Practitioner-Grade Supplements Delivering Trusted, Transparent Wellness Solutions

Acquire.com

This profitable practitioner-grade supplement business offers a portfolio of 43 branded nutritional products focused on stress, sleep, hormone balance, gut health, and overall wellness. Operating through Shopify, Amazon, and wholesale distribution, it combines transparent formulations, third-party tested products, and strong customer loyalty with a lean remote team and streamlined operations.

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$5,650,000

Launch Intel predictions

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

75%75% 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.

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

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

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

37%37% predicted probability of success on Product Hunt, 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, profit, profitable · Missing: arr, mrr, saas

35%35% 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 · Missing: plus, platform, intuitive

34%34% 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

31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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