
My Health - Gheware
AI-powered diabetes management to improve your Time in Range
What it does
Health Gheware helps diabetics track and optimize glucose using AI insights. Key features: • CGM integration (Freestyle Libre) • AI analysis using Claude for glucose patterns • Time in Range tracking - key diabetes metric • Lifestyle correlation - sleep, exercise, meals impact • Personalized recommendations • Educational health blog Built by a developer with T2D who wanted better tools.
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- TAThe App I Built to Help Manage My Diabetes2024 · apps.apple.com · ▲185
Hi HN, I’m Joshua, a student, and I’m excited (and a little nervous) to share something deeply personal that I’ve been working on: Islet, my diabetes management app powered by GPT-4o-mini. It’s now on the App Store, but I want to be upfront—it’s still very much in its early stages, with a lot more to go. I was diagnosed with Type 1 diabetes while rowing competitively, and that moment changed everything. It wasn’t just the practical challenges of managing insulin, carb counts, and blood sugars; it fundamentally shifted how I see myself and the world. It forced me to slow down, prioritise my…
- GOGlycemicGPT – Open-source AI-powered diabetes managementMay 2026 · github.com · ▲64
I'm a Type 1 diabetic and software engineer. Last year I went months between endocrinologists with no clinician reviewing my data. I'm an engineer, so I built the tool I needed — and now I'm open sourcing it. GlycemicGPT is a self-hosted platform that connects continuous glucose monitors, insulin pumps, and existing Nightscout instances to an AI analysis layer running on your own infrastructure. Data sources: Dexcom G7 (cloud API) Tandem t:slim X2 and Mobi pumps (direct BLE) Nightscout (point it at your existing instance and you're running in minutes) What the AI layer does: Daily briefs…
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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