The Hybrid Hacker
Technical notes and hybrid geekeries
I wanted to write and read more. Maintaining a newsletter obliges you to do that. Then, if I am able to grow my audience, I will eventually think about how to monetize it, but at the moment it is not a priority.
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Launch Intel predictions
Analyze your own launch →56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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