Tutorial

[Hk669]

👋 Welcome to the Open-Source-Recommender!

Welcome to the ultimate tool for discovering the best open-source projects tailored just for you! This tutorial will help you make the most out of our Open-Source-Recommender.

🚀 Getting Started

1. Quick Recommendations

If you’re eager to see what’s available right now, simply click the Get Recommendations button. This will fetch a list of projects based solely on the most popular GitHub repositories, ensuring you get a broad view of the top options out there.

2. Personalize Your Experience

For a more refined and personalized set of recommendations, you can tailor your search based on preferred languages and topics. Here’s how:

• Preferred Languages:

  • Want recommendations that favor certain programming languages? Just enter the names of the languages you’re interested in. For instance, you can type Python or JavaScript and hit enter to add them to your list.

• Relevant Topics:

  • To further refine your recommendations, you can add specific topics related to your interests. For example, if you’re into artificial intelligence, you might add topics like ai or agentic-ai.

3. How to Add Languages and Topics

• Languages: Type the name of the language and press enter to add it to your list. This helps us understand which languages you prefer for the recommendations.
• Topics: Similarly, type your topics of interest (e.g., machine learning, web development) and press enter to include them. This will help filter the recommendations based on your interests.

🌟 Explore Your Recommendations

Once you’ve set your preferences, your personalized recommendations will be displayed. Whether you’re looking for cutting-edge AI projects or innovative web development tools, our recommender will find the best open-source projects for you.

🏆 Ready to Discover?

Head over to gitmatch.in to get started with your personalized recommendations and explore the best open-source projects that match your interests.

Enjoy discovering new projects and happy coding!

[Hk669]

i do burn a lot of oai credits and mainly my AWS credits :)