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SnappyCards

AI-assisted vocabulary-learning platform with a novel "peripheral learning" study mode.

The problem

Traditional flashcard tools drill one card at a time and throw away the reaction-time signal that reveals real recall. Teachers also lack a way to build and assign rich multimodal vocabulary sets at scale.

The solution

A role-based learning platform with single-card and peripheral (multi-card) study modes, millisecond-precision reaction-time analytics, AI-generated multimodal cards (text, image, audio), classroom management, teacher–student assignment, and shareable public sets.

My role

Sole product builder — product design, data model, role/permission architecture, Row-Level-Security, the AI content pipeline, and the study UX.

Status & timeline

Live Active development, 800+ commits

ReactSupabasePostgreSQLRow Level Securityi18nextAnthropic APINetlify

Highlights

  • Four roles (student, teacher, school admin, super admin) enforced with PostgreSQL Row Level Security.
  • “Peripheral learning” mode displays multiple cards at once to train recognition under light cognitive load.
  • Reaction-time analytics feed a spaced-repetition schedule.
  • AI-generated cards with text, imagery and audio; CSV bulk import; shareable sets.

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