Y Combinator

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Kanal • 2 program

Teknologi

Teknologi

Varje vecka
Teknologi

Teknologi

Varannan vecka

−6 D

The FDE Playbook for AI Startups with Bob McGrew

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.

−6 d

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51 min
−2 D

The Future of Software Creation with Replit CEO Amjad Masad

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.

−2 d

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42 min
3 SEP.

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.

3 sep.

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28 min
−2 D

The FDE Playbook for AI Startups with Bob McGrew

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.

−2 d

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51 min
15 AUG.

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.

15 aug.

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19 min
26 AUG.

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.

26 aug.

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45 min
21 JUNI

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.

21 juni

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43 min
29 AUG.

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.

29 aug.

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13 min
21 AUG.

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.

21 aug.

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36 min
19 JUNI

Andrej Karpathy: Software Is Changing (Again)

Andrej Karpathy's keynote at AI Startup School in San Francisco.Drawing on his work at Stanford, OpenAI, and Tesla, Andrej sees a shift underway. Software is changing, again. We’ve entered the era of “Software 3.0,” where natural language becomes the new programming interface and models do the rest.He explores what this shift means for developers, users, and the design of software itself— that we're not just using new tools, but building a new kind of computer. Slides provided by Andrej: https://drive.google.com/file/d/1a0h1mkwfmV2PlekxDN8isMrDA5evc4wW/view?usp=sharing

19 juni

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40 min

Make something people want.