URL Shortener System
IntermediateBuild a scalable URL shortener with analytics, caching, and custom slugs.
Build projects that directly practice system design, DSA, and the real-world problems interviewers love to discuss.
Build a scalable URL shortener with analytics, caching, and custom slugs.
Implement an O(1) LRU cache using hashing + doubly linked list.
Build a production-ready API rate limiter using multiple algorithms.
Design a job queue system with retries and worker management.
Build Google-like autocomplete using Trie + ranking logic.
Scalable push notification system using pub/sub architecture.
Text sharing service with expiration and analytics.
Visual simulation of distributed hashing used in scalable systems.
Build a Redis-like system with persistence and TTL.
Build friend recommendation system using graph traversal.
Central API gateway with auth, routing, and throttling.
Real-time leaderboard with ranking and percentile tracking.
Chunked upload system with resumable file transfers.
Build timeline generation using fan-out strategies.
Code execution platform like LeetCode.
Centralized logging system for multiple services.
Todo app using event sourcing architecture.
Classic OOP system design problem.
Highly scalable counter system for global apps.
High-performance prefix search engine.
LeetCode trains you to solve isolated puzzles, but real interviews — especially at FAANG and senior levels — test how you reason about systems under uncertainty. Building a rate limiter or LRU cache forces you to feel the trade-offs: why a token bucket beats a fixed window under burst traffic, why a doubly linked list is non-negotiable for O(1) eviction. Those are the exact details interviewers probe for, and they only stick when you've actually shipped the code.
A finished project also gives you specific stories to anchor every answer. When asked "tell me about a hard bug" or "how would you scale this", you don't reach for theory — you describe the race condition you hit in your job queue, or the cache stampede you fixed with request coalescing. Concrete numbers, real architecture diagrams, and honest "what I'd do differently" answers consistently outperform polished textbook responses.
Finally, projects build the communication muscle the interview loop actually grades. Walking someone through your URL shortener — schema choice, caching layer, failure modes, what breaks at 10M req/day — is functionally identical to a system-design round. By the time you sit in the real interview, you've already pitched the architecture five times to friends and your README. That fluency is what separates "good engineer" from "hire" on the rubric.
Get an interview-ready project with system design notes, tech stack, and a full build plan in under 60 seconds.