Amor

Amor is a groundbreaking AI-powered talent intelligence platform reimagining the way engineering teams identify and engage elite technical talent. By leveraging a unique GitHub-first approach, Amor dives deep into the authentic signals of engineering prowess, analyzing the GitHub commit graph rather than relying on traditional professional networks. This innovative platform processes extensive datasets, including over 8 million developer profiles, 66 million repositories, and a staggering 145 billion stars, to identify the top 1% of engineers based on their real, verifiable contributions. Designed for engineering managers, in-house recruiters, and agencies, Amor automates the tedious process of talent sourcing, providing quick answers to hyper-specific queries, such as locating front-end engineers in New York City who actively contribute to Next.js projects. This capability not only saves time but also delivers a pipeline of pre-vetted, high-caliber candidates whose focus is on building rather than networking. By unlocking access to a vast pool of passive, highly technical talent, Amor enables teams to hire exceptional engineers with the right skills and work ethic exponentially faster than their competitors.