Latest Interviews
Showing 31–45 of 236 transcripts.
Clear all filters- Y Combinator43 min
The Startup Playbook for Hiring Your First Engineers and AEs
Founders guide early-stage companies through high-stakes talent acquisition by prioritizing direct, personalized outreach to engineers and sales leaders who balance high-risk startup equity against big-tech stability. The event outlines a rigorous hiring framework where founders personally "sell" the vision in the first interview, execute multi-step sourcing campaigns to achieve 40% reply rates, and leverage tools like Juicebox to automate candidate discovery. By maintaining a rapid seven-to-fourteen-day decision cycle and tailoring offers to individual motivators, organizations successfully convert top engineering and account executive talent who possess a founder mindset.
- Y Combinator39 min
From Idea to $650M Exit: Lessons in Building AI Startups
Case Text, led by a founder who pivoted the company to artificial intelligence in summer 2022, was acquired by Thomson Reuters for $650 million following the successful launch of its Co-Counsel legal assistant. The speaker outlines a methodology for building reliable AI applications by combining domain expertise with granular workflow decomposition, rigorous evaluation metrics, and iterative prompt engineering to achieve near-human accuracy. Key strategic insights for scaling include adopting value-based pricing, prioritizing side-by-side human-AI pilots to build trust, and viewing proprietary data integration and evaluation frameworks as the primary sources of long-term defensibility.
- Y Combinator41 min
Ask These Questions Before Starting An AI Startup
Founder and alignment researcher Sam Altman warns that the imminent arrival of AGI within two to three years forces startups to radically rethink hiring, product design, and long-term strategy beyond traditional focus models. He argues that enterprises will soon bypass external SaaS providers by building internal software with AI, while consumer markets may shift from static apps to on-demand, AI-generated solutions that require new trust mechanisms like automated auditing. Ultimately, Altman urges founders to prioritize solving hard infrastructure problems and societal impact over immediate monetization, as the window to build defensible moats against commoditization and centralized control narrows rapidly.
- Y Combinator42 min
The Future of Software Creation with Replit CEO Amjad Masad
Amjad Masad, Chinat, Shivam, Sophia, Emma
Replit outlines a strategic pivot toward making software engineering obsolete by developing autonomous agents that operate within a robust, sandboxed cloud infrastructure capable of end-to-end testing and self-healing. This transition aims to shift software value from expensive SaaS applications to near-zero-cost, prompt-driven creation, enabling individuals to act as sovereign entities that assemble teams and deploy full-stack solutions instantly. By achieving near-full autonomy in the next agent generation, the platform intends to dismantle traditional corporate hierarchies in favor of on-demand, mission-based networks where human creativity complements agent-driven execution.
- Y Combinator28 min
Michael Truell: Building Cursor At 23, Taking On GitHub Copilot & Advice To Engineering Students
Founded by MIT graduates led by Michael Truel, Cursor pivoted from failed ventures in CAD and encrypted messaging to launch a custom AI-driven code editor in late 2022 with an aggressive vision to automate the future of software development. Leveraging a strategic shift to API-based models and a product-led growth approach, the team scaled rapidly from one million users in 2023 to over 100 million in 2024, capturing approximately 80% of YC batches. This rapid adoption was driven by features emphasizing codebase awareness and speed, reinforcing the founders' long-term outlook that AI will transform the industry into a collaborative ecosystem where programming fundamentals remain critical for reviewing and editing AI-generated logic.
- Y Combinator45 min
How This 25-Year-Old Built A $675M Legal AI Startup (With No Legal Experience)
Gustaf Alströmer, Max Junestrand, Mark Mandelmann, Martin Splitt
Founded in 2024 by Max Giunestrand, Legora is an AI-powered workspace for legal professionals that recently secured an $80 million Series B funding round led by Iconic and General Catalyst. The company differentiates itself through a "software + service" hybrid model and a data-centric architecture that ensures GDPR compliance by hosting all European client data within the EU. With a flat organizational structure that scaled from ten to 100 employees in less than a year, Legora is aggressively expanding its operations to hubs in New York, London, and Stockholm to support law firms in navigating the AI transition.
- Y Combinator41 min
Dylan Field: Scaling Figma and the Future of Design
Dylan Field, Evan, Charlie Fearborn, Michael
Figma, led by co-founders Dylan Field and Evan Mock, recently doubled its product ecosystem at its Config event by launching four new tools including Figma Make, which enables prompt-to-app generation to accelerate prototyping. Field emphasizes that as AI commoditizes software development, high-quality design will become the primary competitive differentiator, a shift reflected in Figma's strategy to integrate designers directly into AI research and development teams. The company continues to pivot from its origins as a browser-based design tool to a broader platform supporting seamless design-to-code workflows through acquisitions like Payload CMS and integrations with developer environments.
