Tideways
PHP Application Monitoring, Profiling and Exception Tracking
We wanted to find out PHP performance during load-testing of e-commerce shops and built this tool, which then expanded into all the functionality an application performance monitoring solution, focusing on PHP.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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