JotDown – Menubar Extension for Apple Notes

Hacker News

Hi HN, I made JotDown, it's a small macOS menubar extension for quickly adding notes to Apple Notes. Why: I often want to take quick notes and only put it in apple notes if I need that text later on. I wanted something lightweight, always accessible, and integrated with the native Notes ecosystem. How it works: Menubar shortcut — Launch a popup from menubar to type text. AppleScript — It uses AppleScript to save the note into Apple Notes. If the Notes app isn’t running, it can either launch it in the background (via AppleScript) or Shortcuts integration — I can save notes without launching Notes app at all, via the “Create Note” action in Apple Shortcuts. Some features: Custom keyboard shortcuts — To open the popup instantly. Popup window — I can launch the note entry popup as a window that can be pinned to float over other windows. Looking for feedback: Does this kind of tool fit into your workflow? Any features you’d like to see added? Link: https://jotdown.rishisingh.in Thanks for reading! Happy to answer any questions.

Visit product View on Hacker NewsJun 24, 2025

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

95%95% 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

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

48%48% 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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%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, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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