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

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Destiny: The Official Cookbook

Victoria Rosenthal

4.9 on Amazon

1 HN comments

Extreme Privacy: What It Takes to Disappear

Michael Bazzell

5 on Amazon

1 HN comments

Investing 101: From Stocks and Bonds to ETFs and IPOs, an Essential Primer on Building a Profitable Portfolio (Adams 101)

Michele Cagan CPA

4.6 on Amazon

1 HN comments

Product Roadmaps Relaunched: How to Set Direction while Embracing Uncertainty

C. Todd Lombardo , Bruce McCarthy , et al.

4.5 on Amazon

1 HN comments

They Ask, You Answer: A Revolutionary Approach to Inbound Sales, Content Marketing, and Today's Digital Consumer

Marcus Sheridan

4.8 on Amazon

1 HN comments

Bitcoin Billionaires

Ben Mezrich, Will Damron, et al.

4.5 on Amazon

1 HN comments

Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD

Jeremy Howard and Sylvain Gugger

4.8 on Amazon

1 HN comments

Essential Scrum: A Practical Guide to the Most Popular Agile Process (Addison-Wesley Signature Series (Cohn))

Kenneth Rubin

4.7 on Amazon

1 HN comments

Jackpot: How the Super-Rich Really Live―and How Their Wealth Harms Us All

Michael Mechanic

4.4 on Amazon

1 HN comments

Management Information Systems: Managing the Digital Firm

Kenneth Laudon and Jane Laudon

4.3 on Amazon

1 HN comments

How to DeFi

CoinGecko , Darren Lau , et al.

4.4 on Amazon

1 HN comments

Thank God for Bitcoin: The Creation, Corruption and Redemption of Money

Bitcoin and Bible Group, Jimmy Song , et al.

4.7 on Amazon

1 HN comments

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Steven L. Brunton

4.7 on Amazon

1 HN comments

Ask Your Developer: How to Harness the Power of Software Developers and Win in the 21st Century

Jeff Lawson and Eric Ries

4.6 on Amazon

1 HN comments

Learning Spark: Lightning-Fast Data Analytics

Jules S. Damji , Brooke Wenig, et al.

4.6 on Amazon

1 HN comments

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gregdoesitonJune 10, 2021

I have a theory on why we're seeing so much "bad management" for software engineers: most leaders at workplaces have not been engineers themselves at a company with a great engineering culture (I wrote about what I think this means [1]: it's all the high-growth small and large tech companies we know)

The CEO, and the people under the CEO know and understand traditional, top-down management. Let the people with context and decision power make the big decisions, and pass this downwards. Works with finance, works with marketing, works with IT support, and should work with engineering as well... right?

But it actually doesn't work with software engineers as well as it could. Or with designers. UX researchers. PMs... all these people would produce a magnitude more output when given proper context and autonomy.

A few leaders read about this, and try giving autonomy. These results end up even worse than the status quo, as you can't just make it a free-for-all and expect it works overnight.

And to prove this point: look at companies where the founder had worked at a high-performing company before. Before founding Twilio, Jeff Lawson spent years at Amazon (he was one of the first AWS PMs), and in his book Ask Your Developer, he writes about just how much this experience shaped him, and all the practices he adopted from Amazon.

There's this really weird divide between "forward-looking tech companies"[2] who "get it", and everyone else. Which heavily benefits this first group.

[1] https://blog.pragmaticengineer.com/the-developer-culture-tes...

[2] https://news.ycombinator.com/item?id=25717390

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