The Ultimate Lifetime Reading Curriculum: A Complete Category & Folder Architecture for 5000+ Books on GitHub

Who this is for: A 23-year-old Indian software engineer who wants to become intellectually elite, build significant wealth, master engineering, communicate excellently, and develop a robust mental-model framework for life — using books as the primary vehicle.

This article answers three questions at once:

What are ALL the categories and subcategories a person like you should read over a lifetime?
How should 5000+ books be structured in a GitHub repository using MDX files — with folders, subfolders, and sub-subfolders?
How should individual book content be defined across index.mdx, analysis.mdx, narration.mdx, and metadata.json?

Part 1 — Why Categorisation Matters More Than Book Lists

Most "reading lists" are popularity contests. They recommend what's trending on Twitter, what Charlie Munger mentioned once, or what sold the most copies. This is the wrong optimisation.

The correct optimisation is:

Knowledge density per hour — does this book give you durable, compounding mental models or just anecdotes?
Interdisciplinary synergy — does this category reinforce your understanding of every other category?
Long-term life outcomes — does mastering this domain make you wealthier, freer, sharper, or more capable of finding happiness for your family?

A well-designed taxonomy forces you to fill the gaps in your thinking you didn't know existed. That is the hidden power of categorisation.

Part 2 — How the World's Best Libraries Classify Books

Before designing your own system, understand what the professionals use:

2.1 The Dewey Decimal System (Public Libraries)

The DDC divides all human knowledge into 10 classes, each with 10 divisions, each with 10 sections — totalling 1000 base categories:

Range	Domain
000–099	Computer science, information & general works
100–199	Philosophy & psychology
200–299	Religion & theology
300–399	Social sciences, law, economics
400–499	Language & linguistics
500–599	Pure sciences (mathematics, physics, biology)
600–699	Applied sciences & technology
700–799	Arts & recreation
800–899	Literature
900–999	History & geography

2.2 The Library of Congress Classification (Academic Libraries)

Large research libraries use alphanumeric codes — QA for mathematics, HG for finance, T for technology — allowing millions of books to be catalogued without collision. This is the model that scales to 5000+ books in a GitHub repository.

2.3 The BISAC System (Publishers & Bookstores)

The Book Industry Standards and Communications subject headings are the industry standard for publishing metadata. Each heading has subcategories:

BUSINESS & ECONOMICS / Investments & Securities / Stocks
COMPUTERS / Software Development & Engineering / General
PSYCHOLOGY / Cognitive Psychology & Cognition

BISAC is the closest model to what we will implement in our GitHub repo using directory slugs and frontmatter metadata.

Part 3 — GitHub Repository: Can It Hold 5000 Books?

Yes — with the right architecture.

GitHub repositories have no practical file-count limit for text files. The constraints are:

Constraint	Limit	Our Strategy
Repo size	5 GB recommended	Text MDX files are tiny (~5–50 KB each)
Single file size	100 MB hard limit	No book file will exceed 1 MB
Files per directory	No hard limit	Use deep hierarchy to keep dirs manageable
Clone performance	Degrades past ~100k files	5000 books × 4 files = 20k files — fine

A repository with 5000 books, each having 4 MDX/JSON files, produces roughly 20,000 files totalling ~200 MB — well within GitHub's sweet spot for performance.

Git LFS is NOT needed for pure text content. Only use LFS if you store high-resolution book cover images or audio narrations (MP3/WAV).

Part 4 — The Complete Folder Architecture

Every book lives in exactly one canonical category folder. The path structure is:

books/
└── {category}/
    └── {subcategory}/
        └── {sub-subcategory}/           ← optional 3rd level
            └── {author-slug}--{title-slug}/
                ├── index.mdx            ← landing page (synopsis, why read)
                ├── analysis.mdx         ← deep analysis, key arguments
                ├── narration.mdx        ← chapter-by-chapter narration
                └── metadata.json        ← structured data for search/filter

4.1 File Roles Explained

`index.mdx` — The Book's Homepage

This is what readers see first. It should answer: What is this book, why does it matter to someone like me, and what will I get from it?

