SiteBrief
Uptime & website monitoring for agencies
I built SiteBrief because managing uptime, SSL, and performance for dozens of client sites was a mess — spreadsheets, multiple tools, manual checks. Agencies needed one place to monitor everything and automatically send
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Launch Intel predictions
Analyze your own launch →59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
48%48% predicted probability of success on Product Hunt, 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.
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
18%18% 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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