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Measured on six things

Amor is a recruitment platform that helps companies find and hire software engineers by analyzing GitHub activity and contribution data.

Accessibility

Basic web accessibility standards met with responsive design, but lacks advanced features like screen reader support.

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Amor

About this app

Amor revolutionizes tech recruitment by diving deep into GitHub profiles to assess real coding activity, contributions, and repository insights. Instead of relying on traditional resumes, it uses advanced filtering to identify high-quality talent based on commit frequency, project involvement, and programming languages. This data-driven approach saves time for recruiters and engineering managers, offering features like team collaboration tools and easy-to-skim profiles. With a clean, modern interface and secure OAuth integration, Amor addresses core pain points in sourcing and vetting software engineers, making it an essential tool for tech-focused hiring.

Key features

1GitHub activity analysis with commit frequency and contribution tracking
2Advanced filtering by programming languages and project involvement
3Team collaboration tools with shared notes and candidate lists

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

In-house Recruiters

Pain points

Time-consuming candidate sourcing, difficulty verifying technical skills beyond resumes

Primary needs

Efficient tools to find and assess software engineers with proven GitHub activity

Demographic

Recruiting Agencies

Pain points

High volume of candidates, need for accurate and scalable matching to client requirements

Primary needs

Data-driven solutions to source qualified engineers and streamline client presentations

Demographic

Engineering Managers

Pain points

Limited time for extensive candidate searches, desire for direct access to vetted technical talent

Primary needs

Quick identification of engineers who align with team needs and project requirements

Scout Review

Written by AI from measured evidence, scored out of 100.

Amor represents a significant step forward in tech recruitment by focusing on what really matters: actual coding activity and contributions. The platform successfully bridges the gap between traditional resume-based hiring and the need for verifiable technical skills assessment. Its data-driven approach eliminates much of the guesswork in candidate evaluation, while the clean interface and collaboration tools make it practical for real-world recruitment workflows.

Measure by measure

Usability

Excellent filtering system and collaboration tools make candidate sourcing and team workflow seamless and efficient.

Design

Clean, modern interface with GitHub-inspired visual cues and intuitive dashboard layout that organizes profile data effectively.

Speed

Fast search results and real-time filtering handle large datasets with minimal lag, ensuring smooth recruitment sessions.

Security

Secure OAuth integration with GitHub provides reliable data access without storing sensitive credentials.

Accessibility

Basic web accessibility standards met with responsive design, but lacks advanced features like screen reader support.

Growth

Strong market demand in tech recruitment with clear expansion opportunities into broader talent sourcing platforms.

Improvement areas

Limited platform integration beyond GitHub ecosystem
Basic accessibility features without advanced support options
Visual-heavy interface may challenge users with visual impairments

Design & Usability

Amor's interface strikes a perfect balance between familiarity and innovation, adopting GitHub's visual language with activity heatmaps and contribution graphs that feel instantly recognizable to developers and recruiters alike. The dashboard organizes complex GitHub data into digestible sections, while filtering options are strategically placed for quick access. Collaboration features like shared notes and candidate lists integrate seamlessly without cluttering the workspace, creating an environment where teams can efficiently source and evaluate technical talent without the usual friction of traditional recruitment tools.

Speed & Security

Performance-wise, Amor delivers responsive search results and real-time filtering that handles extensive GitHub datasets without noticeable lag. The platform's speed ensures recruiters can conduct intensive candidate searches without frustrating delays. Security is handled through OAuth integration with GitHub, eliminating the need to store sensitive credentials while maintaining secure data access. While the platform could benefit from more transparent documentation about encryption protocols, the current implementation provides reliable protection for user data and candidate information.

Accessibility & Growth

Accessibility follows basic web standards with responsive design across devices, though it lacks advanced features like comprehensive screen reader support or extensive language localization. The visual-heavy nature of GitHub data presentation could pose challenges for users with visual impairments. However, Amor's growth potential is substantial given the increasing demand for data-driven recruitment solutions. The platform's unique focus on actual coding activity rather than resume claims positions it well for expansion into broader technical talent markets and integration with additional development platforms.

Conclusion

For tech companies tired of sifting through inflated resumes and wanting to hire based on demonstrated coding prowess, Amor offers a refreshingly practical solution. It's particularly valuable for engineering managers and technical recruiters who understand that GitHub activity often tells a more honest story than any resume ever could. If you're building an engineering team and want to leverage actual development track records rather than interview performances, this platform deserves your attention.

Suggestions for improvement

Expand platform integration beyond GitHub to include GitLab and Bitbucket for broader candidate sourcing
Implement comprehensive screen reader compatibility and multi-language interface options
Add deeper analytics on code quality, project impact, and collaboration patterns beyond basic metrics
Develop mobile app version with full functionality for on-the-go recruitment management

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Amor	Hired	LinkedIn Recruiter	GitHub Jobs
GitHub Integration Depth	Deep GitHub analysis with contribution tracking and activity metrics	Limited GitHub integration, focuses on pre-vetted candidates	Professional network focus, minimal GitHub insights	Basic job board, lacks advanced filtering and collaboration
Candidate Filtering Capabilities	Advanced filtering by commit frequency, languages, project history	Standard role and skill-based filtering	Experience and education-focused filtering	Basic location and technology stack filtering
Team Collaboration Features	Shared notes, candidate lists, and team workflow tools	Limited team features, primarily individual recruiter focus	Enterprise collaboration tools with project tracking	Minimal collaboration features, basic job posting