PanelScout
Tool for web devs to define project scope/client preferences
I build sites freelance occasionally for clients. A common issue is trying to understand what the client wants exactly, and the design preferences the client has. PanelScout helps people like me define the project scope.
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Launch Intel predictions
Analyze your own launch →54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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