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Latest Interviews

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  1. Y Combinator48 min

    The Challenges a Repeat Founder Faces - Tikhon Bernstam

    Tikhon Bernstam, Craig Cannon

    Ticon Bernstam reflects on his journey from dropping out of a physics PhD to founding Scribd and the acquired mobile platform Parse, detailing how early Y Combinator guidance and a focus on backend infrastructure helped scale both ventures. Now an angel investor with a portfolio including Cruise and Reddit, Bernstam advocates for founders to prioritize large market dynamics and product-market fit over early fundraising or the pursuit of entirely new categories. He advises against the "zero to one" philosophy, suggesting instead that 10x improvements in crowded sectors combined with relentless execution offer the most viable path to success for both first-time and repeat entrepreneurs.

  2. Y Combinator49 min

    Artist Lauren McCarthy Will Be Your Home's Brain

    Lauren McCarthy, Craig Cannon

    UCLA assistant professor and artist Lauren McCarthy utilizes projects like the "Social Turkers" and the "Lauren" service to investigate human social systems, identity constraints, and the impact of technology on interpersonal interaction. Through initiatives such as the inclusive p5.js library and her recent work on manual home automation, she critically examines data privacy, surveillance, and the value of emotional labor within digital environments. McCarthy's practice blends satire with technical experimentation to challenge prevailing narratives of fear in media, ultimately encouraging diverse participation in creative coding and thoughtful engagement with automated systems.

  3. Y Combinator43 min

    Spotting Ecommerce Trends in Shipping Data - Laura Behrens Wu

    Laura Behrens Wu, Craig Cannon

    Founded by Laura in 2013 to bridge the technology gap in logistics, Shippo serves as a RESTful API platform aggregating shipping providers for e-commerce merchants from SMBs to enterprise marketplaces like eBay. The company mitigates complex regulatory risks and carrier inconsistencies while offering specialized insurance and tracking features to reduce cart abandonment and support niche product categories. With a global team of approximately 65 employees, Shippo advises B2B entrepreneurs to target inefficient infrastructure problems, having successfully scaled by positioning its "unsexy" shipping solution within the broader high-growth narrative of e-commerce.

  4. Y Combinator44 min

    The CEO Who Pays Employees to De-Locate From the Bay

    Wade Foster, Craig Cannon

    In March, Zapier launched a "delocation" program offering $10,000 to incentivize employees to leave the Bay Area, a move that attracted 30% more applicants but resulted in zero successful relocations while expanding the company's global reach. Concurrently, the 95-person all-remote organization is navigating its transition from internal promotions to hiring external management talent at the 100-employee mark, utilizing the "Manager Tools" framework and "Airbnb onboarding" to integrate new leaders. This strategic scaling supports the recent launch of a "Teams" product for enterprise clients, leveraging Zapier's extensive integration library and high retention rates to compete against well-funded rivals without relying on venture capital.

  5. Y Combinator30 min

    Baidu's AI Lab Director on Advancing Speech Recognition and Simulation

    Adam Coates, Craig Cannon

    Baidu's Silicon Valley AI Lab, under the direction of Adam Coates, is executing a strategic pivot from traditional search to comprehensive AI by deploying deep learning systems that solve real-world reliability gaps through bleeding-edge research. This initiative has yielded "superhuman" speech recognition models for Mandarin and prototypes like a voice-first keyboard that fundamentally alters user interaction for individuals with disabilities or heavy accents. Simultaneously, the organization is cultivating a new class of "full-stack machine learning engineers" capable of bridging the divide between theoretical breakthroughs and commercial products serving 100 million users.

  6. Y Combinator44 min

    Making Music and Art Through Machine Learning - Doug Eck of Magenta

    Doug Eck, Craig Cannon

    Google's Magenta project deploys open-source machine learning tools like NSynth and SketchRNN to assist human creators in generating novel music and art rather than replacing them. By leveraging deep learning architectures such as LSTMs and reinforcement learning, the team enables the interpolation of distinct sounds and the generation of complex long-form structures while emphasizing active user participation through creative coding. As the initiative expands its community via its open-source platform, it aims to refine evaluation methods and integrate with professional workflows to support a future where human artists adapt by focusing on unpredictable, emotionally raw expressions.

  7. Y Combinator2h 14m

    IPFS, CoinList, and the Filecoin ICO with Juan Benet and Dalton Caldwell

    Juan Benet, Dalton Caldwell, Craig Cannon, Dan Galpin, Francesc Campoy, Mark Mandelmann, Mark Blythouse, Mark Mandelbaum, Chris Broadfootnich

    Protocol Labs, founded by Juan Bonet, is developing the InterPlanetary File System and its incentivized Layer-2, Filecoin, to transition internet infrastructure from centralized, location-based models to a decentralized, content-addressed network that ensures data sovereignty and censorship resistance. By replacing traditional venture capital with token-based funding models like CoinList, the organization enables long-term open-source research while utilizing Proof of Replication to create a liquid global market for unused storage capacity. This initiative aims to solve systemic inefficiencies in credit assignment and data redundancy, positioning Filecoin as a competitor to major cloud providers while fostering a new economy where protocol contributors are compensated directly through native network value.

