Amor

About Amor

Amor is a powerful sourcing platform designed to help engineering managers, recruiters, and sourcers discover exceptional software engineering talent directly through GitHub activity. Instead of relying on polished LinkedIn profiles, Amor taps into the raw data of what developers actually build, analyzing over 8 million developer profiles, 66 million repositories, and 145 billion stars. Its core value proposition is saving you hours of manual work by replacing custom scripts and endless browsing with intelligent, filterable searches. You can answer precise questions like, "Which front-end engineers committed to Next.js or React repos regularly and live in San Francisco?" in seconds. Amor helps you identify the top 1% of engineers based on real contribution patterns, clean location data, and project insights, giving you access to a pool of highly technical, often under-the-radar candidates who are more focused on coding than networking. By exporting candidate lists directly to formats like Ashby-compatible CSV, Amor streamlines the entire process from discovery to outreach, enabling teams to hire better engineers faster.

Features of Amor

Top 1% Engineer Identification

Amor automatically tracks over 100,000 engineers with more than 500 contributions in the last year, helping you immediately focus on the most prolific and active developers on GitHub. This metric serves as a strong initial filter to ensure you're looking at individuals with a proven, consistent output, separating serious builders from occasional contributors.

Advanced Contribution Pattern Analysis

Go beyond simple commit counts. Amor lets you filter by coding frequency, consistency, and even weekend commit activity. This provides deep insight into a candidate's work ethic and passion, helping you determine if their development rhythm aligns with your team's culture and expectations for the role.

Smart Location Filtering

GitHub location fields are notoriously noisy, with entries like "Earth" or "The Cloud." Amor cleans this data up, standardizing it to proper cities, regions, and countries. This allows for precise geographic sourcing, so you can reliably find candidates in NYC, Berlin, or Toronto without sifting through irrelevant results.

Repository Insights & Technical Summaries

Quickly understand what a developer builds and cares about. Amor profiles provide an automatic summary of a developer's technical interests, starred projects, and the types of repositories they contribute to, giving you an at-a-glance view of their skills and passions before you even read their bio.

Use Cases of Amor

For In-House Recruiters Scaling Teams

In-house recruiting teams can use Amor to scale engineering hiring efficiently without compromising quality. By sourcing based on tangible GitHub activity, recruiters can quickly build pipelines of pre-qualified, technically skilled candidates, significantly reducing time-to-hire and focusing conversations on fit rather than basic skill verification.

For Recruiting Agencies Seeking an Edge

Agencies can gain a competitive advantage by accessing talent pools that LinkedIn-focused competitors miss. Amor enables them to find and place senior engineers and niche experts faster by uncovering highly active developers who may not be actively job-seeking or maintaining a high-profile on traditional networking platforms.

For Engineering Managers Making Hiring Decisions

Engineering managers can use Amor to find candidates who will thrive on their specific team. The platform's insights into contribution patterns and technical interests help managers assess both technical alignment and potential culture fit, empowering them to make more informed and confident hiring decisions.

For Sourcing Specialized or Underrepresented Talent

Amor is excellent for targeting specific tech stacks or communities. Whether you need an expert in Astro, Remix, or a specific open-source project, or want to proactively source from underrepresented groups in tech based on their public contributions, Amor's filters help you build a targeted, diverse candidate list.

Frequently Asked Questions

How does Amor find candidate contact information?

Amor enriches profiles by automatically extracting email addresses from GitHub commits where they are publicly available. It also includes discovered LinkedIn URLs and social profiles, providing you with the necessary contact information to initiate your outreach campaigns directly.

What makes Amor better than searching on LinkedIn?

Amor focuses on what developers do (their code and contributions) rather than just what they say on a curated profile. This GitHub-first approach reveals highly technical, often passive candidates who are actively building but may not be visible on traditional recruiting platforms, giving you access to an untapped talent pool.

Can I collaborate with my team on Amor?

Yes, Amor includes collaboration features built for fast-moving teams. You can create and share candidate lists, add internal notes and comments directly to profiles for team visibility, and work together to streamline the evaluation process and reduce time-to-hire.

How does the export to Ashby work?

You can add selected engineers to a candidate list within Amor and then export that list with one click. Amor formats the data into an Ashby-compatible CSV file, automatically including enriched emails, LinkedIn URLs, and tags based on source repositories and list names for easy organization upon import into your Ashby ATS.