HTMLcore
An autodidactic framework to streamline online projects
After two decades of experience, I choose to self-educate using Node.js, Express, MongoDB and Gulp as my primary focus; with the understanding that there would be many problems to solve during the process.
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Launch Intel predictions
Analyze your own launch →40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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