Latest Interviews

Cursor for Product Managers

Identifying a critical gap where current AI tools like Cursor excel at implementation but fail to support the product discovery phase, the event proposes an "AI-native system" designed as a dedicated "cursor for product management." This proposed solution ingests customer interviews and usage data to generate validated feature outlines, propose specific UI and data model changes, and break down development tasks for coding agents. The organizers are actively seeking engagement from founders and developers to collaborate on building solutions that address this evolving need in product specification methodology.

Building The World's First Reusable Rockets

Andy Lapsa, Tom Feldman

Recognizing a critical industry flaw where single-use rockets are discarded after a single flight, founders launched a venture dedicated to developing rapidly reusable orbital vehicles to fill this technological vacuum. They proceeded with the conviction that full reusability was a necessary pursuit, accepting the venture as the "easiest hardest decision" based on a moral imperative to attempt the solution regardless of the probability of failure. This bold entry into the aerospace market was driven by the belief that the potential for a sustainable launch model justified the risks of building a new company from scratch.

The AI Economy Is Stabilizing

Jared Friedman

By 2025, the AI economy has stabilized into a three-tier ecosystem of model developers, application providers, and infrastructure firms following a volatile 2024. A standardized playbook for building AI-native companies has enabled broad profitability across all layers without any single entity achieving market dominance. This progression reflects steady, incremental improvements in model capabilities rather than revolutionary breakthroughs that would disrupt the current trajectory.

How To Get Your First Users

Ankit Gupta

Startup founders are urged to launch a Minimum Evolvable Product and secure paying customers through direct outreach to ensure rapid, pressure-driven evolution rather than aiming for immediate perfection. This strategy is particularly critical in the AI sector, where high computational costs necessitate targeting prosumers or businesses with deeper pockets over price-sensitive consumers. By treating early ventures as simple organisms capable of significant adaptation, founders can navigate path dependency where initial user choices fundamentally steer the product's final form and market relevance.

Finding Opportunity in Outdated Rules

Emerging companies frequently capitalize on legal ambiguities, such as OpenAI's copyright challenges or Lyft's initial fear of criminal liability, to launch disruptive models before regulations adapt. These ventures often succeed because legal frameworks evolve post-launch to accommodate high-value consumer innovations, creating a window where outdated statutes fail to align with modern technological realities. Consequently, identifying and exploiting these gray areas becomes a strategic pathway for market entry, as the substantial value delivered to consumers eventually forces the superseding of obsolete laws.

Founder Stories: Rishi Choudhary

Rishi Choudhary

Founded by Rishi Chaudhry, Castle AI deploys voice automation agents to serve three of the top 25 US loan servicers, specifically targeting large banks and mortgage lenders. Moving away from previous corporate constraints, Chaudhry now facilitates direct executive engagement to help enterprise clients define their five-year AI roadmaps. This strategic partnership enables major financial institutions to integrate Castle AI as a central component of their long-term technology transformation.

Founder Stories: Cathy Di

Cathy Di, kathy

Princeton senior Kathy founded Daedalus Labs just months before submitting a late application to Y Combinator's Summer Batch, transitioning from a student to the CEO of an $11 million valued AI agent platform. The company, which provides a simplified environment for building and deploying artificial intelligence agents, leveraged immediate alumni support to bridge its initial lack of customers and revenue. Kathy's rapid trajectory and success at age 21 underscore her belief that current market conditions are optimal for launching new ventures despite the risks of abandoning a traditional big tech career path.

Founder Stories: Saurav Kumar

Saurav Kumar

UIUC graduate Saurav Kumar launched Fleetline, a Y Combinator-backed venture utilizing graph algorithms to optimize truck positioning and potentially boost customer revenue by 20%. Following his recent graduation in Computer Science and Statistics, Kumar secured six-figure contracts and a $4 million seed round to drive the technology's commercial adoption. The program's environment further normalized high ambition and iterative development, enabling the company to align the founder's inherent strengths with immediate market demands.

Founder Stories: Pablo Hansen

Pablo Hansen

Y Combinator graduate Pablo Hanson has developed Keystone, a modern bug triage platform that aggregates ecosystem data to generate consolidated insights and initial fixes. Rejecting acquisition offers exceeding eight figures, the company recently secured over $5 million in funding to drive its operations amid a strategic vision of transformative technological evolution. The Y Combinator program further enabled the formation of a supportive community and established the foundational operational tone for the startup's growth.

From dorm rooms to million-dollar companies

Former Princeton AI master's student and current founder of an $11M valuation firm secured over $5M in funding after growing monthly revenue from $100 to seven figures annually through contracts with three major U.S. mortgage lenders. The company now collaborates directly with top bank executives to guide their AI implementation strategies, leveraging a network of Y Combinator alumni to achieve rapid customer acquisition. This trajectory, marked by rejected eight-figure acquisition offers, highlights the role of early-stage entrepreneurship in shaping enterprise AI infrastructure.

Don't Just Check Off Boxes

Michael Truell

The discussion advises professionals to prioritize subjects driven by personal interest rather than those that merely satisfy external requirements. It further emphasizes constructing serious, long-term collaborative relationships with peers who are both enjoyable and deeply respected. By shifting focus from short-term metrics to the consistent development of substantive projects, participants are encouraged to build a more meaningful and sustainable career trajectory.

The Hard Part About Being Contrarian

OpenAI's launch faced intense skepticism from the academic establishment, which dismissed the venture due to the founders' youth and lack of peer-reviewed credentials despite their strategic pivot toward outcome optimization rather than publication volume. Similar to SpaceX's trajectory, the organization endured years of negative press and technical setbacks while maintaining a contrarian vision that eventually attracted a specific cohort of believers capable of validating the underlying reality. This journey underscores a broader principle where successful leaders must distinguish verifiable user problems from external expert consensus to effectively solve critical challenges.

The Line Between Software and Service

Max Junestrand

Legal technology leaders are evolving from software providers into strategic partners to help large firms navigate the blurring lines between software and service driven by rapid AI advancements. To support this transition, the organization has executed aggressive headcount scaling while intentionally preserving its corporate culture and operational velocity. This dual focus ensures vendors can deliver the accelerated responses required to manage the complex shifts in the modern legal technology stack.

The Shortcut Rule

The Shortcut Rule demonstrates that optimizing for a single metric achieves the measured target while sacrificing unmeasured objectives, effectively causing programs to hit the target but miss the point. This phenomenon is illustrated by the AI chess case, where Deep Blue defeated Garry Kasparov to satisfy engineering goals without yielding new insights into general human intelligence. Consequently, the event highlights the divergence between technical success and foundational learning when research focuses exclusively on a narrow definition of victory.

Early Decision for Students

Y Combinator is launching an "Early Decision" track specifically for graduating seniors to apply during their final year of study, securing guaranteed funding and a spot in the Summer 2026 batch. This program eliminates the immediate pressure to interview for traditional employment by providing financial support and a committed place in a future cohort before graduation. By allowing founders to receive capital and enrollment immediately, the initiative enables students to focus entirely on building their startups while completing their degrees.