Y Combinator

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30/05/2025

State-Of-The-Art Prompting For AI Agents

At first, prompting seemed to be a temporary workaround for getting the most out of large language models. But over time, it's become critical to the way we interact with AI. On the Lightcone, Garry, Harj, Diana, and Jared break down what they've learned from working with hundreds of founders building with LLMs: why prompting still matters, where it breaks down, and how teams are making it more reliable in production. They share real examples of prompts that failed, how companies are testing for quality, and what the best teams are doing to make LLM outputs useful and predictable. The prompt from Parahelp (S24) discussed in the episode: https://parahelp.com/blog/prompt-design
7月28日

Boris Cherny: Building Claude Code

Fresh off the launch of Opus 5, Claude Code creator Boris Cherny joins Diana Hu at Startup School 2026 to talk about what the newest models can do, how Claude Code came to be, and what it means to build products when the underlying capabilities keep accelerating.
7月9日

How To Better Understand Your Users

Most founders obsess over dashboards and aggregate metrics, but some of the best product insights come from understanding how individual users actually use their product. In this episode of Startup School, YC's David Lieb walks through one of his favorite tools for better understanding your users, the dot plot. It's a simple two-dimensional grid that reveals usage patterns no aggregate chart can show you. He’ll cover why it gives founders a better sense of product health, what patterns to look for, and real-world exam
6月17日

How To Pick A Startup Idea

Many founders get stuck trying to find the perfect startup idea before they commit. But the perfect idea doesn't exist in the abstract. The only way to find what works is to pick one, go deep, and get feedback from real customers. In this episode of Startup School, YC's Jon Xu breaks down how to choose what to build, "burn the other boats," and go deep enough to practically run your customer's business— and why that depth is what surfaces the better idea underneath.
18/06/2025

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.
22/04/2024

When Should You Trust Your Gut? | Dalton & Michael Podcast

When you’re making important decisions as a founder — like what to build or how it should work — should you spend lots of time gathering input from others or just trust your gut? In this episode of Dalton & Michael, we talk more about this and how to know when you should spend time validating and when to just commit. Apply to Y Combinator: https://yc.link/DandM-apply Work at a Startup: https://yc.link/DandM-jobs
28/08/2019

#141 - Diana Hu

Diana Hu cofounded Escher Reality, which went through the Summer 2017 batch of YC. They were acquired by Niantic and she is now the head of their AR platform.She's on Twitter @sdianahu.The YC podcast is hosted by Craig Cannon.Y Combinator invests a small amount of money ($150k) in a large number of startups (recently 200), twice a year.Learn more about YC and apply for funding here: https://www.ycombinator.com/apply/***Topics00:00 - Intro00:40 - Getting into AR2:55 - Her first exposure to AR4:40 - AR's future role in media7:45 - Deciding where to go with the product 9:55 - Innovations that enabled AR14:25 - Building a product in a new market17:25 - Raising money for a new market21:40 - Advice for founders after an acquisition 26:40 - Immigrating to the US31:10 - Advice for Immigrant founders33:49 - Advice for founders in/after YC
15/12/2022

How to Get and Evaluate Startup Ideas with Jared Friedman | Startup School

YC's Jared Friedman shares a framework for how to get and evaluate startup ideas. He delves into examples of YC companies and the inside stories of how they came up with the ideas that turned into billion-dollar companies. Even if you have an existing idea, this talk helps founders confirm that their idea is good and/or provides a framework for a future pivot.Apply to Y Combinator: ⁠⁠https://yc.link/SUS-apply⁠⁠ Work at a Startup: ⁠⁠https://yc.link/SUS-jobs
28/12/2023

AI and the Future of Law: The 10 Year "Overnight" Success Story | Main Function

Casetext started out in 2013 as a crowdsourced law library — a sort of “Wikipedia meets Reddit” for the law. Ten years later, Casetext is one of the biggest wins to date in AI, capable of turning weeks of arduous legal work into hours or minutes. Just months ago it was acquired for $650 million dollars. What happened between those two points? For this episode of Main Function, YC President Garry Tan sits down with Casetext co-founder Jake Heller to learn the real story of their 10-year “overnight” success: the 3 a.m. origin story, how the company evolved as fast as tech would allow, and the “magic demo” that helped turn Casetext into a rocket ship. Apply to Y Combinator: https://yc.link/MainFunction-apply Work at a Startup: https://yc.link/MainFunction-jobs
01/12/2022

Avoid These Tempting Startup Ideas

Thinking of a new startup idea? Dalton Caldwell and Michael Seibel discuss the types of ideas to stay away from—what we commonly refer to as "tarpit ideas." Apply to Y Combinator: https://yc.link/DandM-apply Work at a Startup: https://yc.link/DandM-jobs

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