Th
The University of Chicago's Django-powered Humans vs. Zombies website
The University of Chicago's Django-powered Humans vs. Zombies website
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →66%66% predicted probability of success on BetaList, 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.
nativeThis product was originally launched on this platform.
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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