QuickAds

AppSumo

QuickAds has received positive feedback for its efficient ad discovery tool, AI-powered ad generation, and responsive customer support. However, there have been occasional bugs and limited credits in tier plans, which have caused some minor issues. Overall, QuickAds is a solid choice for those seeking AI-powered ad creation, and with a 4.2 rating and a 60-day money-back guarantee, it's worth considering.

Visit product View on AppSumoJun 13, 2025

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Actual performance

76reviews

Made the leaderboard

Traction signals

Rating4.0 / 5

Purchases534

Launch Intel predictions

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

73%73% 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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% 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

38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

34%34% 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

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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