EWWW Image Optimizer

AppSumo

EWWW Image Optimizer has received positive feedback for its seamless image optimization, stable site performance, and reliable CDN integration. Customers have praised its robust performance and responsive support. However, there have been occasional reports of 404 errors with related posts and minor compatibility issues with Oxygen Builder. Despite these issues, EWWW Image Optimizer remains a solid choice for efficient image optimization, especially with the added benefit of a 60-day money-back guarantee.

Visit product View on AppSumoSep 17, 2021

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Actual performance

120reviews

Made the leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: occasional, efficient, builder · Missing: plus, platform, intuitive

81%81% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

41%41% 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

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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