Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR adds a google analytics token to the docs.
My long-term idea here is to build some kind of mechanism through which we can discover how the library is used, what features (and backends) are in demand, what is missing, and what needs to be improved. Issues and bug reports are nice, but they tend to only flag the cases where something breaks. So to get a better understanding of the situation, I'd like to know what parts of the docs people actually look at.