Launching today
Blood Sugar Journal
AI-powered diabetes tracking for the modern era.
95 followers
AI-powered diabetes tracking for the modern era.
95 followers
Managing diabetes shouldn't feel like a chore. Blood Sugar Journal uses AI (GPT-4o-mini) to turn raw glucose & insulin data into clear, actionable reports. Built for iOS 26 with a focus on speed, beautiful design, and seamless iCloud sync. 📉🚀
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Huge congrats on getting this out @dmitry_mashkin! We need more applications of AI in the medical field.
I've been advising a few healthcare startups and the iCloud sync piece is often where apps fall short, so glad to see you prioritized that from the start.
BTW, how does the AI actually interprets patterns in glucose data... does it factor in things like meal timing or exercise when generating those reports?
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@rohanrecommends Thank you so much, really appreciate it.
And yes, totally agree — sync is one of those things people don’t notice until it breaks, so I wanted to make sure it’s reliable from the start.
Regarding AI — right now it looks at the data in context: glucose entries, timing, and user logs like meals and insulin. The goal isn’t to “predict” or give medical advice, but to surface patterns that might not be obvious at first glance.
Things like timing (for example, how glucose behaves after meals or at certain times of day) are already part of the analysis. As more structured data is added — like exercise — the system can incorporate that context as well.
I’m trying to keep it careful and grounded: more about observation and clarity, less about conclusions.
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Hi Dmitry,
I really love your idea! My girlfriend has diabetes.
So I will definitely need something like this. One thing I don't understand is:
she has a sensor on her arm, how can she connect it to the app?
For people with diabetes it's already annoying to have a sensor on their arm, so she will never enter data manually into your app.
I would love to help you build this app, how can I contribute?
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@christian_b_1 Hey Christian,
Thanks a lot for your message — I really appreciate it.
I know type 1 diabetes not just from the outside, so I care a lot about making this app feel as simple and low-friction as possible.
And yes — you’re absolutely right about the sensor. Manually entering everything would be exhausting, and that’s not the experience I want to build. I’m planning to add Apple Health integration so glucose data can be pulled automatically from supported devices, leaving only insulin and meals to log manually.
I’ve also been very careful with the AI part. It’s included in the subscription, but it’s designed to stay cautious: no reckless advice, no pretending to replace a doctor. Its role is to observe data and highlight possible patterns. There’s also a local on-device algorithm that looks for patterns too, just in a more basic and structured way.
If you’d like to help, that would honestly mean a lot. Right now the most valuable support is real testing and honest feedback from people who understand this space.
Would love to have you involved.
I have one question, how does the tracking works, I mean we still need to have a glucose monitor attached right?
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One of the best usecases of tech I can see is in the medicine. I would wish to have more similar tools that help with quality of personal life :) Wishing a successful launch :)
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@busmark_w_nika Hey Nika,
Thank you so much — really appreciate your words.
I completely agree. When technology is used carefully in healthcare, it can genuinely improve everyday life, not just add more noise.
With this app, I’m trying to keep things simple and useful — focusing on clarity, patterns, and reducing mental load rather than overwhelming people with features.
Thanks again for the support, it really means a lot 🙌
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This is going to be a highly useful app for the diabetic.
All the best for your launch!
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@basharath Thanks for the support 🙌