ChessPecker
A chess tactics trainer implementing the Woodpecker Method for puzzle repetition. Uses the Lichess API for puzzles and tracks solving progress over multiple rounds.
The Problem
Chess improvement requires consistent tactical training, but most platforms don't implement effective spaced repetition methods. The Woodpecker Method, popularized by chess coaches, involves solving the same set of puzzles multiple times to build pattern recognition.
Existing platforms focus on solving new puzzles constantly rather than reinforcing patterns through repetition, which is less effective for long-term improvement.
The Solution
ChessPecker implements the Woodpecker Method digitally by creating curated puzzle sets that users solve in multiple rounds. The application tracks progress across rounds, showing improvement in solving speed and accuracy.
Built with Next.js and integrated with the Lichess API, it provides a modern, responsive interface for systematic tactical training with authentication and progress visualization.
Key Features
Technical Implementation
The application uses Next.js for the frontend with server-side rendering for SEO optimization. Supabase handles user authentication and stores user progress data, while the Lichess API provides high-quality chess puzzles.
NextAuth provides secure authentication flows, and the application is deployed on Vercel with automatic deployments from GitHub. Tailwind CSS ensures a responsive, modern design that works across all devices.