Gabe Mays built Mathy, a free, account-optional web and iOS app designed to make math facts and short procedures automatic through targeted drilling rather than teaching new concepts. It complements lesson-focused learning by letting users pick topics (by grade, course, or topic) and practice mentally solvable recall targets in short sessions, including timed sprints and a 60-second mode. Scheduling uses the FSRS spaced-repetition algorithm so stronger items require less frequent practice; the app emphasizes a minimum-effective-dose approach, offline-first mobile use, and light gamification (XP, levels, medals, streaks) to keep practice engaging.
Under the hood Mathy enforces deterministic, reproducible grading: a curated bank of fixed facts and parameterized problem families generate variants with stable IDs and verified answer keys. Typed numeric inputs are normalized (trimmed, unified symbols, parsed, and converted to canonical fraction/decimal/percentage/radical forms) so equivalent answers are accepted where appropriate. Automaticity is evaluated by repeated correct behavior using thresholds on accuracy, response time, spacing, cue coverage, and lapse/re-entry rules. Built in React Native with local-only progress storage for now, it maps content as Domain > Topic > Concept > Recall target > Prompt variant, focuses on Common Core short-practice items, and still needs work on content variety, presentation, and optional sync/leaderboards.
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