logvoid
Analyzing business and tech news sentiment with NLP and AI
I'm a fan of natural language processing and find sentiment analysis fascinating.
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Launch Intel predictions
Analyze your own launch →52%52% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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A simplified business, tech & startup news app.