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Cover image for I built SugarTrack: A simple offline blood sugar tracker for Android
Aslam Shah
Aslam Shah

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I built SugarTrack: A simple offline blood sugar tracker for Android

A few weeks ago, I needed a basic way to log blood sugar readings. Most apps on the store are full of complex layouts, forced signups, cloud sync, Bluetooth setup screens, and monthly subscriptions. I just wanted a simple logbook to help me with the manual work.

So I built SugarTrack.
It is an Android app for recording readings from a standard glucose meter.

Features

  • Log glucose levels, time, context (fasting, meals, bedtime), and A1C
  • Add notes, meal photos, and medication info
  • View trends over time, set daily reminders, and export PDF or CSV reports for your doctor
  • Set custom target ranges with support for mg/dL and mmol/L

⚡⚡⚡ 100% Offline ⚡⚡⚡
There is no backend, no API, and no cloud server. Everything stays stored on your phone. You can manually export and import backups, but your medical data never leaves your device.

Why make another health app?
Not everyone uses expensive continuous monitors in remote areas. They are expensive, unavailable and very hard to maintain for elderly people. This app is built for people using standard meters, or caregivers entering numbers for elderly relatives. The goal was to make something you can open, use for five seconds, and close.

Tech Stack
I built it using Expo, React Native, and TypeScript. Coming from web development, it was a good exercise in keeping mobile apps lightweight.

⚠️SugarTrack is just a logbook, not a diagnostic medical tool.⚠️

The code is fully open source. No accounts, no servers, no ads.
👉 https://github.com/hunzaboy/sugartrack or you can directly download it from https://sugartrack-beta.vercel.app/

If you have someone who might find it useful, feel free to share and give feedback.

If you test it out or like the project, I would love a GitHub star!

Also there is an interesting discussion about this app on HackerNews if you are interested in knowing more about other options for people with diabetes where i also shared the use cases and target population.

Cover photo generated by AI ( Nano Banana via Dev.to )

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