BeautyBoostr offers personalized skincare and facial massage routines designed by experts for 36 skin types. Reduce wrinkles, boost collagen, lift features, and feel confident in your skin with science-backed solutions, all from the comfort of home.
Master skincare: your path to pro-level results
BeautyBoostr offers personalized skincare and facial massage routines designed by experts for 36 skin types. Reduce wrinkles, boost collagen, lift features, and feel confident in your skin with science-backed solutions, all from the comfort of home.
Hi, Product Hunt! 👋 I’m thrilled to introduce BeautyBoostr, a project born from my passion for skincare and self-care on which so far team and me was working for more than a year. As someone who’s spent years in beauty research, I wanted to create a solution that combines the power of personalized skincare with expert facial massage programs. With BeautyBoostr, you get customized routines for 36 distinct skin types and 11 professional-grade facial massage programs. Our goal is to help you reduce
As a co-founder, I’m so happy to represent our product, which my partner Oleksandra and I have created for women all over the world (though men will also find it incredibly useful!). I’m so proud of our entire team and grateful for their support every step of the way! As a massage therapist, I’ve worked with many clients and have always seen the potential of self-massage routines that women can easily do at home, anytime, anywhere. I’ve witnessed amazing results from those who practiced regularl
I live the idea of this App. I will share App with my female friends. I wish good luck fot Team!
This App will change life of many people, believe on that!👌
Great app,very easy to catch and explore everything.The most important that you can choose your skin's type and follow all instructions and just repeat after professional. 👍👍💙💛
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.