The List Space
A place to find, follow and create lists!
I always wanted to consume what people who inspire me consume. I think doing so would help me acquire certain lenses which I lack. So, this is my attempt to make it easy for people to share what content they consume.
Share cardActual performance
2followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →58%58% 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.
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% 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.
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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