We are thrilled to release the first edition of our company's changelog, marking an exciting new chapter in our journey. We strive for transparency and constant improvement, and this changelog will serve as a comprehensive record of all the noteworthy updates, enhancements, and fixes that we are constantly shipping. With these releases, we aim to foster a tighter collaboration with all our amazing users, ensuring you are up to date on the progress we make and exciting features we introduce. So without further ado, let's dive into the new stuff!

Added support for mentioning users, goals, and commits in goal comments and descriptions — type @ to mention another user in your workspace, or # to mention a goal or commit

Added the ability to upload “shell” models (just the predictions on a dataset) without the model binary (required for explainability, robustness, and text classification fairness goals)

Added ROC AUC to available project metrics

Added an overview page to browse and navigate to projects

Added an in-app onboarding flow to help new users get setup with their workspace

Added announcement bars for onboarding and workspace plan information

Integrated with Stripe for billing management

Added marketing email notification settings

Optimized network requests to dramatically improve page time-to-load and runtime performance

Improved the experience scrolling through dataset rows, especially for very large datasets

Added more suggested subpopulations for performance goal creation

Added more warning and error messages to forms

Added loading indicators when submitting comments in goals

Improved the color range for heatmap tiles and tokens in the performance goal creation page

Updated wording of various labels throughout the app for clarity

Allowed specifying a role when inviting users to workspaces

Updated the design of the password reset and confirmation pages

Updated the design of the in-app onboarding modal

Sorted confusion matrix labels and predictions dropdown items alphabetically and enabled searching them

Added the ability to expand and collapse the confusion matrix

Adding filters with multiple tokens when creating performance goals for text classification projects would sometimes fail to show insights

Adding filters when creating performance goals in any project would sometimes fail to show insights

Notifications mentioning users that were deleted from a workspace would show a malformed label rather than their name or username

Email was sometimes empty in the page notifying users an email was sent to confirm their account after signup

Explainability graph cells would sometimes overflow or become misaligned

Users were sometimes unexpectedly logged out

Feature drift insights were broken for tabular datasets containing completely empty features

Feature profile insights would fail to compute when encountering 

Token cloud insights would fail to compute when encountering 

Commits in the history view would sometimes have overflowing content

Replaying onboarding successively would start the flow at the last step

Switching between projects and workspaces would sometimes fail to redirect properly

Confusion matrix UI would break when missing column values

Sorting the confusion matrix by subpopulation values wouldn’t apply

Goals would show as loading infinitely when missing results for the current commit

Improved the loading states for goal diagnosis modals

Performing what-if on rows with null columns would break the table UI

Uploading new commits that do not contain features used previously in the project as a subpopulation filter would cause unexpected behavior

Fixed various UI bugs affecting graphs throughout the app