---
title: "The Psychology of Money"
author: "Morgan Housel"
slug: "the-psychology-of-money-morgan-housel"
category: "finance"
subcategory: "behavioral-finance"
sub_subcategory: "wealth-mindset"
isbn: "9780857197689"
published_year: 2020
pages: 256
rating: 5
read_status: "completed"
date_read: "2024-03-15"
difficulty: "beginner"  # beginner | intermediate | advanced
time_to_read_hours: 5
tags:
  - money
  - psychology
  - behavior
  - wealth
  - decision-making
featured: true
---

# The Psychology of Money

## Why Read This Book?

Morgan Housel demonstrates that financial success is less about
mathematical knowledge and more about behavioral discipline.
For a 23-year-old software engineer building wealth in India,
this book reframes money as a tool for freedom, not status.

## Core Premise

Wealth is built through patience, humility, and consistency —
not through intelligence or aggressive risk-taking.

## Who Should Read This

Anyone earning their first ₹10 LPA and unsure what to do with it.
Anyone who has made an irrational financial decision (everyone).

## What You Will Learn

- Why your personal history shapes your risk tolerance
- How "enough" is the most underrated concept in finance
- The difference between being rich and being wealthy
- Why tail events (outliers) drive most of the returns

---

*[→ Deep Analysis](/books/finance/behavioral-finance/wealth-mindset/the-psychology-of-money/analysis)*
*[→ Chapter Narration](/books/finance/behavioral-finance/wealth-mindset/the-psychology-of-money/narration)*

`analysis.mdx` — The Intellectual Dissection

Goes beyond summary. Argues the book's place in the intellectual canon, critiques weak points, connects it to other works.

---
title: "Analysis: The Psychology of Money"
type: "analysis"
parent_book: "the-psychology-of-money-morgan-housel"
---

# Analysis: The Psychology of Money

## Core Arguments Evaluated

### Argument 1: No One Is Crazy
Housel's central thesis is that every financial decision makes sense
given the decision-maker's personal history...

## Connections to Other Books

| Concept | Complementary Book |
|:--------|:-------------------|
| Loss aversion | *Thinking, Fast and Slow* — Kahneman |
| Compounding patience | *Poor Charlie's Almanack* — Munger |
| Wealth vs. Rich | *The Millionaire Next Door* — Stanley |

## Weaknesses & Blind Spots

Housel underestimates the role of structural inequality...

## Verdict

**Essential.** Read before any other finance book.

`narration.mdx` — Chapter-by-Chapter Distillation

Condenses each chapter into its core insight in 100–200 words. Useful for review without re-reading.

---
title: "Narration: The Psychology of Money"
type: "narration"
parent_book: "the-psychology-of-money-morgan-housel"
chapters: 20
---

# Chapter-by-Chapter Narration

## Chapter 1 — No One's Crazy
Every financial decision, no matter how irrational it appears to an
outsider, is logical given the decision-maker's lived experience...

## Chapter 2 — Luck & Risk
Bill Gates went to one of the only high schools in the world with
a computer in 1968. His friend Kent Evans, equally talented, died
in a mountaineering accident before college...

`metadata.json` — Structured Data for Search and Automation

{
  "id": "the-psychology-of-money-morgan-housel",
  "title": "The Psychology of Money",
  "subtitle": "Timeless Lessons on Wealth, Greed, and Happiness",
  "author": {
    "name": "Morgan Housel",
    "slug": "morgan-housel",
    "nationality": "American"
  },
  "category": "finance",
  "subcategory": "behavioral-finance",
  "sub_subcategory": "wealth-mindset",
  "bisac_code": "BUS050020",
  "dewey_decimal": "332.024",
  "isbn_13": "9780857197689",
  "published_year": 2020,
  "publisher": "Harriman House",
  "pages": 256,
  "language": "en",
  "difficulty": "beginner",
  "estimated_read_hours": 5,
  "rating": 5,
  "date_read": "2024-03-15",
  "tags": ["money", "psychology", "behavior", "wealth"],
  "prerequisite_books": [],
  "companion_books": [
    "thinking-fast-and-slow-daniel-kahneman",
    "poor-charlies-almanack-charlie-munger"
  ],
  "where_to_buy": {
    "amazon_in": "https://amzn.in/...",
    "flipkart": "https://flipkart.com/..."
  }
}

Part 5 — The Complete Category Taxonomy

This is the heart of this article. Every category below is designed for one person: a 23-year-old Indian software engineer optimising for wealth, intellectual depth, engineering excellence, and life outcomes.

