Self-Hosted AI Diabetes Management Platform with CGM and Pump Integration
Type 1 diabetics who go months between endocrinologist visits have no one reviewing their glucose data. A self-hosted platform that connects CGMs, insulin pumps, and Nightscout to an AI analysis layer gives patients daily insights without clinical dependency. GlycemicGPT launched on HN and received strong engagement from the diabetes tech community.
Problem Statement
Diabetic patients using CGMs generate continuous glucose data that sits in device apps showing simple graphs. Endocrinologist visits happen every 3-6 months, leaving months of data unreviewed. Patients cannot identify meaningful patterns (overnight lows, post-meal spikes, insulin timing issues) from raw data. The gap between data collection and clinical insight costs patients health outcomes.
The Idea
A self-hosted, privacy-first AI platform that connects continuous glucose monitors and insulin pumps to provide daily glucose analysis, pattern detection, and clinical discussion preparation for diabetic patients.
Why Now
CGM data volume has exploded as devices become more affordable and widespread. Patients generate thousands of glucose readings daily but lack tools to interpret patterns between clinic visits. Self-hosted AI with local LLM support (Ollama) addresses the critical privacy requirement for health data.
Target User
Type 1 and Type 2 diabetics using continuous glucose monitors, especially tech-savvy patients
Target Market
5M+ CGM users globally, with focus on the Nightscout community and self-management oriented patients
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