Mad AI: Angry Alarms

TrustMRR

Mad AI: Angry Alarms Mad AI is an AI-powered accountability coach built to help you set goals, beat deadlines, and prove you actually finished the work. Mad AI helps you: • Set daily goals • Add deadl

Mad AI: Angry Alarms Mad AI is an AI-powered accountability coach built to help you set goals, beat deadlines, and prove you actually finished the work. Mad AI helps you: • Set daily goals • Add deadlines for accountability • Upload proof of completion • Track progress and consistency • Get AI-powered accountability messages and reminders

Visit product View on TrustMRRApr 1, 2026Mobile Apps B2C revenuecat

Actual performance

24customers

$76MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-85.5%

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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