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bingud

Re:GLM Built Its Own Inference Infrastructure on Thursday September 17, 2026 @06:27AM (#49738736)
breaking Anthropic TOS and misleading users
Depends on how you'd want to control the access, you could make an account for each email and configure access per account/role, or share the files publicly and set a password (you can set a different password per user). For more config-based control, there's currently nothing like filtering emails with regex or similar.
I haven't heard of OFM so I didn't design it around those specs, but i'll look into it. Thanks for the link
That's one of the use-cases I had in mind when making this. The permissions are right in the sidebar, so that it's easy to set which people can (or can't) see or edit a given file.
Thanks, I guess a more conventional way to call it would be something along the lines of self-hosted cloud storage. I'd say it's about halfway between Google Drive and Windows Explorer.
Sorry, I didn't explain that properly. I meant app-level permissions rather than actual filesystem permissions.

There are some file managers that offer permissions, but only for their own internal data folder, so they don't work for files elsewhere on the filesystem.

As for filesystem support, it currently only runs on Linux, although I want to remove this limitation in the future.

Show HN: Filemat – an open-source web-based file manager

https://github.com/bingud/filemat

Hello HN,I would like to share Filemat, a web-based file manager that I built because I wanted something with a simple setup and file permissions that work across the filesystem (as opposed to permissions only for a folder managed by the app).It's self-hosted and open-source (currently in beta).I'd be happy to hear your feedbackRepo: https://github.com/bingud/filemat

( Read More... | 14 comments | 10 points | on HN )
thats a cool idea, nice app

maybe 'star-history.com' could be filtered from the README so that people cant cheat by looking at the star graph

Re:Cursor Introduces Composer 2.5 on Tuesday May 19, 2026 @04:56AM (#48190928)
Seems like a promising and useful model but its probably scary how much customer data they fed into it to reach this performance