
Outliers: The Story of Success
Malcolm Gladwell
4.7 on Amazon
3 HN comments

A Guide to the Good Life: The Ancient Art of Stoic Joy
William B. Irvine
4.6 on Amazon
3 HN comments

Waking Up: A Guide to Spirituality Without Religion
Sam Harris and Simon & Schuster Audio
4.4 on Amazon
3 HN comments

Indistractable: How to Control Your Attention and Choose Your Life
Nir Eyal, Julie Li, et al.
4.6 on Amazon
3 HN comments

The Coaching Habit: Say Less, Ask More & Change the Way You Lead Forever
Michael Bungay Stanier
4.6 on Amazon
2 HN comments

Influence: The Psychology of Persuasion, Revised Edition
Robert B. Cialdini
4.6 on Amazon
2 HN comments

Emotional Intelligence 2.0
Travis Bradberry , Jean Greaves , et al.
4.5 on Amazon
2 HN comments

Think and Grow Rich: The Landmark Bestseller Now Revised and Updated for the 21st Century (Think and Grow Rich Series)
Napoleon Hill and Arthur R. Pell
4.7 on Amazon
2 HN comments

12 Rules for Life: An Antidote to Chaos
Jordan B. Peterson, Norman Doidge MD - foreword, et al.
4.7 on Amazon
2 HN comments

The 48 Laws of Power
Robert Greene
4.7 on Amazon
2 HN comments

The Power of Now: A Guide to Spiritual Enlightenment
Eckhart Tolle
4.7 on Amazon
2 HN comments

Be Here Now
Ram Dass
4.7 on Amazon
2 HN comments

Surrounded by Idiots
Thomas Erikson
4.5 on Amazon
2 HN comments

The Way of Zen
Alan Watts
4.7 on Amazon
2 HN comments

Drive: The Surprising Truth About What Motivates Us
Daniel H. Pink
4.5 on Amazon
2 HN comments
allie1onApr 20, 2021
What I love is spaced repetition of the highlights. I don't do it time based though. I do it based on subject, and this gets a lot more powerful when it's more than one book on a subject.
For example - go through my highlights on Influence (Chialdini), Thinking Fast and Slow, Poor Charlie's Almanac, and think about how they complement each other.
Seeing the same subject from multiple points of view, sometimes conflicting, other times corroborating each other is very helpful to build a more wholesome base of knowledge.
wenconJune 25, 2021
* Designing Data Intensive Applications (M Kleppmann): Provided a first-principles approach for thinking about the design of modern large-scale data infrastructure. It's not just about assembling different technologies -- there are principles behind how data moves and transforms that transcend current technology, and DDIA is an articulation of those principles. After reading this, I began to notice general patterns in data infrastructure, which helped me quickly grasp how new technologies worked. (most are variations on the same principles)
* Introduction to Statistical Learning (James et al) and Applied Predictive Modeling (Kuhn et al). These two books gave me a grand sweep of predictive modeling methods pre-deep learning, methods which continue to be useful and applicable to a wider variety of problem contexts than AI/Deep Learning. (neural networks aren't appropriate for huge classes of problems)
* High Output Management (A Grove): oft-recommended book by former Intel CEO Andy Grove on how middle management in large corporations actually works, from promotions to meetings (as a unit of work). This was my guide to interpreting my experiences when I joined a large corporation and boy was it accurate. It gave me a language and a framework for thinking about what was happening around me. I heard this was 1 of 2 books Tobi Luetke read to understand management when he went from being a technical person to CEO of Shopify. (the other book being Cialdini's Influence). Hard Things about Hard Things (B Horowitz) is a different take that is also worth a read to understand the hidden--but intentional--managerial design of a modern tech company. These some of the very few books written by practitioners--rather than management gurus--that I've found to track pretty closely with my own real life experiences.