GlycoNova
Type 1 Diabetes Management Platform
Overview
GlycoNova is a comprehensive diabetes management platform built by someone with 16 years of lived experience with Type 1 Diabetes. The platform integrates with Dexcom CGM (G6/G7) and Omnipod 5 insulin pumps to provide real-time glucose monitoring, intelligent pattern recognition, and personalized insulin recommendations.
Built in collaboration with endocrinologists, GlycoNova aims to democratize access to advanced diabetes management tools by providing free access to everyone, regardless of their financial situation.
Key Features
Real-Time Device Integration
Seamless connection with Dexcom CGM and Omnipod insulin pumps
Pattern Recognition
AI-powered glucose pattern analysis for trend prediction
Insulin Recommendations
Personalized dosing suggestions based on historical data
Data Visualization
Interactive charts and dashboards for glucose trends
HIPAA Compliance
Secure data handling with end-to-end encryption
Multi-Device Sync
Access your data from any device, anywhere
Technical Architecture
Frontend
Built with Next.js 14 and TypeScript for type-safe, server-side rendered performance. Utilized Tailwind CSS for responsive design and Framer Motion for smooth animations.
Backend
RESTful API handling 10K+ daily health data points with sub-200ms response times. PostgreSQL database with optimized queries for time-series glucose data.
Integrations
Seamless integration with medical device APIs for real-time data synchronization. Implemented webhook listeners for instant glucose updates.
Impact & Metrics
Daily health data points processed
Average API response time
Mobile responsiveness score
Challenges & Solutions
Challenge: Real-time Data Synchronization
Implemented WebSocket connections with automatic reconnection logic and data buffering to ensure no glucose readings are lost during network interruptions.
Challenge: HIPAA Compliance
Built comprehensive encryption at rest and in transit, audit logging, and role-based access controls to meet healthcare data protection standards.
Challenge: Complex Time-Series Analysis
Optimized PostgreSQL queries with proper indexing and materialized views for efficient analysis of glucose patterns over extended time periods.