AroundDeal

AroundDeal

AppSumo

'Customers appreciate AroundDeal for its extensive database, user-friendly interface, and efficient lead generation capabilities. Some users have reported limitations in data access and occasional performance issues.

'Customers appreciate AroundDeal for its extensive database, user-friendly interface, and efficient lead generation capabilities. Some users have reported limitations in data access and occasional performance issues. However, with an overall positive rating of 4.0 and a 60-day money-back guarantee, it's worth giving AroundDeal a try for its sales and marketing intelligence and automation needs. Additionally, the founders have addressed limitations in data access and performance issues, demonstrating a commitment to continuous improvement.'

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Actual performance

45reviews
Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: friendly, occasional, interface · Missing: plus, platform, intuitive
88%88% 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
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, 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
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, 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.
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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