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Specil – A minimal and helpful tool for Spec-Driven Development
Specil – A minimal and helpful tool for Spec-Driven Development
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Launch Intel predictions
Analyze your own launch →47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on Indie Hackers, 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.
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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