Chunk – time-block your day from the macOS menu bar

Hacker News

Hi HN Dudley here, tech lead on Chunk. Chunk is a macOS menu bar app for time-blocking. It opens with Cmd + / and slides down over whatever you're doing - including fullscreen apps. There's also a live countdown in the tray for the current block. Click-and-drag to create blocks, day/week views, Google/Outlook/Apple Calendar sync, Apple Reminders integration, and a Todo mode where tasks can be dragged onto the timeline. Templates and Routines let you build an ideal day once and auto-apply it on chosen weekdays. There's a local MCP server, so you can ask Claude Desktop to plan your day and it reads/writes blocks directly. Native macOS, not Electron. One-time lifetime licence, 7-day free trial, no card. We use it every day — happy to answer anything.

Visit product View on Hacker NewsApr 26, 2026

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

92%92% 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 · Strong signals: including · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps, google · Missing: mobile apps, ios, personal

50%50% 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, including · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

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

21%21% 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

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

Correct prediction on native model

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