Amor

About Amor

Amor is a revolutionary, data-driven sourcing platform that transforms how companies discover and hire elite engineering talent. It moves beyond the saturated and often superficial networks of traditional platforms like LinkedIn, unlocking the true potential hidden within the world's largest code repository: GitHub. By analyzing over 145 billion data points from 8 million+ developer profiles, Amor provides an unprecedented, objective lens into a candidate's technical prowess, work ethic, and genuine interests. It empowers engineering managers, recruiters, and sourcers to answer complex, high-signal questions in seconds—such as finding front-end engineers in NYC who actively contribute to specific frameworks like Next.js or Remix and demonstrate consistent, passionate coding habits. This game-changing approach saves hundreds of hours otherwise spent on manual scripting and fruitless searching, enabling teams to identify and engage with the top 1% of engineers—those who build, not just network. Amor is the definitive tool for any organization serious about raising its technical bar and winning the war for transformative talent by sourcing from an authentic, merit-based ecosystem.

Features of Amor

Top 1% Engineer Identification

Amor's core algorithm meticulously tracks over 100,000 engineers with more than 500 contributions in the last year, automatically surfacing the most prolific and active developers on GitHub. This isn't just about volume; it's about identifying consistent, high-impact contributors who form the elite tier of technical talent, saving you from sifting through millions of inactive or low-signal profiles to find truly exceptional candidates.

Advanced Contribution Pattern Analysis

Go beyond simple commit counts. Amor provides deep analytics on coding frequency, consistency, and even weekend commit activity. This transformative insight allows you to gauge a candidate's passion, dedication, and work rhythm, helping you determine not just if they can code, but if their development ethos and drive align with your team's culture and expectations.

Smart Location Filtering

GitHub location data is notoriously noisy and unreliable. Amor solves this with intelligent data cleaning and normalization, enabling precise searches by actual city, region, and country. Find engineers in "New York City" instead of wading through profiles listing "Earth" or "The Cloud," making geographic targeting accurate and efficient for local hiring or remote role sourcing.

Repository & Technical Interest Insights

Understand what a developer actually builds and cares about. Amor summarizes the types of projects they contribute to and the repositories they star, providing an at-a-glance view of their technical interests and expertise. See if they are deep into open-source web frameworks, machine learning libraries, or DevOps tooling, allowing for highly targeted sourcing based on real technical alignment.

Use Cases of Amor

For In-House Recruiting Teams

Scale your engineering hiring without compromising on quality. In-house recruiters use Amor to build robust pipelines of pre-vetted, technically excellent candidates, drastically reducing time-to-hire. The platform provides clear culture-fit indicators and work-ethic signals, empowering recruiters to have more informed conversations with hiring managers and engage candidates with compelling, merit-based outreach.

For Technical Recruiting Agencies

Gain a monumental competitive edge by accessing an exclusive, untapped talent pool invisible to LinkedIn-only recruiters. Agencies leverage Amor to find and place senior engineers and niche experts faster than their competitors, offering clients a unique sourcing advantage and accelerating placement cycles with high-signal, ready-to-interview candidates.

For Engineering & Hiring Managers

Hire engineers who will genuinely thrive and elevate your team. Engineering managers use Amor to quickly validate technical expertise and passion through real code contributions. The summarized profiles and contribution patterns allow managers to raise the hiring bar, ensuring new hires possess both the technical chops and the intrinsic motivation necessary for high-performance teams.

For Building Diverse Talent Pipelines

Proactively source from underrepresented communities in tech by moving beyond biased networks. Amor’s GitHub-first approach focuses purely on merit and activity, helping organizations discover highly skilled engineers from diverse backgrounds who may not be active on traditional professional networks, enabling more equitable and effective talent discovery.

Frequently Asked Questions

How does Amor find developer contact information?

Amor automatically enriches candidate profiles by parsing email addresses from their public Git commit history. This powerful feature, included in paid plans, provides direct contact information that is often verified through coding activity, alongside discovered LinkedIn and social profiles, streamlining your outreach process significantly.

Can I collaborate with my team on Amor?

Absolutely. Amor is built for team-based hiring. You can create and share candidate lists with colleagues, add internal notes and comments directly onto profiles for team visibility, and collaborate to make faster, better-informed placement decisions, all within the platform to streamline your hiring workflow.

How does the export to Ashby work?

Amor features a seamless, one-click export function that formats your candidate lists into an Ashby-compatible CSV file. The export is automatically enriched with emails, LinkedIn URLs, and smart tags based on source repositories and list names, allowing for instant import into your Ashby ATS and integration into your existing hiring pipeline in minutes.

What makes Amor better than searching on LinkedIn or GitHub directly?

Amor transforms raw, unstructured GitHub data into actionable intelligence. While searching directly is manual and limited, Amor applies advanced filters (commit frequency, project types, cleaned locations) across millions of profiles instantly. It uncovers passive, high-caliber candidates who build on GitHub but aren't necessarily job-seeking on LinkedIn, giving you access to a hidden market of top-tier engineering talent.