We've resolved the issue. A breaking change in one of the models caused all clients to refresh the local database which overloaded our main database. We're taking steps to prevent this from happening in the future.

We implemented a fix and we're currently monitoring the result. Thanks so much for your patience while we worked on this.

We are continuing to investigate and will update as soon as we have further news to share. Thanks for your patience while we work on this.

We are investigating further reports of slow performance with Linear. We'll update shortly with further news.

Issues with slowness in the app and API should now be resolved. Apologies for any disruption caused.

One of our servers was slow in processing requests, so some users saw intermittent performance problems. We restarted our servers which fixed the problems.

We'll investigate why this happened and what we can do to prevent these problems in the future.

We just resolved the issue!

We’ve resolved the issue. We’re still investigating the root cause, but it seems related to a bad code deploy. If continue to see issues, please reach out.

Everything is running smoothly again.

We implemented a fix and currently monitoring the result. We expect everything to return to normal now, but some users might see lingering slowness.

We just resolved the issue so you should be able to load Linear without any problems now. Thanks for your patience while we worked on this.

We have implemented a fix and most users should now be able to load Linear without any problems. We are currently monitoring the results and will update once fully resolved.

The issue should be resolved after a revert of a problematic change. We recommend force quitting and restarting your browser completely if you still see issues loading.

All systems are operational again. We deployed a change that caused all clients to try to synchronize at the same time, leading to increased load on our servers and database.

The issue has been resolved. We deployed a change that caused all clients to try to synchronize at the same time, leading to increased load on our servers and database.