MakerKits
Resource Kits for Digital Product Makers
I’m a maker of digital products and keep myself up to date by reading ebooks, trying out newly launched apps, etc. I wanted to create a curated list of resources I find and also provide my insight on them via newsletter.
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Launch Intel predictions
Analyze your own launch →54%54% predicted probability of success on Indie Hackers, 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.
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
26%26% predicted probability of success on Hacker News, 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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