Show HN: Core Kanji, an SRS with no self-grading that picks what to study next

Category: other

Tags: spaced-repetition, fsrs, latency-grading, education, adaptive-learning

Score: 6.0/10 (Innovation: 7, Technical: 6, Documentation: 6, Utility: 5)

Core Kanji is a spaced repetition system (SRS) that removes self-grading by using response latency to infer grades and uses an FSRS-based scheduler to pick what to study next based on corpus frequency and word-completion. The engine is demonstrated live on a toy corpus with parity-tested numeric core, showing a novel approach to adaptive learning.

Target audience: language learners, educators, SRS enthusiasts, developers interested in adaptive learning algorithms

Repository: https://moxzas.github.io/core-kanji/

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