Amor

About Amor

Amor is an innovative tool designed to streamline the process of sourcing top engineering talent from GitHub. By leveraging advanced filtering options, Amor allows recruiters, engineering managers, and sourcers to identify the top 1% of engineers based on their commit activity, project contributions, and geographical locations. This platform is invaluable for those looking to fill roles with highly skilled front-end engineers proficient in frameworks such as Next.js, Astro, Remix, and React. With access to over 8 million developer profiles and 145 billion stars on GitHub, Amor simplifies the search for candidates who may not be visible on traditional platforms like LinkedIn. By eliminating the need for custom scripts and extensive manual searches, Amor saves users hours of time while ensuring they find the best fit for their teams.

Features of Amor

Advanced Filtering

Amor offers powerful filtering capabilities that allow users to narrow their search based on contribution frequency, programming languages, and other criteria. This feature saves valuable time by quickly identifying qualified candidates who meet specific requirements.

Smart Location Data

Many GitHub profiles contain noisy and inaccurate location data. Amor cleans up this information, enabling users to search for engineers by city, region, or country. This ensures that hiring managers can find local talent or target specific geographic areas efficiently.

Contribution Patterns

With Amor's contribution patterns analysis, users can evaluate coding frequency and consistency, including weekend activity. This insight helps recruiters determine if a candidate's work ethic aligns with the needs of their team, facilitating better hiring decisions.

Easy Profile Summaries

Amor automatically generates summaries of developer interests, skills, and activity. This feature allows users to quickly skim profiles and gather essential insights, reducing the time spent evaluating each candidate.

Use Cases of Amor

Identifying Top Talent

Recruiters can utilize Amor to discover exceptional engineers who consistently contribute to open-source projects on GitHub. By filtering for specific technologies and commitment levels, users can identify candidates who are not actively networking but excel in coding.

Collaborating with Teams

Engineering teams can share candidate lists and insights within Amor, fostering collaboration and streamlining the hiring process. By building lists of high-quality candidates together, teams can make faster and more informed placement decisions.

Sourcing Diverse Candidates

Amor allows users to tap into underrepresented communities by providing access to a wider pool of talent. This feature is crucial for companies looking to enhance diversity within their engineering teams while finding highly skilled candidates.

Accelerating Candidate Placement

By leveraging Amor's features, recruiting agencies can place top engineering talent more efficiently than their competitors. Access to GitHub-first candidates enables agencies to find senior engineers who may be overlooked on traditional platforms.

Frequently Asked Questions

How does Amor find top engineers on GitHub?

Amor tracks over 8 million developer profiles and 66 million repositories on GitHub. By analyzing commit activity and project contributions, the platform identifies the top 1% of engineers tailored to specific hiring needs.

Can I collaborate with my team using Amor?

Yes, Amor is designed for team collaboration. Users can create candidate lists, add comments on profiles, and share insights with team members, making it easier to make informed hiring decisions together.

What makes Amor different from LinkedIn?

Amor focuses specifically on GitHub activity, providing access to engineers who are actively coding rather than networking. This GitHub-first approach helps users discover high-quality talent that may not be present on LinkedIn.

Is there a trial available for Amor?

Yes, Amor offers a free tier that allows users to explore the platform with limited search results. This enables potential users to try the service before committing to a paid plan.