Topic

Investing

Investing lessons, market structure, capital allocation, venture capital, public markets, and investor profiles.

Lessons from Charlie Munger

Charlie Munger was Berkshire Hathaway’s vice-chairman and an investor-philosopher of rationality who built a latticework of mental models for worldly wisdom, treating objective truth and the systematic avoidance of human folly as lifelong disciplines for clear judgment.

Lessons from Howard Marks

Howard Marks, co-founder of Oaktree Capital Management, is a value investor distinguished by his attention to risk, market cycles, and crowd psychology, offering a disciplined way to navigate the financial market’s recurring emotional extremes.

Lessons from Bill Ackman

Bill Ackman, founder and CEO of Pershing Square Capital Management, is an activist investor known for high-conviction bets and corporate change, with major wins and public battles sharpening his pursuit of businesses built for exceptional durability.

Lessons from Mitchell Green

Mitchell Green, founder and managing partner of Lead Edge Capital, applies a “Moneyball” approach to growth equity, using an extensive operator-LP network to uncover undervalued companies beyond the venture capital industry’s traditional geographic centers.

Lessons from Bucky Moore

Bucky Moore, a partner at Lightspeed Venture Partners and formerly Kleiner Perkins, invests in early-stage artificial intelligence, infrastructure, and cybersecurity, examining the transition from cloud-native systems to a new generation of AI-native software companies.

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.

Lessons from Matt Turck

Matt Turck is a FirstMark Capital general partner known for the MAD Landscape and Data Driven NYC, connecting deep technical infrastructure with venture strategy to offer a long-range view of how data and artificial intelligence continue to evolve.

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