Amor

About Amor

Amor is a powerful sourcing platform designed to help engineering managers, recruiters, and sourcers discover top-tier software engineering talent directly from GitHub activity. It solves the critical problem of finding highly skilled, technically proficient engineers who may not be active on traditional professional networks like LinkedIn. By analyzing over 8 million developer profiles, 66 million repositories, and 145 billion stars, Amor provides deep, actionable insights into a candidate's real-world coding contributions, work ethic, and technical interests. The core value proposition is efficiency and quality: it saves hours of manual scripting and profile hunting by enabling precise searches based on commit activity, project contributions, cleaned location data, and coding patterns. Amor helps you answer specific questions like "which front-end engineers committed to Next.js repos and live in NYC?" in seconds, allowing teams to identify and engage with the top 1% of engineers—those with proven, consistent contributions—faster than the competition.

Features of Amor

Top 1% Engineer Identification

Amor's platform tracks over 100,000 engineers with more than 500 contributions in the last year, automatically surfacing candidates in the highest echelon of GitHub activity. This feature moves you beyond resumes and self-reported skills, allowing you to filter for developers with demonstrable, consistent output. It provides a data-driven foundation for identifying truly active and prolific coders, ensuring your outreach targets individuals with a proven track record of getting things done.

Advanced Contribution Pattern Analysis

Go beyond simple commit counts. Amor analyzes coding frequency, consistency, and even weekend commit activity to help you gauge a candidate's work ethic and passion. This insight is crucial for understanding if an engineer's working style and dedication align with your team's culture and project demands, helping you find not just skilled developers, but the right fit for your specific environment.

Smart Location Filtering

GitHub location data is notoriously noisy, with entries ranging from "Earth" to emojis. Amor cleans and standardizes this data, enabling you to search effectively by real city, region, and country. This feature eliminates the guesswork from geo-targeting your search, making it simple to find qualified engineers in specific talent pools like San Francisco, Berlin, or remote-friendly regions.

Repository Insights & Technical Summaries

Quickly understand what types of projects a candidate builds and stars. Amor provides an automatic, easy-to-skim summary of a developer's technical interests and the repositories they contribute to, such as nextjs, astro, or remix. This gives you immediate context on their skills and passions, drastically reducing the time needed to manually review a GitHub profile.

Use Cases of Amor

For In-House Recruiters Scaling Teams

In-house recruiting teams can use Amor to scale engineering hiring efficiently without compromising on quality. By filtering for specific tech stacks, contribution consistency, and location, recruiters can build a pipeline of pre-vetted, technically excellent candidates. This reduces time-to-hire significantly by focusing outreach on engineers who already demonstrate the required technical chops and work ethic directly through their code.

For Recruiting Agencies Seeking an Edge

Agencies can leverage Amor to access an untapped talent pool of high-quality engineers who are less visible on LinkedIn. This provides a competitive advantage in placing top-tier talent faster. By sourcing candidates based on actual GitHub activity, agencies can present exclusive, highly qualified leads to clients, speeding up the placement process and building a reputation for finding exceptional technical talent.

For Engineering Managers Hiring for Fit

Engineering managers can use Amor to find candidates who will thrive on their specific team. By reviewing contribution patterns and repository insights, a manager can assess not just technical ability but also indicators of culture fit, passion for relevant technologies, and a sustainable work rhythm. This leads to more informed hiring decisions and helps raise the overall bar for the team.

For Building Targeted Candidate Lists

Users can create, share, and collaborate on lists of high-quality candidates. This is ideal for teams that need to move fast, allowing recruiters, sourcers, and hiring managers to align on top prospects. Adding profile comments and sharing insights within the platform streamlines the decision-making process, ensuring everyone is on the same page and reducing time-to-hire.

Frequently Asked Questions

How does Amor find candidate contact information?

Amor automatically enriches profiles with email addresses extracted from GitHub commit histories where publicly available. It also includes links to LinkedIn and other social profiles found on the developer's GitHub profile. This enrichment saves you the manual step of hunting for contact details, making your outreach process faster and more direct.

What makes Amor better than searching on LinkedIn?

Amor focuses on proven coding activity and technical contributions, while LinkedIn focuses on professional networking and self-reported experience. Many of the best engineers are consistently building on GitHub but may not actively maintain a LinkedIn profile. Amor gives you access to this hidden talent pool and provides objective data on a candidate's actual skills and work habits.

Can I collaborate with my team on Amor?

Yes, Amor is built for team collaboration. You can create and share candidate lists with colleagues, add notes and comments directly to profiles for team visibility, and work together to make faster placement decisions. This feature centralizes sourcing efforts and ensures alignment across recruiters, sourcers, and hiring managers.

How does the export to Ashby work?

You can export any candidate list from Amor directly into an Ashby-compatible CSV format. The export includes auto-enriched emails, LinkedIn URLs, and smart tags based on source repositories and list names. Simply search for engineers, add them to a list, click "Export to Ashby," and then import the CSV file directly into your Ashby account to begin outreach.

Pricing of Amor

Amor offers simple, transparent pricing that scales with your team size. The Free plan allows you to try the platform with limited search results at no cost. The Solo plan, priced at $48 per month (billed annually), provides full search results, the ability to find specific repository contributors, and email enrichment features for a single user.