Amor

Amor is an innovative recruitment tool tailored for engineering managers, recruiters, and sourcers who aim to identify the top 1% of engineers on GitHub. This powerful platform streamlines the recruiting process by utilizing advanced filtering options, allowing users to efficiently search for candidates based on various criteria, including commit activity, location, and project contributions. With access to a vast database of over 8 million developer profiles and 66 million repositories, Amor eliminates the need for tedious manual searches or custom scripts. This not only saves time but also enhances the quality of hiring decisions. Trusted by leading startups, Amor helps teams discover hidden talent, making informed hiring choices that reduce time-to-hire without sacrificing quality. By focusing on engineering talent that does not rely solely on platforms like LinkedIn, Amor positions organizations to secure the best candidates swiftly and effectively.

Advanced Filtering

Amor's advanced filtering capabilities allow recruiters to narrow down candidates based on specific criteria such as contribution frequency, programming languages, and location. This feature saves hours of manual screening, enabling users to find qualified candidates instantly.

Contribution Patterns

This feature helps users analyze coding frequency, consistency, and even weekend activity of candidates. By evaluating these patterns, recruiters can assess whether an engineer aligns well with their team’s dynamics and expectations.

Smart Location Data

Amor cleans up noisy location data from GitHub profiles, allowing users to search candidates by city, region, or country. This precision ensures that teams can find local talent or source candidates from desired geographic areas effectively.

Easy to Skim Profiles

Amor provides automatic summaries of developer interests, skills, and activity, making it easier for recruiters to evaluate profiles quickly. This streamlined view reduces the time spent on each profile while maintaining a comprehensive understanding of each candidate.

In-House Recruiters

For in-house recruiters, Amor accelerates the hiring process by providing insights into candidates' technical skills and work ethic. This helps teams scale their hiring efforts without compromising on the quality of candidates.

Recruiting Agencies

Recruiting agencies can leverage Amor to place top engineering talent faster than their competitors. By accessing candidates who may not be on LinkedIn, agencies can fill positions more effectively and efficiently.

Engineering Managers

Engineering managers can use Amor to identify engineers who fit their team culture and possess the necessary technical expertise. This feature empowers managers to elevate their hiring standards and find the best talent swiftly.

Collaborative Hiring Teams

Amor fosters collaboration among hiring teams by allowing them to create and share candidate lists. This shared insight streamlines decision-making and enhances the overall hiring process, enabling teams to place engineers faster.

What types of engineers can I find using Amor?

Amor specializes in sourcing high-quality engineers from GitHub, focusing primarily on those who demonstrate consistent coding activity and have made significant project contributions.

How does Amor clean up location data?

Amor processes GitHub profiles to eliminate inaccuracies in location data, enabling users to search for candidates based on precise geographical criteria such as city, region, or country.

Can I collaborate with my team using Amor?

Yes, Amor is designed for team collaboration. Users can create shared candidate lists, add comments on profiles, and streamline communication to enhance the hiring process.

How does the export feature to Ashby work?

Amor allows users to export candidate lists directly to Ashby in an easy-to-use CSV format. The exported profiles are auto-enriched with emails, LinkedIn URLs, and smart tags for better organization and visibility.