Trimwire Observe
Control and manage vendor spend
Building a better way for companies to track and manage their spending without relying on spreadsheets.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
46%46% predicted probability of success on Product Hunt, 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.
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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