Li
Libvldmail, your friendly e-mail address validation library
Libvldmail, your friendly e-mail address validation library
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
43%43% predicted probability of success on BetaList, based on ML models trained on real launch data.
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
32%32% predicted probability of success on Product Hunt, 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.
18%18% 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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