Hacker News Books

40,000 HackerNews book recommendations identified using NLP and deep learning

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The Order of Time

Carlo Rovelli, Benedict Cumberbatch, et al.

4.5 on Amazon

1 HN comments

The Circadian Code: Lose Weight, Supercharge Your Energy, and Transform Your Health from Morning to Midnight

Satchin Panda PhD

4.6 on Amazon

1 HN comments

The Shallows: What the Internet Is Doing to Our Brains

Nicholas Carr

4.4 on Amazon

1 HN comments

Beyond: The Astonishing Story of the First Human to Leave Our Planet and Journey into Space

Stephen Walker

4.7 on Amazon

1 HN comments

Superforecasting: The Art and Science of Prediction

Philip E. Tetlock and Dan Gardner

4.4 on Amazon

1 HN comments

The Hidden Spring: A Journey to the Source of Consciousness

Mark Solms

4.6 on Amazon

1 HN comments

The Conversation: How Seeking and Speaking the Truth About Racism Can Radically Transform Individuals and Organizations

Robert Livingston

4.7 on Amazon

1 HN comments

The Art of Statistics: How to Learn from Data

David Spiegelhalter

4.6 on Amazon

1 HN comments

Sea People: The Puzzle of Polynesia

Christina Thompson

4.6 on Amazon

1 HN comments

Chess: 5334 Problems, Combinations and Games

László Polgár and Bruce Pandolfini

4.6 on Amazon

1 HN comments

Elements: A Visual Exploration of Every Known Atom in the Universe

Theodore Gray and Nick Mann

4.8 on Amazon

1 HN comments

The Death of Expertise: The Campaign against Established Knowledge and Why it Matters

Tom Nichols

4.5 on Amazon

1 HN comments

The Gene: An Intimate History

Siddhartha Mukherjee, Dennis Boutsikaris, et al.

4.7 on Amazon

1 HN comments

What the Dog Saw: And Other Adventures

Malcolm Gladwell and Hachette Audio

4.5 on Amazon

1 HN comments

The True Believer: Thoughts on the Nature of Mass Movements (Perennial Classics)

Eric Hoffer

4.7 on Amazon

1 HN comments

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SwizeconAug 3, 2021

Syntopic reading can be really rewarding. For example, once you read Thinking Fast and Slow, and a few of Taleb’s books, suddenly you notice implicit and explicit references in virtually every business book published later than those.

A similar effect can be found with Grit, Fogg’s Behavior Model, Superforecasting, and most Gladwel books.

On the coding side, I’ve only noticed this with Pragmatic Programmer, Clean Code, and maybe Phoenix/Unicorn project. Could I don’t read enough of those or they’re too focused on specific technologies instead of broad ideas … or I get too much of my technical reading from blogs and twitter. Those do get repetitive and you quickly find common patterns, but no titles to refer to.

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