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Core Kanji, an SRS with no self-grading that picks what to study next
by moxza·Jul 21, 2026·1 point·0 comments
AI Analysis
●●●BangerBig BrainNiche Gem
Grades by answer latency against your rolling baseline instead of making you self-report difficulty.
Strengths
- •FSRS memory state tracking with stability and retrievability metrics
- •Latency-based grading eliminates subjective self-assessment bias
- •Corpus frequency × word-completion algorithm picks optimal next item
Weaknesses
- •Limited to toy corpus demos; unclear path to full language learning content
- •Niche audience of SRS users who want algorithmic tweaks over UX improvements
Category
Target Audience
Language learners and students using spaced repetition systems
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Anki · SuperMemo · FSRS
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