Latest Interviews

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.

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.

Does Your Startup Website Pass The First Impression Test? | Design Review

Aaron Epstein, Zack Onisko, Zach Anusko

A panel of design reviewers evaluated eight contemporary websites to demonstrate how immediate clarity and functional hierarchy determine user retention over visual complexity. The analysis contrasted successful interfaces like Bottomless and Capacity, which utilized concise messaging and purposeful motion, against flawed examples such as CloudThread and Integrated Reasoning that suffered from distracting animations, inaccessible text contrast, and opaque value propositions. These findings establish that effective web design requires prioritizing the "don't make me think" principle by eliminating cognitive friction and ensuring core products are instantly recognizable within the first five seconds of loading.

Lightcone: Consumer is back, What’s getting funded now, The vibes immaculate

Gary, Harge, Diana, Mark Mandelbaum, Mark Mandelmann, Mark Mirchandani, Mark Mandalini, Francesc Campoy, Jared Yanoski, Melanie Warrick, Dana

The Winter 2024 YC batch marks a historic platform shift where AI dominates 70% of 243 companies, driving total Annual Recurring Revenue from $6 million to $20 million while attracting a record number of MIT graduates. This cohort exhibits a distinct pivot toward consumer startups and developer infrastructure, reversing previous B2B and international expansion trends as founders prioritize tangible AI products over crypto or marketplaces. With median founder age dropping to 26 and 30% of startups pivoting to new ideas, the program positions itself at the foundational stage of an AI revolution comparable to 2007, signaling a massive opportunity to disrupt global software spending.

How To Build Generative AI Models Like OpenAI's Sora

The event analyzes OpenAI's Sora model, highlighting its breakthrough in text rendering and temporal consistency while noting persistent flaws in physical logic and immense computational demands. It details how YC startups like Infinity AI and Sonato are achieving comparable results through data efficiency, synthetic training, and optimized model architectures rather than massive scale. The discussion concludes by projecting how these physics-simulating AI techniques will accelerate scientific discovery in fields ranging from weather prediction to drug discovery.

Why Founders Shouldn't Think Like Investors

Dalton, Michael

Dalton and Michael argue that early-stage founders trained in venture capital or corporate consulting often fail by applying large-company frameworks like extensive market analysis and exit planning to pre-product startups. This "VC mindset" creates analysis paralysis and a detachment from the critical "micro" work of manually acquiring the first customer, whereas successful execution requires a "beginner's mind" focused on deep user immersion and domain expertise. The speakers conclude that founders must unlearn these counterproductive habits to embrace the uncertainty of the zero-to-one phase and leverage the flexibility needed to navigate early business failure.

The best AI founders in the world are moving here

San Francisco has re-established its status as a global hub for artificial intelligence following the ChatGPT catalyst, which reversed the remote work exodus and concentrated major entities like OpenAI and Anthropic within a specific "Cerebral Valley" cluster. Y Combinator's strategic relocation to the Dog Patch further intensifies this agglomeration by physically co-locating hundreds of founders to maximize high-frequency networking and accelerate the current "boom loop." This renewed density is projected to drive a decade-long economic recovery, filling previously vacant downtown offices while fostering a techno-optimist society that reinvests tech wealth into housing, safety, and inclusive growth.

Building Confidence In Yourself and Your Ideas

Dalton, Michael

This analysis warns founders against relying on superficial validation, such as cold outreach, which often leads to "pivotitis" and wasted resources driven by fear or false industry data. It emphasizes that success requires high internal conviction to withstand fundraising cycles and negative feedback, distinguishing between healthy strategic adjustments and random walks that deplete energy without generating experience. Ultimately, the event defines a true Minimum Viable Product as one that satisfies at least one user, urging teams to prioritize deep, iterative learning over rushed metrics.

Apple Vision Pro: Startup Platform Of The Future?

