Personal time tracking app

Using Letterboxd personal data, TMDB API, and data science techniques to analyze movie watching data

Import your genome into a SQLite database

A Desktop app for intelligent screen time tracking, productivity analysis, and digital wellness management. Desktop screen time and productivity tracking application built with Flutter.

Inbox Archeology is a local-first tool that analyzes your Gmail Takeout export to reconstruct the social history of your inbox.

Foreground application logger for Windows

Automation using Google App Scripts

AI-powered daily briefing system that aggregates tasks, calendar, and other inputs into a single actionable morning report.

A 5-Year Odyssey. Engineered via Python & SQL to transform 43k+ raw Spotify rows into high-fidelity insights. This dashboard decodes the daily rituals and seasonal trends of the Top 50 artists in my musical history.

Channel-agnostic personal health tracking and coaching skill for agents

It is all about my data. http://rasyidridha.com/datague/

Personal analytics dashboard tracking daily habits across career, health, finance, and relationships using Python and Excel automation

Analyze and visualize sex activity data from Apple HealthKit and more

Local-first cognitive intelligence for developers, students, freelancers, and knowledge workers.

LifeOS is a private AI cognition layer that observes patterns across sleep, movement, spending, workouts, and reflection to generate adaptive daily intelligence locally via Ollama.

A customizable, privacy-preserving Python project to track daily, weekly, and monthly life statistics using Google Forms and Google Sheets. Analyze your habits, receive feedback, and visualize your progress with an interactive dashboard.

Local-first personal fitness dashboard with an LLM coach — unifies Health Connect, Hevy & FDDB into Body · Running · Strength analytics. FastAPI + Next.js, MCP server included.

Transforming raw IoT mood logs into visual insights with Python

Personal intelligence system — aggregates 13 macOS data sources into cross-correlated insights

is a server built using the Model Context Protocol that allows a language model to investigate patterns in a user's daily life using multiple personal data sources.