Amor

Amor is a revolutionary recruitment platform specifically crafted to enhance the hiring journey for engineering teams through the intelligent utilization of data from GitHub. By tapping into a rich repository of over 8 million developer profiles and 66 million repositories, Amor empowers engineering managers, recruiters, and sourcers to discover the top 1% of engineers based on their commit activity, contributions to projects, and geographical locations. This sophisticated tool is designed to filter through a diverse talent pool, identifying candidates who not only possess exceptional technical skills but also exhibit a track record of consistent coding practices. By moving beyond conventional platforms like LinkedIn, Amor uncovers hidden gems within the developer community, allowing hiring teams to efficiently identify and engage high-quality talent. With advanced filtering capabilities and automatic profile enrichment, Amor dramatically reduces the time spent on manual searches and custom scripting, making it an invaluable asset for organizations striving to build extraordinary engineering teams.

Advanced Filtering

Amor offers an advanced filtering system that saves hours of manual screening, allowing users to filter candidates by contribution frequency, programming languages, and other relevant criteria. This ensures that only the most qualified candidates are identified swiftly.

Contribution Patterns

Users can analyze detailed coding patterns, including frequency, consistency, and weekend activity. This information helps recruiters assess whether candidates are a good fit for specific team dynamics, enhancing the quality of hires.

Smart Location Data

With GitHub profiles often containing inaccurate location information, Amor refines this data to provide precise search capabilities by city, region, and country. This feature enables recruiters to find local talent more effectively.

Easy to Skim Profiles

Amor presents a streamlined summary of developer interests, skills, and activities, allowing recruiters to quickly assess potential candidates without the need for extensive profile reviews. This ensures that hiring teams can focus on the most promising prospects.

In-House Recruiters

In-house recruiters can leverage Amor to scale their engineering hiring processes efficiently. By utilizing insights on candidates' technical expertise and work ethic, they can significantly reduce time-to-hire without compromising on quality.

Recruiting Agencies

Recruiting agencies can utilize Amor to place top engineering talent faster than their competitors. The platform provides access to exclusive candidates who may not be visible on traditional platforms, giving agencies a competitive edge.

Engineering Managers

Engineering managers can use Amor to find engineers who fit well within their team's culture and technical requirements. With instant access to technical interest summaries and work ethic indicators, they can raise the bar for their hiring standards.

Collaborative Hiring Teams

Amor facilitates collaboration among hiring teams, allowing members to create and share candidate lists, add comments on profiles, and streamline the decision-making process. This collective approach helps reduce the time-to-hire significantly.

How does Amor source candidates?

Amor sources candidates by leveraging a vast database of GitHub profiles and repository contributions, filtering through millions of data points to identify top talent based on coding activity and project involvement.

What makes Amor different from traditional recruiting tools?

Unlike traditional recruiting tools that rely heavily on social networks like LinkedIn, Amor focuses on GitHub data, enabling users to discover highly technical engineers who are actively contributing to projects and coding.

Can I export candidate profiles to my ATS?

Yes, Amor allows users to export candidate lists directly to Ashby's CSV import format, automatically enriching profiles with relevant information such as emails from GitHub commits and LinkedIn URLs.

Is there a free trial available?

Amor offers a limited search result feature that allows users to try the platform without any commitment, enabling them to explore its capabilities before deciding on a subscription.