A serious interview-preparation book for learners who want to understand the move before they make it.
Every Blind 75 problem is unpacked from first principles: the observation, the data structure, the dry run, the implementation, and the explanation you would give across the interview table.
This is a structured learning system designed to make recurring interview patterns feel familiar.
| 01. See the idea | 02. Watch it work | 03. Write it confidently |
|---|---|---|
| Start with the problem in plain English, then move from brute force to the key observation. | Follow visual dry runs for pointers, recursion, graph traversals, tries, heaps, and DP states. | Finish with complete C++, complexity analysis, edge cases, and an interview-ready explanation. |
Pattern recognition → visual intuition → confident implementation
Each of the 75 Blind 75 lessons is built to be studied, not skimmed:
- Plain-English problem breakdowns that clarify what the question is asking.
- Pattern-first reasoning that develops the key insight from a simpler approach.
- Visual dry runs for pointer movement, recursion, graphs, dynamic programming, tries, heaps, and more.
- Pseudocode and complete C++ solutions.
- Code walkthroughs focused on the important decisions and state changes.
- Correctness intuition, time and space complexity, edge cases, common mistakes, and interview follow-ups.
- A dedicated STL guide, visual data-structure reference, and practical interview reference.
| Foundations | Core techniques | Advanced building blocks |
|---|---|---|
| Arrays and hashing | Two pointers and sliding windows | Tries and backtracking |
| Strings and stacks | Binary search and intervals | Graph traversal and topological sorting |
| Linked lists and trees | Heaps and greedy algorithms | Dynamic programming and bit manipulation |
The book moves from foundational questions such as Two Sum, Valid Parentheses, and Reverse Linked List to interview-defining problems including 3Sum, Minimum Window Substring, Word Search II, Alien Dictionary, and Binary Tree Maximum Path Sum.
Problems are grouped by the data structure or algorithmic pattern they teach, creating a sequence in which later lessons reinforce earlier ideas.
The complete typeset edition is included in this repository.
The main LaTeX source lives in main.tex, with supporting lessons in chapters/. Build the complete book with a LaTeX distribution that includes TikZ and tcolorbox:
mkdir -p pdf
latexmk -pdf -outdir=pdf -jobname=Cracking-the-LeetCode-Interview main.texBuild the standalone cover with:
latexmk -pdf cover.tex- Read the prompt before the solution. Give yourself a few minutes to form an instinct.
- Study the reasoning and visuals. Focus on the observation that makes the solution work.
- Trace the code by hand. Use the book's dry runs, then try a fresh example.
- Re-code without looking. Explain the approach, complexity, and edge cases aloud, as you would in an interview.
- Revisit by pattern. The payoff comes from recognizing the same idea in a new disguise.
Blind 75 is the foundation. The goal is to extend the same visual, explanation-led format through NeetCode 150 and beyond, adding lessons that make difficult patterns approachable without diluting the rigor.
If the book helped you, consider starring the repository. It helps more learners discover the project and supports continued work on future lessons.
This is an independently built educational project. Contributions support new lessons, improved visuals, corrections, and expansion beyond Blind 75.
Thank you for supporting thoughtful, accessible interview education.
Want to collaborate, discuss an opportunity, report a problem, or share feedback on the book? Let us talk.
Found a typo, confusing explanation, incorrect result, or visual that could be clearer? Open an issue or submit a pull request. Contributions that improve clarity, visual intuition, accessibility, and correctness are especially welcome.
This is an independent educational project and is not affiliated with or endorsed by LeetCode. LeetCode and associated problem titles are trademarks of their respective owners. They are referenced only to identify the exercises discussed.
Copyright © 2026 Om Tripathi.
- The prose, diagrams, and book design are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). See
LICENSE.md. - The C++ listings and supporting build source are licensed under the MIT License. See
LICENSE-CODE.md.
You may share and adapt the book with appropriate attribution. Contributions and corrections are welcome through issues and pull requests.
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