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Docustore – Vectorized Technical Documentations
Docustore – Vectorized Technical Documentations
docustore's aim is to provide up-to-date, off-the shelf and plug-and-play context for LLMs from a curated list of frameworks/sdks. It has a 4 step pipeline: scrape the documentation - clean it - vectorize it - package it. My vision is to host it somewhere and develop an API/MCP around it so it will be development-environment agnostic.
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Launch Intel predictions
Analyze your own launch →72%72% 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.
54%54% 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 Indie Hackers, based on ML models trained on real launch data.
46%46% predicted probability of success on TrustMRR, 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.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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