Latest Interviews
Showing 1–15 of 269 transcripts.
Clear all filters- Y Combinator42 min
Garry Tan: The Future of AGI Is Personal
The speaker advocates for "Personal AGI," a system of user-owned agents that process vast personal context on private infrastructure to drastically increase output and preserve cognitive independence. Drawing parallels to Baruch Spinoza's rejection of institutional compromise, the talk details how "skill files" and hybrid architectures enable individuals to replace traditional workforces with scalable, compounding digital labor. This shift promises to democratize high-level execution by allowing founders to achieve unprecedented economic leverage while retaining full ownership of their generated knowledge and intellectual tools.
- Y Combinator36 min
The Case For Data Centers In Space
Philip Johnston, Mark Mandelmann
Founded by Philip Johnston in 2024 and backed by a $170 million Series A from Benchmark, StarCloud has emerged as YC's fastest-growing unicorn by pioneering orbital data centers to bypass terrestrial energy constraints. The company successfully launched its first satellite in November 2025, deploying custom-modified GPU hardware and thermal management systems to run AI models like Gemini while utilizing automotive-grade components to mitigate radiation risks. With plans to scale to 88,000 satellites by 2028 and deploy high-bandwidth compute for government and hyperscale customers, StarCloud aims to eventually generate terawatts of processing capacity through partnerships with SpaceX and NVIDIA.
- Y Combinator31 min
Patrick Collison: Is AI Breaking the Lean Startup Playbook?
Patrick Collison shares his journey from dropping out of college twice to launching Stripe, emphasizing the critical role of retaining "cognitive L1 cache" over reliance on AI tools for deep reasoning. He highlights that while new business formation on Stripe has doubled and AI is accelerating revenue milestones, entrepreneurs should remain wary of decentralization fears and instead focus on solving visceral customer problems like legacy payment friction. Collison concludes by advising founders to build fundamental knowledge of first principles and to assess whether their chosen venture is a cause they are willing to pursue for decades.
- Y Combinator32 min
Alexandr Wang: “This is a Once-in-a-Civilization Opportunity”
Alexander Wang discusses his journey from founding Scale AI to leading Meta's Frontier Lab, where he is developing the Muse Spark model to deliver frontier-level AI capabilities at a fraction of the cost. He argues that the immediate future of the industry will be defined by agentic looping and the orchestration of autonomous agents rather than raw model size, predicting a massive expansion in global GDP driven by these technologies. Wang concludes by advising founders to build independent convictions based on first principles while emphasizing that systematic thinking and vision are becoming the scarce resources in an era of abundant computational intelligence.
- Y Combinator39 min
Sam Altman: "Never a Better Time to Do a Startup"
Sam Altman, Paul Graham, Garry Tan
Sam Altman and Y Combinator highlight an exponential shift in startup capabilities where coding agents reduce development time to mere seconds while hard tech representation in the portfolio surges to 25%. The organization positions itself as a decentralizing force to prevent single-entity control of AI power, explicitly rejecting the "live action role play" mindset in favor of heretical, high-conviction building. Altman warns of safety risks regarding surveillance and model concentration but maintains that widespread founder agency and distributed innovation will ultimately prevent economic collapse or catastrophic safety incidents.
- Y Combinator36 min
Boris Cherny: We Cut 80% of Claude Code’s Prompt
The Opus 5 model release demonstrates a 30% score on the ARC AGI benchmark and unprecedented autonomous endurance by eliminating over 80% of legacy system prompts through an empirical ablation methodology. This shift enabled dynamic workflows where thousands of agents autonomously rewrote complex software stacks like the Bunn runtime and Cloud Code desktop app in mere days. Strategic advice for developers emphasizes replacing rigid prompt engineering with context design and verification protocols to leverage these emergent agentic capabilities effectively.
- Y Combinator29 min
What Big Tech Missed And How Startups Can Still Win
Alexandre LeBrun, Zuckerberg, Jan, Alex
Ami Labs is raising approximately one billion euros in seed funding to develop foundational world models that train on sensory data rather than text, addressing the limitations of current large language models for robotics applications. Co-founded by Alex K. and Yann LeCun following their shared history at Meta and various startups, the Paris-based company aims to build general-purpose robots capable of operating safely in open environments by solving the compute bottlenecks and latency issues inherent in existing vision-language-action architectures. While the venture tackles the high capital demands of securing thousands of GPUs and top-tier talent, it operates under a strict strategic constraint where failure to deliver visible progress within two years could render the company unsustainable due to the intense external expectations created by the massive funding round.
- Y Combinator20 min
Why Physical AI Is the Next Platform Shift
Anchored, founded by former quantitative trader Eric Landau, constructs the data layer for physical AI by managing petabytes of multimodal data to power robotics and autonomous systems. After pivoting from healthcare vision to broader industrial applications, the company established a production-ready facility in the Bay Area and refined its sales culture through iterative hiring challenges. With the post-ChatGPT market accelerating demand for specialized physical AI infrastructure, Anchored now leads a crowded sector by offering scalable data collection that moves clients from proof-of-concept to enterprise production.
