Mental Health AI and VR platform for organizations and individuals to reduce stress and quit smoking

Acquire.com

This AI and VR mental health platform helps organizations and individuals lower stress and quit smoking. It blends AI guides, teletherapy, virtual reality, and personalized plans to build daily coping skills, boost productivity, and break harmful habits with measurable results. Operating since 2017, it’s validated through programs with global employers, public health teams, and top universities. The business is lean and recurring: $429k ARR, $312k TTM profit, 15% growth, and strong retention...

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Actual performance

$35,750/yr

Made the leaderboard

Traction signals

Asking price$1,200,000

Annual revenue$429,000

Revenue multiple2.8x

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% 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

15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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