pomellow

TrustMRR

Pomellow is a category-leading mental health app with 20,000+ users acquired organically, with continuous inbound growth. Despite no pricing updates for over a year, it still generates paying customers—clear proof of strong product-market fit. In terms of activity, our DAU is around 220, and approximately 15,000 users have been active within the last 6 months. We’ve kept monetization minimal, as the app was designed as a top-of-funnel for future telehealth, prioritizing growth over revenue.

Visit product View on TrustMRRJun 25, 2024Health & Fitness Mobile App B2C

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Actual performance

15customers

$98MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-100.0%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, activity · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, growth, active · Missing: arr, mrr, profit

52%52% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

27%27% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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