HAVEN
Last updated: January 24, 2026
App Overview
HAVEN is a weekly calorie tracking app that challenges traditional daily restrictions by implementing a flexible 7-day budgeting system, that allow users to plan cheat days and stop felling guilty of having high calorie eating day. Built as a B2B2C platform, it serves both individual users seeking sustainable eating habits and fitness professionals managing client nutrition. The app features a unique baseline week where users track eating without judgment to establish personalized weekly budgets, enabling guilt-free cheat days and long-term habit sustainability.
Key Features
- •Weekly calorie budgeting instead of restrictive daily limits
- •7-day baseline week learning period with no-judgment tracking
- •Daily micro-check-ins: "Did yesterday differ from your baseline?"
- •Pre-planned cheat day system with automatic weekly calorie adjustments
- •AI-powered food recognition and nutrition estimation
- •Real-time trainer-client messaging and progress tracking
- •Automated weekly budget calculations based on baseline data
- •Comprehensive food logging with manual and AI-assisted entry
- •Trainer dashboard for managing multiple clients
- •Invite code system for secure trainer-client relationships
- •Progress analytics and weekly metrics tracking
Tech Stack
Challenges & Learnings
- •Paradigm shift: Weekly vs daily calorie thinking requires user education
- •Designing baseline week UX that motivates without judgment
- •Balancing dual audiences (B2B2C) with differentiated experiences
- •AI food recognition accuracy and nutrition estimation
- •Real-time features (messaging, updates) with offline capability
- •Comprehensive security with Row Level Security for multi-tenant data
Quick Links
Development Timeline
Conceptualization
December 10, 2025
Development
December 13, 2025
Launch
Not launched yet
Updates & Iterations
Completed comprehensive UI redesign with new design system (Teal #206E6B)
Implemented 7-day baseline week tracking with no-judgment learning period
Built dual authentication system for Trainers and Clients
Created AI-powered food recognition using GPT-4 Vision API
Developed trainer-client invite code system and relationship management