Fitness app with AI coach that calls you out for skipping workouts
TrackFull is a fitness app that pairs users with an AI coach that learns from their goals, training history, and progress. The coach recommends workouts, adapts guidance, and notices when workouts are skipped, offering a more personal and engaging fitness experience.
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Nulls: fast, AI-powered fitness tracker with photo-based food logging
Nulls is a fitness tracking app that uses LLMs for image recognition to log meals from photos, eliminating manual entry and barcode scanning. It prioritizes speed and simplicity for users who find existing apps bloated and expensive.
No-signup workout generator with shareable cards
Setlist is a static web app that generates instant workout routines based on time, focus area, and available equipment. No account or ads required. It uses a manually tagged exercise list (not LLMs) to produce random but sensible workouts, and offers a save-to-image feature for sharing.
ADHD habit app that unlocks habits gradually to prevent overwhelm
BetterADHDay is a habit tracker designed for people with ADHD. It uses a gradual unlocking mechanism: users start with one habit and earn more slots by maintaining streaks, preventing the overwhelm that leads to app abandonment. The app is built without LLM features, but the creator also built a separate tool that uses LLMs to generate structured engineering prompts.
Local AI health data analyst using Claude on Garmin SQLite warehouse
A local-first tool that lets users query their Garmin health data via Claude, running analysis on a local SQLite database. It helps users find correlations in their biometric data (e.g., resting heart rate, HRV, sleep) without sending data to the cloud.
freddy: personal health data server connecting apps to LLMs
freddy is a mobile app that acts as a personal health data server, aggregating data from various health apps and devices. It uses an MCP server to expose this data to any LLM, enabling users to ask natural language questions that span multiple data sources, such as 'Which meetings raise my heart rate?'
