Latest Interviews
Showing 1–15 of 59 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.
- 80,000 Hours15 min
You can't win a war in space
This analysis concludes that in a universe without faster-than-light travel, the inherent physics of interstellar distances grants overwhelming defensive advantages to mature civilizations, rendering large-scale conquest irrational. The study details how mobile habitats, relativistic kill vehicle defenses, and distributed sensor networks create insurmountable barriers for invading fleets, effectively negating the "Dark Forest" hypothesis of constant galactic warfare. Consequently, the document warns that humanity faces a critical existential threat over the next ten millennia unless it rapidly transitions from a vulnerable single-planet state to a dispersed, mobile infrastructure comparable to a Kardashev III civilization.
- Bank of America7 min
Must Read Research: Bull & Bear, AI Infrastructure, Underdog and Housing Markets
Candice Browning, Michael Hartnett, Rafe Jadrosich
Recorded on June 8, 2026, this session analyzes a macroeconomic backdrop defined by $6 trillion in U.S. equity wealth gains alongside persistent inflation that has pushed nearly two-thirds of global central banks past their targets. The discussion details specific growth opportunities in hyperscale data center industrial catering, projected to reach $100 billion, and Underdog's expansion as a top-ranked social-first prediction market platform. Additionally, the briefing evaluates diverging housing sector trends, where affordability constraints have forced major builders to cut margins in key regions while luxury segments and remodel markets benefit from resilient high-income demand.
- InstituteofTrading12 min
ITPM Flash Ep114 Point, Click, Profit.
Amidst stretched tech valuations and cooling inflation narratives, Logitech International presents a strategic opportunity as a debt-free hardware provider capitalizing on the enterprise PC refresh cycle driven by the Windows 10 end-of-life deadline and AI hardware adoption. The company's robust fiscal 2024 performance, characterized by positive operating cash flow and a new CEO-led R&D push, is supported by a bullish option strategy that pairs long August $130 calls with short July $140 calls to limit risk while targeting a potential price run to $155 by late July. This setup seeks to profit from the anticipated low-expectation Q1 earnings catalyst and the broader rotation toward companies with solid fundamentals over speculative assets.
- 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 Combinator19 min
The Sales Playbook For Founders | Startup School
Early-stage B2B founders often stall in non-revenue design partnerships, so this guide outlines a four-stage framework to accelerate sales from initial discovery to signed Annual Recurring Revenue contracts. The strategy replaces vague, months-long pilots with narrow, paid trials that enforce financial commitment and specific ROI metrics, culminating in recurring contracts featuring automatic renewal clauses. By integrating operational tactics like immediate security certification and high-touch onboarding, founders can bypass traditional procurement bottlenecks and establish scalable revenue streams.
- a16z14 min
The Ultimate AI Video Stack: Up-to-Date Best Tools to Make Content With AI
Justine, a partner at A16C and the "Venture Twins" creator, outlines a comprehensive workflow for early-stage AI video production that leverages Google Flow for text-to-video generation and Cling 2.1 for consistent character animation. The presentation details how Hedra facilitates precise lip-syncing with voice cloning capabilities while Higgs Field and Crea manage specialized visual effects and multi-model comparison to refine output quality. By synthesizing these distinct tools into a unified pipeline, creators can currently overcome limitations in audio generation and scene continuity despite the field remaining in its nascent, rapidly evolving stage.
- Y Combinator17 min
How To Get The Most Out Of Vibe Coding | Startup School
The session establishes "vibe coding" as a disciplined engineering practice, recommending specific tool strategies such as using Replit for novices and dual-workflow setups with Cursor and Windsurf for experienced developers. It outlines a rigorous methodology involving architectural planning, modular Git-based implementation, and strict error handling protocols to manage AI-generated code effectively. The discussion further analyzes current model capabilities, highlighting Claude Sonnet 3.7 for implementation and Gemini for planning, while noting expected performance shifts due to training data biases in frameworks like Ruby on Rails.
- Y Combinator10 min
How Scaling Laws Will Determine AI's Future | YC Decoded
This event analyzes the evolution of AI scaling laws, tracing the transition from the 2020 Chinchilla optimization that prioritized data volume over model size to the current era where OpenAI's O3 model demonstrates that intelligence scales linearly with test-time reasoning compute. The discussion highlights industry concerns regarding pre-training data plateaus while arguing that the scaling revolution is shifting toward reasoning depth and unexplored modalities like robotics and chemical modeling. These insights collectively outline a new trajectory for Artificial General Intelligence that moves beyond simple architectural expansion to leverage extended inference and cross-domain applications.
- 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 Combinator18 min
Starting A Company? The Key Terms You Should Know | Startup School
This session defines critical startup financial mechanics, including burn rate, profitability thresholds, and the structural differences between angel, seed, and Series A funding rounds. It distinguishes between equity instruments like convertible notes and SAFEs while explaining how metrics such as ARR and Total Addressable Market inform valuation and growth strategy. The discussion concludes by outlining the transition from finding product-market fit to scaling operations, ultimately leading toward an IPO or sustained bootstrapping.
- Jane Street9 min
How to Use OCaml's Coercion Operator
This session explores standard OCaml's subtyping and coercion mechanisms, emphasizing how the `:>` operator enables compile-time type checks without runtime overhead or data reallocation. The discussion details value inclusion principles for polymorphic variants, recursive subtyping relations, and the specific constraints imposed by private type abbreviations to enforce invariants. While confirming that list coercions remain free at runtime, the presentation notes upcoming analysis of variant annotations and object types in future sessions.
- Jane Street8 min
OCaml's New Proposed "include functor" Syntax | OCaml Unboxed
Jane Street is developing an "include functor" feature for the OCaml compiler that allows modules to directly include functor results based on their own preceding definitions. This innovation eliminates the need for cumbersome intermediate wrapper modules and manual reordering, streamlining the implementation of repetitive patterns like reverse array iteration. A working compiler version supporting this syntax is currently available for testing, with plans to upstream the feature to the mainstream OCaml distribution.
- 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.
- Jane Street15 min
Programming with OCaml's Local Mode | OCaml Unboxed
A Jane Street team member demonstrates practical limitations of the OCaml "Locals" region-based memory management system while optimizing the `best_of_prime_widgets` function to avoid heap allocation. To resolve type mismatches where local lists must escape their regions, the implementation employs a custom zero-overhead `global` wrapper type alongside a recursive map function annotated with `exclave` constraints. Although the solution successfully maintains local allocation for list structures while treating elements as global, the speaker identifies these manual workarounds as sharp corners requiring future improvements through mode polymorphism.