Your project is listed on Spark — claim your listing

Claiming Your Project's Listing on Spark

If your open-source project is listed on Spark (a catalog of AI tools), you might want to claim its listing. Claiming provides benefits like a "Maintainer Verified" badge, editing capabilities for the listing's details, download analytics, and the option to add a "Listed on Spark" badge to your project's README.

The Problem: Unclaimed Project Listings

Spark automatically lists projects based on certain criteria. However, these initial listings are unverified and may contain inaccuracies or incomplete information. As the project maintainer, you're in the best position to ensure the listing is accurate and representative of your project.

Root Cause: Automated Listing

Spark's automated listing process aims to surface valuable AI-related projects quickly. This automation means that projects are listed without prior consent or involvement from the maintainers. While this helps increase visibility, it necessitates a mechanism for maintainers to take ownership and control of their project's presentation on the platform.

Solution: Claiming Your Listing

The process to claim your project's listing on Spark is straightforward:

1. Navigate to the claim URL specific to your project. This URL is typically provided in the notification you receive from Spark. In the case of the teamretro-mcp-server project, the URL is: https://spark.entire.vc/claim/vb-teamretro
2. Sign in with your GitHub account.
3. Verify that your GitHub account has push access to the repository. This confirms that you are a maintainer of the project.
4. Once verified, the listing will be claimed under your account.

Benefits of Claiming

• "Maintainer Verified" Badge: This badge adds credibility to your project's listing.
• Editing Capabilities: You can edit the title, description, and tags to ensure they accurately reflect your project's purpose and functionality.
• Download Analytics: Access data on how many times your project has been downloaded or accessed through Spark.
• "Listed on Spark" Badge: Add a badge to your README to promote your project's presence on Spark. Here's an example of Markdown code you could use:

  [![Listed on Spark](https://img.shields.io/badge/Listed%20on-Spark-brightgreen)](https://spark.entire.vc/assets/vb-teamretro)

  This will display a badge linking to your project's Spark page.

Practical Tips and Considerations

• Keep Your Listing Up-to-Date: Regularly review and update your project's listing on Spark to reflect any changes in functionality, features, or documentation.
• Engage with the Spark Community: If Spark provides a forum or discussion area, engage with users who are interested in your project.
• Monitor Analytics: Pay attention to the download analytics to understand how users are discovering and using your project. This can inform your development and marketing efforts.
• Consider a README Badge: Adding a "Listed on Spark" badge to your README increases visibility and encourages more users to explore your project.

By claiming and maintaining your project's listing on Spark, you can enhance its visibility, credibility, and engagement with the broader AI community.