DEV-TOOLSMay 15, 20261 min read13 views

Show HN: GlycemicGPT – Open-source AI-powered diabetes management

GlycemicGPT is an innovative open-source platform that leverages AI to analyze data from CGMs and insulin pumps, offering real-time monitoring and personalized insights for diabetes management.

Open source diabetes platform with AI-powered analysis at its core.

Because no one should manage diabetes alone.

GlycemicGPT is an open source diabetes platform built around AI-powered analysis. It connects directly to your CGM and insulin pump for a full standalone experience — real-time monitoring, daily AI briefs, pattern detection, conversational AI chat, and caregiver alerting. Already running Nightscout? GlycemicGPT can also pull data from your existing instance and add AI analysis on top, no changes required to your current setup.

Key Features:

AI-powered daily briefs, meal analysis, and pattern recognition (BYOAI — bring your own AI key)
Conversational AI chat backed by clinical diabetes knowledge base
Configurable alerts with caregiver escalation and multi-channel delivery
Real-time glucose monitoring with trend charts and Time in Range tracking
BLE connectivity to Tandem pumps and Cloud API for Dexcom G7
Self-hosted Docker stack with web dashboard and REST API
Up to 10 years of personal diabetes data storage
Printable reports for endocrinologist appointments

Key Principles:

Suggestions only: Does not control medical devices.
BYOAI architecture: Bring your own AI provider (Claude, OpenAI, Ollama, etc.).
Self-hosted: Your data stays on your infrastructure.
Safety-first: Pre-validation layer and medical disclaimers.

Technical Stack:

Frontend: Next.js 15, React 19, Tailwind CSS
Backend: FastAPI, Python 3.12
Mobile: Kotlin, Jetpack Compose, BLE
Database: PostgreSQL 16, Redis 7

IMPORTANT SAFETY WARNING: This software is NOT designed to replace your endocrinologist or healthcare provider. GlycemicGPT provides AI-generated suggestions only and should be used as a supplementary tool alongside professional medical care. Use at your own risk.

Source: Hacker News

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