What To Build - AI-powered project ideas and visual planning

What to Build is a platform designed to help users discover and analyze relevant open-source projects. It transforms creative ideas into structured GitHub repositories using AI-powered project scaffolding. The platform offers powerful tools to enhance GitHub workflows and unlock development potential, making it easier for developers to create, analyze, and contribute to open-source projects.

1. AI-Powered Project Scaffolding

   Transform your creative ideas into structured GitHub repositories effortlessly. The AI assists in organizing project components and setting up the initial structure.

2. Analyze GitHub Repositories

   Gain insights into existing repositories by analyzing their structure, contributions, and overall activity. This feature helps users understand project dynamics and potential areas for contribution.

3. Generate a Great README

   Automatically create polished README files for GitHub repositories. The tool outlines sections like Features, Setup, Usage, and more, ensuring comprehensive documentation.

4. Visualize GitHub Repository

   Visual tools allow users to see the repository's structure and contributions, making it easier to navigate and understand complex projects.

5. Compare GitHub Developers

   Analyze contribution patterns and visualize statistics to compare developers. This feature highlights strengths and weaknesses, fostering a competitive spirit among developers.

6. Discover Best Open Source Repos

   Find top open-source repositories to contribute to based on various metrics, helping users engage with projects that align with their skills and interests.

1. Start by entering a concept or idea into the search bar to discover relevant open-source projects.
2. Use the AI-powered project scaffolding feature to structure your GitHub repository efficiently.
3. When generating a README, paste the repository URL or owner/repo to auto-outline sections.
4. Leverage the visualization tools to understand repository dynamics and contribution patterns.
5. Compare developers to identify potential collaborators or learn from their coding practices.

What is What to Build?

What to Build is a platform that helps users discover, analyze, and build open-source projects by providing tools for project scaffolding, README generation, and developer comparison.

How does What to Build work?

Users can enter project ideas, analyze existing repositories, and utilize AI tools to create structured GitHub repositories and documentation. The platform also offers visualization and comparison features for developers.

Can I use the generated README for my projects?

Yes, the README generated by What to Build is designed to be polished and professional, making it suitable for immediate use in your GitHub repositories.

How is What to Build different from other project management tools?

What to Build focuses specifically on open-source projects and integrates AI to streamline the process of project creation, analysis, and documentation, setting it apart from traditional project management tools.

How do I get started with What to Build?

Visit the What to Build website, enter your project concept, and explore the features available to start building and analyzing open-source projects.

Price data is not available yet, please go to the official website to check.

1. What to Build effectively simplifies the process of creating and managing GitHub repositories, making it accessible for developers of all skill levels.
2. The AI-powered features enhance productivity by automating repetitive tasks, such as README generation and project structuring.
3. However, the platform could benefit from more advanced analytics tools to provide deeper insights into repository performance and developer contributions.
4. While the current features are robust, expanding the range of supported programming languages and frameworks could attract a broader user base.
5. Overall, What to Build is a valuable tool for developers looking to streamline their open-source contributions, but continuous improvement and feature expansion will be essential for long-term success.