GeneGuessr: Daily biology puzzle game where you guess gene names from protein stru

What it does

GeneGuessr is a daily puzzle game where players guess human gene names based on 3D protein structures. Each day presents one protein structure visualized in 3D. Players have ten guesses to identify the correct gene. The game reveals hints progressively—spoiler bars cover clues about domains, pathways, molecular functions, tissue specificity, and other properties. Removing a spoiler bar costs one hint token, and players earn one hint back for each incorrect guess. Feedback cards show how close each guess was to the target gene.

Who it is for

The creator explicitly targets biologists and molecular biology professionals who would recognize genes and protein structures. The game tests knowledge of protein architecture, biological pathways, and gene function. The creator also welcomes non-specialists trying the game, particularly those using browser-based language models to solve puzzles and learn biology concepts.

Pricing

The site does not show prices.

How it stands out

GeneGuessr adapts the popular Wordle and Geoguessr formats to molecular biology. It uses real data from established scientific databases: UniProt for protein information, HGNC for gene names, NCBI for gene summaries, InterPro for protein domains, CATH for structure architecture, Reactome for pathways, and AlphaFold DB plus RCSB PDB for 3D structures. The feedback mechanism shows structural and functional similarity metrics rather than simple letter matching. Players can search their favorite genes to build familiarity. The game targets a niche but active audience—biologists seeking engaging learning tools.

What a founder should check

A rival builder should investigate whether daily puzzle games in specialized domains retain engagement over time. Wordle's success relied on broad accessibility; GeneGuessr deliberately limits its audience to biologists and curious learners. Verify whether the biological databases used are freely accessible and updatable, since the game depends on accurate, current data. Check whether the creator has plans to monetize through educational licensing, research institutions, or premium features—the free model may not sustain development costs as AI tools improve at solving protein puzzles automatically.

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