CrispCheck
Stop stitching together three tools. CrispCheck monitors you
I built CrispCheck because I got that message every founder dreads — a customer telling me my service was down before I even knew. I went looking for a monitoring tool I could set up in minutes without a 30-tab onboardin
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
17%17% 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.
Correct prediction on native model
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