Hey Product Hunt community,
we have just launched a pilot version of ScentRev - an AI-driven fragrance engine that matches you to the perfect perfume based on your personality, mood, and lifestyle.
Most peopele don't struggle to buy a perfume, they struggle to choose one. the same happed to us after spending hours at fragrance counters only to leave with something that didn't feel like 'me', and finding the perfect layering perfumes would consume even more time and not sure whether they compliment each other or not. we decided to build a tool that sloves the discovery problem.
A few things we focused on to make scent discovery at ScentRev actually work:

• Personality Mapping: we. trnaslated abdtract traits and mood signals into concrete fragrance families (Ouds, Florals, citrus,etc.)

• Contextual Matching: Recomendations aren't just based on what you like, but where yyou're going whether it's office room or an outdoor.

• Personality Quiz: just a short personality quiz that delivers a recommendation that feels personal.

• Data-Driven Discovery: we mapped lifestyle cues and fragrance family data ti bridge the gap between human character and sensory scent.

we are actively buliding and would love honest feedback on:

1. How do you currently discover new fragrance? samples, influencers, or blind-buying?

2. Do you think personality-based recommendations can work for something as subjective as smell?

3. For the UX folks: How do you handle "subjective" data in a way that feels trustworthy to the users?