Profile 7 min read

Lessons from Gaurav Misra

Gaurav Misra, co-founder and CEO of AI video platform Mirage, runs a weekly cycle for shipping marketable features while intentionally accepting technical debt. His operating model shows how startups can outpace incumbents by cutting scope and testing directly with users.
Profile 7 min read

Lessons from Fiona Fung

Fiona Fung is an engineering leader whose work spans Anthropic, Meta, and Microsoft, including teams behind Claude Code and Cowork. Her observations examine how AI-generated code shifts development bottlenecks, team management, and career growth.
Profile 8 min read

Lessons from Eric Simons

Eric Simons is the founder and CEO of StackBlitz, behind WebContainers and Bolt.new. From bootstrapping an early startup while secretly living at AOL headquarters, his path illuminates browser-based computing, AI-driven software, and the resilience required to build a company.
Profile 8 min read

Lessons from Eilon Reshef

Eilon Reshef, co-founder and CPO of Gong, builds revenue intelligence software around autonomous product pods and the end-user’s needs before management’s. His frameworks explore product development, enterprise SaaS scaling, and clear-eyed navigation of AI hype.
Profile 3 min read

Lessons from Dmitry Zlokazov

Dmitry Zlokazov, Revolut’s Global Head of Product, manages product owners through a “local CEO” structure that grants them full authority over their verticals. His methods expose the hiring, daily execution, and quality controls required for concurrent product work at scale.
Profile 7 min read

Lessons from Dhanji R. Prasanna

Dhanji R. Prasanna, CTO of Block and author of Dependency Injection, prioritizes shipping practical software over pristine architecture. His arguments probe modern software design, AI agents, and the crucial distinction between code quality and product success.
Profile 6 min read

Lessons from Daniel Lereya

Daniel Lereya, monday.com’s Chief Product and Technology Officer, builds high-velocity engineering cultures through radical transparency, timeboxed execution traps, and agentic AI in daily workflows, showing how product and R&D organizations can preserve speed while scaling.
Profile 8 min read

Lessons from Dan Hockenmaier

Dan Hockenmaier builds and scales internet marketplaces, translating business mechanics into practical growth models. His frameworks ask how retention and structural advantages can reveal whether a startup is built to last over time.

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