Easify

AppSumo

Easify has received positive feedback for its AI-powered SMS, email, and voice broadcast capabilities. Users have praised the platform's responsive support team and polished iPhone app.

Easify has received positive feedback for its AI-powered SMS, email, and voice broadcast capabilities. Users have praised the platform's responsive support team and polished iPhone app. However, some users have experienced delays in the onboarding process and have raised concerns about multi-user functionality. Despite these minor drawbacks, Easify remains a solid option for those seeking a comprehensive customer outreach tool. With a 60-day money-back guarantee, it's definitely worth giving it a try.

Visit product View on AppSumoAug 7, 2025

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Actual performance

25reviews

Did not reach leaderboard

Traction signals

Rating3.2 / 5

Purchases505

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% 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, email · Missing: mac, agents, macos

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

AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

75%75% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 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.

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

18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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