young engineers entering AI today.

8月21日

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36 分鐘
8月15日

The Sales Playbook for Founders | Startup School

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.

8月15日

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19 分鐘
8月8日

Figma CEO Dylan Field: How AI Will Transform Design

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.

8月8日

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41 分鐘
7月8日

How to Spend Your 20s in the AI Era

AI has upended the once "safe" CS career path. New grads are facing unemployment rates twice those of art history majors, and a CS degree is no longer a surefire ticket to wealth. At the same time, small, focused teams are scaling from zero to eight-figure revenue in months. In a special Lightcone Live at AI Startup School, Garry, Diana, Harj, and Jared discuss why it's now more important than ever to focus on building real skills, domain expertise, and agency rather than just chasing credentials.

7月8日

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39 分鐘
6月27日

Legendary Consumer VC Predicts The Future Of AI Products

Kirsten Green, founder of Forerunner Ventures, has backed some of the most iconic consumer brands of the past two decades — from Warby Parker to Chime to Dollar Shave Club. In this conversation with Garry, she shares how great products (not marketing tricks) still win, why AI is unlocking a new kind of emotional relationship between consumers and technology, and what founders can learn from the messy creative stage we're in right now. She also breaks down how shifts in distribution, wellness, and digital behavior are reshaping what it means to build for real human needs.

6月27日

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36 分鐘
6月21日

Sam Altman: The Future of OpenAI, ChatGPT's Origins, and Building AI Hardware

A fireside with Sam Altman at AI Startup School in San Francisco.Sam Altman grew up obsessed with technology, broke into the Stanford mainframe as a kid, and dropped out to start his first company before turning 20.In this conversation, he traces the path from early startup struggles to building OpenAI—sharing what he’s learned about ambition, the weight of responsibility, and how to keep building when the whole world is watching. He opens up about the hardest moments of his career, the limits of personal productivity, and why, in the end, it's all still about finding people you like working with and doing something that matters.

6月21日

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43 分鐘
7月22日

Chelsea Finn: Building Robots That Can Do Anything

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.

7月22日

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45 分鐘

Make something people want.