Latest Interviews
Showing 1–15 of 37 transcripts.
Clear all filters- Y Combinator14 min
How to Get Your First 10 Customers
This guide outlines a tactical framework for founders to secure their first ten customers by prioritizing manual, high-trust interactions over scalable automation. Early acquisition focuses exclusively on personal networks and in-person efforts, utilizing specific channels like micro-events, targeted Reddit DMs, and value-driven advice requests before ever deploying prospecting tools. Once these foundational deals are won through unscalable work, the strategy shifts to utilizing software like Apollo and Clay to replicate the validated pitch for subsequent growth.
- Y Combinator38 min
Recursion Is The Next Scaling Law In AI
Ankit Gupta, Francois Chaubard
Two 2025 research initiatives, Hierarchical Reasoning Models (HRM) and Tiny Recursive Models (TRM), challenge standard scaling laws by utilizing inference-time recursion to achieve state-of-the-art reasoning with drastically fewer parameters. HRM reaches 27 million parameters using a three-level weighted hierarchy, while the simplified TRM distills the architecture to just 7 million parameters yet achieves 87% accuracy on ARC-Prize benchmarks by treating recurrence as a dynamic latent memory tape. These systems overcome historical RNN limitations through Deep Equilibrium Models and latent recursion, offering a pathway to efficient, deep reasoning that diverges from traditional Chain-of-Thought constraints.
- Y Combinator9 min
Transformers Explained: The Discovery That Changed AI Forever
This event traces the evolution of AI from early neural networks plagued by vanishing gradients to the 2017 introduction of the transformer architecture, which replaced sequential processing with parallel self-attention. Key milestones include the LSTM's ability to model long-range dependencies, Google Translate's adoption of attention-based sequence-to-sequence models, and the subsequent bifurcation of transformers into encoder-focused BERT and decoder-focused GPT series. These developments enabled the shift from single-task specialists to general-purpose large language models, establishing the foundation for current state-of-the-art systems like ChatGPT and Claude.
- Y Combinator39 min
Startup Advice: AI GTM, Pivoting & How To Hire
Founders entering legacy industries must select a go-to-market model—typically software-first, full-stack, or acquisition-based—while rigorously tracking automation trajectories to secure software valuations from investors. Strategic execution requires prioritizing mid-market segments for faster feedback loops and securing empowered early adopters, as AI sales tools and high-level marketing hires only succeed after founders have personally mastered their own product-market fit. Ultimately, successful scaling depends on treating hiring as a failure-prevention necessity, leveraging open-source components to build enterprise trust, and maintaining the conviction to pivot when customer conviction indicates a "great" idea is absent.
- Y Combinator13 min
OpenAI vs. Deepseek vs. Qwen: Comparing Open Source LLM Architectures
OpenAI, Alibaba Cloud, and DeepSeek have each launched significant open-weight language models featuring distinct Mixture of Experts architectures and advanced long-context capabilities. While OpenAI's GPT-OSS prioritizes inference efficiency on consumer hardware, Alibaba's Qwen 3 introduces flexible dense and sparse variants with dual reasoning modes, and DeepSeek's V3.1 achieves superior memory efficiency through Multi-Head Latent Attention. Despite differing engineering strategies for scaling and alignment, all three families demonstrate comparable performance benchmarks derived from trillions of tokens and complex post-training pipelines.
- Y Combinator29 min
The Right (And Wrong) Way To Spend Money At Your Startup
Brad Flora, Pete Koomen, Nicolas Dessaigne, Gustaf Alströmer, Nicola, Gustav
This presentation outlines a strict capital discipline strategy for startups, emphasizing that pre-seed and seed founders must prioritize product-market fit by avoiding premature hiring and restricting spending to absolute essentials. As companies transition to Series A and beyond, the focus shifts to scaling a predictable revenue engine where growth is fueled only by accretive hiring and retention metrics like Net Dollar Retention. Throughout all stages, the guidance warns against mimicking large corporate structures or overspending on branding, urging founders to maintain transparency and use capital strictly as fuel for validated business models rather than a tool to mask fundamental weaknesses.
