My No-Code Journal
A step by step tutorial to making your own online journal!
After taking the 100 Days of No-Code challenge I wanted to create a resource based on what I learned for other people starting out. By creating an online journal participants are setting themselves up for success.
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Launch Intel predictions
Analyze your own launch →50%50% 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.
43%43% 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 TrustMRR, based on ML models trained on real launch data.
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
22%22% 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.
Correct prediction on native model
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