Species.app – A visual spaced-repetition engine for taxonomy

Show HN: Species.app – A visual spaced-repetition engine for taxonomy

Species.app – A visual spaced-repetition engine for taxonomy is a company in show hn launch.

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Hi HN,I’m an amateur naturalist, and I couldn't find good visual content to study for animal/plant taxonomy. Standard text-based flashcards don't work well for visual identification.So, I built a visual spaced-repetition engine specifically designed to drill taxonomy using perceptual interleaving (showing you visually similar species back-to-back to train your eye).The stack: SvelteKit / CDK (S3) / Fallback R2 / PostgresCould probably use some better optimization but it works well enough.It uses a customized implementation of the FSRS (Free Spaced Repetition Scheduler) algorithm adapted for image-heavy visual drilling.The hardest part is building out the curated image database. There is plan

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

It is recorded at the Show HN launch stage.

Website: species.app