DSA Trainer

DSA & LLD courses that teach the thinking, not the answer.

Tech

Online Learning

Career

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Hey Product Hunt 👋 I built DSA Trainer because I kept running into the same problem while studying data structures and algorithms: I had LeetCode open on one monitor and ChatGPT on the other. I wasn’t asking for answers. I was constantly trying to get ChatGPT to explain the concept, give me hints, walk me through the pattern, and help me understand why the optimal approach worked without just dumping the solution. I ended up building DSA Trainer that follows the learning path I was fighting with stateless AI sessions to achieve. The DSA Course starts from the foundations of each data structure -> drills you on it -> tests you on it -> then gives you LC problems with a guided hint ladder that explains the why of the optimal approach and how to dissect the problem on the left side with the code editor right there on the right side. 241 lessons with 150 guided problems across 17 units starting from the basics of Big-O notation, hash maps, two pointers, sliding window, prefix sum, recursion, binary search, linked lists, stacks and queues, trees and binary search trees, heaps and priority queues, union-find, graphs(BFS & DFS), greedy, sorting, dynamic programming, and bit manipulation. The System design foundations course follows the same progressive learning path with 20 units and starting from 'How system design interviews work' through the request path, API design basics, back-of-envelope estimation, SQL VS NoSQL, transactions & ACID, database indexing, caching, load balancing, availability & failover, replication, sharding / partitioning, consistent hashing, message queues, pub/sub vs queues, CAP & consistency, rate limiting, real-time & push, search & the inverted index, and blob storage & CDNs. The goal is simple: help people build strong foundations before jumping into interviews. Would love feedback from anyone learning DSA, preparing for interviews, or teaching beginners.