Launch Intel
AI

AI-powered biohacking app delivering personalized habit routines for peak performance and wellness

Acquire.com

This lean, AI-powered subscription app operates in the digital wellness and biohacking space, delivering personalized habit-building routines via iOS/Android and web funnels. With four proven DTC verticals (anti-alcohol, anti-vaping, testosterone, high performance), 88% recurring revenue, and a fully proprietary tech stack, the business runs efficiently with a 42-person in-house team and no physical assets.

This lean, AI-powered subscription app operates in the digital wellness and biohacking space, delivering personalized habit-building routines via iOS/Android and web funnels. With four proven DTC verticals (anti-alcohol, anti-vaping, testosterone, high performance), 88% recurring revenue, and a fully proprietary tech stack, the business runs efficiently with a 42-person in-house team and no physical assets. Driven by Meta and Google paid acquisition at scale, the platform generated $12.69M T...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$10,000,000

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios, efficiently · 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, physical · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, personal, google · Missing: mobile apps, entrepreneurs, apps
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, recurring, subscription · Missing: arr, mrr, profit
36%36% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, efficient · Missing: plus, intuitive, reviews
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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