StatusEagle
Uptime monitoring application with less false alerts
I’ve used several uptime monitoring tools for work and often got frustrated by false alerts. That’s what inspired me to create a new tool that takes extra care to avoid sending false alerts.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
31%31% 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.
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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