Pythagora
Tool for generating automated integration tests for web apps
Both of us founders never had enough resources or time to maintain our codebases with a proper test suite. After I sold my last company, we started working together on completely automating the creation of tests.
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Launch Intel predictions
Analyze your own launch →77%77% 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.
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
42%42% predicted probability of success on AppSumo, 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.
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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AI contextual assistant for web apps