
Actual performance
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →65%65% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
[w
[whitepaper] Monitoring containers and microservices in production59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
[whitepaper] Monitoring containers and microservices in production
Mi
Microservices monitoring56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Microservices monitoring
Mi
Microservices and container monitoring52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Microservices and container monitoring
Vi
Virtualization monitoring39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Virtualization monitoring
RB
RBLWatch - Blacklists monitoring49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RBLWatch - Blacklists monitoring
Ob
Obsessive monitoring51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Obsessive monitoring
Mo
Monitoring and Alerting with Graphite39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Monitoring and Alerting with Graphite
Cr
Crowdsourced Environmental Monitoring35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crowdsourced Environmental Monitoring
Op
Opsmatic configuration monitoring45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Opsmatic configuration monitoring
Re
Redisplay – Monitoring Redis with Arduino44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Redisplay – Monitoring Redis with Arduino