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  1. 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.

  2. Y Combinator24 min

    Why Two IIT Engineers Turned Down $550K Jobs To Build A Startup

    Varun Vummadi, Ankit Gupta

    GigaML, a Y Combinator-backed startup founded by IIT Kharagpur alumnus Varun and his Stanford-educated co-founder, has pivoted from EdTech to developing AI agents that achieve 60% to 70% support deflection rates for major clients like DoDash and DoorDash. The company addresses the enterprise bottleneck of manual configuration by launching "AI forward deployed engineers" that automatically iterate policies to improve business metrics, a strategy enabled by their "0.1% talent" recruitment philosophy and heavy reliance on human-coded expertise rather than sales teams. By leveraging the YC trust network to secure early contracts with eight-person operations, GigaML aims to unlock broader enterprise AI adoption through a generic automation layer that eliminates the need for extensive human engineering resources.

  3. Y Combinator50 min

    How The Best Companies Defend Against Mediocrity And Rot

    Garry, Eric Ries

    Eric Ries exposes how the 1980s doctrine of shareholder primacy systematically undermines long-term company value, citing cases like Jeff Lawson's ouster at Twilio and Saul Price's departure from FedMart as evidence that founder control is often lost to short-term investor demands. To counter this instability, the event advocates for structural reforms such as the industrial foundation model, which legally prioritizes mission over profit, as demonstrated by the sustained success of entities like Novo Nordisk and the mission-preserving safeguards of Anthropic. The presentation concludes by urging founders to immediately adopt Public Benefit Corporation status and design "governance fortresses" to insulate their organizations from the inherent conflicts of standard corporate governance.

  4. 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.

  5. 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.

  6. 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.

  7. Y Combinator39 min

    Replit's CEO On The Only Two Jobs Left In The Company Of The Future

    Amjad Masad, Andrew Miklas

    Replit recently secured $400 million in Series D funding to achieve a $9 billion valuation while executing a strategic pivot toward "AI-native developers" who build software through natural language interactions with their Agent 4 system. By abstracting traditional coding behind multimodal AI agents, the platform enables non-engineers to rapidly deploy applications and reduce development costs by up to 70%, effectively shifting the company's focus from technical setup to high-level business orchestration. This product-led growth model empowers a diverse range of users, from solo entrepreneurs to enterprise teams, to accelerate idea velocity and build internal tools without requiring deep programming expertise or large engineering budgets.

  8. Y Combinator10 min

    How To Build A Company With AI From The Ground Up

    Diana Hu

    This presentation argues that AI must function as a company's central operating system rather than a peripheral tool, driving a shift toward closed-loop systems that render the entire organization queryable for automated decision-making. In this model, traditional middle-management hierarchies are eliminated and replaced by AI agents that execute engineering tasks and manage workflows, allowing human leaders to focus on strategy as founders, builders, or directly responsible individuals. By leveraging these "AI software factories," startups gain a decisive advantage over incumbents to achieve tenfold velocity increases and operate with human headcount replaced by optimized token usage.

  9. Y Combinator44 min

    How Stripe Built Their New Website

    Aaron Epstein, Katie Dill

    Over a year in the making, Stripe's comprehensive homepage redesign repositioned the company as a global financial infrastructure leader by replacing visual fatigue with a dynamic bento-grid layout and a manifesto-style narrative. The project leveraged AI tools to accelerate asset creation while maintaining rigorous human oversight to ensure the "billionth" transaction scale and live economic metrics conveyed trust to diverse user segments. By prioritizing progressive disclosure and intentional motion over traditional scrolling, the team successfully clarified value propositions ranging from micro-entrepreneurs to the 78% of Forbes AI 50 companies that now rely on the platform.

