Latest Interviews
Showing 91–105 of 433 interview transcripts.
Clear all filters- Y Combinator1 min
Many AI apps today are like the horseless carriages of the late 19th century.
The industry currently mirrors the "horseless carriage" phenomenon where AI adoption simply replicates legacy workflows rather than leveraging unique platform capabilities. Historical patterns indicate that software must transition through these superficial early iterations over several years before achieving functional utility. Consequently, experts assert that AI in software development has not yet reached this mature stage of useful implementation.
- Y Combinator0 min
Sometimes, the tech just needs time to catch up.
Founded just before the pandemic, Replicate spent two years building in obscurity after halting operations due to poor initial performance. The company eventually achieved an overnight surge in growth once image diffusion models matured, overcoming a significant technology adoption lag. This transition transformed a period of quiet development into a major market catalyst for their platform.
- 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 Combinator30 min
How To Design Better AI Apps
Pete Kuhman argues that most current AI software applications are merely legacy interfaces retrofitted with basic chat capabilities rather than being re-engineered as true "action-oriented" agents. He proposes a shift where users can customize or auto-generate system prompts to transform AI from a generic text generator into a tool that executes complex, multi-step workflows across different software environments. Supported by Y Combinator's internal implementation of such agents, this paradigm aims to replace manual prompt engineering with personalized, autonomous systems that handle routine cognitive tasks.
- Y Combinator1 min
Software engineering as we know it will look much different in 5-10 years.
The speaker predicts that traditional software engineering roles will become obsolete within five to ten years as AI tools replace direct code writing. Historical patterns of abstraction suggest that while the nature of the work evolves from machine code to high-level management, the title of software engineer will persist in a transformed capacity. Although job displacement often triggers negative reactions, the analysis indicates that these roles will shift toward human oversight rather than disappear entirely.
- Y Combinator19 min
How AI Coding Agents Will Change Your Job
Tom Blomfield and other Y Combinator founders describe a rapid shift where AI coding tools have surged to 50% adoption, enabling individuals to generate massive software artifacts and achieve tenfold productivity gains. This technological leap promises to replace traditional software engineering roles within a decade, transitioning the industry toward small, owner-led teams that manage AI agents rather than writing code manually. While these advances create unprecedented opportunities for solo founders to build valuable companies with minimal capital, the broader displacement of white-collar workers in fields like law and medicine is expected to trigger significant societal turbulence over the coming decades.
- Y Combinator1 min
Irrational optimism and uncompromising realism.
Recognizing GitHub Copilot as an inevitable market leader, the company founders adopted a dual-belief framework of irrational optimism and uncompromising realism to justify the existential risk of competing against Microsoft and OpenAI. They executed a high-stakes strategy by training and deploying their own independent autocomplete models within their product as a free user feature. This approach aimed to capture untapped market potential despite the certainty that failure would result in the company's demise.
- Y Combinator53 min
Windsurf CEO: Betting On AI Agents, Pivoting In 48 Hours, And The Future of Coding
Varun Mohan, Mark Mandelmann, Jr., Melanie Warrick, Amanda Schade, Mark Blyth
Windsurf, led by founders who pivoted from GPU virtualization to AI coding tools in 2022, has rapidly scaled to over one million developers and achieved eight-figure annual revenue without a dedicated sales team. The company differentiates itself through an "agentic editor" that handles codebases exceeding 100 million lines by combining AST parsing with real-time GPU re-ranking, enabling automated legacy migration and multi-step code execution. This rapid growth was driven by a strategy of immediate product iteration, such as transforming a VS Code extension into a standalone IDE to overcome architectural limitations, all while maintaining a hiring philosophy centered on engineers capable of executing high-stakes pivots.
- Y Combinator1 min
Why Now Is the Best Time for Designers to Start Companies
The evolution of design from an inquiry-based art to an industrial problem-solving discipline has been driven by the sector's integration into engineering and production frameworks. Today, this shift is defined by designers directly controlling the means of production through software and code, effectively bridging the gap between conceptualization and physical manufacturing. Consequently, modern practitioners have moved beyond static, non-digital outputs to actively execute the creation of objects, fundamentally altering the relationship between design intent and material realization.
- Y Combinator38 min
How Zepto Became India’s Fastest Growing Startup
Zepto co-founders Aadit Palicha and Aadit Palicha (KB) scaled a Mumbai-based grocery startup into a $5 billion unicorn by pioneering a "customer backward" dark store model that delivers 1.5 million daily orders across 50 Indian cities in ten minutes. The company achieved financial efficiency by breaking even just over two years ago despite a global capital freeze, while diversifying revenue streams through advertising and new verticals like Zepto Cafe. Driven by a long-term vision to rival global giants like Amazon, Zepto leverages generative AI and a cost-effective Indian talent pool to expand beyond groceries into electronics and general merchandise.
- Y Combinator1 min
Derek Thompson’s advice for founders is to follow your curiosity.
The speaker frames human existence as a fleeting three-second cosmological interval, urging individuals to shift from mass-consumer roles to becoming unique creators in critical technical fields. By prioritizing curiosity-driven work in hard technology, robotics, green cement, and new energy capture, this approach aims to solve enduring global problems that will remain relevant for centuries. This philosophy contrasts with transient pursuits, emphasizing the production of work that no one else would make as the only path to lasting significance.
- Y Combinator2 min
Startups that make it are rare. You can do it alone, but with a good co-founder you can go farther.
The discussion emphasizes that successful startups depend on highly aligned co-founders capable of navigating critical challenges, rejecting the notion that working alone is a safer alternative to partnership. This perspective aligns with the Renee Adler philosophy that all business problems are ultimately people problems, requiring founders to actively manage conflict and collaboration to secure necessary capital and talent. Ultimately, founders who refuse to engage in these essential interpersonal dynamics risk ceding market dominance to competitors who are willing to "play to win" by building strong teams and resources.
- Y Combinator2 min
The idea for DoorDash didn’t come from surveys—it came from living a day in the customer’s shoes.
DoorDash's founders identified a critical delivery gap after observing a macaroon store owner reject a thick booklet of lost orders, revealing a scalable opportunity for the broader restaurant and retail ecosystem. This insight drove their strategy to validate three distinct components: the merchant need, consumer demand, and driver supply, which proved essential during their Y Combinator period. The resulting platform successfully addressed the unmet revenue potential for small merchants while establishing the necessary infrastructure for a functional gig economy workforce.
- Y Combinator21 min
What Founders Can Do To Improve Their Design Game
Raphael Schad argues that successful startups require the intersection of design, business, and technology, urging designers to learn coding to bridge the gap between concept and execution. His startup Cron exemplifies this approach, having evolved into Notion Calendar following an acquisition that validated the power of founders who can build their own product visions. As artificial intelligence reshapes product categories, Schad emphasizes that the ability to create interactive prototypes and understand technical constraints remains a critical competitive advantage for modern founders.
- Y Combinator32 min
DoorDash CEO: Customer Obsession, Surviving Startup Death & Creating A New Market
DoorDash was founded on the principle of empowering physical businesses after observing a macaroon store owner's inability to fulfill delivery requests, leading to a validated strategy that prioritized suburban markets and a diverse driver workforce over traditional high-density city centers. The company weathered critical operational crises, such as the 2013 Stanford delivery delays and persistent investor skepticism, by establishing a customer-obsessed culture that later enabled it to surpass competitors during the 2020 pandemic through strategic commission cuts and industry-wide support. Today, DoorDash employs over seven million drivers and commands approximately 60% of the U.S. food delivery market share while maintaining its long-term mission to grow the GDP of every city.