⎯⎯ Pre-MVP. Private access.
Helping people decide what to wear using what they already own.
Flare is building an intelligent wardrobe system designed to reduce daily outfit decision fatigue. This is an early-stage product, currently pre-MVP.
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⎯⎯ The Problem
Getting dressed is harder than it should be.
Most people own plenty of clothes, yet still struggle every day to decide what to wear.The decisions repeat daily. Time and mental energy are wasted. Confidence drops when outfits feel wrong.
Existing solutions focus on inspiration, rules, or buying more clothes. None of them reduce the decision itself.
⎯⎯ The Solution
A wardrobe that helps you decide.
Flare turns your existing wardrobe into a simple decision system.You upload what you already own. The system is designed to adapt to your preferences and context over time. You receive clear outfit guidance, not endless options.
The goal is guidance, not automation. Fewer options are the feature.
⎯⎯ MVP Scope
What the first version includes:
Simple onboarding
Wardrobe upload (photos and basic tagging)
AI-supported outfit suggestions
Planned future developments (not in the MVP):
Marketplace and resale features
Social or creator features
Sustainability scoring and analytics
| This scope is intentionally narrow to test one core behaviour: Do users return weekly to get outfit guidance?
⎯⎯ Early Signal
Built from real conversations, not assumptions.
Founder-led user interviews
Two surveys completed with 44 total responses
Consistent language around daily friction and confidence
These signals are qualitative, not statistically representative.
The MVP is the first real proof point.
⎯⎯ Why Now
Why now.
People already share personal data daily, but lack tools that reduce everyday decisions.
Choice overload has increased, not decreased.
Generic advice and more shopping have failed to create clarity.
Software can now support guidance without replacing judgement.
Mobile habits fit daily outfit decisions.
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