LeetCode Two Sum Explained | The Hash Map Trick | TypeScript

Can you solve the famous LeetCode Two Sum problem efficiently? 🚀 In this video, I walk through *LeetCode #1—Two Sum* and explain how to go from the simple brute-force approach to an optimized **Hash Map solution in TypeScript**. You'll learn: 🧠 How to think about the Two Sum problem 🐌 Why the brute-force solution is O(n²) ⚡ How a Hash Map reduces the time complexity to O(n) 🔑 How to use the "complement" idea: `target - current` 📦 How JavaScript/TypeScript ``works ⏱️ Time & space complexity 💻 Clean TypeScript implementation This is one of the most important beginner LeetCode problems because it teaches a pattern you'll see again and again in coding interviews: **trade extra memory for faster lookup**. 🔗 Problem: https://leetcode.com/problems/two-sum/ If you're learning **data structures & algorithms, TypeScript, or JavaScript, or preparing for coding interviews**, this is a great problem to master. 👍 Like the video 💬 Comment your solution 🔔 Subscribe for more LeetCode & coding interview problems! #LeetCode #TwoSum #TypeScript #JavaScript #HashMap #DataStructures #Algorithms #CodingInterview #LeetCodeSolutions #Programming #DSA #CodingInterviewPrep #SoftwareEngineering