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GlowNote

iOS · TestFlight

A local-first beauty memory app that helps users save and reuse makeup looks they know work for them.

Glow Note is an iOS app for capturing, organizing, and retrieving personally verified makeup looks instead of just tracking products. It combines look-based memory, inventory support, AI-assisted tagging, and seasonal color mapping to help users make faster, lower-regret beauty decisions.

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What I owned

Product concept definition0-to-1 information architectureCore data model design for Looks / Products / TagsLocal-first persistence architectureAI-assisted look naming and product attribute inferencePhoto import and camera-based product capture flowBarcode scanning and product database integrationSeasonal color map feature designVisual interaction system for cosmetic swatchesOnboarding and permission flowBilingual localization systemNotification and reminder experienceEnd-to-end iOS implementation

Tech Stacks

SwiftUICombineiOS native architectureCodable + local JSON persistence@AppStorage / UserDefaultsPhotosUIVisionKit / VisionUserNotificationsOpenAI APIDeepSeek APIOpen Beauty Facts APILocalization (Chinese / English)

Why this exists

Glow Note was built around an “adapted-for-women” product philosophy: beauty apps should support women's real decision-making, not push collection anxiety, comparison, or endless consumption. Instead of asking “what am I missing,” Glow Note asks “what already works for me,” and turns personal beauty experience into something searchable, repeatable, and self-defined.

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