GhimIt

Vocabulary learning with SM-2 spaced repetition, AI-generated mnemonics and a gamified dragon-raising progression.

May 2026 – in development

Solo developer

Technologies Used

Next.js 16TypeScriptPrismaSupabaseOpenAIFramer Motion

Project Overview

GhimIt schedules flashcard reviews with the SM-2 algorithm and uses OpenAI to generate memorable mnemonics for hard words, cached so they are reused. Review rewards feed a small game where learners hatch and level up dragons, which keeps daily streaks going.

Key Features

SM-2 spaced repetition with 0–5 quality ratings and full review logs
AI mnemonics with caching
Gamified progression (dragons, resources, stages) and learning streaks
Progress and accuracy analytics

Technical Challenges

Balancing game rewards so they motivate reviews without rewarding cramming

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