Chessmate: iOS chess opening trainer that quizzes forgotten moves
Chessmate is an iOS app that helps chess players practice openings by presenting positions one at a time and quizzing them on the correct moves, especially those they tend to forget. It uses LLMs to generate explanations for why a move works, addressing the common problem of forgetting both the move and its rationale after studying.
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USMLE Pomodoro: study timer for medical students
A desktop app that combines a Pomodoro timer with study materials for USMLE preparation. Built with AI-assisted coding, it helps medical students manage study sessions and breaks effectively.
LLM-powered learning tool that streams generated lessons to avoid user abandonment
A learning tool that generates personalized lessons from a user's profile using an LLM. The key insight was that streaming the lesson output (instead of showing a blank spinner during 50-second generation) dramatically improved user retention. Solves the problem of users assuming the app is broken when generation takes time.
AI-powered desktop overlay for coding assessments and interviews
HintLens is an AI-powered desktop overlay that stays on top of the screen to provide answers during coding online assessments and interviews. It uses LLMs to help users avoid switching between apps or browser tabs, reducing stress from strict time limits and challenging questions.
Daimon AI: AI companion for memory, reminders, and productivity
Daimon AI is a free AI companion app that helps users with memory, reminders, and productivity. It uses LLMs to understand natural language requests, set reminders, send notifications, and keep users accountable for tasks. It solves the problem of forgetting tasks and needing a personal assistant for everyday productivity.
Machine Beater: 5-question head-to-head guessing game against LLMs
A game where a human and an LLM each ask 5 yes/no questions to guess a hidden answer, inspired by 20 Questions. The goal is to benchmark reasoning skills not captured by standard benchmarks, with planned model-model and human-model matchups.
