Pr

Profitable iOS Hydration App

Acquire.com

This consumer hydration tracking app helps people feel better every day by making water intake simple, motivating, and fun. Users learn their ideal goal, log drinks in seconds, get smart reminders, and earn playful achievements that build lasting habits.

This consumer hydration tracking app helps people feel better every day by making water intake simple, motivating, and fun. Users learn their ideal goal, log drinks in seconds, get smart reminders, and earn playful achievements that build lasting habits. The business is lean, proven, and growing. Bootstrapped, profitable, subscription-led, serving 500–999 customers. With $15.7K TTM revenue, $15.7K TTM profit, $16K ARR, and 42% YoY growth, it runs with virtually no overhead—ideal for a solo o...

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Actual performance

$1,333/yr
Did not reach leaderboard

Traction signals

Asking price$55,000
Annual revenue$16,000
Revenue multiple3.4x

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · 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.
Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, revenue, profit · Missing: mrr, saas, margin
76%76% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: ios, users, profitable · Missing: mobile apps, personal, entrepreneurs
75%75% predicted probability of success on TrustMRR, 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
44%44% 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
41%41% 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
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · 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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