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04/12/2025

Palo Alto Networks ft Nir Zuk & Nikesh Arora - The Grudge That Transformed Cybersecurity

In the early 2000s, the cybersecurity industry was dominated by incumbents focused on high margins, not innovation. Nir Zuk tells the story of how, frustrated by this stagnant culture, he set out on his own with a radical idea: the Next-Generation Firewall. His vision was to unify dozens of security functions into a single, intelligent platform delivered via cloud—an approach everyone thought was crazy. Palo Alto Networks started as a disruptive startup with Nir sporting a "Check Point Killer" vanity license plate, and grew to dominate cybersecurity. We explore the crucible moments that defined its path: the controversial decision to insist on being a new kind of "firewall" vs. a “firewall helper,” the challenge of scaling a hyper-growth company, and the critical pivot from building everything in-house to current CEO Nikesh Arora’s aggressive acquisition strategy that remade the company for the cloud era. Nir, Nikesh, and the core leadership team offer a masterclass in product conviction, strategic transformation, and the courage to disrupt yourself before the market does it for you. Featuring: Nir Zuk, Nikesh Arora, Lee Klarich, Rajiv Batra, Mark McLaughlin, Jim Goetz, Asheem Chandra Hosted by: Roelof Botha, Sequoia Capital
13/11/2024

Decart’s Dean Leitersdorf on AI-Generated Video Games and Worlds

Can GenAI allow us to connect our imagination to what we see on our screens? Decart’s Dean Leitersdorf believes it can. In this episode, Dean Leitersdorf breaks down how Decart is pushing the boundaries of compute in order to create AI-generated consumer experiences, from fully playable video games to immersive worlds. From achieving real-time video inference on existing hardware to building a fully vertically integrated stack, Dean explains why solving fundamental limitations rather than specific problems could lead to the next trillion-dollar company. Hosted by: Sonya Huang and Shaun Maguire, Sequoia Capital 00:00 Introduction 03:22 About Oasis 05:25 Solving a problem vs overcoming a limitation 08:42 The role of game engines 11:15 How video real-time inference works 14:10 World model vs pixel representation 17:17 Vertical integration 34:20 Building a moat 41:35 The future of consumer entertainment 43:17 Rapid fire questions
20/11/2025

Bolt ft. Markus Villig - From Bootstrapping in Estonia to a Global Leader in Mobility

At 19, Markus Villig borrowed €5,000 from his parents to fix Estonia's broken taxi system. What happened next defied every conventional startup playbook. Markus started by making fleet dispatch software for local taxi companies. But when it became clear they weren’t embracing the on-demand revolution, he pivoted the business to ride-hailing for drivers, competing directly against what had been his core customer. The product took off in Estonia. But when Bolt's first expansion into Western Europe nearly bankrupted the company, Markus and team made another counterintuitive pivot: they built a data model that pointed to African cities no one else was targeting. They launched in Johannesburg remotely with a university student and a credit card. While investors warned against emerging markets, Bolt's data proved them wrong. This episode chronicles Bolt's inflection points to become the number-one ridehailing and delivery app across much of Europe, Africa and the Middle East by treating expansion as "a portfolio of bets" and staying ruthlessly pragmatic about what works. Featuring: Markus Villig, Jevgeni Kabanov, Pavel Karagjaur, Andrew Reed Hosted by: Roelof Botha, Sequoia Capital
2月3日

What’s the Future of Vertical SaaS in an AGI World? Jamie Cuffe, CEO of Pace

Jamie Cuffe is solving one of AI's hardest problems: getting conservative, regulated industries to trust autonomous agents with mission-critical work. At Pace, he's building AI that replaces traditional BPOs in insurance, handling everything from email triage to claims processing with 50-75% cost savings. Drawing on his experience at Retool, Jamie emphasizes the importance of "closing the distance" with customers through forward-deployed engineering and being "the rock" that clients can rely on. He shares how focusing on top-tier insurance carriers and maintaining exceptionally high standards is enabling Pace to capture a meaningful share of the $400 billion BPO market while building a durable business model - at AI-native velocity. Hosted by Lauren Reeder and Pat Grady, Sequoia Capital
24/10/2024

DoorDash ft. Tony Xu – The “Wrong” Moves That Built a Giant

DoorDash faced skeptics from the start. Grubhub, Delivery.com, and others were already addressing the restaurant delivery market when CEO Tony Xu and his co-founders started in 2013. But after talking to hundreds of local small businesses, they realized there was still an unmet need: None of the competitors solved the problem of delivery with an on-demand workforce, the way Uber had done with drivers. After struggling to raise initial funding, DoorDash found traction. But the next few years would prove tumultuous, with cash scarcity and investor skepticism putting the company perilously close to the brink. The founders’ contrarian decisions, clarity on their commitment to serve small local businesses, and ability to out-operate competitors has turned DoorDash into one the decade’s startup success stories. In this episode, Tony brings us inside their decision-making, and what DoorDash saw that others missed. Host: Roelof Botha, Sequoia Capital Featuring: Tony Xu, Keith Yandell, Miki Kuusi, Alfred Lin
29/10/2024

How Glean CEO Arvind Jain Solved the Enterprise Search Problem – and What It Means for AI at Work

