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wordrow

Author:

๐Ÿ”— sakabako

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App Description

A daily word building game with statistics collected with Rust and WebAssembly. The game uses a combination of Rust and TypeScript in a monorepo with a NextJS app. The dictionary employs a bloom filter in both JS and Rust. A Rust library brute forces the games to find the best score, taking 4-20 seconds per game with 4 words. The Rust library is built into WebAssembly and imported into the browser for a UI that helps select the words for each day.

Project Overview

Wordrow is a daily word building game that leverages Rust and WebAssembly for its backend and statistical analysis. It features a unique combination of technologies including a Rust/TypeScript monorepo, a NextJS app, and a bloom filter for dictionary operations. The game’s Rust library performs brute force calculations to determine the best scores, showcasing the power of WebAssembly in browser-based applications. Despite the lack of user feedback in the provided comments, the technical details suggest a high level of innovation and complexity in the game’s development.

Links

๐ŸŒ Website: https://wordrow.us

Features & Benefits

โœ… Innovative use of Rust and WebAssembly
โœ… Combination of Rust/TypeScript monorepo with NextJS app
โœ… Efficient dictionary operations using a bloom filter
โœ… Brute force calculation for best scores
โœ… WebAssembly integration for enhanced browser performance

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