Gratify
The Smart Way to End Projects & Keep Clients Engaged
I created Gratify because I wanted a simple way to close projects professionally while keeping clients engaged for future work. Too often, project handovers feel incomplete—lost files, missed feedback, and no clear next
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Launch Intel predictions
Analyze your own launch →54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
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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