AmazingHiring

Overview

AmazingHiring is an AI-powered sourcing platform designed to identify and recruit technical talent by aggregating candidate data from over 50 professional sources, including GitHub, Stack Overflow, Kaggle, and LinkedIn. Founded in 2014 and based in San Francisco, the company has positioned itself as a specialized solution for technical hiring rather than a generalist recruiting tool.

What distinguishes AmazingHiring from broader ATS platforms is its focus on building rich, multi-dimensional developer profiles by pulling together activity, contributions, and skills data from technical communities. This approach is particularly valuable for identifying passive candidates—developers who may not be actively job searching but whose public technical work demonstrates relevant expertise. The platform targets mid-market companies that need to source engineering talent at scale without relying solely on traditional job boards or recruiter networks.

The tool combines data aggregation with automation features including bulk messaging, email templates, Boolean search capabilities, and AI-powered candidate matching. Integration with LinkedIn and a Chrome extension make it accessible within existing workflows, while API access and a reporting dashboard provide flexibility for teams that want to embed sourcing into their recruitment infrastructure.

Who Should Use AmazingHiring?

• Mid-market tech and software companies hiring technical roles (engineers, developers, data scientists) who need to source beyond traditional channels and identify passive candidates with verified technical skills.

• In-house technical recruiters and hiring managers who want visibility into candidates' public work portfolios, GitHub contributions, and community participation rather than relying on resume screening alone.

• Organizations with distributed or remote-first hiring models that need to evaluate technical aptitude objectively and discover qualified candidates globally across technical platforms.

• Companies building specialized technical teams (machine learning engineers, full-stack developers, DevOps specialists) where traditional recruiting methods miss a significant pool of qualified but passive talent.

The Bottom Line

AmazingHiring addresses a real gap in technical talent sourcing by moving beyond LinkedIn-centric recruitment to tap into the platforms where developers actually demonstrate their skills. The aggregation of data from 50+ sources, combined with AI matching and bulk outreach features, offers a streamlined workflow for teams sourcing engineering talent at scale. The platform's focus on enriching candidate profiles with technical signals—code repositories, open-source contributions, competition placements—provides measurable indicators of capability that resumes often obscure.

However, potential users should note that pricing is not publicly available, which requires direct contact with the vendor and makes budget planning less transparent. Additionally, while the platform holds a solid 4.2/5 rating, specific user feedback on strengths and limitations is not yet well-documented, making it harder to assess real-world performance relative to alternatives.

AmazingHiring is recommended for mid-market companies with dedicated technical hiring needs and the budget to invest in specialized sourcing tools. It works best as part of a broader recruitment strategy rather than a complete ATS replacement, particularly when passive candidate identification and technical skill validation are priorities.