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Everydrop is a personalized feeding-support app for new parents. I founded it, designed it end to end, and now build it myself with AI.

Problem

Parents struggled to get trustworthy, personalized feeding support throughout their journey. The market was fragmented — they could track what was happening, search for information, or connect with an expert, but those experiences all lived separately.

Solution

Everydrop connects the whole journey on three principles: understand the context (track symptoms, baby's age and goals, not just feeds), turn that data into guidance personalized to the baby, and open a path to a lactation expert when self-service isn't enough.

Feeding is a journey: track, understand, act, get help
Exploring different ways to support the feeding journey
Research concept 1: chat community plus tracker
MVP feature prioritization by user need and complexity
The MVP screens
Design system: type scale and color tokens
Content library: personalized cards by baby's age
Content library
What I learned after the MVP
App screens across the feeding journey
Outcomes: a small but engaged core
AI changed how I build — now using Claude Code
What I learned building 0 to 1
RoleFounder & product designer
PlatformiOS · React Native + Expo
Year2024 – present
Focus0→1 · Health · AI-forward