Amor

Amor is a groundbreaking platform that revolutionizes the way companies source and identify top engineering talent from GitHub. By harnessing sophisticated filtering options, Amor enables users to discover the top 1% of engineers based on critical metrics such as commit activity, project contributions, and refined location data. This innovative tool is specifically crafted for engineering managers, recruiters, and sourcers who are eager to uncover high-quality candidates often overlooked by conventional job platforms. With the ability to filter candidates by specific frameworks such as Next.js, Astro, Remix, or React, Amor simplifies the hiring process significantly. It saves users countless hours that would otherwise be spent writing complex scripts or searching LinkedIn for hidden data in commit histories. Whether you need a front-end engineer in New York City or anywhere else globally, Amor makes it seamless to find the ideal match for your team's specific needs, allowing you to focus on building a high-performing engineering team.

Advanced Filtering

Amor's advanced filtering options allow you to narrow down your search based on various criteria, including contribution frequency and programming languages. This feature saves you valuable time by enabling instant access to qualified candidates without the tedious manual screening process.

Smart Location Data

GitHub profiles often contain noisy location information, but Amor cleans this data to help you search effectively by city, region, and country. This ensures that you're targeting the right candidates in the locations that matter most to your hiring efforts.

Contribution Patterns

With Amor, you can analyze coding frequency, consistency, and even weekend activity of potential hires. This insight helps you determine if candidates possess the work ethic and dedication that align with your team's needs, ensuring a better cultural fit.

Easy to Skim Profiles

Amor provides automatic summaries of developer interests, skills, and activity, allowing you to quickly assess profiles without getting bogged down in details. This feature enhances your efficiency by enabling faster evaluations of candidate suitability.

In-House Recruiters

In-house recruiters can leverage Amor to scale their engineering hiring processes effectively. The platform provides insights into candidates' technical abilities and work ethics, helping recruiters reduce time-to-hire without compromising on quality.

Recruiting Agencies

Recruiting agencies can gain a competitive edge by placing top engineering talent faster than their competitors. Amor allows agencies to access exclusive candidate pools that LinkedIn-only recruiters might overlook, making it easier to secure high-quality placements.

Engineering Managers

Engineering managers can utilize Amor to hire engineers who will thrive within their teams. The platform offers quick insights into candidates' technical interests and work ethic, empowering managers to make informed hiring decisions that elevate team performance.

Collaboration within Teams

Amor facilitates collaboration among team members by allowing them to create and share candidate lists. This feature streamlines the hiring process, ensuring that all team members are aligned and can contribute to faster placement decisions.

How does Amor source candidates from GitHub?

Amor tracks over 8 million developer profiles and 66 million repositories, analyzing commit activity and contributions to identify the top engineering talent.

Can I filter candidates based on specific programming frameworks?

Yes, Amor allows you to filter candidates by specific frameworks like Next.js, Astro, Remix, or React, making it easier to find engineers with the skills you need.

Is there a way to collaborate with my team on candidate selection?

Absolutely! Amor enables you to create candidate lists, add comments, and share profiles directly with your team, facilitating better hiring decisions.

How do I export candidate lists to Ashby?

With Amor, you can export your candidate lists to Ashby in a compatible CSV format. The export process enriches profiles with emails from GitHub commits, LinkedIn URLs, and smart tags for efficient organization.