Virtual Doctor - AI Doctor App

TrustMRR

AI Health Assistant for educational health information, symptom awareness, prescription reading, and wellness tracking. Virtual Doctor is an AI powered health information and wellness assistant designed to help users learn about common health topics, medicines, prescriptions, and daily wellness. The app focuses on general health education, awareness, and personal wellness tools. It does not provide medical diagnosis or treatment.

Visit product View on TrustMRRJan 17, 2026Mobile Apps Mobile App B2C

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Actual performance

2customers

$15MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-17.1%

Launch Intel predictions

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

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% 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 · Missing: mac, agents, macos

34%34% 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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% 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

14%14% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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