My Bookshelf

26 books · 20 rated 4+ · 4 didn't land · 4.5 average

Recommended for you

85%
The Smartest Guys in the Room
Bethany McLean and Peter Elkind · 2003
WhyLike Bad Blood and Billion Dollar Whale, this is a deeply reported inside account of a corporate fraud, here Enron. It delivers the granular 'crazy that this is real' detail your notes praise.
AvoidsIt is a narrative rather than a dense finance treatise, so it avoids what made The Intelligent Investor too hard to read.
82%
Money Men: A Hot Startup, a Billion Dollar Fraud, a Fight for the Truth
Dan McCrum · 2022
WhyThis is the Wirecard scandal told by the FT journalist who exposed it. It matches the investigative, detail-heavy thriller feel of Bad Blood, Number Go Up and Billion Dollar Whale.
AvoidsIt is a gripping story rather than theory-heavy market analysis like A Random Walk Down Wall Street.
80%
The Cult of We
Eliot Brown and Maureen Farrell · 2021
WhyWSJ reporters dissect the rise and implosion of WeWork. It is the same startup-hype-meets-reality arc you loved in Bad Blood and Number Go Up.
AvoidsIt is a fast narrative, which steers clear of the slog of Random Walk and The Intelligent Investor.
75%
Super Pumped: The Battle for Uber
Mike Isaac · 2019
WhyThis is a detailed Silicon Valley inside story in the vein of Bad Blood. It covers founder excess and a company culture going off the rails.
AvoidsIt avoids dry, abstract finance writing like The Intelligent Investor.
70%
Lights Out: Pride, Delusion, and the Fall of General Electric
Thomas Gryta and Ted Mann · 2020
WhyWSJ reporting on corporate self-deception at a giant firm, with the same level of detail you valued in Bad Blood and Billion Dollar Whale.
AvoidsIt is accessible journalism, not the dense investment theory of The Intelligent Investor.
72%
Den of Thieves
James B. Stewart · 1601
WhyA Pulitzer-winning account of the Milken and Boesky insider-trading ring. It brings Wall Street fraud storytelling like Billion Dollar Whale to the 1980s.
AvoidsIt is told as a story with characters rather than as dry market analysis like A Random Walk Down Wall Street.
80%
Fundamentals of Data Visualization
Claus O. Wilke · 2019
WhyThe author built several ggplot2 extensions, and the book teaches principled chart design. It extends what you loved about ggplot2 and R for Data Science into general design principles.
AvoidsIt is concrete and example-driven, not high-level and light on substance like AI Engineering.
75%
Storytelling with Data
Cole Nussbaumer Knaflic · 2015
WhyThis bridges your data-visualization favorites (ggplot2, R for Data Science) with your interest in clear communication from Writing That Works and The Elements of Style.
AvoidsIt is short and practical, avoiding the sprawling-handbook feel that made LLM Engineer's Handbook not stick.
72%
Database Internals
Alex Petrov · 2019
WhyThis goes deeper into storage engines and distributed consensus. It builds directly on the technical depth you loved in Designing Data-Intensive Applications.
AvoidsIt offers deep technical detail rather than the surface-level overview you found lacking in AI Engineering.
70%
Hands-On Large Language Models
Jay Alammar and Maarten Grootendorst · 2024
WhyIts visual, intuition-first explanations with code continue the path of Natural Language Processing with Transformers and Build a Large Language Model (From Scratch).
AvoidsIt stays focused and well-illustrated rather than sprawling like LLM Engineer's Handbook or Generative Deep Learning.
62%
Deep Learning with Python
François Chollet · 2017
WhyThis is a clear, principled walk through deep learning by the Keras creator. It echoes the library-design thinking you admired in ggplot2 and the right-level detail of Raschka's book.
AvoidsIt is more readable and structured than Generative Deep Learning, which lost you.
72%
Calling Bullshit
Carl T. Bergstrom and Jevin D. West · 2020
WhyIt teaches how to spot misleading charts and statistics. That combines the critical thinking of Factfulness with the visualization literacy of ggplot2.
AvoidsIt is accessible and example-led, avoiding the density that stalled A Random Walk Down Wall Street.
65%
How the World Really Works
Vaclav Smil · 2022
WhyNumbers-first explanations of energy, food and materials. It offers the same 'changed my perspective' experience as Factfulness and The China Study.
AvoidsIt is concise and focused rather than sprawling theory.
68%
The Psychology of Money
Morgan Housel · 2020
WhyShort, intuitive essays on money behavior that complement the simple-investing philosophy you loved in Bogle, JL Collins and the Bogleheads books.
AvoidsIt is extremely easy to read, the opposite of The Intelligent Investor and A Random Walk Down Wall Street.
72%
The Man Who Solved the Market
Gregory Zuckerman · 2019
WhyThe story of Jim Simons and Renaissance Technologies. It sits where your data and ML interests meet the finance narratives of Number Go Up.
AvoidsIt is narrative journalism rather than dense investing theory like A Random Walk Down Wall Street.
75%
Chip War
Chris Miller · 2022
WhyA detailed history of semiconductors that blends the big-history sweep of The Rise and Fall of the Third Reich with the technology storytelling of Bad Blood. It is also relevant to your AI hardware interests.
AvoidsIt reads like a story rather than a technical slog like Generative Deep Learning.
68%
Flash Boys
Michael Lewis · 2014
WhyAn inside story of high-frequency trading that combines Wall Street exposé, as in Billion Dollar Whale, with deep tech infrastructure detail, as in Designing Data-Intensive Applications.
AvoidsIt is fast-paced storytelling, unlike the hard-to-read Intelligent Investor.
65%
The Making of the Atomic Bomb
Richard Rhodes · 1986
WhyThis is a long but riveting, meticulously detailed history of WWII-era science. It is ideal if you loved the completeness of The Rise and Fall of the Third Reich and the length of Atlas Shrugged.
AvoidsIt is long, but driven by narrative rather than abstract theory, unlike the dense Intelligent Investor.
60%
The Moon Is a Harsh Mistress
Robert A. Heinlein · 1965
WhyLibertarian, individualist science fiction about self-reliance and revolution. It extends the ideas you loved in Atlas Shrugged without being another Rand book.
AvoidsIt is a page-turning plot rather than a dense treatise, avoiding what made Random Walk hard to finish.

