Full Stack SaaS Product Cookbook

Full Stack SaaS Product Cookbook

Indie Hackers

From Soup 🍜 to Nuts πŸ₯œ - Create a SaaS Product in Days!

I realized I was always looking up the same configuration steps and details for every. So I decided to write this book to put it all in one place once and for all.

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Actual performance

2followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch β†’
Indie HackersFits the IH revenue-focused audience Β· Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community Β· Strong signals: ide, io Β· Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard Β· Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR Β· Strong signals: way Β· Missing: mobile apps, ios, personal
29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience Β· Strong signals: saas Β· Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal Β· Missing: plus, platform, intuitive
19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers Β· Missing: web3, chat, crypto
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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