Latest Interviews
Showing 1–13 of 13 interview transcripts.
Clear all filters- Y Combinator44 min
How Amplitude Went From Skeptics to “All In” on AI
Amplitude initiated a strategic pivot to AI-native development in late 2024 following the acquisition of Command AI and the hiring of Wade Chambers, aiming to replace traditional SaaS workflows with a "technology-first" product philosophy. The company has already launched AI feedback and visibility tools while preparing a global chat interface for January 2025 that Spencer Skates predicts will reinvent the analytics industry by becoming a "Cursor for Analytics." This transformation involved restructuring leadership to prioritize AI-native thinking and retaining key talent through a commitment to fund future ventures, positioning Amplitude to capitalize on legacy competitors' slowness in the emerging market.
- Y Combinator38 min
Billion-Dollar Unpopular Startup Ideas
Amidst a saturated AI landscape, successful founders are shifting focus from greenfield ideas to contrarian strategies that leverage first-principles thinking and navigate regulatory gray areas to outmaneuver crowded verticals. This approach is exemplified by companies like GigaML, Campfire, and Flock Safety, which defy conventional venture capital metrics by replacing human-intensive services with autonomous AI agents, building full-stack enterprise suites, and pivoting hardware models toward high-impact public safety markets. Ultimately, achieving outlier success requires ignoring market noise and consensus to solve non-obvious human needs, a methodology that has historically turned skeptically received concepts into billion-dollar valuations.
- Y Combinator31 min
State-Of-The-Art Prompting For AI Agents
Industry leaders are advancing LLM agents beyond 1995-era prompting by establishing layered architectures that separate system logic from customer-specific context, utilizing meta-prompting techniques to dynamically refine instructions. Founders are simultaneously securing competitive moats by physically embedding with domain experts to generate high-quality evaluation datasets that translate deep operational knowledge into proprietary assets. This "forward-deployed" model, combined with specialized debug tools and distinct model behavioral archetypes, enables rapid scaling of seven-figure enterprise deals through continuous, data-driven prompt optimization.
- Y Combinator43 min
How Top 1% Founders Navigate Co-founder Conflict
Harj, Patrick Collison, Garry, Gary, Jared Harge, Diana
Founders often face severe psychological strain and destructive co-founder dynamics, such as self-abandonment and cultural clashes, which experts argue require shifting from servant leadership to asserting personal authority for effective conflict resolution. To support technical talent, YC is simultaneously launching Summer Fellows Grants that award $20,000 in cash and $90,000 in compute credits to undergraduate students working on novel AI projects, while providing access to AI Startup School and in-person co-working sessions. The discussion concludes that while solo founders avoid interpersonal friction, they are at a significant disadvantage against the superlative collaboration necessary to build exceptional, scalable companies.
- Y Combinator49 min
How AI Is Changing Enterprise
Aaron Levie, Gary, Jared, Harj, Diana, Mark Mandelmann, Mark Mirchandani, Mark Mandalini, David Eastman, Melanie Warrick
Industry leaders assert that sustainable AI startups must evolve into software companies delivering proprietary business logic rather than relying on simple model wrappers, a shift driven by the economic reality that intelligence is becoming commoditized. This transition is fueled by Jevons Paradox, which predicts that lower costs will expand the total addressable market by enabling enterprises to automate previously unaffordable workflows while shifting pricing models toward usage-based structures. Consequently, Fortune 500 organizations are rapidly adopting AI-native strategies focused on core intellectual property, leveraging agentic workflows to reinvest efficiency gains into growth rather than workforce reduction.
- Y Combinator44 min
How To Get AI Startup Ideas
YC is hosting its inaugural AI Startup School in San Francisco on June 16th and 17th, featuring high-profile speakers like Elon Musk and Sam Altman to guide eligible CS students and recent graduates through cutting-edge venture creation. The program emphasizes deriving viable startup ideas by leveraging unique domain expertise or conducting undercover research in underserved industries, illustrated by case studies of founders who transformed personal observations at companies like Tesla and Cohere into seven-figure ventures. Participants receive full travel support and strategic advice to persist with ambitious AI projects, moving beyond transient trends to build companies with sustainable competitive advantages in rapidly evolving sectors.
- Y Combinator38 min
2024: The Year the GPT Wrapper Myth Proved Wrong
Jared Harge, Diana, Harj, Lily Yang, Cheng Cheng, Suk Peng, Yiu, Francesc Campoy Flores, Priyanka Vergadia, Anan, Mark Mandelbaum, Melanie Warrick, Mark Mirchandani, Gary Miles, Leslie Kendrick Magnuson, Harjit
The 2024 startup landscape shifted toward capital-efficient growth, where companies like Opus Clip and Perplexity achieved tens of millions in revenue with under $5M in funding by leveraging open-source models and vertical-specific applications. Enterprise adoption accelerated as AI agents attained enterprise-scale reliability, driving a record-breaking aggregate weekly growth rate of 10% for YC batches while converting pilots to revenue at unprecedented speeds. This ecosystem revival was fueled by regulatory relief, a resurgence of in-person Silicon Valley activity, and a strategic pivot from model monopoly to multi-model orchestration that prioritized product execution over raw compute ownership.
