Amor

Amor is an innovative platform designed to transform the hiring landscape for engineering managers, recruiters, and talent sourcers by enabling them to discover exceptional engineering talent sourced directly from GitHub. This groundbreaking tool employs advanced filtering capabilities, allowing users to identify the top 1% of engineers based on various metrics, including commit activity, project contributions, and precise location data. Amor streamlines the hiring process by eliminating tedious manual searches and complex scripts. It saves users countless hours by providing access to high-quality developer profiles that often remain hidden on traditional platforms like LinkedIn. With insightful analytics into coding habits, contribution patterns, and technical interests, Amor empowers teams to make swift and informed hiring decisions. Whether you are scouting for front-end engineers skilled in frameworks such as Next.js or React, or evaluating the coding practices of potential candidates, Amor is your go-to solution for sourcing top-tier talent effectively and efficiently.

Advanced Filtering

Amor's advanced filtering capabilities are designed to save users significant time during the candidate search process. By enabling filters based on contribution frequency, programming languages, and more, recruiters can quickly identify qualified candidates without the hassle of manual screening.

Contribution Patterns

With a focus on understanding engineers' coding habits, Amor analyzes contribution frequency, consistency, and even weekend activity. This feature helps employers gauge if a candidate's work ethic aligns with their team's needs, speeding up the decision-making process.

Smart Location Data

Navigating the noisy location data often found on GitHub profiles can be challenging. Amor cleans and refines this data, allowing users to search for candidates by specific city, region, or country, ensuring recruiters find the right talent in the most relevant locations.

Easy to Skim Profiles

Amor offers automatically generated summaries of developer interests, skills, and activity levels. This feature allows recruiters to quickly skim through profiles, significantly reducing the time spent evaluating each candidate and facilitating faster hiring decisions.

In-House Recruiters

In-house recruiters can leverage Amor to efficiently scale their engineering hiring processes. The platform provides insights into candidates' technical skills and cultural fit, thus reducing time-to-hire without sacrificing quality.

Recruiting Agencies

For recruiting agencies, Amor offers a competitive edge by accessing candidate profiles that are often overlooked by LinkedIn-centric competitors. This enables agencies to place top engineering talent faster, enhancing their service offerings.

Engineering Managers

Engineering managers can utilize Amor to hire engineers who are not only technically proficient but also a good cultural fit for their teams. The platform's detailed insights help managers raise the bar in their hiring processes.

Collaboration for Teams

Amor is built for teams that need to move quickly. Recruiters can create and share candidate lists, add comments directly on profiles, and collaborate seamlessly to make hiring decisions that reduce the time-to-hire significantly.

How does Amor source top engineers from GitHub?

Amor tracks over 8 million developer profiles and 66 million repositories, analyzing commit activity and contributions to identify the top 1% of engineers available for hire.

What kind of filtering options does Amor provide?

Users can filter candidates based on various criteria, including contribution frequency, programming languages, locations, and more, making it easier to find qualified candidates quickly.

Can I collaborate with my team using Amor?

Yes, Amor is designed for collaboration. Teams can create shared candidate lists, add notes on profiles, and streamline the decision-making process to expedite hiring.

Is there a way to export candidate information from Amor?

Absolutely! Amor allows users to export candidate lists directly into Ashby's CSV format, enriching profiles with emails and social links for easy organization and follow-up.