{"by":"jlengelbrecht","descendants":15,"id":48144670,"kids":[48146575,48146939,48146343,48146973,48146599,48146600,48146506,48146961,48146791,48146142,48146413,48146832],"score":32,"text":"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.\nGlycemicGPT 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.\nData sources:

Dexcom G7 (cloud API)\nTandem t:slim X2 and Mobi pumps (direct BLE)\nNightscout (point it at your existing instance and you're running in minutes)

What the AI layer does:

Daily briefs summarizing overnight and 24-hour patterns\nMeal response analysis\nConversational chat with RAG-backed clinical knowledge\nPredictive alerting with configurable thresholds and caregiver escalation

Important: this is monitoring and analysis only. GlycemicGPT does not deliver insulin, does not control your pump, and is not a closed-loop system. It reads your data and gives you insight on top of it. Your clinical decisions stay between you and your care team.\nArchitecture:

Self-hosted via Docker or K8S — the GlycemicGPT stack runs entirely on your hardware\nBYOAI — bring your own AI provider. Use Ollama for fully local operation (no data leaves your hardware), or point it at Claude, OpenAI, or any OpenAI-compatible endpoint if you prefer a hosted model. Data flows directly from your instance to the provider you choose; nothing is routed through any centralized service operated by the project.\nGPL-3.0, no subscriptions, no vendor lock-in

Stack:

Backend API: FastAPI, Python 3.12, PostgreSQL 16, Redis 7\nWeb Dashboard: Next.js 15, React 19, Tailwind CSS, shadcn/ui\nAI Sidecar: TypeScript, Express, multi-provider proxy\nAndroid App: Kotlin, Jetpack Compose, BLE\nWear OS: Kotlin, Wear Compose, Watch Face Push API\nPlugin SDK: Kotlin interfaces, capability-based, sandboxed

Looking for contributors — especially folks with BLE/Android experience or anyone in the diabetes tech space. Plugin SDK is documented if you want to add support for new devices.\nGitHub: https://github.com/GlycemicGPT/GlycemicGPT","time":1778820503,"title":"Show HN: GlycemicGPT – Open-source AI-powered diabetes management","type":"story","url":"https://github.com/GlycemicGPT/GlycemicGPT"}