Amor

About Amor

Amor is the definitive platform for transforming how you discover and hire elite engineering talent. It moves beyond the noisy, network-driven world of LinkedIn to tap into the true signal of a developer's skill: their code. By analyzing the massive, real-time dataset of GitHub activity, Amor empowers recruiters, sourcers, and engineering managers to pinpoint the top 1% of engineers based on tangible metrics like commit frequency, project contributions, and coding patterns. Imagine instantly answering complex sourcing questions like, "Find me senior front-end engineers in Berlin who actively contribute to open-source React projects and demonstrate consistent coding habits." Amor makes this possible in seconds, saving you from the endless hours of writing custom scripts or manually sifting through profiles. It's built for those who believe actions speak louder than a curated resume, providing a direct line to passionate, high-caliber builders who are often invisible to traditional recruiting tools. With Amor, you don't just find candidates; you unlock a hidden talent pool and accelerate your hiring pipeline with confidence and precision.

Features of Amor

Top 1% Engineer Identification

Amor's core intelligence lies in its ability to surface the most active and impactful developers on GitHub. The platform tracks over 100,000 engineers with more than 500 contributions in the last year, applying sophisticated filters to separate true coding excellence from mere activity. This ensures you are only viewing profiles that represent genuine, high-output talent, saving you from the noise and letting you focus on candidates who have proven their capabilities through consistent, meaningful work.

Advanced Contribution & Pattern Analysis

Go beyond simple star counts. Amor provides deep insights into a developer's work ethic and passion by analyzing their contribution frequency, consistency, and even weekend commit activity. This allows you to assess cultural fit and dedication, helping you find engineers who are not just skilled but are genuinely engaged builders, perfectly aligned with the dynamic pace of a top-tier startup or tech company.

Smart Location Filtering & Repository Insights

GitHub location data is notoriously messy. Amor cleans and standardizes this information, enabling precise searches by city, region, or country. Furthermore, it summarizes a developer's technical interests by analyzing the types of projects they build and star. You get an immediate, skimmable overview of their skillset—whether they're into Next.js, machine learning, or DevOps—accelerating your initial screening process dramatically.

Seamless Team Collaboration & Ashby Export

Amor is built for fast-moving hiring teams. Create and share candidate lists, add internal notes for team visibility, and collaborate to make better decisions faster. Most powerfully, you can export enriched candidate profiles directly into Ashby's CSV format. Amor auto-enriches data with emails from commits and LinkedIn URLs, tagged with source repositories, making your ATS import a one-click operation that shaves days off your hiring timeline.

Use Cases of Amor

For In-House Recruiters Scaling Engineering Teams

Scale your hiring without sacrificing quality. Amor empowers in-house recruiters to build a robust pipeline of pre-vetted, technically excellent candidates. By filtering for specific tech stacks, contribution patterns, and locations, you can quickly identify engineers who have the right skills and work ethic, dramatically reducing time-to-hire and ensuring you present only the most qualified talent to your hiring managers.

For Recruiting Agencies Placing Top Talent

Gain a decisive competitive edge. While others are stuck refreshing LinkedIn, you can access an exclusive, untapped pool of elite engineers who focus on building, not networking. Amor allows agencies to find and place senior, specialized talent faster, offering clients candidates they simply cannot find elsewhere and securing your reputation as a top-tier sourcing partner.

For Engineering Managers Hiring for Their Team

Take control of your hiring bar. Engineering managers can use Amor to find candidates who will truly thrive in their specific environment. By reviewing contribution patterns and project insights, you can gauge technical passion, learning agility, and potential culture fit before the first interview, ensuring you hire builders who will elevate your entire team's performance from day one.

For Sourcing Specialized or Niche Technical Roles

When you need an expert in a specific framework, language, or domain, generic platforms fall short. Amor lets you drill down into the exact open-source communities and projects relevant to your niche. Find the top contributors to Astro, Remix, or specific ML libraries, connecting directly with experts who are actively shaping the tools and technologies you use.

Frequently Asked Questions

How does Amor define the "top 1%" of engineers?

Amor defines the top 1% through a multi-faceted analysis of public GitHub activity. Key metrics include the volume and consistency of commits (tracking over 100,000 devs with 500+ yearly contributions), the quality and relevance of contributed projects, and patterns like weekend coding activity. This data-driven approach identifies developers who are not just active but are impactful, consistent contributors.

What kind of location data does Amor use and how is it cleaned?

Amor uses location data from developers' public GitHub profiles, which is often entered in free-form text (e.g., "NYC," "New York," "Brooklyn, NY"). Our platform cleans this noisy data by standardizing entries to recognized cities, regions, and countries. This allows for accurate, reliable filtering so you can confidently search for candidates in "San Francisco" or "Germany" without missing relevant profiles.

Can I try Amor before committing to a paid plan?

Yes! Amor offers a completely Free plan that allows you to explore the platform's core search functionality with a limited set of results. This is perfect for understanding the interface and the power of GitHub-based sourcing before upgrading to a paid Solo plan for full, unrestricted access to all search results and advanced features like email enrichment.

How does the export to Ashby work?

The Ashby export is a seamless, time-saving feature. After building a candidate list in Amor, you can click "Export to Ashby." Amor automatically formats the data into a CSV file compatible with Ashby's import system. It enriches the data by pulling available email addresses from commit histories, finding LinkedIn profiles, and tagging candidates with their source repository and list name for perfect organization in your ATS.