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by _Chief7 hours ago |

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by westpfelia5 hours ago|

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Is this just for Type 1 or would type 2 work well also? Seems like it would?

by _Chief5 hours ago|

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All types. The sugar dashboard allows import of data from different glucose apps, so its goal is to allow you visualize and analyze your data. I hope to integrate with cgms directly if I get some that allow it, and also source from Health connect. Sharing with specific people eg doctor is also a big ask that I'm working on. The other WIP tools will be fore general health, not just diabetes, like carb counting from a photo via AI

by jekude2 hours ago|

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Also recently diagnosed and just open sourced how I'm using AI to count carbs + get insulin doses [1]. Biggest issues I've seen to starting a legit business is not having sanctioned access to real-time blood sugar values (the APIs are all one hour behind), and dealing with the FDA. Love the idea of more tech-enabled diabetes management, good luck!

[1] https://github.com/kennedyjustin/BolusGPT

by _Chief1 hours ago|

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Love this! Thank you for sharing! My backend is also in Go so this is a godsend. Will see how I can incorporate and let you know if I do!

> not having sanctioned access to real-time blood sugar values (the APIs are all one hour behind)

Ah, I didn't know this. One of the prospective tools I had in mind was real time alerting in case of drastic drops eg ping doctor or relative. I think will have to be limited to the apps/tools that do support realtime.

by jekude55 minutes ago|

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Technically there is unsanctioned access (someone reverse engineered the real-time APIs [1] which I ported to Go). I think the FDA does not want easy access to real-time values so that folks can't easily recommend insulin dosing without oversight. I am personally of the opinion that it is our right to have programmatic access to the real-time data and do with it what we please.

Would love to get in touch to hear more about your long-term vision for the project!

[1] https://github.com/gagebenne/pydexcom

by shiggaz2 hours ago|

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That's so cool! Nice work!! Are you happy to share how you built and host it? How long has it taken you to get it to this point?

by _Chief1 hours ago|

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Thanks! I started out with a Nextjs full stack on Vercel, with db on Turso but ended up with a React frontend (next on vercel) and Go backend (selfhosted on vps).

Decided to port the backend to Go + postgres (on a Hetzner VPS), and retain the frontend on Nextjs - A lighter weight client, moving most of the compute to the backend API. Few reasons for the port: I've had a lot more success/stability with Go backends, Turso pulled multi-tenant dbs which is what I mostly wanted them for, Nextjs is getting too hard for me.

Go backend is just the std lib (1.22+ server with the nice routing) - I mostly write all the lines in this

Frontend is textbook modern react: React19,next15,tailwind4 - AI mostly writes the code in the frontend (Cursor + Cline + sequentialthinking + context7 + my own custom "memory bank" process of breaking down tasks). AI is really, really good at this. I wrote this https://image-assets.etelej.com/ in literally 2 days 2 weekends ago with less than 10% of code being mine (mostly infra + hono APIs)