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Mike Quinto

Machine learning engineer and developer crafting modern digital experiences. Building products with clean design and thoughtful user experience.

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Wordle Clone

Role

Full-Stack Developer

Technologies

TypeScriptReactNext.jsWord Frequency APIVercel

Link

Go to site→

Repository

View on GitHub→

Overview

Most Wordle clones simply fetch random words from a text file without considering word difficulty or rarity. This makes the game experience inconsistent—some days are too easy, others too hard. Players need a more balanced challenge that adapts to their skill level.

Implementation

Built a full-stack Wordle clone using Next.js that intelligently selects words based on difficulty settings. The application repeatedly fetches random words and compares their frequency against an external API to ensure each word matches the configured difficulty level. This creates a more consistent and engaging gameplay experience compared to traditional clones.

Wordle screenshot 1Wordle screenshot 2Wordle screenshot 3