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The Global Literary Canon
The Global Literary Canon
The biggest complaint with aggregated book lists, is they are way too western focused. I made a page with some very specific country and author limits at an attempt to correct this. My site aggregates 305~ book lists and uses a weighted min max normalization algorithm. This has been my little side project for almost 15 years now.
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4points
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Launch Intel predictions
Analyze your own launch →63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
22%22% predicted probability of success on Product Hunt, 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.
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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