Diana, Jared

At the event, YC's Diana analyzed the Apple Vision Pro's transition to high-resolution video see-through technology and spatial computation, positioning it as a productivity-first platform with a hardware architecture comparable to self-driving cars. She contrasted this with Meta's game-focused approach, emphasizing that successful adoption requires founders to build deep, irrational commitment to overcome early "iPhone moment" limitations regarding app ecosystems and user experience. Drawing parallels to the five-year trajectory of mobile computing, the discussion advised investors to fund developers addressing high-density workflows now, predicting a similar evolution from niche tools to mass-market transformative startups.

Critiquing Software Startup Websites with CEO of Glide

Aaron Epstein, David Siegel

This analysis evaluates the design and messaging strategies of six developer-focused startups, contrasting Automorphic's interactive challenges with Trigger.dev's open-source maturity signals. It highlights critical UX flaws, such as Mozart Data's lack of immediate code examples and Mirrorful's ambiguous visual hierarchy, while praising Sweep's founder-led trust-building approach. The report recommends prioritizing live playgrounds and transparent pricing above the fold to better align with the specific verification needs of technical audiences.

Critiquing Startup Mobile Apps with Glide CEO

Aaron Epstein, David Siegel

In a Design Review episode, host and David Siegel of Glide evaluated the mobile usability of five diverse applications to emphasize that software differentiation relies on rigorous design execution rather than code alone. The analysis critiqued Pearls for its effective thumb-zone optimization while exposing critical flaws in Blue Dot's color-coded status indicators and EdenCare's lack of native functionality. Ultimately, the discussion highlighted how context-aware interactions, visual hierarchy, and platform-specific standards determine whether apps like Duffle and Bold Voice succeed in engaging users or create friction that drives abandonment.

Startup Experts Share Their Investor Horror Stories

Founders recount numerous instances of investor misconduct, including deliberate power plays and unprofessional behavior that test patience, while experts categorize investors by their capacity to provide speed, value, or detrimental distraction. Strategic guidance emphasizes prioritizing "A-grade" partners who move quickly over those who demand ego validation, urging teams to rely on community feedback rather than singular investor opinions to navigate the fundraising landscape. As the venture capital market shifts from status-driven games toward meritocracy, founders are increasingly empowered to reject bad capital and focus on building products that truly serve users.

The Student's Guide To Becoming A Successful Startup Founder

Dalton Caldwell, Michael Seibel, Michael Sybil

The event outlines a strategic framework for high school entrepreneurs to leverage their high-risk, low-consequence environment for skill acquisition, emphasizing coding, design, and the execution of low-stakes side projects. It advocates for a long-term mindset where young people treat the "startup game" as a multi-year endeavor requiring patience, ethical integrity, and the development of empathy to navigate systemic credentials. By rejecting cynical narratives and adopting a grind mentality, aspiring founders can build the foundational power center necessary to transform early experimentation into sustained professional success.

The REAL potential of generative AI

Ali Rowghani, Raza Habib

HumanLoop empowers the "next million developers" to customize raw Large Language Models for specific business needs by mitigating hallucinations through factual context injection and refining brand voice via fine-tuning. The platform supports the entire development lifecycle, from prototyping prompt iterations to evaluating subjective outputs using dynamic production feedback, enabling differentiation without relying on expensive proprietary hardware. By addressing the technical hurdles of instruction tuning and Reinforcement Learning from Human Feedback, the service aims to accelerate the transition of software roles from boilerplate coding to high-level specification writing ahead of anticipated AGI timelines.

The Hard Conversations Founders Don't Want to Have

Michael Seibel, Dalton Caldwell

This session outlines the critical shift from superficial validation to high-stakes, uncomfortable dialogue between YC partners and founders, emphasizing that true advisory value lies in delivering honest feedback that prevents catastrophic errors. The discussion details how to navigate common "questions behind the questions" in founder interactions, manage co-founder conflicts through adapted communication styles, and maintain transparency with employees to prevent relationship fractures. Ultimately, the event establishes that effective leadership requires partners to leverage their own past mistakes to guide startups through difficult decisions without relying on infallible authority.