Dokpod
AI Knowledge Vault for Cursor & Claude
As a developer using Cursor and Claude daily, I got tired of wasting API credits re-uploading the same UI screenshots and specs. I built Dokpod as an MCP vault to index assets once and save token costs.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →93%93% 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.
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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