Hamel Husain, a machine-learning and AI practitioner with experience at GitHub, Airbnb, and DataRobot, now works as an independent AI consultant. His focus on product development and evaluation highlights the practical discipline required to make AI genuinely useful.
David Ulevitch, founder of OpenDNS and EveryDNS and a general partner at Andreessen Horowitz, brings an entrepreneur’s perspective to investing. His journey connects company building, cybersecurity complexity, and the deliberate cultivation of innovation within growing organizations.
Shyam Sankar, Chief Technology Officer of Palantir Technologies, speaks at the intersection of technology and defense. His perspective links innovation with strategy, inviting scrutiny of how consequential technologies are built, directed, and prepared for the future.
Michael Truell frames Cursor as an attempt to make AI foundational to software creation, ultimately replacing code with clearer representations of intent. The operating imperative is continuous product leadership, because traditional moats alone cannot secure that future.
Mitchell Hashimoto, co-founder of HashiCorp and creator of tools including Vagrant, Terraform, and Vault, offers a technical builder’s perspective on the central challenge of designing, coordinating, and sustaining large software projects as their complexity grows.
Linus Lee, a research engineer, programmer, and writer, explores artificial intelligence, human-computer interaction, and tools for thought, asking how new software interfaces can augment human creativity, agency, language, and knowledge work in daily practice.
David Singleton, former CTO of Stripe and previously VP of Engineering at Google, brings an engineering leader’s perspective to hiring and team building, especially the choices that determine who joins, how teams form, and how talent compounds.
Ryo Liu, also credited as Ryo Lu, is Head of Design at Cursor. His design philosophy and AI workflow center on twelve practical rules for using Cursor effectively while avoiding the tangled results he calls “AI spaghetti code.”