- Y Combinator34 min
The 10 Trillion Parameter AI Model With 300 IQ
Leslie Kendrick, Mark Mandelmann, Jared, Harj, Paul Lewis O'
OpenAI recently secured a historic $6.6 billion funding round to accelerate the development of 10 trillion parameter models that promise to match human genius-level intelligence in scientific discovery and software engineering. While the O1 model achieves near-perfect accuracy for knowledge worker tasks, market dynamics are shifting as competitors like Claude and Llama gain significant developer share and startups rapidly adopt agentic coding tools like Cursor. This capital-intensive scaling strategy aims to overcome current latency and cost barriers, potentially transforming enterprise operations by replacing legacy systems with autonomous AI workflows.
- Y Combinator59 min
How YC Was Created With Jessica Livingston
Jessica Livingston, Harj, Yuri Milner, Diana, Gary, Jared
Founded in 2005 by Jessica Livingston and Paul Graham, Y Combinator pioneered the mass-production of startups by replacing traditional venture capital barriers with standardized legal deals and a "batch" model that fostered intense peer collaboration. The organization evolved from providing $10,000 checks to distributing millions per cohort, a shift catalyzed by investor Yuri Milner and proven through massive returns from companies like Reddit, Airbnb, and Dropbox. By prioritizing unconventional founders and maintaining an earnest, non-commercial culture, Y Combinator transformed early-stage funding into a global ecosystem where community and rapid iteration supersede traditional business plans.
- Y Combinator38 min
Are We In An AI Hype Cycle?
Gary, Jared, Harj, Diana, Mark Mandelmann, Jr., Melanie Warrick, Mark Mandelbacher
Y Combinator is launching its first-ever Fall batch, offering $500,000 in funding with an application deadline of August 27th. The organization analyzes the current AI market through a dual lens of heightened hype cycles and tangible application-layer utility, contrasting speculative valuations against revenue-generating tools that demonstrate clear enterprise efficiency. While acknowledging risks of overinvestment similar to past tech bubbles, YC emphasizes that long-term value will accrue to companies solving specific customer problems rather than relying on foundation model speculation.
- Y Combinator49 min
Gmail Creator Paul Buchheit On AGI, Open Source Models, Freedom
Paul Buchheit, Jared, Harj, Diana, Noam Shazier, Mark Mandelbaum, Mark Blyth, Paul Lewisohn, Zuck Meyer, Melanie Warrick, Gary Illyes, Lyn Alden
Paul Buchheit and Noam Shazier trace Google's evolution from an AI-first innovator to a risk-averse monopoly that stifled tools like Lambda to protect search revenue, while OpenAI emerged as a non-profit counter-movement funded by figures like Elon Musk to keep research open. Buchheit champions open-source models as essential for preserving individual liberty against Big Tech centralization and authoritarian surveillance, predicting that algorithmic efficiency will soon lower barriers for small teams to build AGI. He warns that regulatory overreach like SB 1047 will force excessive censorship and that the future workforce will face displacement by autonomous AI agents capable of deep-faking knowledge work by 2033.
- Y Combinator38 min
10 People + AI = Billion Dollar Company?
Gary, Jared, Harj, Diana, Jensen Huang, Francesc Campoy Flores, Mark Mandelmann, Michael Witwer, Mark Mandelbach, Mark Mandalmann Bennett, Mark Mandellmann Goldberg, Patrick Hollison, Brian Chesky, Mark Pincus, Rick, Lena Kahn, Harjit
A panel challenged Jensen Huang's prediction that natural language interfaces will render computer science education obsolete, arguing instead that AI currently struggles with the complex, real-world engineering frictions that require human intuition and design. While acknowledging that AI benchmarks like SweeBench demonstrate significant progress in automating routine tasks, the discussion emphasized that programming remains a fundamental cognitive process for discovering ideas and solving ambiguous business problems. Consequently, the panel projects that efficiency gains will trigger the Jevons Paradox, fostering thousands of new billion-dollar ventures rather than consolidating power, provided founders maintain the engineering literacy needed to effectively direct AI tools.
- Y Combinator41 min
Better AI Models, Better Startups
Gary, Jared, Harj, Diana, Melanie Warrick, Mark Mandelmann, Mark Blythington, Joel Morton, Jordan, Francesc Campoy Flores, Carrie Nordlund
The event analyzes a strategic shift where startups can thrive by building specialized vertical B2B tools and niche consumer products rather than competing with major labs on general-purpose interfaces. It highlights how advanced capabilities like massive context windows and multimodal reasoning create new opportunities in sectors such as robotics, legal tech, and personalized agents while maintaining RAG infrastructure for enterprise data control. Ultimately, the consensus advises founders to leverage these model improvements to automate complex workflows, citing historical precedents where specialized players succeeded by avoiding head-on competition with tech incumbents.