Latest Interviews
Showing 16–30 of 224 transcripts.
Clear all filters- Y Combinator13 min
How to Build a Self-Improving Company with AI
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.
- 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.
- Y Combinator32 min
Harshil Mathur: AI Is Compressing Every Moat
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.
- Y Combinator41 min
Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough
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.
- Y Combinator8 min
The New Way To Build A Startup
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.
- 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
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.