Amor

Amor is a revolutionary sourcing platform built for a new era of technical hiring. It moves beyond traditional resumes and LinkedIn profiles to find exceptional software engineers based on what truly matters: their actual code. By analyzing real activity on GitHub, Amor helps engineering managers, recruiters, and sourcers discover highly skilled, "cracked" engineers who are deeply engaged in building software but may not be actively networking on professional platforms. The platform tracks millions of developer profiles and billions of data points like commits and stars to surface the top 1% of talent based on genuine contribution. This data-driven approach answers specific technical questions, like finding front-end engineers in a certain city who regularly contribute to React projects, saving you countless hours of manual searching. Ultimately, Amor gives you access to an untapped talent pool of passionate builders, significantly speeding up your hiring process and helping you place top-tier engineering talent faster than your competition.

Find Top 1% Engineers

Amor's powerful algorithms analyze over 8 million developer profiles and 145 billion data points to identify the most active and skilled engineers. It automatically surfaces over 100,000 engineers with more than 500 contributions in the last year, ensuring you're looking at candidates with proven, consistent coding output rather than just a polished resume.

Smart Contribution & Location Filters

Go beyond basic keyword searches. Amor lets you filter engineers by detailed contribution patterns, including coding frequency, consistency, and even weekend activity, to gauge work ethic. It also cleans up noisy GitHub location data, allowing you to search accurately by city, region, or country to find local talent or engineers in specific markets.

Easy-to-Skim Profile Insights

Each developer profile is automatically summarized for quick review. You can instantly see a candidate's technical interests, the types of projects they build and star, and a snapshot of their skills. This allows you to spend less time deciphering profiles and more time engaging with qualified candidates.

Export to Ashby & Team Collaboration

Streamline your workflow by exporting candidate lists directly to Ashby's CSV import format. Amor auto-enriches profiles with emails from commits and LinkedIn URLs. For teams, features like shared candidate lists and profile comments enable better collaboration, helping everyone move faster and make unified hiring decisions.

For In-House Recruiting Teams

Scale your engineering hiring efficiently without compromising on quality. Amor helps in-house recruiters find expert engineers with the right technical chops and work ethic indicators, creating a faster and more reliable hiring pipeline that reduces time-to-hire and raises the talent bar for the entire company.

For Technical Recruiting Agencies

Gain a competitive edge by accessing candidates your LinkedIn-only competitors don't know exist. Recruiting agencies can use Amor to find and place top senior engineering talent faster, leveraging exclusive sourcing from GitHub to offer unique, high-quality candidates to their clients.

For Engineering Managers

Hire engineers who will truly thrive on your team. Engineering managers can use Amor to quickly understand a candidate's deep technical interests and contribution patterns, providing instant insight into both technical expertise and potential culture fit, empowering better and faster hiring decisions.

For Sourcing Untapped Talent Pools

Discover highly technical engineers who focus on building, not networking. Amor is perfect for sourcing from underrepresented communities and finding passive candidates who maintain consistently active GitHub profiles but are not visible on traditional recruiting channels, unlocking hidden talent.

How does Amor find candidate contact information?

Amor auto-enriches developer profiles by extracting email addresses directly from their public GitHub commit history. This provides a direct and verified contact method that is often more reliable than searching for contact info on social profiles.

What makes Amor better than searching on LinkedIn?

Amor focuses on real coding activity and contributions on GitHub, while LinkedIn relies on self-reported career summaries. This gives you proof of skill, work ethic, and passion. Many of the best engineers are not actively networking on LinkedIn, so Amor opens up a whole new, untapped talent pool.

Can I try Amor before committing to a plan?

Yes, Amor offers a free tier that allows you to experience the platform with limited search results. This lets you explore the features and see the quality of candidates without requiring a credit card upfront.

How does the Export to Ashby feature work?

After building a list of candidates in Amor, you can click "Export to Ashby." Amor formats the data into a CSV file compatible with Ashby's import system, automatically including enriched emails, LinkedIn URLs, and tags based on source repositories and list names for easy organization.