Scascan
Privacy-first tools. 100% browser-based. Zero cost.
I’m building Scascan to challenge the idea that useful tools must cost money or user data. It exists to create a future where essential digital tools are free, private, and accessible to everyone.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →54%54% 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.
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.
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
21%21% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
20%20% predicted probability of success on Product Hunt, 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.
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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