CompeteDesk
Find buyer searches competitors already win.
CompeteDesk exists because buyers now compare software in search results and AI answers before they ever talk to sales. It gives teams a concrete weekly read on the searches and competitor mentions they are losing.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
30%30% predicted probability of success on BetaList, based on ML models trained on real launch data.
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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