Amor

Amor is the transformative platform designed to revolutionize the way organizations discover and hire elite engineering talent. It transcends the traditional, often noisy, network-driven environment of platforms like LinkedIn, honing in on the true essence of a developer's capabilities: their actual code. By leveraging a vast, real-time dataset of GitHub activity, Amor empowers recruiters, sourcers, and engineering managers to accurately identify the top 1% of engineers through concrete metrics such as commit frequency, project contributions, and unique coding patterns. Imagine effortlessly responding to intricate sourcing queries like, "Find me senior front-end engineers in Berlin who actively contribute to open-source React projects and demonstrate consistent coding habits." Amor facilitates this in mere seconds, liberating you from the tedious hours of writing custom scripts or manually filtering through profiles. It is tailored for those who understand that actions outweigh curated resumes, offering direct access to passionate, high-caliber builders who often remain hidden from conventional recruiting tools. With Amor, you not only discover candidates but unlock a concealed talent pool, accelerating your hiring pipeline with unparalleled confidence and precision.

Source Top GitHub Engineers

Amor tracks over 8 million developer profiles and 66 million repositories, enabling you to find the best engineers based on their actual coding activity and contributions. This vast database ensures you have access to the most proficient talent available.

Contribution Patterns

Analyze a developer's coding habits, including their frequency of contributions and weekend activity. This feature helps you gauge whether they possess the work ethic and consistency necessary to thrive in your team environment.

Advanced Filtering

Save significant time during the candidate screening process with advanced filtering options. You can filter by programming languages, contribution frequency, and more, allowing you to find qualified candidates quickly and efficiently.

Candidate Lists and Collaboration Tools

Easily create and share candidate lists with your team to streamline the hiring process. Add comments and insights directly on engineer profiles to enhance collaboration and ensure everyone is aligned on potential hires.

Enhance Your Hiring Pipeline

Recruiters can use Amor to dramatically improve their hiring pipelines by quickly identifying high-quality developers who may not be visible on traditional platforms, ensuring a quicker time-to-hire.

Targeted Searches for Specific Skills

Engineering managers can leverage Amor to conduct targeted searches for specific skills and locations, such as finding senior engineers in Berlin with expertise in React. This precision leads to better hiring outcomes.

Collaborate Efficiently with Teams

Hiring teams can utilize Amor's collaborative features to share insights and comments on potential candidates. This team-oriented approach reduces time spent on decision-making and enhances overall productivity.

Access Untapped Talent Pools

Recruiting agencies can tap into underrepresented communities of engineers who focus on building rather than networking. Amor's unique GitHub-first approach uncovers talent that competitors may overlook, giving agencies a significant advantage.

How does Amor identify top engineers?

Amor uses a sophisticated algorithm to analyze GitHub activity, including commit frequency, project contributions, and coding patterns, allowing you to identify top engineers based on tangible metrics.

Can I filter candidates based on location?

Yes, Amor provides smart location data that cleans up noisy GitHub profile locations, enabling you to search for candidates by city, region, or country effectively.

Is it easy to collaborate with my hiring team using Amor?

Absolutely! Amor includes features for creating candidate lists, adding comments directly on profiles, and sharing insights with your team to enhance collaboration and decision-making.

How does the export feature work with Ashby?

You can export your candidate lists directly to Ashby's CSV format, which automatically enriches profiles with emails, LinkedIn URLs, and smart tags, simplifying the organization of your candidate data.