MobileHR

AppSumo

Customers appreciate MobileHR for its intuitive user experience, robust functionality, and 100% mobile accessibility. Some users have noted minor navigation issues and limited customer support.

Customers appreciate MobileHR for its intuitive user experience, robust functionality, and 100% mobile accessibility. Some users have noted minor navigation issues and limited customer support. Overall, the overwhelmingly positive feedback makes MobileHR a solid choice for small and medium businesses in need of efficient HR management. The love for MobileHR is loud and clear, making it a worthy investment for those seeking a revolutionary HR solution. However, it's important to note that support is free and extensive videos are available for setup and support, addressing any potential concerns about limited customer support.

Visit product View on AppSumoMar 28, 2022

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Actual performance

21reviews

Did not reach leaderboard

Traction signals

Rating4.8 / 5

Purchases249

Launch Intel predictions

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

72%72% 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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, users · Missing: mobile apps, ios, personal

39%39% 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

31%31% 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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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