Each top-level category has its own folder. Each book belongs to exactly one leaf-level category.

CATEGORY 01 — Software Engineering Foundations

The bedrock of your profession. These are not optional.

books/software-engineering/
├── code-quality/
│   ├── clean-code/
│   ├── refactoring/
│   ├── code-complete/
│   └── working-with-legacy-code/
├── software-design/
│   ├── design-patterns/
│   ├── domain-driven-design/
│   ├── clean-architecture/
│   └── philosophy-of-software-design/
├── programming-languages/
│   ├── python/
│   │   ├── fluent-python/
│   │   ├── effective-python/
│   │   ├── python-cookbook/
│   │   └── python-tricks/
│   ├── systems-programming/
│   │   └── code-charles-petzold/
│   └── sicp/
│       └── structure-interpretation-computer-programs/
├── pragmatic-craft/
│   ├── the-pragmatic-programmer/
│   └── programming-pearls/
└── engineering-culture/
    ├── software-engineering-at-google/
    ├── accelerate/
    └── the-mythical-man-month/

Subcategory	Why It Matters
Code Quality	Unreadable code kills productivity and careers
Software Design	Architecture decisions have 10-year consequences
Programming Languages	Python mastery at depth separates seniors from juniors
Pragmatic Craft	Mindset and habits of exceptional engineers
Engineering Culture	How elite teams actually ship software

CATEGORY 02 — Systems Design & Architecture

The domain that gets you to Staff Engineer and beyond.

books/systems-design/
├── distributed-systems/
│   ├── designing-data-intensive-applications/
│   ├── understanding-distributed-systems/
│   ├── designing-distributed-systems/
│   └── database-internals/
├── system-design-interviews/
│   ├── system-design-interview-volume-1/
│   └── system-design-interview-volume-2/
├── software-architecture/
│   ├── fundamentals-of-software-architecture/
│   ├── software-architecture-in-practice/
│   └── clean-architecture/
├── microservices/
│   ├── building-microservices/
│   ├── monolith-to-microservices/
│   └── designing-event-driven-systems/
├── reliability/
│   ├── site-reliability-engineering/
│   ├── release-it/
│   └── the-art-of-scalability/
└── web-performance/
    ├── high-performance-browser-networking/
    └── web-scalability-for-startup-engineers/

CATEGORY 03 — Computer Science Fundamentals

The mathematical bedrock that separates deep engineers from surface-level ones.

books/computer-science/
├── algorithms/
│   ├── introduction-to-algorithms-cormen/
│   ├── algorithm-design-manual-skiena/
│   ├── grokking-algorithms/
│   └── art-of-computer-programming-knuth/
├── operating-systems/
│   ├── operating-systems-three-easy-pieces/
│   ├── modern-operating-systems-tanenbaum/
│   └── linux-kernel-development/
├── networking/
│   ├── computer-networking-top-down-approach/
│   ├── tcp-ip-illustrated/
│   ├── high-performance-browser-networking/
│   └── network-warrior/
├── databases/
│   ├── high-performance-mysql/
│   ├── seven-databases-in-seven-weeks/
│   ├── sql-antipatterns/
│   └── database-internals/
└── computer-architecture/
    └── computer-systems-programmers-perspective/

CATEGORY 04 — Artificial Intelligence & Machine Learning

The defining technology of our era — you must own this domain.

books/artificial-intelligence/
├── foundations/
│   ├── artificial-intelligence-modern-approach/
│   └── mathematics-for-machine-learning/
├── machine-learning/
│   ├── hands-on-machine-learning-geron/
│   ├── pattern-recognition-bishop/
│   ├── practical-statistics-for-data-scientists/
│   └── machine-learning-engineering-burkov/
├── deep-learning/
│   ├── deep-learning-goodfellow/
│   └── deep-learning-with-python-chollet/
├── large-language-models/
│   ├── natural-language-processing-with-transformers/
│   └── build-large-language-model-from-scratch/
└── ml-systems/
    └── designing-machine-learning-systems/

