MulMarket
Professional CS2 Skin Market Analytics & Arbitrage
I started building MulMarket because I was actively trading CS2 skins and felt that existing tools were either too basic, inaccurate with fee calculations, or required linking accounts in ways that didn’t feel transparen
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Launch Intel predictions
Analyze your own launch →60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
33%33% predicted probability of success on Product Hunt, 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.
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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