MamaSkin Pregnancy Skincare

MamaSkin Pregnancy Skincare

TrustMRR

MamaSkin is a pregnancy-safe skincare and beauty checker trusted by expecting and breastfeeding mums. It analyses real products (not just ingredients) against a 85k+ product database, with clear risk

MamaSkin is a pregnancy-safe skincare and beauty checker trusted by expecting and breastfeeding mums. It analyses real products (not just ingredients) against a 85k+ product database, with clear risk ratings tailored to pregnancy and breastfeeding, reducing uncertainty and avoiding generic AI advice.

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Actual performance

814customers
$4,106MRR/mo
Made the leaderboard

Traction signals

Domain Rating7
MRR growth 30d+17.0%

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
22%22% 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
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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