Amor

Discover and hire the top 1% of GitHub engineers effortlessly with advanced filtering and insightful analytics.

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Published on:

October 15, 2025

Pricing:

Amor application interface and features

About Amor

Amor is a cutting-edge tool designed for engineering managers, recruiters, and sourcers seeking to find the top 1% of engineers on GitHub. By leveraging powerful filtering options, Amor enables users to identify candidates based on their commit activity, geographical location, and contributions to specific projects. This tool streamlines the often painstaking process of talent sourcing, allowing you to quickly answer questions like "Which front-end engineers are actively committing to Next.js or React repositories and reside in New York City?" Gone are the days of laboriously writing custom scripts or endlessly scrolling through LinkedIn. With access to over 8 million developer profiles and 66 million repositories, Amor transforms how companies discover high-quality engineering talent. It empowers teams to focus on what truly matters—finding exceptional engineers who can drive project success and fit seamlessly into their organizational culture.

Features of Amor

Advanced Filtering

Amor's advanced filtering capabilities allow users to hone in on qualified candidates effortlessly. You can filter by contribution frequency, programming languages, and even specific project repositories to find the right engineer who meets your precise criteria.

Smart Location Data

GitHub profiles often contain inaccurate or unclear location information. Amor cleans this data, enabling users to search for candidates by city, region, and country, ensuring that you find engineers who are not just skilled but also conveniently located for your needs.

Contribution Patterns

Understanding a candidate's coding habits is crucial for team compatibility. Amor tracks coding frequency, consistency, and weekend activity, providing insights into whether potential hires have the work ethic and commitment that align with your team’s expectations.

Easy to Skim Profiles

Amor simplifies the candidate review process by presenting automatic summaries of developer interests, skills, and activity. This feature allows you to quickly assess multiple profiles without getting bogged down in unnecessary details, saving you valuable time.

Use Cases of Amor

Hiring for Specialized Roles

When looking for engineers with expertise in niche technologies such as Next.js or Astro, Amor enables targeted searches that reveal qualified candidates who are not easily found through conventional channels.

Rapid Talent Acquisition

For startups needing to scale quickly, Amor provides a rapid means of sourcing engineers who are actively engaged in coding, allowing for faster hiring decisions and reduced time-to-hire.

Building Diverse Teams

Amor facilitates sourcing from underrepresented communities in tech, ensuring that your hiring practices are not just inclusive but also broaden your access to unique talent pools that may be overlooked by traditional methods.

Team Collaboration on Hiring

Amor enhances team collaboration by allowing users to create and share candidate lists, add comments on profiles, and streamline the feedback process, making it easier to make collective hiring decisions.

Frequently Asked Questions

How does Amor find top engineers on GitHub?

Amor analyzes over 145 billion stars across 66 million repositories and tracks 8 million developer profiles to identify the top performers based on their commit activity and project contributions.

Can I export candidate lists directly from Amor?

Yes, you can easily export your candidate lists to Ashby in a CSV format. Amor enriches these profiles with emails from GitHub commits and LinkedIn URLs for your convenience.

Is Amor suitable for in-house recruiters only?

No, Amor is designed for various users, including recruiting agencies and engineering managers, making it a versatile tool for anyone in the tech hiring landscape.

How does Amor improve the hiring process?

By providing advanced filtering and insights into candidate contributions, Amor significantly reduces the time spent on manual screening, enabling teams to make faster and more informed hiring decisions.

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