Latest Interviews

Signs Your Company Is Recovering From ZIRP

Dalton, Michael

Hosts define the current economic recovery from the "Zerp" era as a period marked by the elimination of vanity projects, the removal of excessive perks, and a mandatory return to office to enforce a culture of accountability. This shift involves high executive turnover and founders reclaiming operational control to replace ineffective leadership with a wartime mentality that prioritizes substantive output over comfort. The speakers advise employees to adapt to increased work intensity and stricter standards, warning that those remaining in stagnant organizations should consider leaving to join entities genuinely correcting their strategic errors.

Y Combinator co-founder Jessica Livingston on the beginnings of YC.

Jessica Livingston, Gary

Established in 2005 Boston, this venture capitalized on a capital-starved market to create a dedicated early-stage vehicle addressing the scarcity of small seed funds. The entity launched a distinct strategy of issuing modest checks specifically to provide founders with the liquidity needed to quit their jobs and validate ideas before pursuing larger funding rounds. This approach successfully filled a critical gap in the angel investment landscape by bridging the gap between untested concepts and traditional venture capital requirements.

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.

We’re still in the early innings with AI.

YC-backed ventures like DoorDash, Instacart, and Uber exemplify smartphone-driven success stories that launched roughly four years after the iPhone's release. These examples demonstrate that determining which ideas will succeed and where value will accumulate requires a significant period of maturation before market dominance can be achieved.

Gmail creator Paul Buchheit on the very first version of Google’s “Did you mean?” feature

Paul Buchheit

A former Google engineer designed the original "Did you mean" spell correction feature after analyzing query logs that revealed roughly one-third of searches contained errors. Although the initial implementation used a standard spell correction library, it frequently produced incorrect suggestions, such as recommending the fish "Turbot" for "TurboTax." These early accuracy failures highlighted the complexity of auto-correction and drove subsequent refinements to the system's reliability.

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.

How Nothing Founder Carl Pei Built A Multi-Million Dollar Smartphone Brand In Just 2 Years

Carl Pei

Nothing founder Carl Pei details the company's strategic pivot from a bankrupt partnership with a Chinese factory to achieving $600 million in annualized revenue by overcoming a 90% return rate on its "ear one" product. Pei advocates for hardware founders to prioritize operational stability over design innovation, utilizing a "two-second rule" for features like the Glyph Interface to mitigate screen addiction and build brand trust. This approach enabled the startup to successfully validate its supply chain with 600,000 units sold and establish a foundation for future smartphone ambitions in the highly competitive hardware sector.

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.

Tarpit Ideas: The Sequel

Dalton, Michael

YC partners Dalton and Michael define "tar pit" ideas as market spaces that appear highly attractive but historically fail due to a lack of genuine technological shifts or fundamental behavioral changes. While Large Language Models have rendered some previously impossible ventures viable, founders must demonstrate concrete problem-solving capabilities rather than relying on social validation or assuming the first successful iteration is imminent. This dynamic framework warns against behavioral coordination failures and fast wealth arbitrage, urging entrepreneurs to rigorously validate ideas against historical precedents and actual user needs.

The artistry is actually in that interface between the human and the technology itself.

The speaker argues that while artificial intelligence will significantly assist with backend development and API writing, it cannot fully automate the creative interface between humans and technology where true software artistry resides. By leveraging strongly typed systems and natural language to translate requirements into specifications, AI serves as a powerful tool that augments human productivity rather than replacing it. Ultimately, the event emphasizes that defining the fundamental scope of products remains a critical human responsibility that transcends mere code generation.

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 models, better startups.

B2B companies are leveraging advanced AI models to achieve productivity scales where a single employee performs the equivalent work of ten, while simultaneously upselling premium features to drive year-over-year revenue growth. End-users focus on functional utility rather than model architecture, allowing vendors to incrementally charge for enhanced capabilities as technology improves. This strategy has proven highly effective, with a Y Combinator cohort demonstrating rapid expansion from $6 million to over $30 million in annual revenue within a single batch cycle.

What Is ZIRP And How Did It Poison Startups?

Dalton, Michael

During the Zero Interest Rate Phenomenon, a flood of cheap capital distorted venture capital markets, prompting fund managers to chase assets under management while founders prioritized aggressive hiring and inflated valuations over product-market fit. This environment spawned a wave of unsustainable businesses that collapsed immediately when rates normalized, separating companies with viable profit models from those reliant on infinite liquidity. In response, experienced investors and accelerators like Y Combinator are now urging a return to realistic growth strategies that prioritize operational efficiency and enduring business models over market timing.

It only really matters if you can find a handful of users that use your product habitually.

Early-stage founders are advised to prioritize identifying users who habitually integrate their product into daily workflows over pursuing vanity metrics like total signups. Success is defined by the retention of a core user base that returns repeatedly, rendering other performance data insignificant without this foundational evidence of habitual usage. Consequently, high acquisition numbers remain secondary unless they demonstrate tangible integration into the users' regular routines.

Standing Up For Startups - YC Goes To D.C.

Luther Lowe, Garry Tan

Y Combinator has established a physical presence in Washington, DC, hiring former Yelp executive Luther to lead its advocacy for "little tech," a movement supporting small, high-impact startups against the dominance of established industry giants. This initiative prioritizes policy reforms regarding skilled immigration, labor mobility, and antitrust legislation while safeguarding the legality of open-source artificial intelligence tools to prevent regulatory stagnation. By leveraging authentic narratives from its global founder network, the organization aims to counteract astroturfing and bridge technical literacy gaps within Congress to foster a more balanced innovation ecosystem.