Subcategory	Career Impact
Foundations	Without the math, you can use AI but not build it
Machine Learning	The practical toolkit every ML engineer needs
Deep Learning	Neural networks at the fundamental level
LLMs	The defining architecture of the 2020s and 2030s
ML Systems	How to deploy and maintain AI in production

CATEGORY 05 — Personal Finance & Wealth Building

Your engineering salary is the raw material. This domain is the factory.

books/personal-finance/
├── foundations/
│   ├── richest-man-in-babylon/
│   ├── rich-dad-poor-dad/
│   └── total-money-makeover/
├── financial-independence/
│   ├── your-money-or-your-life/
│   ├── simple-path-to-wealth/
│   └── die-with-zero/
├── automated-wealth/
│   ├── i-will-teach-you-to-be-rich/
│   └── automatic-millionaire/
├── india-specific/
│   ├── coffee-can-investing/
│   └── joys-of-compounding/
└── cash-flow/
    ├── cashflow-quadrant/
    └── profit-first/

CATEGORY 06 — Investing & Capital Markets

Wealth preservation and growth at the asset allocation level.

books/investing/
├── value-investing/
│   ├── intelligent-investor/
│   ├── security-analysis/
│   ├── common-stocks-uncommon-profits/
│   ├── margin-of-safety/
│   └── dhando-investor/
├── warren-buffett/
│   ├── berkshire-hathaway-shareholder-letters/
│   ├── buffett-partnership-letters/
│   ├── essays-of-warren-buffett/
│   ├── warren-buffett-way/
│   └── education-of-a-value-investor/
├── charlie-munger/
│   ├── poor-charlies-almanack/
│   └── seeking-wisdom/
├── index-investing/
│   ├── little-book-common-sense-investing/
│   ├── common-sense-on-mutual-funds/
│   ├── random-walk-down-wall-street/
│   └── investors-manifesto/
├── market-cycles/
│   ├── most-important-thing/
│   └── mastering-the-market-cycle/
├── growth-investing/
│   ├── one-up-on-wall-street/
│   ├── 100-baggers/
│   └── what-works-on-wall-street/
├── behavioral-finance/
│   ├── psychology-of-money/
│   ├── value-investing-behavioral-finance/
│   └── investing-between-the-lines/
├── quant-factor-investing/
│   ├── stocks-for-the-long-run/
│   └── a-random-walk-down-wall-street/
└── venture-capital/
    └── venture-deals/

CATEGORY 07 — Economics & Macroeconomics

Understanding the river your wealth swims in.

books/economics/
├── classical-economics/
│   ├── wealth-of-nations/
│   └── basic-economics/
├── free-market/
│   ├── capitalism-and-freedom/
│   ├── free-to-choose/
│   └── road-to-serfdom/
├── applied-economics/
│   ├── economics-in-one-lesson/
│   ├── undercover-economist/
│   └── freakonomics/
├── institutional-economics/
│   └── why-nations-fail/
└── pop-economics/
    ├── superfreakonomics/
    └── factfulness/

CATEGORY 08 — Psychology & Human Behaviour

All wealth, communication, and influence runs on human psychology.

books/psychology/
├── cognitive-biases/
│   ├── thinking-fast-and-slow/
│   ├── predictably-irrational/
│   ├── mistakes-were-made-but-not-by-me/
│   └── scout-mindset/
├── social-influence/
│   ├── influence-cialdini/
│   ├── laws-of-human-nature/
│   └── pre-suasion/
├── motivation-drive/
│   ├── drive/
│   ├── grit/
│   └── flow/
├── emotional-intelligence/
│   ├── highly-sensitive-person/
│   └── anxiety-phobia-workbook/
├── existential-psychology/
│   ├── mans-search-for-meaning/
│   ├── denial-of-death/
│   └── happiness-hypothesis/
├── social-psychology/
│   ├── righteous-mind/
│   └── culture-of-fear/
└── peak-performance/
    ├── peak-anders-ericsson/
    └── art-of-learning/

