Amor

Amor is a cutting-edge talent sourcing platform tailored specifically for engineering managers, recruiters, and sourcers who seek to streamline their hiring processes. By leveraging GitHub's vast data ecosystem, Amor enables users to discover the top 1% of engineers based on their actual coding activity, project contributions, and geographic location. In an era where the demand for tech talent far exceeds supply, Amor simplifies sourcing high-quality engineering candidates with precision. Users can pose specific queries, such as identifying active front-end engineers involved in Next.js, Astro, Remix, or React repositories who reside in NYC. With access to over 8 million developer profiles, 66 million repositories, and an astonishing 145 billion stars, Amor transforms the candidate search experience, saving users countless hours previously spent on manual searches and custom scripts. This GitHub-first approach uncovers hidden talent, allowing users to engage with exceptional engineers who may not be actively networking but consistently contribute to impactful projects.

Source Top GitHub Engineers

Amor tracks over 8 million developer profiles, 66 million repositories, and an impressive 145 billion stars, empowering users to find highly skilled engineers faster than ever. This extensive database enables targeted searches for candidates who meet specific technical criteria.

Advanced Filtering Capabilities

With advanced filtering options, Amor allows recruiters to refine their searches based on contribution frequency, programming languages, and more. This feature saves time and ensures users can quickly locate qualified candidates that fit their specific needs.

Smart Location Data

Navigating GitHub profiles can be challenging due to noisy location data. Amor cleans up this information, facilitating searches by city, region, and country, ensuring users can find local talent easily and efficiently.

Easy-to-Skim Profiles

Amor provides automatic summaries of developer interests, skills, and activity, allowing recruiters to assess candidates quickly. This feature minimizes the time spent on individual profiles, enabling faster decision-making.

Accelerate Hiring for Startups

Startups can leverage Amor to quickly identify and hire exceptional engineering talent, reducing the time-to-hire significantly. This is crucial for fast-paced environments where every moment counts.

Enhance Recruiting Agency Efficiency

Recruiting agencies can use Amor to gain access to exclusive candidate pools, including developers not found on LinkedIn. This advantage allows agencies to place top engineering talent ahead of competitors.

Support Engineering Managers in Team Building

Engineering managers can utilize Amor to find engineers who not only possess the required technical skills but also fit the team culture. This ensures a harmonious work environment and maximizes productivity.

Collaborate Effectively with Recruitment Teams

Amor facilitates collaboration within hiring teams by allowing members to share candidate insights and build lists together. This collective effort leads to better hiring decisions and faster placements.

How does Amor identify top engineers?

Amor analyzes GitHub commit activity, project contributions, and other relevant metrics to pinpoint the top 1% of engineers, ensuring users find the best talent available.

Can I filter candidates based on specific programming languages?

Yes, Amor offers advanced filtering capabilities that allow users to search for candidates based on their contributions to specific programming languages, helping to match technical requirements.

How does Amor clean location data for GitHub profiles?

Amor employs algorithms to filter and standardize location data from GitHub profiles, allowing users to search for candidates by accurate geographic information, improving the quality of search results.

Is there a limit to the number of profiles I can view?

Amor provides a robust platform that enables users to view and analyze numerous profiles. However, specific limits may vary depending on the chosen subscription plan.