About & Support
Building a completely offline, zero-latency technical interview simulator for developers who want to master algorithmic pattern recognition.
Core Mission
This platform was created to solve two major friction points in interview prep: the slow feedback loops of traditional online judges, and the failure to build intuitive pattern recognition.
By bringing the execution engine locally and focusing purely on the underlying blueprints (Sliding Window, Two Pointers, etc.), we cut out the noise and focus on muscle memory.
Offline Architecture
Everything runs in your browser. There are no backend servers evaluating your code, which means zero latency and no internet requirement once cached.
- JavaScript/TypeScript: Evaluated instantly via secure Web Workers.
- Java/Python: Fallback to ultra-fast WASM runtimes compiled for the web.
- Monaco Editor: The exact same core that powers VS Code.
Support The Project
This is a passion project built for the developer community. If you find it helpful for your interview prep, dropping a star on GitHub goes a long way in keeping the project maintained!
Other ways you can support:
- Share the platform with friends, classmates, and interview study groups.
- Submit feedback, report edge-case problem patterns, or suggest new features.
- Star and contribute to our open-source tools and educational guides.