Hyprnote – A privacy-first AI notepad that works locally

Hacker News

Hyprnote is a local-first AI notepad designed for people in back-to-back meetings. It's an open-source alternative for Granola AI. Here are the key things to know: 1. Runs on your Mac with no bots or cloud upload – the app uses on-device AI to process your raw notes and audio. 2. Creates enhanced summaries by combining your notes with surrounding meeting context. 3. No need to export or sync manually – it works like Apple Notes, but understands what was said. 4. Open-source and built with Rust + TypeScript (Tauri), it’s lightweight and respects your data. Why it matters: Most AI notetakers upload your meetings to the cloud. Hyprnote doesn’t. It runs everything locally – giving you full control over your data while still offering the benefits of modern AI. Check out our demo here: https://www.youtube.com/watch?v=-apfueHQHBk&t=2s

Visit product View on Hacker NewsApr 24, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, apple, context · Missing: agents, macos, agent

96%96% 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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% 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, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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