Shipright
Track product feedback in one organized place
Product feedback comes from a multitude of customer-facing channels or colleagues. It's hard to track, we experienced. We offer a solution to help track common requests and pain points to guide product decisions.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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