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Self-updating MCP server for official pip, uv, poetry and conda docs
Self-updating MCP server for official pip, uv, poetry and conda docs
Share cardActual performance
30points
18comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →81%81% 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.
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
22%22% 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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