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Latest Interviews

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  1. Y Combinator32 min

    Alexandr Wang: “This is a Once-in-a-Civilization Opportunity”

    Alexandr Wang, Garry Tan

    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.

  2. Y Combinator50 min

    Blake Scholl: How 50 People Built a Supersonic Jet

    Blake Scholl

    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.

  3. 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.

  4. Y Combinator36 min

    Boris Cherny: We Cut 80% of Claude Code’s Prompt

    Boris Cherny, Diana Hu

    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.

  5. Y Combinator22 min

    How Photoroom Trained Themselves To Dream Bigger

    Gary Tan, Elliot

    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.

  6. 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.

  7. Y Combinator30 min

    Groww: If Your Customers Don't Love It or Hate It, You've Already Lost

    Lalit Keshre, Jon Xu

    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.

  8. Y Combinator30 min

    How Meesho Became India’s Biggest Shopping App

    Vidit Aatrey, Ankit Gupta

    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.

  9. Y Combinator29 min

    Emergent: How Six Months of Tinkering Led To A $100M ARR Company

    Mukund Jha, Jared Friedman

    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.

  10. 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.

  11. Y Combinator13 min

    How to Build a Self-Improving Company with AI

    Tom Blomfield

    The event argues for replacing traditional hierarchical management with recursive AI architectures where organizations function as self-improving loops composed of sensor, policy, and learning layers. It demonstrates this shift through a YC case study where autonomous agents analyzed failures and updated code overnight, enabling companies to transition from headcount-constrained models to token-limited systems. By mandating universal data recording and treating internal software as ephemeral, the presentation defines humans as peripheral "edge interfaces" while AI assumes the role of the central "company brain" for decision-making and execution.

  12. Y Combinator29 min

    Zepto: How Two 17-Year-Olds Built India's Largest Seller Of Fruits and Vegetables

    Aadit Palicha, Jared Friedman, Keval

    Founded in 2020 by college dropouts Adit Ayyal and Keval Karia, Zepto revolutionized India's grocery sector by pivoting from a WhatsApp-based service to a proprietary 10-minute dark store delivery model. Operating as a massive logistics and supply chain network, the company now manages over 200,000 jobs and delivers tens of millions of monthly orders while leveraging AI to optimize forecasting and advertising revenue. With current expansion plans targeting India's top 50 cities, Zepto aims to replicate the scale of major global retailers like Walmart and cultivate a domestic consumer goods ecosystem.

  13. Y Combinator32 min

    Harshil Mathur: AI Is Compressing Every Moat

    Harshil Mathur, Jon Xu

    Founded by Harshil Mathur in 2015, Razorpay became the first Indian Y Combinator company to pivot from a failed educational focus to a payment infrastructure provider for startups after navigating a twelve-month regulatory gestation period. The firm secured a competitive moat by rejecting early global acquisition offers and becoming the first gateway to support UPI, subsequently processing over $180 billion in gross merchandise value while maintaining capital efficiency that inadvertently generated profits. Today, Mathur continues to lead the company through a strategic reinvention using AI, emphasizing that founder-led conviction in long-term problem-solving remains essential despite advancements in software development speed.

  14. Y Combinator41 min

    Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough

    Demis Hassabis, Garry Tan

    DeepMind CEO Demis Hassabis projects Artificial General Intelligence will emerge around 2030, contingent on inventing specific architectural breakthroughs in continual learning and structured memory rather than merely scaling current methods. While deep tech startups are warned to anticipate AGI disrupting their decade-long cycles, the organization is simultaneously deploying efficient, modular "Flash" and open-source nano models to power edge devices and accelerate scientific discovery in fields like drug design and materials science. Ultimately, DeepMind advocates for interdisciplinary collaboration between AI and physical sciences to overcome current reasoning limitations and drive the next generation of autonomous agents.

  15. Y Combinator8 min

    The New Way To Build A Startup

    Garry

    Companies such as GigaML, Legion Health, and PhaseShift are redefining operational scale by automating all internal workflows—from code integration to clinical operations—rather than merely augmenting isolated functions. This "20X company" model enables lean teams of just a few employees to service Fortune 500 clients and achieve fourfold revenue growth while maintaining flat headcounts that would traditionally require hundreds of staff. By treating internal processes as the primary product, these organizations achieve AGI-level productivity, allowing them to compete directly with massive incumbents without the corresponding payroll burdens.