If you’ve ever stared at a mountain of LeetCode problems, picked one at random, and hoped it would somehow help you crush your next technical interview, you’re not alone.
But here's the truth: grinding LeetCode without structure often leads to shallow learning, burnout, and little pattern recognition. Meanwhile, those who use curated sets like Blind 75 questions tend to progress faster, build stronger intuition, and perform better in real interviews.
In this blog, we’ll explore why Blind 75 questions give you an edge over random practice—and how structure dramatically improves learning efficiency, retention, and confidence.
Practicing randomly selected problems might feel productive, but it has major flaws:
No pattern reinforcement: Without repeated exposure to similar problem types, it’s harder to recognize common patterns like sliding window, recursion, or two-pointer techniques.
No progress tracking: You don’t know if you’re covering all the key topics companies actually test, which leads to knowledge gaps.
Mental fatigue: Constantly solving unfamiliar problem types increases decision fatigue and slows you down. The lack of momentum makes it harder to stay motivated.
What feels like variety is often just chaos, and chaos is hard to build mastery on.
Blind 75 is a curated list of the most common and high-impact coding interview problems. But more importantly, it’s structured in a way that:
Covers core topics that come up in real interviews across top tech companies.
Prioritizes patterns over difficulty, focusing on long-term skills rather than brute-force challenges.
Encourages depth of understanding through revisiting and reflection.
Rather than bouncing between string manipulation and complex tree problems randomly, you get a learning path that builds intuition gradually, in a way that mirrors how interviews are designed.
One of the key advantages of solving Blind 75 questions is the repetition of patterns across related problems, which enhances retention.
For example:
Solving several sliding window problems in a row cements how and when to use the pattern effectively.
Working through multiple recursion or DP problems strengthens your understanding of base cases, memoization, and state transitions.
This kind of reinforcement is backed by learning science: structured exposure + active recall = deeper understanding and long-term retention.
Technical interviews are more than solving problems. You have to:
Understand the prompt
Plan a solution while thinking aloud
Communicate your approach clearly
Write clean, readable code
Debug and test in real time under pressure
Blind 75 gives you enough repetitions in each problem type to improve not just coding, but full interview execution. You develop internal timers and instincts that help you pace yourself within the 45-minute interview window.
Each Blind 75 problem acts like a building block in a larger system of knowledge:
Arrays lead to two-pointer problems that teach you how to minimize time complexity.
Two-pointers lead to sliding window problems that demonstrate memory efficiency.
Trees lead into recursion, which forms the basis of dynamic programming.
Graph problems introduce traversal patterns that appear in real-world architectures.
This intentional sequencing leads to compounding benefits. You’re not just solving problems—you’re developing a framework of thinking.
Even if you customize the problem list, the core principles remain:
Categorize by topic – Arrays, Trees, Graphs, Dynamic Programming, etc.
Solve in batches – Tackle 3–5 problems per topic to reinforce patterns before switching.
Track patterns – Maintain a log of techniques used and which problems helped reinforce them.
Revisit regularly – Reattempt difficult problems after a few days to test your memory and build confidence.
Structure isn’t rigid—it’s flexible, and most importantly, it's intentional.
Meet Alex and Jamie.
Alex picks random problems every day. Some hard, some easy. They never revisit problems or track progress.
Jamie uses Blind 75, solves problems in logical categories, and sets aside weekly time for review.
Three weeks later:
Alex has solved more problems in total, but struggles with new variations.
Jamie has solved fewer problems but demonstrates faster recall, clearer thought process, and better results in mock interviews.
Structured learning doesn’t always look like speed, but it builds lasting clarity and consistency.
The true power of Blind 75 questions comes when you treat them as prompts to reflect, not just puzzles to solve. For each problem:
Could you recognize the underlying pattern or transformation?
How would you explain the solution to a peer or interviewer?
How would the solution need to change with additional constraints (e.g., memory limits, streaming input)?
Reflection is where mastery happens. The best candidates are the ones who think beyond correctness.
Every strong interview candidate has a story—a structured prep strategy, a reasoned approach, a set of tools they rely on. Blind 75 helps you build that narrative with consistency.
It shows interviewers that you:
Prepared deliberately rather than randomly
Recognize common coding interview patterns and explain them well
Understand trade-offs between brute force and optimized solutions
This makes you not just a coder, but a thoughtful engineer who can explain their reasoning clearly.
Grokking the Coding Interview Patterns
With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. Yet with a strategic approach, coding interview prep doesn’t have to take more than a few weeks. Stop drilling endless sets of practice problems, and prepare more efficiently by learning coding interview patterns. This course teaches you the underlying patterns behind common coding interview questions. By learning these essential patterns, you will be able to unpack and answer any problem the right way — just by assessing the problem statement. This approach was created by FAANG hiring managers to help you prepare for the typical rounds of interviews at major tech companies like Apple, Google, Meta, Microsoft, and Amazon. Before long, you will have the skills you need to unlock even the most challenging questions, grok the coding interview, and level up your career with confidence. This course is also available in JavaScript, Python, Go, and C++ — with more coming soon!
LeetCode grinding without focus leads to a loss of motivation and energy. You hit walls, don’t know what to improve, and start doubting your abilities.
Blind 75 limits the problem space so you can:
See clear progress
Learn from mistakes in context
Regain confidence through small, focused wins
Focused practice isn’t just more efficient—it’s also more sustainable.
Most tech companies don’t care if you’ve solved 1,000 LeetCode problems—they care whether you can solve the right kind of problems under pressure.
Blind 75 maps directly to the recurring patterns seen in FAANG and top-tier interviews:
Recursion and dynamic programming
Graph traversals and tree operations
Hashing and frequency counting
Sliding windows and greedy logic
It’s prep that reflects reality, not just reputation.
Structured problem-solving gives you language and mental models:
"This is a two-pointer problem on a sorted array."
"This tree recursion can be optimized with memoization."
“This DP solution has overlapping subproblems and optimal substructure.”
That vocabulary becomes confidence, and confidence under pressure is the final differentiator in high-stakes interviews.
Random problem solving feels productive, but structure leads to mastery.
Blind 75 questions aren’t just a list—they’re a system. They help you:
Focus your effort on what matters
Build real-world pattern recognition
Develop consistency, clarity, and long-term momentum
If you’re tired of aimless grinding and want to train like someone aiming actually to pass interviews, it’s time to switch from scattered practice to strategic progression.
Start smart. Start structured. Start with Blind 75.
Grokking the Blind 75 Problems
Why focus solely on solving the individual Blind 75 questions when gaining insight into the underlying patterns allows you to develop a comprehensive problem-solving framework? Acquire the transformative skill of unpacking and answering 2800+ LeetCode style questions the right way just by assessing the problem statement. This ingenious approach, developed by hiring managers at MAANG, prepares you to excel in the interview rounds of tech giants like Apple, Google, Meta, Netflix, and Amazon. This condensed set of coding interview questions ensures coverage of 23 coding patterns, providing you with the confidence to excel in your interview without the need for endless practice problems. Each module in the path presents a cohesive set of related coding patterns, enabling you to prepare with a focused and methodical approach. This path is also available in JavaScript, C++, Java, and Go, with more coming soon!
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