We Solved 100 LeetCode Problems — Here’s What Actually Matters for Interviews

At problem 20, you feel a sense of progress. Each new challenge seems to build your confidence. You start to recognize familiar concepts and patterns, and your coding speed improves. But the reality is, interviews don’t reward how many problems you’ve solved. They reward how you approach problems, especially when things aren’t straightforward. This realization is crucial as you move forward, shifting your focus from quantity to quality and depth of understanding. 00:53 By the time you reach problem 50, your confidence kicks in. You start to believe you’re ready for interviews. But then, reality sets in. Interviews are not about the number of problems you’ve solved. They’re about how you think, how you communicate, and how you handle unexpected challenges. This shift in perspective is what separates successful candidates from the rest. 01:12 One of the biggest lessons is that patterns beat problem count. At first, every problem feels new—arrays, trees, graphs all seem intimidating. But soon, you realize that problems repeat. Not the exact question, but the underlying pattern. Recognizing patterns like two pointers, sliding window, binary search, DFS, and BFS is key. Instead of asking if you’ve solved a problem before, start asking what pattern is hiding within it. This mindset unlocks dozens of problems and shows interviewers your true understanding. 01:39 Let’s look at a classic example: the sliding window technique. This approach is used to solve problems involving subarrays or substrings. By maintaining a window and adjusting its size based on certain conditions, you can efficiently solve many problems. Understanding this pattern allows you to tackle variations and impress interviewers with your depth of knowledge. It’s not about memorizing solutions, but about mastering the underlying concepts. 02:01 Recognizing patterns is a game-changer. Once you understand the core ideas behind common techniques, you can apply them to a wide range of problems. Interviews love patterns because they demonstrate your ability to generalize and adapt. This approach shows that you’re not just solving individual problems, but building a toolkit for tackling new challenges. 02:19 Speed feels impressive, but clarity gets offers. Early on, you might rush to code quickly, hoping to impress interviewers. However, this often backfires. Interviewers are not racing you—they’re watching how you think. A slow, clear solution is always better than a fast, messy one. Focus on explaining your approach, breaking the problem into steps, and discussing trade-offs before you start coding.