Latest Interviews
Showing 1–8 of 8 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 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 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 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 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 Combinator20 min
Kat Mañalac - How to Launch (Again and Again)
The presentation redefines startup launching from a singular event into a continuous iterative process designed to validate problems and refine pitches before full product completion. It outlines specific tactical approaches ranging from silent and community-based launches to strategic influencer outreach and viral waitlists, illustrated by case studies from companies like Reddit, Magic, and Superhuman. By prioritizing early market testing over perfectionism, founders can identify target segments and secure traction while avoiding the risks of delayed development.