  8. Y Combinator53 min

    Ex Machina's Scientific Advisor - Murray Shanahan

    Murray Shanahan, Craig Cannon

    Academician Roger Penrose details the historical persistence of the frame problem in artificial intelligence, tracing his own career shift from symbolic logic to computational neuroscience and back to a proposed synthesis of symbolic concepts within modern deep learning. Drawing parallels with the evolution of chess and Go under AlphaGo, Penrose critiques current AI's data inefficiency and lack of semantic understanding while offering insights from his consultation on the film *Ex Machina* regarding the relationship between physical embodiment and consciousness. He concludes that while hardware capable of matching the human brain is imminent, achieving true Artificial General Intelligence still requires fundamental conceptual breakthroughs that transcend specialized algorithms or Asimov-style ethical constraints.

  9. Y Combinator34 min

    How Should Business Schools Prepare Students for Startups? – Jeff Bussgang and Michael Seibel

    Jeff Bussgang, Michael Seibel, Craig Cannon

    YC CEO Michael Seibel and HBS lecturer Jeff Busgang debate the persistent gaps between MBA education and startup execution, identifying technical deficits, lack of commitment, and excessive research as primary reasons for high rejection rates. While Business Schools like Harvard are adapting through physical integration with engineering departments and new joint degrees, the traditional curriculum often fails to instill the immediate traction and hands-on coding skills required by venture capitalists. Ultimately, Seibel advises non-technical founders outside top hubs to prioritize working at early-stage startups over pursuing an MBA, citing real-world experience as superior preparation for building transformational ventures.

  10. Y Combinator40 min

    At the Intersection of AI, Governments, and Google - Tim Hwang

    Tim Hwang, Craig Cannon

    Tim Wong, Google's Global Public Policy Lead for AI and Machine Learning, navigates the intersection of technical security challenges, privacy constraints, and societal impacts like job displacement. He highlights critical tensions between de-biasing data and protecting minority privacy while emphasizing that current adversarial vulnerabilities limit high-stakes automation adoption. To address these issues, Google promotes global policy experimentation and educational reforms that shift computer science toward example-based learning and domain-specific expertise.

  11. Y Combinator52 min

    Rick and Morty Writer: Ryan Ridley

    Ryan Ridley, Craig Cannon

    Creator Ryan Ridley, drawing on early exposure to comedy legends at his father's club and formal training within Chicago's digital video scene, helped pioneer the unique voice of *Rick and Morty* by blending dark sci-fi tropes with a collaborative, writer-driven approach that prioritized personal creative satisfaction over market trends. The show's development involved rigorous internal debates on lore and character design, such as the scale of Meeseeks or the logic of the Citadel of Ricks, while relying on universal human fears and specific genre subversions to distinguish its humor from predecessors like *Futurama*. Ultimately, Ridley's strategy of making content for a self-curated audience of one, combined with Justin Roiland's distinct vocal performance and Dan Harmon's vision, facilitated the series' global success and continues to influence Ridley's current work on high-status animated projects.

  12. Y Combinator55 min

    An AI Primer with Wojciech Zaremba

    Wojciech Zaremba, Craig Cannon

    OpenAI founder Wojciech Zaremba details the organization's mission to develop artificial general intelligence through robotics manipulation and deep reinforcement learning, while highlighting the significant hurdles in defining real-world rewards compared to digital game environments. He contrasts narrow, supervised learning successes in commercial applications with the theoretical complexities of general AI, noting that current deep learning architectures struggle to match human learning speeds without massive computational resources. Zaremba concludes by predicting that rapid automation will necessitate societal shifts like Universal Basic Income and recommends specific educational resources for those seeking to understand these emerging technologies.

  13. Y Combinator33 min

    The Technical Advisor for Silicon Valley on HBO: Ed McManus

    Ed McManus, Craig Cannon

    Former Yardsale founder Ed McManus served as a technical advisor for *Silicon Valley* Season 3, where he guided writers to ensure code accuracy and advocated for realistic infrastructure choices like AWS adoption. His consultancy enabled the production to craft a plausible "Middle Out" algorithm and navigate the "Anti-Entourage" narrative constraint of engineered failures while integrating viral audience interactions through active fictional GitHub profiles. Ultimately, McManus departed after the season to return to entrepreneurship, citing the show's bleak conclusion as a resonant parallel to his own post-exit experiences.

  14. Y Combinator42 min

    Hiring Engineers with Ammon Bartram

    Ammon Bartram, Craig Cannon

    Amon Bartram, co-founder of the engineering recruitment startup TripleByte, details a methodology that replaces generic interview formats with four distinct, data-driven assessments designed to eliminate noise and accurately match specific company needs with candidate skills. By analyzing over 2,000 interviews, his approach identifies how traditional whiteboarding and credential-focused screenings often fail to predict job success compared to practical coding, debugging, and system design tasks. The presentation concludes with actionable recommendations for reducing interviewer bias, such as standardizing evaluation criteria and avoiding hazing, while advising candidates to focus on breadth-first search fundamentals and high-volume practice to improve their hiring outcomes.

  15. Y Combinator28 min

    Office Hours with Kat Manalac

    Kat Manalac, Craig Cannon, Kat Mignolet

    Y Combinator partner Kat Mignolet outlines critical strategies for global incubators, emphasizing wealth reinvestment models and local mentorship recruitment while detailing the firm's new transparent recommendation system. She advises founders to prioritize deep validation with 100 users over broad adoption, formalize co-founder equity agreements immediately, and leverage warm introductions for press coverage. The discussion further clarifies YC's fixed $120,000-for-7% equity deal structure and encourages failed alumni to reapply as their evolution is often recognized by investors.