Hi

High-Margin Screen-Time App That Helps Users Scroll Less

Acquire.com

This trending mobile app helps make social media less addictive by letting users choose how long they want to scroll, and when their timer runs out, it automatically boots them out—while operating as a strong cashflow business with an estimated 80–90% margin. Key Highlights ✅ Trending app that reduces social media overuse by enforcing a user-set scrolling time limit ✅ Automatically exits users from the app experience once their allotted time is up ✅ Strong cashflow profile with an estimated ...

This trending mobile app helps make social media less addictive by letting users choose how long they want to scroll, and when their timer runs out, it automatically boots them out—while operating as a strong cashflow business with an estimated 80–90% margin. Key Highlights ✅ Trending app that reduces social media overuse by enforcing a user-set scrolling time limit ✅ Automatically exits users from the app experience once their allotted time is up ✅ Strong cashflow profile with an estimated ...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$169,000

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
38%38% 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: margin · Missing: arr, mrr, revenue
34%34% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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