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Shadetwin.app
AI makeup shade matching from thousands of creator videos
ShadeTwin analyzes thousands of real beauty creator try-on videos to tell you which foundation shade actually matches you based what you currently wear. Beauty shoppers spend hours scrolling and searching for their "shade twins" before buying a new product. ShadeTwin organizes the answer: your shade twins and what they're wearing, found in seconds, across 2300+ products from 180+ brands.
I'm Shivya, founder of ShadeTwin app. I spent 6+ years building shade-finding tools at L'Oréal that I scaled across 8 brands across 32 countries, and one problem never went away for our online sales channel: shoppers can't trust if a makeup shade will actually match you in real life.
A HEX code swatch looks different on each screen. "light medium, neutral undertone" is too broad. So people do the thing every brand hates - they leave the product page, open TikTok or YouTube, and hunt for someone with their skin tone wearing that exact shade. We call it the tab-out problem.
Across Reddit, TikTok, and YouTube, a recognizable pattern has emerged within beauty communities: people share the foundation shades and ask others to help identify their "shade twins" - individuals with matching skin whose recommendations they can trust. It has become a ritual of its own.
The instinct is sound, but the process is laborious. Finding a true match means scrolling through threads, cross-referencing shade names, and hoping that someone with your exact complexion happened to post.
We turned the viral shade-twin trend into an automated solution - Shadetwin.app.
Two ways to use it:
1. If you're shopping: find your shade twins and see the verdict before you spend the money. 2. If you're a brand: add our widget to your product page so shoppers get the answer right there.
It's early, and I'd really love your honest take, whether the matches feel right, and what you'd want next. Happy to talk beauty data, the creator-video pipeline, or building a B2C+B2B product.
Thank you for your support!
About Shadetwin.app on Product Hunt
“AI makeup shade matching from thousands of creator videos”
Shadetwin.app was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #106 on the daily leaderboard. ShadeTwin analyzes thousands of real beauty creator try-on videos to tell you which foundation shade actually matches you based what you currently wear. Beauty shoppers spend hours scrolling and searching for their "shade twins" before buying a new product. ShadeTwin organizes the answer: your shade twins and what they're wearing, found in seconds, across 2300+ products from 180+ brands.
On the analytics side, Shadetwin.app competes within SaaS, E-Commerce and Beauty & Fashion — topics that collectively have 86.8k followers on Product Hunt. The dashboard above tracks how Shadetwin.app performed against the three products that launched closest to it on the same day.
Who hunted Shadetwin.app?
Shadetwin.app was hunted by Shivya Bansal. 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.
For a complete overview of Shadetwin.app including community comment highlights and product details, visit the product overview.
Shivya Bansal
Hi Product Hunt!
I'm Shivya, founder of ShadeTwin app. I spent 6+ years building shade-finding tools at L'Oréal that I scaled across 8 brands across 32 countries, and one problem never went away for our online sales channel: shoppers can't trust if a makeup shade will actually match you in real life.
A HEX code swatch looks different on each screen. "light medium, neutral undertone" is too broad. So people do the thing every brand hates - they leave the product page, open TikTok or YouTube, and hunt for someone with their skin tone wearing that exact shade. We call it the tab-out problem.
Across Reddit, TikTok, and YouTube, a recognizable pattern has emerged within beauty communities: people share the foundation shades and ask others to help identify their "shade twins" - individuals with matching skin whose recommendations they can trust. It has become a ritual of its own.
The instinct is sound, but the process is laborious. Finding a true match means scrolling through threads, cross-referencing shade names, and hoping that someone with your exact complexion happened to post.
We turned the viral shade-twin trend into an automated solution - Shadetwin.app.
Two ways to use it:
1. If you're shopping: find your shade twins and see the verdict before you spend the money.
2. If you're a brand: add our widget to your product page so shoppers get the answer right there.
It's early, and I'd really love your honest take, whether the matches feel right, and what you'd want next. Happy to talk beauty data, the creator-video pipeline, or building a B2C+B2B product.
Thank you for your support!