CATEGORY 09 — Mental Models & Decision Making

The operating system of an elite mind.

books/mental-models/
├── mental-model-systems/
│   ├── great-mental-models-vol-1/
│   ├── great-mental-models-vol-2/
│   ├── great-mental-models-vol-5/
│   └── algorithms-to-live-by/
├── probabilistic-thinking/
│   ├── thinking-in-bets/
│   ├── superforecasting/
│   └── black-swan/
├── systems-thinking/
│   ├── fooled-by-randomness/
│   ├── antifragile/
│   └── skin-in-the-game/
├── rationality/
│   ├── how-not-to-be-wrong/
│   └── introduction-to-probability/
└── multidisciplinary-wisdom/
    └── seeking-wisdom-bevelin/

Subcategory	What It Builds
Mental Model Systems	A latticework of frameworks for any situation
Probabilistic Thinking	Correct reasoning under uncertainty
Systems Thinking	Seeing second-order effects before they happen
Rationality	Avoiding the expensive cognitive errors
Multidisciplinary Wisdom	Connecting ideas across all human knowledge

CATEGORY 10 — Philosophy & Stoicism

The foundation beneath all your mental models.

books/philosophy/
├── stoicism/
│   ├── meditations-marcus-aurelius/
│   ├── letters-from-a-stoic-seneca/
│   └── daily-stoic/
├── ancient-philosophy/
│   ├── nicomachean-ethics-aristotle/
│   └── republic-plato/
├── modern-philosophy/
│   ├── beyond-good-and-evil-nietzsche/
│   └── thus-spoke-zarathustra/
├── nature-and-self/
│   └── walden-thoreau/
└── existentialism/
    └── mans-search-for-meaning/

CATEGORY 11 — History & Civilisation

History is the largest database of human experiments. Ignore it at your peril.

books/history/
├── world-history/
│   ├── sapiens/
│   ├── guns-germs-and-steel/
│   ├── silk-roads/
│   └── short-history-of-nearly-everything/
├── intellectual-history/
│   ├── lessons-of-history/
│   └── infinite-powers/
├── modern-history/
│   ├── postwar/
│   └── rise-and-fall-of-the-third-reich/
├── civilisational-history/
│   └── destiny-disrupted/
├── biography-history/
│   └── team-of-rivals/
├── future-history/
│   ├── homo-deus/
│   └── factfulness/
└── science-history/
    ├── emperor-of-all-maladies/
    ├── gene/
    └── selfish-gene/

CATEGORY 12 — Business Strategy & Entrepreneurship

Build products, companies, or solo income streams.

books/business-strategy/
├── competitive-strategy/
│   ├── good-strategy-bad-strategy/
│   ├── blue-ocean-strategy/
│   └── positioning/
├── startups/
│   ├── zero-to-one/
│   ├── lean-startup/
│   ├── hard-thing-about-hard-things/
│   └── founders-at-work/
├── entrepreneurship-frameworks/
│   ├── disciplined-entrepreneurship/
│   ├── startup-owners-manual/
│   ├── mom-test/
│   └── traction/
├── product-market-fit/
│   └── crossing-the-chasm/
├── solo-business/
│   ├── company-of-one/
│   └── rework/
└── business-narratives/
    ├── built-to-last/
    └── e-myth-revisited/

CATEGORY 13 — Management & Leadership

Lead without authority, then lead with it.

books/management-leadership/
├── management-fundamentals/
│   ├── high-output-management/
│   ├── effective-executive/
│   └── first-90-days/
├── leadership-philosophy/
│   ├── extreme-ownership/
│   ├── turn-the-ship-around/
│   └── leaders-eat-last/
├── team-dynamics/
│   ├── five-dysfunctions-of-a-team/
│   ├── radical-candor/
│   └── multipliers/
├── feedback-culture/
│   ├── dare-to-lead/
│   └── crucial-conversations/
├── engineering-management/
│   └── staff-engineer/
└── okr-goals/
    └── measure-what-matters/

CATEGORY 14 — Communication & Writing

Your career ceiling is set by how well you communicate, not how well you code.

