RestEz
Streamling washroom management with customer-driven insights
I want to make it easy for businesses to stay on top of their washroom management, whilst also allowing customers to anonymously view statuses and provide feedback
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
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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