Baby nutrition & meal planning
BabyFoods
BabyFoods helps parents plan meals and snacks with age-appropriate guidance, personalized suggestions, and a subscription-driven experience.
In reviewOwned & built end-to-end
Impact
Role
End-to-end ownership
Status
In review
Focus
Baby nutrition & meal planning
Platform
iOS / Android
What I did
- Owned delivery end-to-end: product direction, Flutter implementation, backend integrations, and store-ready execution.
- Designed production-grade architecture for speed, scalability, and clean iteration cycles.
- Built subscription + analytics/release workflows to support ongoing growth post-launch.
Highlights
- Subscription-ready flows (RevenueCat) with paywall + entitlements
- Performance-first UX for quick daily logging and browsing
- Scalable backend-ready structure for personalized content
Challenges
- Designing for busy, real-life usage: fast flows, minimal friction, clear information hierarchy.
- Keeping guidance trustworthy while staying simple and not overwhelming new parents.
- Building subscription flows that feel premium (paywall, entitlements, restore) without hurting conversion.
- Preparing an architecture that can scale to personalization, analytics, and content iteration over time.
Architecture and delivery
- Feature-first structure with clear boundaries for content, tracking, and subscription modules.
- Typed models + predictable state handling to keep UX stable under frequent iteration.
- RevenueCat integration with clean entitlement checks and restore flows for production readiness.
- Analytics-ready event points and release-friendly structure for fast iterations after launch.
Tech stack
FlutterFirebaseRevenueCat
Problem
Parents need a simple, reliable way to plan baby meals and snacks without digging through scattered sources — especially on busy days.
Solution
A clean, mobile-first product with a subscription model, structured content, and an architecture designed for scalable personalization.
Outcome
Store-ready product prepared for review with a strong foundation for future growth: richer recommendations, analytics, and iterative releases.