Integrate quine-bot in Slack
with Axolo

Quine-bot is a GitHub application that helps open source project maintainers prioritize pull requests from existing contributors and new aspiring contributors. The service automatically comments on a new pull request in a repository with information about the author's background and experience. This information includes whether the author has contributed to the repository before, how many successful pull requests they have made to other repositories, and whether their pull requests are usually merged or closed.

By providing this information, quine-bot helps maintainers allocate their attention efficiently and make the most out of their time. They can quickly understand the open source experience of the contributors who submit pull requests and prioritize those who have a successful track record. Additionally, the service helps identify new aspiring contributors who may need extra guidance and support.

Overall, quine-bot is a valuable tool for open source project maintainers who want to make the most out of their limited time and resources. By understanding their contributor audience, they can ensure that their projects continue to grow and thrive.

- Automatically comment on new PRs in your repo
- Provides information about the background and experience of the author behind the pull request
- Helps answer key background questions about the author
- Indicates if the author has contributed to your repo before or if this is their first contribution
- Shows how many successful PRs the author has made previously to other repos
- Indicates if the author's PRs usually get merged, closed, or still open
- Provides information about the languages the author usually contributes in
- Helps allocate attention efficiently and make the most out of your time by understanding your contributor audience.

The pricing for Quine-bot's PR bot is free, with a cost of $0.

Integrating quine-bot in Slack with Axolo is beneficial because it helps prioritize pull requests from existing contributors, understand the open source experience of contributors, and allocate attention efficiently to make the most out of time.