Library

Atlas Shrugged
Ayn Rand · 1957
★★★★★
Long but definitely worth reading
Bad Blood: Secrets and Lies in a Silicon Valley Startup
John Carreyrou · 2018
★★★★★
Amazing story-telling and level of detail on crazy startup
Billion Dollar Whale
Tom Wright · 2018
★★★★★
Crazy this is a real life, loved learning details about Jho Low
Build a Large Language Model (From Scratch)
Sebastian Raschka · 2024
★★★★★
Great book, really helpful in getting in depth understanding of building LLM. Right level of technical details
Designing Data-Intensive Applications
Martin Kleppmann · 2017
★★★★★
Extremely useful book to get more in depth understanding of how to build applications, how database works, etc. Loved the level of technical detail in the book
Factfulness
Hans Rosling · 2018
★★★★★
changed my perspective on many things!
Natural Language Processing with Transformers
Lewis Tunstall · 2022
★★★★★
Really helpful introduction to transformers and hugging face libraries.
Number Go Up: Inside Crypto's Wild Rise and Staggering Fall
Zeke Faux · 2023
★★★★★
great book on SBF, lots of detail & wild to read
R for Data Science
Hadley Wickham · 2017
★★★★★
Great fundamentals to data analytics & visualization. Not specific to R
The China Study
T. Colin Campbell · 2004
★★★★★
Very insightful studies on red meat consumption
The Little Book of Common Sense Investing
John C. Bogle · 2007
★★★★★
totally changed the way I think about investing. Everything resonated with me
I wrote about this →
The Rise and Fall of the Third Reich
William L. Shirer · 1960
★★★★★
Amazing book, great to learn the complete history of WW2
ggplot2: Elegant Graphics for Data Analysis
Hadley Wickham · 2009
★★★★★
Amazing book on how to design library that's principled, intutive for the users
Generative AI with LangChain
Ben Auffarth · 2023
★★★★★
Good intro to LangChain & LangGraph frameworks
Machine Learning System Design Interview
Ali Aminian · 2023
★★★★★
Was very helpful back when I was prepping for interviews
The Bogleheads' Guide to Investing
Taylor Larimore · 2006
★★★★★
Simple, intuitive, and easy to read book!
I wrote about this →
The Bogleheads' Guide to the Three-Fund Portfolio
Taylor Larimore · 2018
★★★★★
Good book, nothing super revolutionary.
I wrote about this →
The Elements of Style
William Strunk · 1920
★★★★★
very helpful
I wrote about this →
The Simple Path to Wealth
JL Collins · 2000
★★★★★
Easy to read book. Generally confirmed stuff that I knew already but still useful
Writing That Works
Kenneth Roman · 1981
★★★★★
Helpful, especially as English as second language learner
AI Engineering
Chip Huyen · 2024
★★★★★
Content was good, not a lot of details though. Wish it was more technical
The Intelligent Investor
Benjamin Graham · 1949
★★★★★
Found it way too hard to read
A Random Walk Down Wall Street
Burton Malkiel · 1973
Read few chapters, found it hard to finish
did not finish
Build a Reasoning Model (From Scratch)
Sebastian Raschka
Generative Deep Learning
David Foster · 2022
got started but never finished
did not finish
LLM Engineer's Handbook
Paul Iusztin · 2024
tried reading it, after few chapters couldn't finish it. Didn't stick
did not finish