Amor

Amor is the ultimate platform designed for data-driven technical recruiting, tailored for startups and scaling companies that want to find and hire top-tier software engineers directly from GitHub. In a hiring landscape where the best talent often avoids traditional networking platforms, Amor provides a powerful advantage. By transforming the chaotic and unstructured data of GitHub commit histories into tangible, searchable intelligence, Amor enables companies to identify and engage with the top 1% of engineers based on verifiable contributions. With access to a vast database of over 8 million developer profiles and billions of data points, Amor empowers engineering managers, in-house recruiters, and agencies to ask specific and high-value questions, such as "Which senior front-end engineers in Berlin are actively contributing to open-source React projects?" With features like advanced filtering options, smart location data, and detailed contributor patterns, Amor drastically reduces the time and effort involved in manual sourcing, ultimately accelerating the hiring pipeline. This innovative platform is perfect for those seeking to build world-class engineering teams quickly and efficiently, leveraging untapped talent pools and making informed hiring decisions that keep them ahead of the competition.

Advanced Filtering

Amor offers advanced filtering options that save recruiters hundreds of hours typically spent on manual sourcing. You can filter candidates based on contribution frequency, programming languages, project types, and more to quickly identify qualified candidates who fit your specific needs.

Smart Location Data

Navigating GitHub profiles can be challenging due to noisy location data. Amor cleans this data, allowing you to search for candidates by city, region, and country. This ensures that you can find local talent who are ready to contribute to your projects.

Contribution Patterns

With Amor, you can analyze coding frequency, consistency, and weekend activity to gauge whether a developer is a good fit for your team. This feature helps you understand not just the quantity of their contributions, but also their dedication and work ethic.

Easy to Skim Profiles

Amor provides an automatic summary of developer interests, skills, and activity, making it easy to skim through profiles quickly. This allows you to spend less time on each candidate while still being able to identify the most promising individuals.

In-House Recruiting

In-house recruiters can leverage Amor to scale their engineering hiring processes. With insights into the technical abilities and work ethic of potential candidates, they can reduce their time-to-hire without sacrificing quality.

Recruiting Agencies

Agencies can use Amor to place top engineering talent faster than their competitors. By accessing a pool of candidates who are not visible on LinkedIn, they can provide their clients with exclusive talent sourcing opportunities that enhance their recruitment services.

Engineering Managers

Engineering managers can identify engineers who will thrive within their teams more efficiently. Amor helps them understand candidates’ technical interests and cultural fit in an instant, allowing them to raise the bar for their team’s capabilities.

Collaboration Among Teams

Amor facilitates collaboration among team members to make better hiring decisions. Recruiters can share insights, create candidate lists, and add comments directly on engineer profiles, which streamlines the hiring process and reduces time-to-hire.

How does Amor source candidates from GitHub?

Amor tracks over 8 million developer profiles on GitHub, analyzing billions of contributions, stars, and activity patterns. This data-driven approach helps surface the top 1% of engineers based on their actual work.

Can I find engineers who are not active on LinkedIn?

Yes, Amor helps you discover high-quality developers who focus more on coding and building projects on GitHub rather than networking on LinkedIn. This GitHub-first approach allows you to tap into hidden talent pools.

Is there a way to collaborate with my team on candidate lists?

Absolutely! Amor provides features for creating and sharing candidate lists, adding comments, and sharing profiles directly with hiring managers, enabling seamless collaboration within your recruitment team.

What kind of data does Amor analyze for candidate evaluation?

Amor analyzes various data points, including contribution frequency, coding patterns, location data, and repository insights. This comprehensive analysis helps you make data-informed hiring decisions effectively.