Splitstack
Server-side split testing made easy
We are building Splitstack to solve our own problem: finding an affordable and easy-to-use tool for server-side testing.
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Launch Intel predictions
Analyze your own launch →50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
29%29% predicted probability of success on AppSumo, 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.
17%17% 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.
Correct prediction on native model
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