SupaNexTail
A Next.js boilerplate with Supabase, TailwindCSS and Stripe
I created SupaNexTail because I was tired of doing the same thing over and over every time I started a new project. I had the same stack and wanted to build something that will save me a lot of time.
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Launch Intel predictions
Analyze your own launch →75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
75%75% 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 Hacker News, based on ML models trained on real launch data.
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
25%25% predicted probability of success on AppSumo, 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.
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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