books/communication/
├── writing-fundamentals/
│   ├── on-writing-well/
│   ├── everybody-writes/
│   └── pyramid-principle/
├── persuasion-rhetoric/
│   ├── thank-you-for-arguing/
│   ├── words-that-work/
│   └── made-to-stick/
├── presentation/
│   ├── presentation-zen/
│   ├── resonate/
│   └── talk-like-ted/
├── negotiation/
│   ├── never-split-the-difference/
│   └── crucial-conversations/
├── interpersonal-skills/
│   ├── how-to-win-friends-influence-people/
│   └── charisma-myth/
└── storytelling/
    ├── storyworthy/
    └── building-a-storybrand/

CATEGORY 15 — Marketing, Copywriting & Influence

How to move markets and minds with words and positioning.

books/marketing-copywriting/
├── advertising-classics/
│   ├── scientific-advertising/
│   ├── ogilvy-on-advertising/
│   └── boron-letters/
├── copywriting/
│   ├── copywriters-handbook/
│   └── everybody-writes/
├── consumer-psychology/
│   ├── influence-cialdini/
│   └── pre-suasion/
└── brand-positioning/
    ├── positioning-al-ries/
    └── blue-ocean-strategy/

CATEGORY 16 — Productivity & Deep Work

Your attention is your most precious capital. Guard it.

books/productivity/
├── deep-work/
│   ├── deep-work-cal-newport/
│   └── digital-minimalism/
├── habit-systems/
│   ├── atomic-habits/
│   ├── the-one-thing/
│   └── essentialism/
├── task-management/
│   ├── getting-things-done/
│   └── eat-that-frog/
├── learning-systems/
│   ├── how-to-take-smart-notes/
│   ├── how-to-read-a-book/
│   └── make-it-stick/
├── meta-learning/
│   ├── ultralearning/
│   ├── learning-how-to-learn/
│   └── range/
└── focus-flow/
    ├── indistractable/
    └── flow/

CATEGORY 17 — Career Development & Engineering Career

Strategy for your 30-year software engineering career.

books/career-development/
├── engineering-career/
│   ├── software-engineers-guidebook/
│   └── staff-engineer/
├── first-90-days/
│   └── the-first-90-days/
├── self-promotion/
│   ├── show-your-work/
│   └── steal-like-an-artist/
├── creativity/
│   ├── originals/
│   └── creative-confidence/
└── resilience/
    ├── mindset-carol-dweck/
    └── war-of-art/

CATEGORY 18 — Mathematics & Quantitative Thinking

The language of every scientific and financial domain.

books/mathematics/
├── mathematical-thinking/
│   ├── how-not-to-be-wrong/
│   └── infinite-powers/
├── probability-statistics/
│   ├── introduction-to-probability/
│   ├── naked-statistics/
│   └── practical-statistics-for-data-scientists/
└── mathematics-for-ai/
    └── mathematics-for-machine-learning/

CATEGORY 19 — Science & Nature

Ground truth. Everything else is commentary.

books/science/
├── biology-evolution/
│   ├── selfish-gene/
│   └── gene/
├── medicine-health/
│   ├── emperor-of-all-maladies/
│   └── why-we-sleep/
└── popular-science/
    ├── short-history-of-nearly-everything/
    └── factfulness/

CATEGORY 20 — Global Perspectives & Immigration

Understanding the world enables you to move strategically within it.

books/global-perspectives/
├── geopolitics/
│   ├── why-nations-fail/
│   ├── guns-germs-and-steel/
│   └── silk-roads/
├── economic-development/
│   └── capitalism-and-freedom/
└── civilisational-understanding/
    ├── destiny-disrupted/
    └── postwar/

