LinkFork
Shorten and customize link preview
Linkfork as a no-code tool is a needed service in social media manager's tool belt.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
20%20% predicted probability of success on BetaList, 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.
Incorrect prediction on native model
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