Privacy

Last updated August 24, 2026.

Deep Focus is a static web page with no backend. It does not ask you to create an account, it has no login, and it never sends your timers, tasks or statistics anywhere. Everything you do in the app is written to your own browser's localStorage and stays on the device you used.

What is stored in your browser

Deep Focus writes exactly six localStorage keys on this site's origin:

• deepfocus.settings.v1 — your focus, short break and long break lengths, how many sessions precede a long break, the auto-start toggles, whether the countdown appears in the title bar, whether desktop notifications are enabled, the chime on/off state and volume, the selected soundscape and its volume, and your chosen theme.
• deepfocus.queue.v1 — the session queue: an ordered list of upcoming focus and break entries with a generated identifier for each.
• deepfocus.timer.v1 — the current session's type, its total length, the remaining milliseconds and the timestamp at which it ends, so a reload or a browser restart resumes exactly where the clock is.
• deepfocus.tasks.v1 — the task text you typed, its estimated pomodoro count, the actual count completed, whether it is done, and the creation and completion timestamps.
• deepfocus.sessions.v1 — completed focus sessions: start and end timestamps, length in minutes, the linked task identifier if any, and the calendar day. The most recent 5,000 sessions are kept.
• deepfocus.log.v1 — the daily log lines shown under Tasks, kept for 14 days and then discarded automatically.

That is the complete list. There are no cookies, no sessionStorage, no IndexedDB databases and no fingerprinting of any kind. The service worker additionally keeps a cache of the app's own files (the HTML, stylesheet, script, icons and manifest) so the app opens offline; that cache contains no personal data.

What is not collected

Deep Focus does not collect your name, email address, phone number, location, contacts, or any other personal data, because it never asks for them and has nowhere to send them. Your task titles are never transmitted. There is no advertising, no third-party tracking pixel, no social widget and no analytics of your work sessions.

Anonymous performance monitoring

If the deployment has frontend monitoring enabled, the page loads Tencent Cloud RUM after the first paint to record anonymous, aggregate performance and error data: page load timings, JavaScript errors, the browser and operating system reported by your user agent, and a coarse traffic-channel label derived from the referring site and any UTM parameters in the URL (for example "search", "social", "ai_referral" or "direct"). This is used to understand how the page performs and where visitors arrive from. It never includes your tasks, your sessions, your settings or anything else from localStorage. Blocking that script — with a content blocker or by staying offline — has no effect on the timer, which works entirely without it.

Notifications

If you turn on desktop notifications, your browser asks for permission the first time you press Start. The notification is created locally by the page; nothing is routed through a push service and no device token is generated or shared. You can revoke the permission at any time in your browser's site settings.

Your control over the data

You can export everything to a JSON file from the Settings panel, import it into another browser, or erase all of it with the "Erase all data" button, which removes every key listed above. Clearing site data for this domain in your browser has the same effect. Because the data lives only on your device, uninstalling the app or clearing your browser storage deletes it permanently and it cannot be recovered by us or by anyone else.

Children

Deep Focus is a general-purpose timer and is not directed at children under 13. Since no personal data is collected from anyone, none is collected from children either.

Changes and contact

If the storage behavior described here ever changes, this page will be updated along with the app. Questions about this app can be directed through the case page at https://quodara-ai.com/showcase/deep-focus/.