TestNot
No-code platform for UI testing
From my experience UI testing frameworks are complex, often change and you need to maintain the code. With no-code tool like this one you are focused on product, not the tests.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
46%46% predicted probability of success on Hacker News, 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.
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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