Launch Intel
Mo

Mobile app for improving the quality of photos and fixing blurriness

Acquire.com

Mobile app with $2,000 in TTM revenue and $1,870 in TTM profit, that is an advanced application that helps you improve the quality of your photos. Whether you're dealing with blurry, old, or low-resolution pictures, this app has the tools to restore them to their former glory.

Mobile app with $2,000 in TTM revenue and $1,870 in TTM profit, that is an advanced application that helps you improve the quality of your photos. Whether you're dealing with blurry, old, or low-resolution pictures, this app has the tools to restore them to their former glory. One of its key features is the Blurry Photo Fixer, which uses advanced algorithms and AI to unblur and clear up images that are out of focus or shaky. ✅ $2,000 in TTM revenue ✅ $1,870 in TTM profit ✅ $302 in revenue l...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$7,500

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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released
50%50% 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, ttm · Missing: arr, mrr, saas
43%43% 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
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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