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Claude and Apple Notes integration using MCP
Hacker NewsClaude and Apple Notes integration using MCP
Hi all, With MCP (Model Context Protocol) announcement, it is now possible to plugin local system to Claude. So, I decided to use JXA to pull content from Notes.app, turn them into embeddings locally/on device using Transformer.js and store them in a local LanceDB database so we can build a proper RAG on top of it (mixture of semantic and BM25 search). Hope some of you find it useful!
Share cardActual performance
1points
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, apple · Missing: mac, agents, macos98%98% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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