This week, we've focused on improving what already exists, rather than adding new features. We've shipped a ton of bug fixes and performance improvements.
If you've got questions, comments, or any feedback, email us at contact@briefer.cloud.
Here are a few small improvements we've done to the editor, and to the overall performance of Briefer.
We noticed that performance degraded as documents got larger. We've made a few changes to the way we handle large documents.
First, we've eliminated lots of unnecessary re-renders for graphs and tables. This should make the editor feel snappier, especially for large documents.
Some users dealing with millions of rows of data were experiencing performance issues.
To fix that, we now run all the queries in your own compute instance and stream the results back to the editor. This change means that we can now support much larger datasets without performance issues. It also means that the users who pay for larger compute will experience more benefits from it.
Besides the performance improvements we shipped a few minor UI updates. Besides all the small UI tweaks we've done, here are a few highlights:
We've added support for in
and not-in
filters in visualization blocks. This is useful when you want to filter by multiple values at once.
You can now create queries more easily when using visualizations. Just click on the "New query" option the dropdown, or in the tooltip that appears when you create an empty visualization.
You can also create new queries or tabs by using the +
button in the top right corner of the block.
You can now delete tabs or entire blocks by clicking on the drag-handle and selecting the desired delete option.
Previously, when allowing anyone from @yourdomain.com
to access Briefer, new users were added as editors by default. We've changed this so that new users are added as viewers by default. This is to prevent new users from accidentally making changes to the workspace.
Bug fixes are the biggest part of this release. We've fixed a ton of bugs, but here are a few highlights:
[Object object]
dataframes. We've not only fixed this bug, but we also improved the LLM's context.