Part 6 — The Full Taxonomy at a Glance

#	Top-Level Category	Subcategories	Est. Books
01	Software Engineering Foundations	5	50–80
02	Systems Design & Architecture	6	40–60
03	Computer Science Fundamentals	5	40–60
04	Artificial Intelligence & ML	5	40–60
05	Personal Finance & Wealth Building	5	30–50
06	Investing & Capital Markets	9	80–120
07	Economics & Macroeconomics	5	30–50
08	Psychology & Human Behaviour	7	50–80
09	Mental Models & Decision Making	5	30–50
10	Philosophy & Stoicism	5	30–50
11	History & Civilisation	7	50–80
12	Business Strategy & Entrepreneurship	6	50–80
13	Management & Leadership	6	40–60
14	Communication & Writing	6	40–60
15	Marketing, Copywriting & Influence	4	20–40
16	Productivity & Deep Work	6	40–60
17	Career Development & Engineering	5	20–40
18	Mathematics & Quantitative Thinking	3	20–30
19	Science & Nature	3	20–30
20	Global Perspectives & Immigration	3	20–30
Total	20 categories / 111 subcategories	—	700–1100

For 5000 books, the taxonomy scales by adding more books per subcategory, and by expanding into fiction, biography, poetry, and domain-specific technical references for each engineering specialty.

Part 7 — Why Every Category Earns Its Place

Why Philosophy Before Business?

Most people read business books without philosophy and end up optimising the wrong things. Reading Seneca before reading zero-to-one means you will not sacrifice relationships for revenue milestones you never needed.

Why History Before Investing?

Howard Marks, the legendary investor, says: "the first step to avoiding traps is knowing they exist." History is the only place where every trap is documented with full consequences attached.

Why Communication Before Career Strategy?

The highest-leverage career investment for a software engineer is not learning a new framework — it is learning to write and speak so clearly that people want to fund your ideas. This is documented across every engineering management book ever written.

Why Psychology Before Productivity?

You cannot build good productivity systems without understanding why your own brain resists them. The best productivity book is Thinking, Fast and Slow — and it is not a productivity book.

Part 8 — Scaling from 200 Books to 5000 Books

When you start, you will have ~200 books. As the repository grows, the three-level hierarchy accommodates scale:

Level 1: Category (20 folders)
Level 2: Subcategory (111 folders)
Level 3: Sub-subcategory (~300 folders)
Level 4: Book folder (~5000 folders)
Level 5: Files (4 files per book = ~20,000 files)

At 5000 books, the repository stays manageable because:

No single directory has more than 30–40 book folders thanks to the three-level hierarchy.
Text files compress aggressively — a 50,000-word analysis file is only ~250 KB.
GitHub search and Actions work on text metadata (metadata.json) for filtering by tags, ratings, and read status.

Automation Scripts to Consider

scripts/
├── validate-metadata.js    ← Checks all metadata.json for completeness
├── generate-index.js       ← Auto-builds category index pages
├── check-slugs.js          ← Ensures no duplicate book slugs
└── export-csv.js           ← Exports full catalogue as spreadsheet

Part 9 — Reading Sequence Strategy

Even the best taxonomy is useless without a reading sequence. The optimal reading order for someone with your profile is:

Year 1 — Foundation Layer (Age 23–24)

Start with these, in this order:

How to Read a Book — Adler (meta-skill: reading itself)
Atomic Habits — Clear (building the daily reading habit)
Thinking, Fast and Slow — Kahneman (your cognitive OS)
The Psychology of Money — Housel (financial mindset first)
Deep Work — Newport (protecting your learning time)
The Pragmatic Programmer — Hunt & Thomas (engineering mindset)
Designing Data-Intensive Applications — Kleppmann (systems anchor)
The Intelligent Investor — Graham (investing foundation)
Sapiens — Harari (civilisational context)
Poor Charlie's Almanack — Munger (multidisciplinary wisdom)

Year 2 — Depth Layer (Age 24–25)

Move into every category's intermediate books. You now have the mental scaffolding to absorb dense ideas.

Year 3+ — Advanced & Specialised (Age 25+)

Primary sources. Academic texts. Books that require the previous 200 as prerequisites.

Part 10 — Conclusion: The Compounding Library

Your book collection is a compounding asset — exactly like a stock portfolio. The first 100 books give you frameworks. The next 400 give you applications of those frameworks. The next 1000 reveal patterns across domains you could not see before. By book 5000, you will have built something no university can give you: a private, personalised intellectual infrastructure assembled specifically for your goals, your context, and your era.

The GitHub repository is just the structure. The reading is the compounding. Start today.

This curriculum is maintained at blog.oriz.in. Each book entry is a living document, updated as understanding deepens.