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Lessons from Katie Haun

Katie Haun is a law, technology, and venture capital pioneer whose path from federal prosecution to founding Haun Ventures offers a distinctive lens on digital ownership, regulatory clarity, decentralized systems, and disciplined leadership amid high-stakes innovation.
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Lessons from Nick Chater

Nick Chater is a behavioural science professor and cognitive scientist who challenges the idea of deep-seated beliefs and desires, proposing that the human mind is instead a brilliant, shallow improviser that constructs meaning in the moment.
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Lessons from Thorsten Ball

Thorsten Ball is a software engineer, author, and educator who demystifies programming-language internals through his “Monkey” series, while championing recreational programming as a practice grounded in simplicity, fearlessness, deep technical curiosity, and a romantic spirit.
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Lessons from Jacob Warwick

Jacob Warwick is an executive career coach and ThinkWarwick founder who applies go-to-market principles from strategic B2B marketing to professional growth, reframing career advancement as a disciplined exercise in positioning, audience understanding, and communicating executive value.
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Lessons from Dan Shipper

Dan Shipper is an entrepreneur, writer, and CEO of Every who examines the intersection of artificial intelligence and productivity, treating technology as both a mirror for the human psyche and a catalyst for new forms of intellectual work.
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Lessons from David Placek

David Placek, founder of Lexicon Branding and creator of names including BlackBerry, Pentium, and Sonos, combines cognitive linguistics with market strategy to show how disciplined naming can help brands become distinctive and cut through global noise.
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Lessons from Lyndon B. Johnson

Lyndon B. Johnson was a titan of American politics whose presidency joined sweeping social-reform ambitions with mastery of legislative power, showing how strategic influence can translate political will into measures such as the Great Society and Civil Rights Act.
Digest 6 min read

Daily Digest — 2026-03-17

AI agents can multiply code output while quietly increasing outages, regressions, and technical debt. Sustainable velocity therefore depends on senior architectural judgment, verification skills, and product roles designed around instrumenting agentic loops rather than managing rituals.

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