Amor

About Amor

Amor is an innovative tool designed specifically for engineering managers, recruiters, and sourcers seeking to identify the top 1% of engineers on GitHub. By leveraging advanced filtering capabilities, Amor allows users to sift through a vast pool of over 8 million developer profiles and 66 million repositories, making it easier than ever to find candidates who not only have the right skills but also demonstrate a commitment to their craft through consistent coding activity. With features like smart location data, contribution patterns, and repository insights, Amor empowers hiring teams to make informed decisions quickly. Whether you are searching for front-end engineers familiar with frameworks like Next.js or React, or simply need to uncover hidden talent, Amor simplifies the process, saving hours that would otherwise be spent on traditional sourcing methods like LinkedIn. By focusing on GitHub activity, Amor helps you connect with engineers who are dedicated to building and creating, enabling you to build a strong team faster than ever.

Features of Amor

Advanced Filtering

Amor’s advanced filtering system allows you to search for candidates based on specific criteria such as commit activity, programming languages, and project contributions. This saves you valuable time and resources, enabling you to identify qualified candidates quickly and efficiently.

Smart Location Data

GitHub profiles often contain noisy or inaccurate location information. Amor cleans this data, allowing you to filter candidates by exact city, region, or country, ensuring that you find local talent that fits your geographical requirements.

Contribution Patterns

Understanding a candidate's coding frequency and consistency is crucial for assessing their fit for your team. Amor analyzes contribution patterns, including weekend activity, to provide insights into a candidate's work ethic and commitment to their projects.

Easy-to-Skim Profiles

With Amor, you receive automatic summaries of developer interests, skills, and activity. This streamlined profile presentation allows you to quickly assess potential candidates without getting bogged down in excessive details, making your hiring process more efficient.

Use Cases of Amor

Sourcing Top Talent

Engineering managers can use Amor to find exceptional engineers who are actively contributing to relevant repositories on GitHub. This enables them to discover candidates who may not be visible on traditional platforms like LinkedIn.

Reducing Time-to-Hire

Recruiting agencies can leverage Amor to speed up the hiring process. By accessing a curated list of high-quality candidates, agencies can place top engineering talent quickly and effectively, outpacing competitors who rely solely on LinkedIn.

Enhancing Team Collaboration

Hiring teams can utilize Amor to create and share candidate lists, making it easier to collaborate on hiring decisions. With features that allow for profile comments and insights, team members can communicate effectively, ensuring everyone is on the same page.

Identifying Underrepresented Talent

Amor makes it possible to source candidates from diverse and underrepresented communities within the tech industry. By focusing on GitHub activity, organizations can tap into talent pools that may otherwise go unnoticed.

Frequently Asked Questions

How does Amor identify the top 1% of engineers?

Amor tracks over 100,000 engineers with substantial contributions on GitHub, analyzing their commit activity and project involvement to identify those who are consistently performing at a high level.

Can I export candidate profiles to other tools?

Yes, Amor allows you to export your candidate lists directly to Ashby in a compatible CSV format, making it easy to integrate with your existing recruitment processes and tools.

Is there a free trial available for Amor?

Amor offers a free tier that allows users to try the platform before committing to a paid subscription. This tier includes limited search results, ensuring you can evaluate the tool's effectiveness without any financial commitment.

How does Amor ensure the accuracy of location data?

Amor cleans and standardizes location information from GitHub profiles, allowing users to filter candidates by precise geographical locations, thereby enhancing the reliability of the search results.