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.
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NutriAI: Telegram Mini App for AI-powered meal photo calorie tracking
NutriAI is a Telegram Mini App that lets users photograph their plate and uses Google's Gemini AI to estimate calories, macros, and micronutrients. It solves the tedium of manual food logging by providing instant analysis with a sanity score, all within Telegram without requiring app store installation or signup.
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.
Pantry-first cooking app that suggests recipes from ingredients you have
A cooking app that prioritizes ingredients already in your pantry, fridge, or freezer to generate recipe suggestions, reducing food waste. It uses LLMs to parse user-inputted ingredients and produce tailored recipes. Built by a chef and father of five with Celiac disease to solve the daily problem of deciding what to cook with available food.
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.
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.