Years before co-founding Glean, Arvind was an early Google employee who helped design the search algorithm. Today, Glean is building search and work assistants inside the enterprise, which is arguably an even harder problem. One of the reasons enterprise search is so difficult is that each individual at the company has different permissions and access to different documents and information, meaning that every search needs to be fully personalized. Solving this difficult ingestion and ranking problem also unlocks a key problem for AI: feeding the right context into LLMs to make them useful for your enterprise context. Arvind and his team are harnessing generative AI to synthesize, make connections, and turbo-change knowledge work. Hear Arvind’s vision for what kind of work we’ll do when work AI assistants reach their potential. Hosted by: Sonya Huang and Pat Grady, Sequoia Capital 00:00 - Introduction 08:35 - Search rankings 11:30 - Retrieval-Augmented Generation 15:52 - Where enterprise search meets RAG 19:13 - How is Glean changing work? 26:08 - Agentic reasoning 31:18 - Act 2: application platform 33:36 - Developers building on Glean 35:54 - 5 years into the future 38:48 - Advice for founders
08/04/2025

Replit CEO Amjad Masad on 1 Billion Developers: A Better End State than AGI?

Amjad Masad set out more than a decade ago to pursue the dream of unleashing 1B software creators around the world. With millions of Replit users pre-ChatGPT, that vision was already becoming a reality. Turbocharged by LLMs, the vision of enabling anyone to code—from 12-year-olds in India to knowledge workers in the U.S.—seems less and less radical. In this episode, Amjad explains how an explosion in the developer population could change the economy, society and more. He also discusses his early days programming in Jordan, his unique management approach and what AI will mean for the global economy. Hosted by David Cahn and Sonya Huang, Sequoia Capital Mentioned in this episode: On the Naturalness of Software: 2012 paper on applying NLP to code Attention Is All You Need: Seminal 2017 paper on transformers I Am a Strange Loop: 2007 follow up to Douglas Hofstadter’s 1979 classic Gödel, Escher, Bach that explores how self-referential systems can describe minds On Lisp: Paul Graham’s 1993 book on the original programming language of AI
11/03/2025

How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

Harvey CEO Winston Weinberg explains why success in legal AI requires more than just model capabilities—it demands deep process expertise that doesn’t exist online. He shares how Harvey balances rapid product development with earning trust from law firms through hyper-personalized demos and deep industry expertise. The discussion covers Harvey’s approach to product development—expanding specialized capabilities then collapsing them into unified workflows—and why focusing on complex work like international mergers creates the most defensible position in legal AI. Hosted by: Sonya Huang and Pat Grady, Sequoia Capital
16/07/2024

Reflection AI’s Misha Laskin on the AlphaGo Moment for LLMs

LLMs are democratizing digital intelligence, but we’re all waiting for AI agents to take this to the next level by planning tasks and executing actions to actually transform the way we work and live our lives. Yet despite incredible hype around AI agents, we’re still far from that “tipping point” with best in class models today. As one measure: coding agents are now scoring in the high-teens % on the SWE-bench benchmark for resolving GitHub issues, which far exceeds the previous unassisted baseline of 2% and the assisted baseline of 5%, but we’ve still got a long way to go. Why is that? What do we need to truly unlock agentic capability for LLMs? What can we learn from researchers who have built both the most powerful agents in the world, like AlphaGo, and the most powerful LLMs in the world? To find out, we’re talking to Misha Laskin, former research scientist at DeepMind. Misha is embarking on his vision to build the best agent models by bringing the search capabilities of RL together with LLMs at his new company, Reflection AI. He and his cofounder Ioannis Antonoglou, co-creator of AlphaGo and AlphaZero and RLHF lead for Gemini, are leveraging their unique insights to train the most reliable models for developers building agentic workflows. Hosted by: Stephanie Zhan and Sonya Huang, Sequoia Capital 00:00 Introduction 01:11 Leaving Russia, discovering science 10:01 Getting into AI with Ioannis Antonoglou 15:54 Reflection AI and agents 25:41 The current state of Ai agents 29:17 AlphaGo, AlphaZero and Gemini 32:58 LLMs don’t have a ground truth reward 37:53 The importance of post-training 44:12 Task categories for agents 45:54 Attracting talent 50:52 How far away are capable agents? 56:01 Lightning round Mentioned: The Feynman Lectures on Physics: The classic text that got Misha interested in science. Mastering the game of Go with deep neural networks and tree search: The original 2016 AlphaGo paper. Mastering the game of Go without human knowledge: 2017 AlphaGo Zero paper Scaling Laws for Reward Model Overoptimization: OpenAI paper on how reward models can be gamed at all scales for all algorithms. Mapping the Mind of a Large Language Model: Article about Anthropic mechanistic interpretability paper that identifies how millions of concepts are represented inside Claude Sonnet Pieter Abeel: Berkeley professor and founder of Covariant who Misha studied with A2C and A3C: Advantage Actor Critic and Asynchronous Advantage Actor Critic, the two algorithms developed by Misha’s manager at DeepMind, Volodymyr Mnih, that defined reinforcement learning and deep reinforcement learning
19/11/2024

Clay’s Kareem Amin on Building the Sales ‘System of Action’ with AI

Clay is leveraging AI to help go-to-market teams unleash creativity and be more effective in their work, powering custom workflows for everything from targeted outreach to personalized landing pages. It’s one of the fastest growing AI-native applications, with over 4,500 customers and 100,000 users. Founder and CEO Kareem Amin describes Clay’s technology, and its approach to balancing imagination and automation in order to help its customers achieve new levels of go-to-market success. Hosted by: Alfred Lin, Sequoia Capital

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