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that entire industries become loss leaders (“features”) to differentiate and protect the antimatter.
Scott Galloway • Post Corona
that, contrary to standard belief, the market shares of many technology companies could be predicted with great accuracy, even if the underlying changes in technology changed frequently.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
We learn who we are in practice, not in theory.
David Epstein • Range: Why Generalists Triumph in a Specialized World
Gibson Biddle, former VP of Product Management at Netflix, called this approach part of their “DHM model”, which stands for Delighting customers in Hard-to-copy, Margin-enhancing ways.
David Mannheim • The Person in Personalisation: The Story Of How Marketing's Most Treasured Possession Became Anything but Personal
Why the Future Shocks Us
Nate Silver • The Signal and the Noise: Why So Many Predictions Fail-but Some Don't
the future won’t be employees of large organizations, but self-sufficient “artisans.”6
Daniel H Pink • To Sell Is Human
Amazon Aggregators: Breakdown Research
joincolossus.comHit Makers: The Science of Popularity in an Age of Distraction
Derek Thompson • 9 highlights
amazon.com