- Y Combinator41 min
Scaling and the Road to Human-Level AI | Anthropic Co-founder Jared Kaplan
This event details how precise scaling laws governing pre-training and reinforcement learning enable predictable AI progress, with task horizons doubling every seven months to support long-term autonomous work. It highlights the launch of Claude 4, which introduces persistent memory and refined coding agents to facilitate complex, multi-day tasks while advocating for a strategic focus on "70% right" applications and greenfield domains like law and finance. The discussion concludes with a roadmap for shifting human-AI collaboration from supervisory oversight to full automation, driven by the expectation that incremental self-correction and hybrid training data will exponentially extend AI capabilities.
- Y Combinator27 min
Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery
Google DeepMind leader John Jumper presents AlphaFold 2, an AI system that revolutionizes structural biology by accurately predicting protein 3D structures to bridge the massive gap between sequenced genes and experimentally solved forms. The technology's superior accuracy, validated by a thirty-fold reduction in error rates at CASP14 and the release of over 200 million predictions, has accelerated drug discovery and enabled novel applications like re-engineered molecular syringes for targeted therapy. This shift allows experimentalists to advance the pace of biological research by 5 to 10 percent, transforming AI from a narrow computational tool into a fundamental amplifier for scientific discovery.
- Y Combinator39 min
How to Spend Your 20s in the AI Era
The event critically examines how AI is collapsing traditional computer science career safety nets and redefining startup economics by shifting capital formation toward direct revenue generation rather than external validation. It argues that competitive advantage now relies on "forward-deployed engineering" and niche domain expertise, urging founders to build value through tangible utility rather than brand narratives or simulated success. Furthermore, the discussion outlines a preparation framework for entrepreneurs emphasizing frugality, co-founder synchronization, and the strategic use of proprietary data to secure moats in specialized markets before the potential obsolescence of human labor renders current wealth accumulation obsolete.
- Y Combinator35 min
François Chollet: How We Get To AGI
Recent analysis of the Abstraction Reasoning Corpus series reveals that while standard pre-training scaling fails at fluid intelligence, Test-Time Adaptation enables models to dynamically solve novel problems, though current systems still lag significantly behind human performance on the 2025 ARC-2 benchmark. To bridge this gap, the field is adopting the Kaleidoscope Hypothesis, which posits that future architectures must integrate continuous intuition with discrete programmatic reasoning to achieve true compositional generalization. This shift drives the development of endia-like meta-learners capable of synthesizing custom code and maintaining a dynamic library of abstractions, with the explicit goal of accelerating independent scientific discovery by early 2026.
- Y Combinator44 min
Fei-Fei Li: Spatial Intelligence is the Next Frontier in AI
Fei-Fei Li, Diana, Alex, Karl, Yashna, Annie
Dr. Fei-Fei Li, founder and CEO of World Labs, leads a team of renowned technologists to develop spatial intelligence and 3D "world models" as the essential pathway to achieving Artificial General Intelligence. The venture addresses the unique mathematical and physical complexities of reconstructing and generating the three-dimensional world, distinguishing its approach from current language-centric large language models. By combining rigorous data quality standards with a focus on fundamental, interdisciplinary research, the company aims to power next-generation applications ranging from the metaverse to advanced scientific discovery.
- Y Combinator41 min
Satya Nadella: Microsoft's AI Bets, Hyperscaling, Quantum Computing Breakthroughs
Satya Nadella frames the current era as a fourth platform shift driven by AI, cloud infrastructure, and supercomputers, predicting a transition where software engineers evolve into architects managing autonomous agents. He identifies change management as the primary deployment barrier and outlines a strategy where Microsoft utilizes forward deployment engineers to help organizations restructure workflows for "over-constrained" problems in sectors like healthcare and education. Looking ahead, Nadella emphasizes that future growth depends on resolving energy constraints, establishing trust, and developing first-class systems for memory and tool use to maximize social surplus.
- Y Combinator43 min
Sam Altman: The Future of OpenAI, ChatGPT's Origins, and Building AI Hardware
OpenAI CEO Sam Altman projects that superintelligence will arrive within two decades while declaring the current era the optimal moment to launch companies due to the convergence of reasoning models, falling costs, and new hardware. He outlines a strategy where OpenAI serves as a platform for third-party innovation rather than building all applications, emphasizing the imminent release of powerful open-source models and the integration of AI into robotics and energy infrastructure. Altman further advises founders to prioritize velocity and unique concepts over established pedigrees, warning that the path to success requires immense resilience against skepticism while pursuing radical technological abundance.
- Y Combinator40 min
Andrej Karpathy: Software Is Changing (Again)
The presentation outlines the evolution of software from human-written code to neural network weights and finally to natural language prompts, establishing Large Language Models as a new operating system layer. It details the current infrastructure challenges, cognitive limitations such as hallucination and memory loss, and the strategic shift toward "partial autonomy" systems that maintain human oversight through granular verification loops. Ultimately, the industry faces a transitional decade requiring developers to rewrite existing codebases for agent interaction while managing new risks associated with centralized intelligence infrastructure.