PipFeed
APIs to Parse any news article
Save months of development time. Get a full features Parsing API to extract any article. Used by research analysts, VC firms, news apps, traders, and more.
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Launch Intel predictions
Analyze your own launch →74%74% 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.
54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.
20%20% 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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