- Y Combinator14 min
How To Use AI In Your Startup
The Y Combinator Spring Batch application deadline of February 11th offers selected startups a $500,000 investment and critical network access, with a strong emphasis on relocating to the San Francisco Bay Area to stay synchronized with rapidly evolving market conditions. Founders are advised to integrate large language models into their core product or operations rather than merely pivoting for trendiness, leveraging their physical proximity to industry leaders to identify automation opportunities in sectors like healthcare and legacy software replacement. Case studies such as WAPI illustrate how embedding within the SF community enabled an early pivot to voice AI, contrasting with remote companies that failed to adapt due to an informational lag in understanding current technological capabilities.
- Y Combinator7 min
The Lightcone 2025 Forecast
Predicted to dominate 2025, AI is expected to secure two additional Nobel Prizes while driving the emergence of real-time 3D avatars and acting as a primary deflationary force that enables central banks to lower interest rates. Simultaneously, stablecoins are forecast to achieve ubiquitous retail adoption by leveraging existing user bases and resolving market liquidity barriers, a shift that will be further influenced by cryptocurrency valuations tied to potential government efficiency initiatives. These technological and economic developments converge to redefine scientific discovery, global payment systems, and digital consumer interfaces within the coming year.
- 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 Combinator21 min
How To Find A Co-Founder | Startup School
The event outlines a comprehensive strategy for startup founders to secure co-founders who can double execution capacity, enhance quality control, and provide essential emotional resilience. It emphasizes selecting partners based on stress tolerance and aligned goals rather than specific technical skills, recommending equal equity splits and a trial period to mitigate the risks of role disputes or work ethic mismatches. By leveraging networks for organic connections and maintaining regular communication, founders can avoid common breakup causes and build a durable team capable of competing with established entities.
- Y Combinator29 min
How To Keep Your Users | Startup School
YC Group Partner David Leib leverages his experience scaling Bump and Google Photos to argue that high cohort retention is the definitive quantitative signal of product-market fit. He details precise methodologies for defining user actions, selecting appropriate measurement intervals, and interpreting retention curve shapes to distinguish sustainable growth from a churn-heavy treadmill. By avoiding common analytical pitfalls and applying strategies like user acquisition targeting and onboarding optimization, founders can transform cohort data into a actionable roadmap for building scalable, long-term businesses.
- Y Combinator18 min
How To Price For B2B | Startup School
Founders are advised to anchor pricing in a collaborative value equation that quantifies customer ROI, setting rates between 25% and 50% of that value to ensure healthy margins while retaining two-thirds of the benefit for the client. The strategy explicitly discourages cost-plus or predatory price wars, instead urging a shift toward recurring revenue models and short, metric-driven pilots to mitigate revenue volatility. By treating cloud credits as real costs and avoiding public price transparency for enterprise deals, this framework enables startups to secure sustainable growth without triggering a race to the bottom.
- Y Combinator18 min
Why Startup Founders Should Launch Companies Sooner Than They Think
This presentation dismantles the myth of the single-shot launch, arguing that founders should immediately release imperfect MVPs to gather critical data rather than delaying for perfection. It highlights Y Combinator's peer-pressure strategy and case studies like Airbnb and Brex to demonstrate that early failure provides essential learning while the market rarely remembers product stumbles. By redefining launch goals from revenue generation to information gathering, founders can overcome psychological barriers to build products that deeply serve a small, urgent user base.
- Y Combinator26 min
Startup Experts Discuss Doing Things That Don't Scale
Paul Graham's 2013 essay "Do Things That Don't Scale" challenges Silicon Valley orthodoxy by urging early-stage founders to manually solve immediate user problems before prioritizing technical infrastructure, a strategy exemplified by companies like Airbnb and DoorDash. This approach prioritizes rapid learning and product-market fit over theoretical scalability, allowing startups to validate demand through direct customer engagement while avoiding the pitfalls of building unwanted solutions. Although manual operations risk trapping founders in consultancy models, successfully transitioning to automation after securing initial traction provides a critical competitive advantage by ensuring software development addresses genuine market needs.
- Y Combinator22 min
Consumer Startup Metrics | Startup School
Founder guidelines for consumer startups define 15% month-over-month growth as the ideal benchmark while emphasizing that viral loops and network effects provide sustainable value compared to paid acquisition. Strategic analysis mandates rigorous tracking of customer acquisition costs against retained users to ensure positive unit economics, alongside defining retention "magic moments" and maintaining a Net Promoter Score above +50 to validate product-market fit. Companies achieving long-term scale typically prioritize an 80:20 split favoring organic channels to mitigate the risks of diminishing returns and platform dependency inherent in over-reliance on paid growth.