Aw
Awesome CTF – A curated list of CTF libraries, resources and softwares
Awesome CTF – A curated list of CTF libraries, resources and softwares
Share cardActual performance
4points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →77%77% 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.
64%64% predicted probability of success on Hacker News, 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.
39%39% 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.
23%23% predicted probability of success on Product Hunt, 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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