Skarbe

AppSumo

Skarbe has received positive feedback from customers for its ability to track sales activity, automate follow-ups, and provide powerful suggestions. Users also appreciate its intuitive interface and seamless integration with major CRMs. However, some users have mentioned limitations with email integrations and the need for more robust team management features. With an overall rating of 4.7 and a 60-day money-back guarantee, Skarbe is a solid choice for those in need of an AI sales assistant.

Visit product View on AppSumoMay 19, 2025

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Actual performance

15reviews

Did not reach leaderboard

Launch Intel predictions

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

85%85% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, activity · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% 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

43%43% 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

18%18% 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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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