Ombra Tattoo

TrustMRR

Ombra helps people explore their next tattoo with AI. Users can create personalized tattoo designs, discover zodiac-inspired ideas, and visualize cover-up concepts using a photo of their existing tattoo. The app offers a guided creation experience, a tattoo inspiration gallery, and a personal library for saving results, with subscriptions managed through RevenueCat.

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Actual performance

125customers

$1,452MRR/mo

Made the leaderboard

Traction signals

MRR growth 30d+5.1%

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: personal, visualize, users · Missing: mobile apps, ios, entrepreneurs

72%72% 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

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, visual, using · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, subscription · Missing: arr, mrr, profit

15%15% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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