Users Loop
Helping SaaS teams communicate better with customers.
Running SaaS products ourself, it was always a struggle to collect, manage and prioritise feedback. Existing tools were either too limited, too hard work, or priced for enterprise.
Share cardActual performance
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Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
48%48% predicted probability of success on TrustMRR, 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.
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
33%33% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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Helping product & design teams make better decisions