Amor

About Amor

Amor redefines the art of technical talent acquisition by transforming the vast, unstructured data of GitHub into a precise and powerful sourcing engine. Designed for discerning engineering managers, recruiters, and sourcers, Amor provides an unparalleled window into the world of elite software engineers who demonstrate their craft through code, not just resumes. The platform intelligently analyzes over 8 million developer profiles, sifting through billions of data points on commits, stars, and repositories to surface the top 1% of talent based on genuine contribution metrics. Its core value proposition is elegant efficiency: it replaces countless hours of manual scripting, LinkedIn guesswork, and profile scraping with a sophisticated query system. Users can answer complex, nuanced questions like "which senior backend engineers in Berlin consistently contribute to open-source Go projects?" in moments. By focusing on real-world coding activity, contribution patterns, and cleaned location data, Amor unlocks access to a hidden pool of highly technical, often under-the-radar candidates, enabling teams to hire not only faster but with significantly greater confidence in a candidate's practical skills and work ethic.

Features of Amor

Elite Contributor Identification

Amor's foundational capability is its algorithmic curation of the most actively contributing engineers on GitHub. The platform tracks over 100,000 developers who have made more than 500 contributions in the past year, effectively filtering for the top percentile of committed talent. This goes beyond simple follower or star counts to focus on tangible, regular output, ensuring you engage with individuals who are consistently building and contributing to the ecosystem, rather than those who merely maintain a presence.

Advanced Behavioral Filtering

Move beyond basic keyword searches with filters that analyze developer behavior and work patterns. Amor allows you to screen for commitment frequency, consistency over time, and even weekend coding activity, providing subtle indicators of passion and work style. You can filter engineers by their specific contributions to major frameworks like Next.js, Astro, Remix, or React, ensuring technical alignment with your stack from the very first touchpoint.

Intelligent Location & Repository Insights

GitHub location data is notoriously noisy, filled with jokes and non-standard entries. Amor cleans and standardizes this data, enabling precise searches by city, region, or country. Furthermore, the platform analyzes the types of projects a developer contributes to and stars, generating an automatic summary of their technical interests and domain expertise. This provides immediate, skimmable insight into whether a candidate's passions align with your projects.

Seamless Team Collaboration & Ashby Export

Amor is built for collaborative hiring workflows. Teams can create and share candidate lists, add internal notes and comments directly to profiles, and streamline decision-making. A standout feature is the one-click export to Ashby-compatible CSV, which auto-enriches profiles with email addresses parsed from commit history, includes discovered LinkedIn URLs, and tags candidates with source context, dramatically reducing administrative overhead and accelerating pipeline movement.

Use Cases of Amor

For In-House Technical Recruiters Scaling Teams

In-house recruiters tasked with scaling engineering teams without compromising on quality use Amor to build robust, technically-vetted pipelines. The platform enables them to identify expert engineers with proven contribution histories, assess potential culture fit through activity patterns, and ultimately construct a faster, more reliable hiring pipeline. It empowers recruiters to speak confidently about a candidate's technical narrative with hiring managers.

For Recruiting Agencies Seeking a Competitive Edge

Agencies leverage Amor to access an exclusive, untapped talent pool that competitors relying solely on LinkedIn cannot reach. By sourcing highly technical, often passive candidates who are deeply engaged on GitHub, agencies can place top-tier senior engineering talent faster. This data-driven approach provides a compelling value proposition to client companies seeking candidates with demonstrable, hands-on expertise.

For Engineering Managers Making Strategic Hires

Engineering managers utilize Amor to take a hands-on role in sourcing candidates who will truly thrive within their team. The platform's summaries of technical interests and indicators of work ethic allow managers to quickly evaluate both skill alignment and potential team fit. This enables them to raise the hiring bar by proactively seeking out individuals whose public work reflects the technical rigor and passion they require.

For Sourcing Specialized or Niche Technical Skills

When searching for expertise in emerging technologies, specific open-source frameworks, or underrepresented tech stacks, traditional sourcing methods often fall short. Amor allows sourcers to pinpoint developers who have actively contributed to relevant repositories, providing a direct line to specialists who are demonstrably skilled in the exact areas needed, from niche programming languages to cutting-edge infrastructure tools.

Frequently Asked Questions

How does Amor define the "top 1%" of engineers?

Amor defines elite talent through a multi-faceted analysis of genuine coding activity, not social metrics. The primary benchmark includes engineers with over 500 contributions in the past year. This is further refined by analyzing the consistency and quality of commits, involvement in significant projects, and other behavioral data from our dataset of over 8 million profiles, ensuring a focus on sustained, high-output contributors.

What kind of location data can I search with?

Amor processes and cleans the often-unreliable location strings found on GitHub profiles. This allows for precise, standardized searching by actual city names, regions, and countries. You can reliably find engineers in "New York City" instead of sifting through profiles listing "Earth" or "The Cloud," making geographic sourcing for local or remote roles significantly more efficient and accurate.

How does the integration with Ashby work?

Amor features a dedicated export function that formats your curated candidate lists into a CSV file perfectly structured for import into Ashby's applicant tracking system. The export automatically enriches data by extracting email addresses from commit histories, finding associated LinkedIn profiles, and tagging candidates with their source repository and list name for seamless tracking and organization within your hiring workflow.

Can I use Amor for free?

Yes, Amor offers a Free tier designed for users to explore the platform's core capabilities. This tier provides access to search functionality but with limited results. For full, unrestricted access to all search results, advanced filters, repository contributor searches, and email enrichment features, users can upgrade to the paid Solo plan, which is billed annually.