As
Askbend – SQL-Based Knowledge Base Search and Completion
Askbend – SQL-Based Knowledge Base Search and Completion
AskBend is a Rust project that utilizes the power of Databend and OpenAI to create a SQL-based knowledge base from Markdown files. You can easily use blogs or documents as data sources and host your own instances.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
78%78% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
35%35% predicted probability of success on AppSumo, 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.
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
30%30% predicted probability of success on BetaList, based on ML models trained on real launch data.
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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