Lessons from Noam Lovinsky

Noam Lovinsky, a product executive across YouTube, Facebook, Thumbtack, Grammarly, and Superhuman, grounds large-scale operations and AI-native software in product management’s daily realities, from early experiments and search algorithms to the design of growing engineering organizations.

Lessons from Niraj Shah

Niraj Shah, Wayfair’s co-founder, brings a rigorously operational lens to e-commerce, pairing lessons on bootstrapping and logistics with a provocative defense of intense work cultures and practical insight into sustaining strong, enduring founder partnerships.

Lessons from Nico Wittenborn

Nico Wittenborn, founder of venture firm Adjacent, applies Stuart Kauffman’s “adjacent possible” theory to early consumer investing, seeking new behaviors enabled by technology while examining solo general partnership structures, mobile apps, and hardware subscriptions.

Lessons from Nico Laqua

Nico Laqua, co-founder and CEO of Corgi, builds AI-native insurance for technology startups, joining automated commercial underwriting with lessons from computational biology and gaming, relentless startup velocity, and a lasting rejection of corporate comfort.

Lessons from Nick Frosst

Nick Frosst, a computer scientist and Cohere co-founder, examines the limits of current AI architectures, the business value of data sovereignty, and why practical enterprise language tools matter more to him than pursuing artificial general intelligence.

Lessons from Nicholas Thompson

Nicholas Thompson, CEO of The Atlantic and former Wired editor-in-chief, connects journalism’s future and artificial intelligence with the physical discipline of leadership, informed by his stewardship of a historic magazine’s financial turnaround under pressure.

Lessons from Nabeel Qureshi

Nabeel Qureshi, a Pakistani-American author and Christian apologist, explored religious evidence, the cultural costs of converting from Ahmadiyya Islam, and an approach to faith tested by terminal cancer in Seeking Allah, Finding Jesus and beyond.

Lessons from Molly White

Molly White, a software engineer, Wikipedia administrator, and technology researcher, documents cryptocurrency failures and tests industry promises against real consequences, examining financial speculation, lobbying, platform decay, and the fight to preserve the open web.

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