Amor

About Amor

Amor is a powerful sourcing platform designed to help engineering managers, recruiters, and sourcers find exceptional software engineers directly through their activity on GitHub. Traditional hiring tools often rely on self-reported resumes and LinkedIn profiles, which can be incomplete or outdated. Amor takes a different, data-driven approach by analyzing real coding contributions to identify truly active and skilled developers. It tracks millions of developer profiles and billions of data points, like commits and stars, to surface the top 1% of engineers based on their actual work. The platform answers specific, technical questions like, "Which front-end engineers in NYC regularly commit to React or Next.js repositories?" By providing deep filters for commit activity, location, and project types, Amor saves hours of manual searching and custom scripting. It helps you discover high-quality, "cracked" engineers who are deeply engaged in building software but may not be actively networking on professional social platforms, giving you access to an untapped talent pool and significantly speeding up your hiring process.

Features of Amor

Advanced GitHub Filtering

Amor’s core strength is its deep filtering capability that goes beyond simple keyword searches. You can filter engineers by specific commit activity, including their consistency and even weekend contributions, which can be a strong indicator of passion. You can also search by the exact programming languages they use, the specific open-source projects they contribute to (like Next.js or Astro), and their cleaned-up location data. This allows you to create hyper-targeted searches to find candidates with the exact technical background and work patterns you need for your role.

Smart Location Data Cleaning

GitHub location fields are famously noisy, with entries ranging from "Earth" to emojis. Amor intelligently cleans and standardizes this location data so you can reliably search for engineers by actual city, region, or country. This means you can confidently find candidates in "New York City" or "San Francisco Bay Area" without sifting through irrelevant or joke profiles, making geographic sourcing accurate and efficient.

Easy-to-Skim Candidate Profiles

Each engineer’s profile on Amor is automatically summarized for quick review. You get an instant overview of their technical interests, top programming languages, contribution patterns, and the types of projects they build and star. This saves you from manually digging through years of commit history and allows you to spend less time assessing each profile while still getting a comprehensive understanding of their skills and passions.

Team Collaboration & Export Tools

Amor is built for hiring teams to move fast together. You can create and share candidate lists with colleagues, add comments and notes directly on profiles for team visibility, and collaborate on hiring decisions. Most importantly, you can export your candidate lists directly into your Applicant Tracking System (ATS). With a one-click export to an Ashby-compatible CSV, profiles are auto-enriched with emails found in commits and LinkedIn URLs, streamlining your workflow from discovery to outreach.

Use Cases of Amor

For In-House Recruiters Scaling a Team

In-house recruiters can use Amor to scale engineering hiring without compromising on quality. By filtering for consistent commit history and contributions to relevant tech stacks, recruiters can identify engineers with proven technical chops and a strong work ethic. This data-driven approach reduces time-to-hire by quickly surfacing qualified candidates who are a great technical and cultural fit, directly from their real-world coding activity.

For Recruiting Agencies Placing Top Talent

Recruiting agencies can gain a competitive edge by using Amor to access an exclusive pool of candidates that LinkedIn-focused recruiters miss. The platform helps agencies find highly skilled, senior engineers who are actively coding on open-source projects. This allows them to place top-tier talent faster for their clients, demonstrating deep sourcing expertise and filling roles that require specific, verified technical expertise.

For Engineering Managers Hiring Their Team

Engineering managers can use Amor to hire developers who will truly thrive on their team. By reviewing a candidate's contribution patterns and project interests, a manager can assess both technical alignment and work-style fit. For example, they can find engineers passionate about a specific framework or identify those who contribute steadily, indicating reliability. This leads to more informed, successful hiring decisions.

For Sourcing Niche or Underrepresented Talent

Amor helps sourcers find great engineers from diverse and often overlooked communities. Because the platform discovers talent based on actual GitHub activity rather than polished personal networks, it can surface highly skilled developers from all over the world who may not have a strong presence on traditional recruiting platforms. This enables more inclusive and effective talent sourcing strategies.

Frequently Asked Questions

How does Amor find engineer contact information?

Amor automatically enriches candidate profiles by parsing email addresses that developers use in their public Git commit history on GitHub. It also finds and includes links to their LinkedIn and other social profiles when available. This information is neatly packaged in the exported CSV to power your outreach campaigns directly.

What makes Amor better than searching on LinkedIn?

While LinkedIn shows a candidate's professional network and self-reported experience, Amor shows what they actually build. It provides verified data on coding frequency, specific project contributions, and technical interests based on real activity. This helps you find engineers who are actively engaged and skilled, not just those who are good at networking or updating their profiles.

Can I try Amor for free?

Yes! Amor offers a Free plan that allows you to explore the platform with limited search results. This is a great way to understand how the filters work and see the kind of talent you can discover before committing to a paid plan. You can sign up and start searching right away at no cost.

How does the export to Ashby work?

After you build a list of candidates in Amor, you can click the "Export to Ashby" button. Amor will generate a formatted CSV file that is fully compatible with Ashby's import system. This file includes all the enriched candidate data (like emails and LinkedIn URLs) and tags them with their source repositories and your list names for easy organization within your ATS.

Pricing of Amor

Amor offers simple, transparent pricing with plans that scale for different needs.

Free: A great plan to try the platform. It includes limited search results and is always free.

Solo: Priced at $48 per month when billed annually. This plan is designed for power searching by one user and includes full search results, the ability to find repository contributors, and email enrichment for exported profiles.