What kind of things can I track with GitFit?

You can track virtually any personal metric you can think of. Common examples include calories, macronutrients (protein, fiber), water intake, running distance, gym sessions, sleep, and habits (good or bad). Beyond fitness, you can also track mood, piano practice time, appearance ratings (via AI), or any other custom metric you define. The platform is designed for complete flexibility.

How accurate is the AI food scanner, and what if it makes a mistake?

According to the developer, the AI food scanner's accuracy has been tested on over 500 dishes, with a long-term bias of less than approximately 6 calories. It searches the web for restaurant dishes and official food databases, always citing its sources. If the AI estimation is poor, you can use the free "Fix in chat" feature to correct it.

Who owns the data I log in GitFit, and is it secure?

You own all the data you log. GitFit emphasizes that your data is never shared and is fully encrypted. You can export all your data anytime directly from the app, ensuring there is no vendor lock-in and giving you full control over your information.

Can I connect GitFit with other apps or services?

Yes, GitFit offers optional synchronization with Apple Health (HealthKit) to import data like steps and sleep. It can also sync with GitHub to incorporate your commit history into your progress charts. These integrations require authorization from your respective accounts.

What does the AI data query feature do?

You can ask your data questions in natural language, such as "What were my average calories this week compared to last?" GitFit's AI will then write a calculation script, run it on your logged data, and show you the results. It even displays the code it ran for transparency.

Who created GitFit and how can I get support?

GitFit was created and is actively maintained by Aaron Frost, a former Blizzard Software Engineer. He uses the app daily and promises his utmost attention to user experience and any issues. You can contact support through the "Contact Us" link provided on the website.

GitFit: AI Fitness Tracker & Habit Logger with Custom Metrics

GitFit Overview

GitFit is a versatile health and productivity tracker built by a former software engineer. It combines the visual appeal of GitHub-style commit charts with powerful AI to help you monitor fitness, nutrition, habits, and personal goals. Unlike cluttered fitness apps, GitFit emphasizes customization, data ownership, and a streamlined experience, allowing you to track only what matters to you.

How to use GitFit

After signing up, you can immediately start logging data. Simply type or speak what you want to track (e.g., "2000 calories," "5 miles run," "8 glasses of water"). Use your camera to scan food or objects for AI analysis. Log items by tapping to mark them as done, increment, decrement, or set a specific value. View all your progress on the main dashboard featuring colored commit squares representing your daily metrics. You can sync data from Apple Health (like steps and sleep) and GitHub, and ask AI questions about your logged data for deeper insights.

Core Features of GitFit

AI-Powered Scanning & Analysis: Scan food, objects, or text (like a treadmill display) using your camera. AI counts calories, identifies items, and can rate or analyze various things.
Unlimited Custom Metrics: Track anything you can imagine, from calories and nutrients to mood, piano practice time, or personal habits. Create custom metrics with specific names and units.
GitHub-Style Visual Progress Charts: View your daily progress through beautiful, color-coded commit squares. Tap any square to see detailed logs for that day.
Flexible Data Logging: Log items with a single tap (mark done, increment, decrement, set value). No forced tracking of irrelevant metrics.
Data Query & Insights: Ask your data AI-powered questions like "What were my average calories this week compared to last?" GitFit writes and runs a calculation script, showing you the results and the code.
Data Ownership & Export: Your data is never shared and is fully encrypted. You can export all your data at any time, avoiding vendor lock-in.
Apple Health & GitHub Sync: Optionally sync data with Apple HealthKit and GitHub to centralize your activity and commit history.

Use Cases for GitFit

GitFit is ideal for fitness enthusiasts seeking a detailed yet flexible calorie and nutrient tracker. It's equally valuable for individuals building or breaking habits, from drinking more water to practicing an instrument. Professionals interested in quantifying personal metrics (like productivity or mood) and correlating them with other life data will find its custom tracking powerful. Anyone who values data privacy, a clean interface, and the ability to own their information can benefit from using GitFit.

Advantages of GitFit

GitFit stands out due to its high level of customization and user-centric design. It avoids the clutter and forced tracking common in mainstream fitness apps. The AI food scanner is noted for its accuracy, tested on over 500 dishes with minimal long-term bias, and it cites sources for transparency. The “Fix in chat” feature allows for free correction of poor AI estimations. Built and used daily by its developer, GitFit receives direct attention to user experience and security. The GitHub-inspired charts provide a unique and motivating way to visualize long-term progress.

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GitFit Categories

3D Fitness Calculators Habit Tracking Personal Analytics

GitFit Tags

AI calorie counter custom metrics data visualization fitness logger GitHub-style charts habit tracker health tracking personal analytics

GitFit Jobs

Athlete Developer Fitness Enthusiast Health Coach Nutritionist Productivity Seeker Student

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