What "local-first" actually means
A lot of storage and file-management tools require you to send your files to the cloud before they can do anything useful: running searches, spotting duplicates, or building storage reports on a server somewhere else. DataBurrow takes the opposite approach. Every scan, every search, and every piece of analysis happens on your own computer. Nothing about your files or folder structure is ever uploaded.
Why we built it this way
In a survey I ran with 29 people, 79% said they've lost control of their file organization, and elderly users struggled with it most. Existing tools tend to solve this by either demanding a cloud upload or by ignoring accessibility altogether. DataBurrow was built to give you clarity about your storage without asking you to trade away privacy or usability.
What actually happens during a scan
When DataBurrow scans a drive, it reads each file's metadata, name, size, type, and modification date, along with a SHA-256 hash used for duplicate detection. It only reads file contents when you explicitly request a preview. It never modifies, moves, or deletes a file without your confirmation, and it makes no outbound network requests related to your files or file data.
What this website collects (and what the app doesn't)
It's worth separating the desktop application from this website. If you sign up for the waitlist or beta, or send a message through the contact form, this website stores the email address, and name, if you provide one, you give it, solely to respond to you or notify you about DataBurrow's launch. This website also uses Google Analytics, gated behind your explicit cookie consent, to understand aggregate traffic patterns. None of that runs inside the desktop application, and the application itself is telemetry-free.
Who local-first matters most for
This approach isn't just for privacy specialists. It matters for everyday users who want a tool that works well without needing to be comfortable with technical settings, for privacy-conscious users who don't want a cloud account or an upload step at all, and for people who want offline, keyboard-driven, hash-based duplicate detection they can trust for accurate, repeatable results.
What's next, without changing the promise
DataBurrow's roadmap includes optional, paid features like cloud sync across your own devices and multi-device scanning down the line. Local scanning, duplicate detection, and storage analysis stay free forever, and any future cloud features are opt-in additions on top of that, not a replacement for the local-first approach described here.