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A privacy focused personal health ecosystem: Track weight, workouts, nutrition, and daily wellness habits. Offline-first, and fully open source.

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Heknot

A privacy-focused personal health ecosystem for tracking weight, workouts, nutrition, and wellness habits. Heknot is designed to operate entirely on-device, prioritizing data sovereignty and offline functionality.

Core Principles

  • Data Sovereignty: All health data remains on the physical device. There is no cloud synchronization, external telemetry, or mandatory account creation.
  • Offline Infrastructure: The application is architected to be fully functional without internet connectivity, ensuring reliability in any environment.
  • Technical Transparency: The project is open-source, allowing for full auditability of data handling and storage processes.

Features

  • Weight Analytics: Log body metrics and visualize trends through high-fidelity interactive charts.
  • Workout Management: Categorized exercise library with support for strength and cardio routine tracking.
  • Nutrition Logging: On-device calorie and macronutrient monitoring.
  • Habit Tracking: Consistency monitoring for daily wellness targets, including hydration and activity streaks.

Tech Stack

  • UI Framework: Jetpack Compose with Material 3 design system.
  • Language: Kotlin 2.1.0.
  • Visualization: Vico charting library.
  • Persistence: Room Database (SQLite) for structured local storage.

Project Context

Heknot is part of the Guada Labs initiative, focused on building user-centric, decentralized software.

About

A privacy focused personal health ecosystem: Track weight, workouts, nutrition, and daily wellness habits. Offline-first, and fully open source.

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