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Y Combinator

We help founders make something people want.

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.

The FDE Playbook for AI Startups with Bob McGrew

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.

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

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.

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

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.

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

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.

The Sales Playbook for Founders | Startup School

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.

Figma CEO Dylan Field: How AI Will Transform Design

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.

The Finance Startup Bringing Agentic AI to Wall Street

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.

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

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

Brand Design Tips From Linear Founder Karri Saarinen

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.

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

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