Mail downloads your whole mailbox, and one setting changes that
Every account keeps a local copy of messages and attachments. Which settings control it and how to rebuild a mailbox safely.
830 guides
Mac storage, explained.
What fills your disk, where it hides, and what is safe to remove. Every guide gives you a way to check it on your own Mac.
How to back up a Mac that has no space left to back up with
Backups need working room, which is exactly what a full Mac lacks. The order that gets you backed up without deleting anything first.
A scanned page can be 20 MB, and a scanned book is a problem
Scans are images pretending to be documents. How to find the large ones and reduce them without losing readability.
A full disk does slow a Mac down, but not for the reason you think
Swap, snapshots and SSD behaviour each contribute at different thresholds. What actually changes, and what cleaning will not fix.
Which folders in ~/Library are safe to delete, and which will cost you
A folder by folder verdict on your Library, with what each one holds and what happens if it is gone.
Show hidden files on a Mac, and know which ones matter
One keyboard shortcut reveals the folders holding most of your disk. What becomes visible and what to do with each of them.
Dragging an app to the Trash is not uninstalling it
What each removal method actually does, why leftovers survive, and which method to use for apps from each source.
Two accounts on one Mac, and where the space actually goes
Each user has their own hidden folders and their own caches. How to see the whole disk, and what a shared folder does not solve.
Composer caches every package version, and vendor folders repeat them
The global cache plus a vendor folder per project means the same library many times over. What to clear and what to leave.
Scala keeps three caches and a target folder per project
Coursier, ivy and sbt each cache separately, and every project has its own build output. Where they are and what is safe.
R installs a package library per version, and keeps every version
Package libraries, renv caches and knitted output accumulate per project and per R release. What to prune and what to keep.
The notebook is small, the outputs and the datasets are not
Checkpoints, embedded outputs and downloaded datasets fill a data science Mac. What is derived, what is irreplaceable, and how to tell.