NLUDB
Query natural language content
NLUDB makes it easy to use NLP in production without worrying about ML Ops and ML Engineering. Just insert documents and then ask questions -- about similarity, sentiment, classifications, and more.
Visit productView on Indie HackersJun 1, 2021commitment-full-timeemployees-under-10founders-code-yes
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →71%71% 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.
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
43%43% predicted probability of success on TrustMRR, 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.
17%17% predicted probability of success on BetaList, 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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