Chaos Toolkit
Free & Open Source Chaos Engineering Automation Tool
Empowering chaos engineers to be able to capture, automate and share their findings through chaos experiments.
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Launch Intel predictions
Analyze your own launch →51%51% 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.
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
30%30% 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.
12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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Coordinate the chaos.