  10. Y Combinator21 min

    BillionToOne Is Solving One of Biotech’s Hardest Problems

    Jared Friedman, David Tsao, Oguzhan Atay

    Billion to One, founded by PhD students Oguzhan and David, leverages proprietary synthetic DNA methods to detect rare cell-free DNA variations for prenatal screening and cancer liquid biopsies. Since its public listing with a valuation over $4 billion, the company has scaled its automated facility to process 600,000 tests annually and launched North Star Select for late-stage cancer treatment guidance. The firm now executes a strategic roadmap to address early-stage cancers through a capital-efficient progression from commercial adoption to population-wide screening, aiming to significantly reduce cancer mortality rates.

  11. Y Combinator31 min

    This Startup Catches Fraud at Scale

    Jared Friedman, Karine Mellata

    Variance has officially exited stealth mode following a $21 million Series A round to commercialize AI agents that automate trust and safety infrastructure for Fortune 500 clients like GoFundMe and IAC. Founded by ex-Apple engineers Karine and Michael, the 12-person team leverages a unique "agentic" architecture to solve complex unstructured data problems in fraud detection and compliance without manual rule updates. Despite a 2024 leadership injury that threatened operations, the company is scaling its full-stack decisioning platform to replace traditional human review workflows with adaptive, self-healing systems designed to trace sophisticated abuse graphs.

  12. Y Combinator40 min

    AI Is Unlocking Millions Of New Builders

    Mukund, Madhav Jha

    Led by twins Mukund and Madhav Jar, Emergent is a YC Summer 2024-funded platform that empowers non-technical users to generate production-ready software through AI agents, having already built seven million apps across 190 countries. The company differentiates itself by utilizing a custom Kubernetes infrastructure and multi-agent architecture to solve the "it works on my machine" problem, while its core team achieved top-tier status on the SWE-bench benchmark within two months. By pivoting from automated testing to full-stack application development, Emergent has democratized software creation, allowing solopreneurs to launch functional products for thousands of dollars instead of the traditional half-million-dollar cost.

  13. Y Combinator53 min

    The Future Of Brain-Computer Interfaces

    Max Hodak, Garry

    Science co-founder Max Hodak outlines a biotechnology roadmap centered on the Prima retinal implant, which has already restored form vision to over 40 patients with macular degeneration, and predicts an imminent "takeoff era" that could enable the first 1,000-year lifespans. Beyond vision restoration, his company is developing bio-hybrid neural interfaces that integrate stem-cell-derived neurons into the brain and portable "Vessel" perfusion systems to revolutionize organ preservation and treat severe disabilities like glaucoma. These initiatives aim to shift healthcare from slow drug discovery to precise neural engineering, potentially achieving high-bandwidth human-AI integration within the next two decades.

  14. Y Combinator20 min

    The Powerful Alternative To Fine-Tuning

    Ian Fischer, Mark Mandelbaum, Francesc Campoy Flores, Mark Mandelmann, Jr.

    Poetic, led by co-CEO Ian Fisher, deploys a recursive Meta-System that autonomously optimizes foundation models to outperform them on benchmarks like Arc AGI v2 and the Humanity's Last Exam at a fraction of the cost. This stealth-stage platform functions as a cost-effective "stilts" for startups, achieving 9 percentage point gains over competing models while utilizing a lean team of seven scientists rather than massive training budgets. The company now invites early access from ventures seeking to integrate these self-improving reasoning strategies into their specific verticals.

  15. Y Combinator23 min

    OpenClaw Creator: Why 80% Of Apps Will Disappear

    Raphael Schaad, Peter Steinberger

    Launched in 2025, the open-source OpenClaw project has rapidly accumulated over 160,000 GitHub stars by introducing a local-executing personal AI agent capable of autonomously controlling hardware and synthesizing private data. Creator of the "swarm intelligence" philosophy, the project distinguishes itself through a unique security architecture that isolates user memory in local markdown files and employs a proprietary `soul.md` file to maintain core personality traits against external manipulation. As the technology evolves toward multi-agent negotiations and the obsolescence of traditional applications, OpenClaw positions itself as a value-retention model where specialized bots manage distinct domains while the primary asset remains the user's locally stored data memory.