Amor

Amor is an innovative collaborative sourcing platform tailored for engineering teams, recruiters, and hiring managers who aim to connect with top-tier software engineers on GitHub. Unlike conventional networking platforms, Amor dives deeper by analyzing real and verifiable coding activities from millions of developer profiles and repositories. Its main value proposition is to foster synergy within hiring teams, integrating technical screening, team collaboration, and workflow into a single seamless process. This enables hiring teams to answer complex sourcing inquiries, such as locating front-end engineers in specific locations who actively contribute to noteworthy open-source projects, within seconds. By significantly reducing the time spent on manual searches and custom scripts, Amor not only empowers teams to make faster and more informed decisions but also enhances the overall hiring process through collective effort. The platform is designed to uncover hidden engineering talents often overlooked on traditional platforms like LinkedIn, enabling teams to streamline their hiring pipelines effectively.

Source Top GitHub Engineers

Amor tracks over 8 million developer profiles and 66 million repositories, allowing users to find exceptional engineers quickly. With access to a vast array of coding metrics, teams can discover candidates with proven track records in technical proficiency.

Advanced Filtering Options

Say goodbye to tedious manual screening. Amor's advanced filtering tools enable users to search by contribution frequency, programming languages, and other criteria, ensuring that only the most qualified candidates are found instantly.

Contribution Patterns Analysis

The platform provides insights into engineers' coding frequency, consistency, and weekend activity. This helps hiring teams assess whether a candidate’s work ethic aligns with their team dynamics and project needs.

Easy Collaboration Tools

Amor is built for team-oriented hiring processes. Features like candidate lists, profile comments, and easy sharing capabilities empower teams to collaborate effectively, ensuring that every member can contribute to making informed hiring decisions.

Streamlining the Hiring Process

Engineering managers can leverage Amor to speed up the hiring pipeline. By integrating technical insights and cultural fit indicators into their search, teams can hire the right engineers faster than ever before.

Finding Hidden Talent

Recruiters can use Amor to source exceptional engineers who may not have a strong presence on LinkedIn but are highly active on GitHub. This allows them to tap into untapped talent pools and discover candidates who are genuinely passionate about coding.

Collaborative Candidate Evaluation

Amor facilitates teamwork among hiring managers and recruiters. By creating and sharing candidate lists, team members can collaborate on evaluations, insights, and decisions, leading to a more thorough hiring process.

Attracting Diverse Engineering Talent

With its smart location data and the ability to source candidates from underrepresented communities, Amor helps organizations build more diverse engineering teams, enriching the company culture and broadening perspectives.

How does Amor find engineers?

Amor utilizes data from GitHub to analyze developer activity, including contributions and repository interactions. This data-driven approach allows teams to identify top engineers based on real coding performance rather than networking connections.

Can I collaborate with my team on Amor?

Yes, Amor is designed for collaboration. Teams can share insights, create candidate lists, and add comments on profiles, making the hiring process more inclusive and efficient.

What types of engineers can I find using Amor?

Amor allows you to search for a wide range of engineers, including front-end, back-end, and full-stack developers. The platform’s filtering options enable you to narrow down your search based on specific skills and activity levels.

Is there support for exporting candidate data?

Absolutely! Amor has a feature that allows you to export candidate lists directly to Ashby in a CSV format. This process includes auto-enriched profiles, making it easy to manage your candidate tracking effectively.