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.
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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?'
Produchive: offline desktop activity monitor with local LLM analysis
Produchive is an open-source, offline desktop app for activity monitoring and productivity tracking. It stores all data locally in a JSON file and uses WebGPU to run open-source LLM models on-device for analysis, ensuring privacy. The app helps users who procrastinate on their PC to monitor their activity without their data being sold.
Local CLI tool to analyze Claude AI token usage and costs
A Go-based CLI that parses local Claude AI logs to show token usage and cost breakdown by project, session, and model. It helps users understand where their API quota is going and how much they would have spent without caching.
LLM hardware recipe database with filters and community usage tracking
A community-driven database that lists which LLM models run on which hardware, with performance details. Users can filter by hardware, submit new recipes, and mark which recipes they actively use to show popularity. It solves the problem of finding compatible model-hardware combinations for LLM deployment.
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.
