PyjamaHR

AppSumo

'Customers are all about PyjamaHR, praising its AI-powered applicant tracking system that streamlines recruitment, easy job post builder, and intuitive interface for candidate tracking. While there are a few hiccups like limited job board options and minor mobile app limitations, the overall consens

'Customers are all about PyjamaHR, praising its AI-powered applicant tracking system that streamlines recruitment, easy job post builder, and intuitive interface for candidate tracking. While there are a few hiccups like limited job board options and minor mobile app limitations, the overall consensus is that PyjamaHR is hitting the mark and is a solid buy for those in need of an AI-powered applicant tracking system. Plus, with a 60-day money-back guarantee, it's worth giving it a try.'

Visit product View on AppSumoAug 12, 2024

Actual performance

10reviews

Did not reach leaderboard

Traction signals

Rating3.0 / 5

Purchases243

Launch Intel predictions

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

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

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, 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

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

22%22% 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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