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I built a zero-backend chess audit tool using Stockfish WASM and client-side processing

Hey dev.to community! πŸ‘‹ I wanted to share a browser-based tool I recently built: Chess Blunder Heatmap. Instead of focusing on single-game move-by-move engine analysis, the app aggregates a player’s game history to gen

I built a zero-backend chess audit tool using Stockfish WASM and client-side processing

Hey dev.to community! πŸ‘‹

I wanted to share a browser-based tool I recently built: Chess Blunder Heatmap.

Instead of focusing on single-game move-by-move engine analysis, the app aggregates a player’s game history to generate a macro-level heatmap of weak board squares and a phase breakdown (opening, middlegame, endgame).

πŸ› οΈ The Tech Stack & Architecture
Frontend: Clean client-side JavaScript hosted on Vercel.

Engine: Stockfish WASM running directly in the browser.

Backend: None. Everything is processed locally on the user's client.

πŸ’‘ Why WebAssembly & Client-Side?
Zero Server Costs: Offloading engine evaluation to the client means zero compute bill or complex server infrastructure.

Privacy & Frictionless UX: Users don't need to create an account, log in, or store their game logs on a remote server. You just enter a Chess.com username and run the audit.

πŸ§ͺ Features
Visual board heatmap showing exact squares where blunders occur over time.

Phase performance metrics (opening, middlegame, endgame).

Instant testing with famous profiles (e.g., test Hikaru to audit a GM's blind spots).

Check out the live tool here: https://chess-blunder-heatmap.vercel.app/

I’d love to hear your thoughts on performance, WASM execution limits, or UI/UX feedback!


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