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Building a Database of False DMCA Takedowns
Building a Database of False DMCA Takedowns
This site was set up in response to the HN story about a site getting taken down by another site that had the gall to plagiarize it then issue a DMCA. http://news.ycombinator.com/item?id=5174121
Share cardActual performance
67points
16comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
27%27% predicted probability of success on Indie Hackers, 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.
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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