Latest Interviews
Showing 1–15 of 224 transcripts.
Clear all filters- Y Combinator56 min
How To Design In The Agent Era
Led by Stephen Haney, Paper is an AI-native design platform currently ranking as the third most-used tool behind Figma and Sketch, utilizing a native HTML and CSS rendering engine to facilitate precise agent collaboration. The application distinguishes itself by treating code as the single source of truth, offering features like direct React component handoff and an MCP server that allows autonomous agents to manipulate local repositories and design canvases. While the team prioritizes human curation to maintain design quality against common AI aesthetic pitfalls, the platform is rapidly evolving into a visual coordination layer for the broader agent ecosystem by integrating tools like Paper Shaders and multi-model image generation.
- 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 Combinator49 min
Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Work
Waymo has advanced its fully autonomous fleet to operate 500 weekly trips across 15 U.S. cities, achieving a safety record 17 times better than human drivers through a multimodal sensor architecture and a foundation model utilizing both fast geometric reactions and slow semantic reasoning. The company addresses the unique challenges of physical AI by integrating real-world data into a generative simulation ecosystem that creates rare edge cases for training, while its "Safety and Readiness Framework" rigorously validates performance to ensure public trust and regulatory compliance. Looking ahead, this structural augmentation and flywheel of agent, simulator, and critic data positions Waymo to expand its technology beyond personal vehicles into trucking and broader physical applications.
- 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 Combinator1h 16m
Kernels and Chips: Cursor, NVIDIA, and Meta Researchers on GPU Performance | YC Paper Club
Stuart Sul, John, Francois Chaubard, Jon Saad-Falcon, Mark Saroufim, Misha Smelyanskiy, Brennan Shacklett
The event synthesizes critical industry shifts toward specialized ASICs and disaggregated architectures that separate training and inference workloads to maximize intelligence per watt. Technical deep dives highlight breakthroughs in multi-GPU kernel optimization and local inference, demonstrating that consumer accelerators can now deliver nearly 90% of frontier model utility while reducing energy costs by 70%. These innovations collectively address systemic bottlenecks in network communication and latency, establishing a roadmap for distributed, cost-efficient AI ecosystems that minimize reliance on centralized cloud resources.
- 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 Combinator50 min
Blake Scholl: How 50 People Built a Supersonic Jet
Founded by Blake Scholl in 2014, Boom Supersonic successfully developed the XB-1, the first privately built jet to break the sound barrier, using a lean team and software-driven engineering to overcome decades of aviation stagnation. This historic flight directly catalyzed a shift in US federal policy, prompting an Executive Order that legalized supersonic flight over land and clearing the path for the upcoming Overture airliner. By vertically integrating manufacturing and creating revenue through ground-based engines, the company aims to double global travel speeds while eliminating the traditional sonic boom barrier.
- 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 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 Combinator32 min
India Can Create The Largest AI Companies
Puneet, Arnav, John, Ankit, Jared
The event redefined the global startup paradigm by highlighting how India's deep technical talent enables founders to bypass traditional barriers and build meritocratic AI companies for the international market immediately. Speakers emphasized that success now hinges on founder agency, rapid learning, and the ability to leverage coding agents for extreme execution speed rather than on warm connections or established business models. To catalyze this shift, the program provided attendees with AI computing credits and facilitated co-founder networking to launch high-agency ventures within days.
- Y Combinator30 min
Groww: If Your Customers Don't Love It or Hate It, You've Already Lost
Grow successfully pivoted from a failed robo-advisor hypothesis to an open investment platform in May 2017, achieving rapid product-market fit by offering zero-commission mutual funds and a frictionless user experience. Guided by a strict "design first" philosophy and a four-founder team aligned on immutable values, the company built a massive customer base through word-of-mouth rather than paid acquisition. Now India's largest publicly traded investment platform, Grow is currently expanding into sophisticated wealth management while leveraging AI tools to maintain its operational efficiency and deep customer connection.
- Y Combinator30 min
How Meesho Became India’s Biggest Shopping App
Founders Vidit Aatja and Sanjeev Bikhchandani established Meesho in 2016 to connect rural Indian sellers with consumers, eventually pivoting from a WhatsApp-based social commerce model to a direct-to-consumer app after Jio's data cost reduction enabled mobile app adoption. This bold 2021 strategic shift, which terminated the platform's core business to launch a native application, secured Meesho's dominance in the Indian market by capturing over 50% of the country's online commerce volume by 2026. Today, the company serves 250 million unique consumers and is deploying its proprietary "Vani" voice AI agent to further democratize e-commerce for rural users with low digital literacy.
- Y Combinator29 min
Emergent: How Six Months of Tinkering Led To A $100M ARR Company
Emergent is an AI-driven platform founded by Dunzo alumni Mukund and Madhav that enables non-programmers to build and monetize functional software through natural language interaction. Operating with a 95% Bangalore-based engineering team, the company has scaled to an $100 million annual recurring revenue run rate and serves over 8.5 million users by leveraging a proprietary multi-agent architecture that ranks first on industry coding benchmarks. The platform distinguishes itself by focusing on end-to-end software execution rather than prototypes, having shipped over 10 million applications globally within its first nine months of operation.
- Y Combinator23 min
How Legora Went From YC to $100M ARR in 18 Months
Max Junestrand, Gustaf Alströmer
Following its acceptance into the YC Winter 2024 cohort, a ten-person founding team of former consultants and engineers rapidly scaled their legal technology platform to nearly 500 employees and over $100 million in annual recurring revenue. The company distinguished itself in a crowded market through a high-profile campaign featuring Jude Law and by pivoting from task-based augmentation to autonomous agents capable of executing complex end-to-end legal workflows. As the business prepares to expand beyond its legal identity, it leverages proprietary data and specialized workflow integrations to maintain a competitive moat against generalist model providers while addressing the evaluation challenges inherent in complex legal contexts.