# Staqc Health Intelligence Platform > Staqc is a health tracking and analysis platform that allows users to log biomarkers, effects, supplements, diet, and fitness data. It provides data visualization tools, community features, and AI-powered analysis to help users understand correlations in their health data. ## Core Data Types The platform allows users to track several categories of health data: ### Biomarkers - Users can log quantitative health metrics (lab results, vital signs, measurements) - Supports manual entry and AI-powered import from lab reports via chat interface - Data is displayed in interactive charts with time-based visualization - Biomarker details page showing aggregated user data and posts and protocols ### Effects - Subjective health measurements (energy, mood, focus, sleep quality) - Log increasing or decreasing effects on daily basis using small, medium, or large values - Can be correlated with supplements and diets and fitness routines - Effect details page showing aggregated user data and posts and protocols ### Supplements - Two-tier tracking system: - Individual ingredients (e.g., Curcumin, Vitamin D) - Commercial products containing multiple ingredients - Dosage tracking and start/stop date logging - Supplement details page showing aggregated user data and reviews and linked effects - Product pages show aggregated user data and reviews ### Diet & Fitness - Dietary pattern tracking - Fitness routine recording - Link to effects - Fitness routine details page showing aggregated user data and reviews and linked effects - Diet details page showing aggregated user data and reviews and linked effects ## Key Features ### Data Visualization - Interactive charts showing biomarkers and effects over time - Intervention bands overlaid on charts to show supplement/diet start/stop dates - Correlation analysis between different data types ### Data Aggregation - See percentage of users who have linked various effects to a supplement or diet or fitness routine they have taken or logged ### Community Platform - User-generated posts sharing protocols and experiences - Community feed showing pseudonymized health data and insights - Public user profiles (optional) displaying health journeys and data ### Chat Assistant - Natural language interface for data entry - Can process lab reports and extract biomarker data - Supports conversational logging of supplements, meals, and effects ### AI Health Analysis - Automated analysis of user's complete health data - Generates narrative summaries identifying patterns and correlations - Provides data-driven suggestions and questions for further exploration ### User Profiles - Personal dashboards showing complete health history - Timeline views of interventions and outcomes - Shareable profiles with privacy controls ## Data Structure ### Entity Relationships - Users can track multiple biomarkers, effects, supplements, and activities - Posts can be tagged with specific supplements, diets, fitness routines, biomarkers, and effects - Supplement products link to ingredient databases - Community data is aggregated while allowing for user privacy ### URL Structure - `/home/` - Community feed containing user tracked data and posts - `/biomarkers/` - Biomarkers - `/effects/` - Effects - `/supplements/` - Supplements - `/supplements/products/` - Supplement products - `/fitness/` - Fitness routines - `/diets/` - Diets - `/posts/` - Community posts and protocols ## Privacy and Data Handling - Users control profile visibility (private/public) - Community features use data aggregation - Personal health data remains under user control - AI analysis operates on individual user data with privacy preservation ## Target Use Cases - Personal health optimization and self-experimentation - Supplement tracking - Effect tracking - Side effect tracking - Health pattern discovery - Diet tracking - Fitness tracking - Biomarker trend analysis - Community-driven protocol discovery - AI-powered analysis of health data - AI-powered recommendations for health interventions - Discovering positive effects of supplements - Discovering negative effects of supplements - Discovering positive effects of diets - Discovering negative effects of diets - Discovering positive effects of fitness routines - Discovering negative effects of fitness routines