Pokor
Free, unlimited planning poker for distributed teams
Every planning poker tool my team tried capped participants, stories, or sessions right when we needed them — or gave no clear answer about where the data went. So I built one for us.
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Launch Intel predictions
Analyze your own launch →51%51% 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.
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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Planning poker application