- Y Combinator30 min
What Top AI Labs Are Really Doing With Observability
Founded by IBM veterans Olivier Pomel and Alexi Laurent, Datadog disrupted the monitoring industry by merging Dev and Ops into a single platform, overcoming initial Y Combinator rejections and regional venture capital biases to achieve a 2019 IPO. Under a leadership philosophy that prioritizes direct customer engagement over written values, the company has expanded its product suite to serve top AI firms while executing a radical shift where engineers will primarily automate code generation within two quarters. This strategic pivot aims to drastically increase development velocity and reorganize the company around smaller, high-autonomy teams, even as it navigates post-lockup valuation volatility and the rapid evolution of AI-driven observability.
- Y Combinator44 min
He Built the World's #1 Open-Source Coding Agent
Jay V, Gary Tan, Mark Mandelmann, Seth Vargoevic, Frank, Dax, Dylan Patel, Soyal, PG, Jay Poldinger
OpenCode, a sixteen-year-old platform founded by Jay Poldinger and Frank, has grown to 13 million monthly active users and processes 7 trillion daily tokens by serving as a neutral model harness that bypasses vendor lock-in. The company's strategy of supporting over 70 open-source models, which became critical after Anthropic restricted open usage, generated $160,000 in monthly subscription revenue and an estimated $33 million in inference revenue as of June. With significant adoption in China, Brazil, and the United States, OpenCode validates its product-market fit through enterprise organizations that proactively seek security agreements to integrate its agent loops into internal workflows.
- Y Combinator22 min
How Photoroom Trained Themselves To Dream Bigger
PhotoRoom, the largest Y Combinator company headquartered in Europe, leveraged a strategic pivot to e-commerce photography to achieve 300 million downloads and serve major clients like Amazon and Uber. Its founders attribute this exponential growth to a cultural shift fostered by YC, which replaced European risk aversion with a "failure-safe" mindset that treats a billion-dollar valuation as an attainable target. By enforcing English-only offices, prioritizing deep vertical focus, and utilizing aggressive resource constraints, the company instilled a mandatory ambition across its team to drive rapid scaling and execution speed.
- Y Combinator31 min
How Supabase Became One Of The Fastest Growing DevTool Companies In The World
Supabase founder Paul Copplestone recently secured a $500 million round at a valuation exceeding $10 billion, propelling the company to decacorn status with a 10 million developer base driven largely by AI agents launching 60-90% of new databases. The fully distributed organization leverages its open-source PostgreSQL strategy and a shift toward Infrastructure as Code to achieve exponential usage growth, reducing time-to-value from minutes to seconds while bypassing traditional marketing channels. Moving beyond standard user interfaces, Supabase is now building self-driving database capabilities and "Infrastructure for Platforms" to support enterprise labs managing millions of ephemeral instances autonomously.
- Y Combinator29 min
Why Ambitious Startup Ideas Are Actually Easier To Sell
PostHog is transitioning from an open-source analytics platform to an AI-driven service that autonomously fixes engineering issues and solves customer support tickets by generating production-ready pull requests. Co-founders James and Tim restructured their operations to align with this new "self-driving software" vision, delegating management duties to the latter so the former can focus exclusively on AI product architecture while the company doubles in size. This strategic pivot replaces traditional manual product management with a system where AI configures workflows and implements fixes based on deep user data, aiming to secure massive market valuation through "insane" ambition rather than conservative growth.
- Y Combinator31 min
YC's Head of Design Shows You How To Design With AI
Eve Bouffard, Aaron Epstein, Ev Bufar
Designer Ev Bufar utilizes a voice-first workflow with tools like Aqua, Conductor, and Paper.design to rapidly produce high-fidelity assets for diverse projects, including the Paxyl transcript analyzer and the Soda Zine. Her recent work at Startup School demonstrates an agent-driven production model that generated visual identities for 6,000 attendees through custom shaders and automated speaker assets, while Paxyl analyzes coding agent interactions to reveal developer patterns. By prioritizing massive context density and disposable internal models, Bufar accelerates the design iteration cycle to handle complex branding and interactive web experiences that explicitly cater to both human users and AI agents.
- Y Combinator32 min
Solving the Blank Canvas Problem: Gusto's AI Co-Founder
Launched in just ten weeks by a five-person team including co-founder Eddie Kim, Gusto Co-founder is a new AI product that transforms Gusto's payroll and HR data into proactive, agent-based automations for small businesses. The platform has already onboarded 500 paying customers by replacing traditional dashboards with text-based interfaces that execute complex workflows, such as full payroll processing, weather-based customer notifications, and tax credit application. This initiative validates a strategic pivot toward becoming a proactive business partner capable of lowering entry barriers for new entrepreneurs while automating compliance and growth opportunities through a "vibe coding" development methodology.