Y Combinator

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频道 • 2 个节目

科技

科技

两周一更
科技

科技

两周一更

10月28日

From Idea to $650M Exit: Lessons in Building AI Startups

Jake Heller is the co-founder & CEO of Casetext, the AI legal startup behind CoCounsel, which was acquired by Thomson Reuters for $650 million.In his talk at AI Startup School on June 17th, 2025, he shared how his team did it—from picking the right idea to building AI products that actually work—and how founders can turn a cool demo into a reliable tool used by real customers.

10月28日

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39 分钟
1天前

How To Recruit The Best Engineers And Sales Reps

Most founders think hiring is about interviewing. But it's actually about selling.For Startup School, Juicebox co-founder & CEO David Paffenholz joins YC's Harj Taggar to share how early-stage founders can find, pitch, and close top engineering and sales talent— from crafting better outreach to winning great hires from Big Tech— even when you're an unknown startup.

1天前

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43 分钟
10月23日

Transformers: The Discovery That Sparked the AI Revolution

Nearly every modern AI model, from ChatGPT and Claude to Gemini and Grok, is built on the same foundation: the Transformer.In this video, YC's Ankit Gupta traces how AI learned to understand language — from early RNNs and LSTMs to attention mechanisms and the breakthrough 2017 paper Attention Is All You Need — the discovery that unlocked the modern AI era.

10月23日

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9 分钟
10月14日

What Everyone Is Getting Wrong About AI And Jobs

For years, we've heard two major narratives about AI. One predicting the end of human work, the other dismissing it as hype. The truth is more nuanced, and more hopeful.From radiology to software engineering, the pattern repeats: as technology makes tasks cheaper and faster, demand for human creativity and judgment grows.YC's Garry Tan explores what history, economics, and real companies show us— that technology doesn't replace people, it redefines what we can do.

10月14日

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8 分钟
10月21日

YC Partners Answer Your Questions | Office Hours

Every founder faces moments where they’re not sure what to do next — such as how to go to market with AI products, when to pivot, and who/when to hire. In this episode of Office Hours, YC partners Pete Koomen, Brad Flora, Nicolas Dessaigne, and Gustaf Alströmer answer real questions from founders and share stories about how great teams build conviction, learn faster, and make better decisions as they grow.

10月21日

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39 分钟
10月3日

The 7 Most Powerful Moats For AI Startups

In the early days, the only moat that startups have is speed. Once you make something people want, the question becomes what deeper moats can you build on to defend against the competition?Garry, Harj, Diana, and Jared dive into Hamilton Helmer’s Seven Powers framework to find out how these moats show up in practice today in AI startups.

10月3日

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45 分钟
5月16日

Startups Ideas You Can Now Build With AI

There's never been a better time to start an AI company. Not just because there are new ideas, but because the tech finally makes old ones actually work.On the Lightcone, Garry, Harj, Diana, and Jared talk through the kinds of startups that are suddenly viable thanks to LLMs—from full-stack law firms to personalized tutors to recruiting platforms that can finally scale. They share the patterns they're seeing, the ideas they're excited about, and what it means to live at the edge of the future, where breakthroughs often look like second chances.If you've been waiting for the right moment to build, this is it.

5月16日

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41 分钟
10月1日

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

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.

10月1日

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1 小时 4 分钟
6月18日

Alexandr Wang: Building Scale AI, Transforming Work with Agents & Competing With China

Alexandr Wang started Scale AI to help machine learning teams label data faster.It started as a simple API for human labor, but behind the scenes, he was tackling a much bigger problem: how to turn messy, real-world data into something AI could learn from. Today, that early idea powers a multi-hundred-million-dollar engine behind America's AI infrastructure—fueling everything from Fortune 500 workflows to real-time military planning. Just last week, Meta agreed to invest over $14 billion in Scale AI, valuing the company at $29 billion.Alexandr joined us on the Lightcone to share how Scale AI evolved from a scrappy YC startup into the backbone of some of the world's most advanced AI systems, how he thinks about competition with Chinese AI labs, and what it takes to build infrastructure that shapes the frontier.

6月18日

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1 小时 1 分钟
9月16日

Aaron Levie: Why Startups Win In The AI Era

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.

9月16日

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40 分钟

Make something people want.