Latest Interviews
Showing 61–75 of 350 interview transcripts.
Clear all filters- 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 Combinator36 min
Anthropic Co-founder: Building Claude Code, Lessons From GPT-3 & LLM System Design
Tom Brown, Melanie Warrick, Mark Mandelbaum, Mark Mirchandani, Brian Dorsey, Priyanka Vergadia, Priyan Kavanagh, Leslie Kendrick, Francesc Campoy
Vivek Mirchandani, a founding engineer at OpenAI and Anthropic, pioneered the scaling laws strategy that established the link between compute investment and model intelligence before co-founding Anthropic to prioritize AI safety and alignment. Under his leadership, Anthropic shifted focus from early consumer prototypes to building robust training infrastructure, ultimately delivering the coding-dominant Claude 3.5 Sonnet model while navigating global bottlenecks in electricity and multi-vendor hardware supply chains. The organization's approach combines internal qualitative benchmarking with a multi-vendor hardware strategy to drive the largest infrastructure buildout in history, positioning the company at the center of the coming wave of AGI development.
- 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 Combinator46 min
The Finance Startup Bringing Agentic AI to Wall Street
Arnie Englander, Gustaf Alstromer, Chas Englander
Model ML, founded by siblings Arne and Chas, has transitioned its financial services agentic AI platform from a testing phase to rapid deployment, securing contracts with approximately 10% of the world's largest investment institutions. By replicating human cognitive access within familiar interfaces like Excel, the system automates complex data extraction and document creation for C-suite executives, shifting purchasing cycles from decade-long software licenses to annual multi-year agreements. With a global engineering presence and a strategy prioritizing high-trust in-person demos, the founders leverage their previous exits from Fat Llama and Fancy to drive a market where autonomous tasks increasingly replace traditional user interfaces.
- Y Combinator44 min
Brand Design Tips From Linear Founder Karri Saarinen
Kari Saarinen outlines how early-stage startups should align their brand authenticity with their development stage, advising against mimicking mature companies like Stripe or Linear before product readiness. She critiques five specific landing pages for issues such as distracting visuals, vague messaging, and poor audience segmentation, recommending targeted copy and clearer calls to action to improve conversion. The analysis emphasizes that website design must evolve from abstract mystery for waitlists to detailed utility for enterprise sales, ensuring every visual element serves a functional purpose rather than adding noise.
- Y Combinator36 min
How Replit Went From $10M to $100M ARR In Just 9 Months
Replit has strategically pivoted to an AI-driven mission centered on its autonomous Replit Agent, a move supported by a dedicated infrastructure of NixOS and parallel agent sampling that achieved 45% monthly growth following a targeted workforce reduction. CEO Amjad Massad describes this transition as lowering barriers to software creation, enabling product managers and designers to deploy applications directly and shifting the primary bottleneck from engineering capacity to the volume of human ideas. As the technology matures beyond model coherence into complex computer use, the company anticipates a future where generalist knowledge and idea generation replace traditional coding syntax as the critical skills for creators.
- Y Combinator43 min
Aravind Srinivas: Perplexity's Race to Build Agentic Search
Aravind Srinivas, Sami, Akshat, Ravin, Angela
Perplexity AI founder Aravind Srinivasan addresses the company's rapid infrastructure strain and recurring competitive skepticism while detailing the strategic development of "Comet," an AI-powered browser designed to function as a cognitive operating system for complex agentic tasks. Differentiating itself from incumbent tech giants bound by ad-revenue models, the 200-person team leverages AI-driven engineering workflows to iterate quickly, aiming to capture direct transaction revenue through subscriptions rather than competing on traditional search advertising. Srinivasan projects a future where Perplexity maintains market relevance by prioritizing speed and human oversight in distributed systems against inevitable large-scale replication attempts from major competitors.
- 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 Combinator36 min
Legendary Consumer VC Predicts The Future Of AI Products
The event analyzes the rapid consumer adoption of conversational AI as a platform shift driving a transition toward emotional operating systems that prioritize long-term user relationships over mere utility. Industry leaders and investors highlight critical strategies for navigating this landscape, including the necessity of product-led growth, the emergence of voice interfaces, and emerging investment opportunities in proactive health, wellness, and personal security sectors. Ultimately, the discussion outlines a future where successful startups leverage generative AI's continuous learning capabilities to build specialized, category-defining experiences rather than relying on generic chat interfaces.
- 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 Combinator1h 1m
Alexandr Wang: Building Scale AI, Transforming Work With Agents & Competing With China
Meta has committed to investing over $14 billion in Scale AI, valuing the company at $29 billion while appointing Alexander Wang to lead its new AI superintelligence lab. Under Wang's direction, Scale is pivoting from its origins in data labeling to building agentic workflows for enterprise and government sectors, leveraging proprietary data and specialized fine-tuned models to differentiate in a fragmented market. The partnership aims to accelerate scientific breakthroughs and develop military applications like the Thunderforge system, positioning the company to manage a future economy where human operators oversee swarms of autonomous AI agents.
- Y Combinator37 min
Cursor CEO: Going Beyond Code, Superintelligent AI Agents, And Why Taste Still Matters
Michael Truell, Garry, Mark Mandelbaum, Chris Banes, Francesc Campoy Flores, Brian Dorsey Kiselman
AnySphere, the creator of the Cursor IDE, achieved a $9 billion valuation and $100 million in ARR within 20 months by processing over half a billion daily AI model calls and automating roughly half of current code production. Founder Michael Trull outlines a strategic shift from productivity aids to autonomous agents that allow non-developers to define software logic while addressing technical hurdles like context window limits and the need for continuous organizational learning. The company's long-term vision aims to transform software engineering into a paradigm where humans act as logic designers and the distribution feedback loop serves as the primary competitive moat against traditional coding methods.
- Y Combinator31 min
State-Of-The-Art Prompting For AI Agents
Industry leaders are advancing LLM agents beyond 1995-era prompting by establishing layered architectures that separate system logic from customer-specific context, utilizing meta-prompting techniques to dynamically refine instructions. Founders are simultaneously securing competitive moats by physically embedding with domain experts to generate high-quality evaluation datasets that translate deep operational knowledge into proprietary assets. This "forward-deployed" model, combined with specialized debug tools and distinct model behavioral archetypes, enables rapid scaling of seven-figure enterprise deals through continuous, data-driven prompt optimization.