Skip to content

Add testimonials from delighted users #17

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
tjkuson merged 1 commit into from
Dec 25, 2024
Merged

Add testimonials from delighted users #17

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 9 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,15 @@
Allocate speaker and adjudicator points quickly and thoroughly using a binary
search.

## Testimonials

> Your binary search tool for speaks is great – only problem is that I now give
> much lower speaks than other judges

> I have the feeling your speaker scale anonymizer is having the opposite of its
> intended effect on edinburgh<br>
> A speech I think was probably an 81 on vibes got an 87

## Features

- Latest scales from the Panama WUDC 2025 debate and judging manual
Expand Down
Loading