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Force beauty industry to stop BS’ing consumers

Hacker News

Force beauty industry to stop BS’ing consumers

https://whatsinmyjar.com/ Consumers spend over 130 B usd annually on skincare products. That’s a lot of hard-earned money. Many of these consumers feel insecure about their appearance (acne, first wrinkles, skin not as smooth as the butt of an Instagram influencer) and literally want to buy a “hope in a jar”. Exploiting insecure consumers with overblown marketing claims is just not nice, but beauty companies do it all the time. Some of them literally call their product a “Magic Cream”. Time we use some data and science to put an end to it. At What’s In My Jar we developed an algorithm that evaluates skincare products based on whether or not the product works to deliver what it promises. We are on a mission to bring transparency into the market, helping people make more effective and economical skincare choices. Check us out and let us know what you think! https://whatsinmyjar.com/

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49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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