23 ideas for your next SaaS
The book contains full descriptions of 23 ideas of SaaS apps
I wrote down all the ideas of apps during about 5 years. One day I decided to share some of them as a free newsletter, and then I thought that book sounds interesting. I added 7 more ideas and the book was born.
Share cardActual performance
3followers
$56MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
33%33% predicted probability of success on TrustMRR, 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.
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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ARBICHAT, S.L.33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SaaS B2C PPU de provisión de datos