This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
MUSE
Turn the clothes you own into outfits for your plans
Stop staring at a full wardrobe with nothing to wear. MUSE helps you build outfits from clothes you already own. Add clothing photos, ask the AI stylist about your plans, refine a look, and preview it on your personal avatar. Plan a week of outfits or a trip with a packing list, all in one native iPhone app. Available in English and Simplified Chinese.
Hi Product Hunt! I'm Qingyuan, a maker of MUSE.
A full wardrobe shouldn't mean starting from scratch every morning. We built MUSE to connect the clothes you already own with the things you actually have planned.
Here's the flow:
1. Add clothing photos to your digital wardrobe.
2. Tell the MUSE stylist what you're dressing for, such as a workday followed by dinner.
3. Refine the outfit and preview it on your personal avatar.
4. Plan your week, or organise daily travel looks and a packing list.
MUSE is available now for iPhone, in English and Simplified Chinese. Virtual try-on is a styling preview, rather than a sizing or fit guarantee.
I'd love to hear where deciding what to wear gets hardest for you: everyday outfits, dressing for an occasion, or packing for a trip?
No comment highlights available yet. Please check back later!
About MUSE on Product Hunt
“Turn the clothes you own into outfits for your plans”
MUSE was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #47 on the daily leaderboard. Stop staring at a full wardrobe with nothing to wear. MUSE helps you build outfits from clothes you already own. Add clothing photos, ask the AI stylist about your plans, refine a look, and preview it on your personal avatar. Plan a week of outfits or a trip with a packing list, all in one native iPhone app. Available in English and Simplified Chinese.
MUSE was featured in Fashion (14.7k followers) and Artificial Intelligence (482k followers) on Product Hunt. Together, these topics include over 138.6k products, making this a competitive space to launch in.
Who hunted MUSE?
MUSE was hunted by Qingyuan Yang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how MUSE stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Qingyuan Yang