DailyBrew is a lightweight tracking platform designed to help people understand their daily coffee habits. The product focuses on clarity and self awareness by turning simple inputs into meaningful insights.
This project was created as an experiment to test Lovable as a rapid product creation tool.
The Product
DailyBrew allows users to log their coffee consumption and automatically transforms that data into insights such as:
Number of coffees per day
Most frequent coffee hours
Preferred coffee types
Daily and weekly quantity trends
The experience is intentionally simple, reducing friction so users can focus on consistency rather than data entry.
Goal
The main goal was to validate how fast a functional, insight driven product could be built using Lovable, while maintaining a clean UX and a clear value proposition.
Outcome
The result was a functional tracking experience that demonstrates how personal habit data can be visualized in a simple and motivating way. DailyBrew proved effective as a concept for habit awareness and as a test case for rapid product experimentation using AI driven tools.
My Role
Product concept definition
UX and UI design
Data structure and insight logic
End to end execution using Lovable
Why it matters
DailyBrew shows how small daily behaviors can become actionable insights with minimal effort. It also highlights how AI powered platforms like Lovable can accelerate idea validation and product exploration.