Amor

About Amor

Amor is an innovative platform designed to streamline the process of sourcing top engineering talent from GitHub. By leveraging advanced filtering techniques, Amor enables engineering managers, recruiters, and sourcers to efficiently identify the top 1% of engineers based on their commit activity, project contributions, and location. The tool answers critical questions such as "Which front-end engineers are actively committing to Next.js or React repositories and are based in New York City?" This targeted approach eliminates the time-consuming tasks of writing custom scripts or sifting through LinkedIn profiles, providing users with a more efficient method of candidate sourcing. With over 8 million developer profiles and 66 million repositories tracked, Amor empowers users to uncover hidden talent pools, including underrepresented communities, allowing teams to find exceptional engineers faster than their competition. The platform is particularly beneficial for those looking to hire engineers who focus on coding over networking, ensuring that recruiters have access to the most qualified candidates.

Features of Amor

Advanced Filtering

Amor's advanced filtering capabilities allow users to refine their searches by contribution frequency, programming languages, and more. This feature saves hours of manual screening by enabling users to pinpoint the most qualified candidates instantly.

Smart Location Data

Amor cleans up the often noisy location data found on GitHub profiles, allowing recruiters to search by city, region, or country. This ensures that users can easily find candidates who meet their geographical requirements.

Contribution Patterns

The platform analyzes coding frequency, consistency, and even weekend activity to help users determine whether a candidate is a good fit for their team. This insight into a developer's commitment can be crucial for making informed hiring decisions.

Easy to Skim Profiles

Amor provides automatic summaries of developer interests, skills, and activity, making it easier for users to quickly evaluate profiles. This feature reduces the time spent on each candidate, allowing teams to focus on hiring decisions.

Use Cases of Amor

In-House Recruiting

In-house recruiters can utilize Amor to scale their engineering hiring processes efficiently. By accessing insights into candidates' technical abilities and work ethic, teams can reduce their time-to-hire while maintaining high standards.

Recruiting Agencies

Recruiting agencies can leverage Amor to place top engineering talent quickly. The platform provides access to candidates that LinkedIn-only competitors may overlook, enabling agencies to stay ahead in the recruitment game.

Engineering Management

Engineering managers can use Amor to identify engineers who will thrive within their teams. With insights into technical interests and culture fit, managers can make informed decisions that elevate their team's overall performance.

Collaboration for Faster Hiring

Amor is designed for teams that need to collaborate effectively. Recruiters can share insights, create candidate lists, and add notes directly on profiles, streamlining the hiring process and reducing time-to-hire.

Frequently Asked Questions

How does Amor source engineers from GitHub?

Amor tracks over 8 million developer profiles and analyzes their coding activity on GitHub. This data allows users to identify top engineers based on their contributions and engagement in various repositories.

Can I export candidate lists to other platforms?

Yes, Amor offers a feature that allows users to export candidate lists directly to Ashby's CSV import format, enriching profiles with emails, LinkedIn URLs, and smart tags for easy organization.

Is there a free trial available for new users?

Amor offers a free plan that allows users to try the platform before committing to a paid subscription. This plan provides limited search results, allowing users to evaluate the tool's effectiveness.

What types of engineers can I find using Amor?

Amor is designed to help users find a wide range of engineers, from front-end developers active in frameworks like React and Next.js to back-end developers and specialists in various programming languages. The platform's filtering capabilities ensure that users can tailor their searches to meet specific needs.