Amor vs Fractional Quest

Massive GitHub Intelligence Database

Amor maintains a proprietary database indexing over 8 million developer profiles, 66 million repositories, and 145 billion stars. This infrastructure allows for sourcing based on actual coding output rather than self-reported skills. The platform specifically tracks over 100,000 engineers who have made more than 500 contributions in the last year, providing direct access to the top tier of actively contributing technical talent.

Contribution Pattern & Work Ethic Analysis

The platform provides deep analytics on developer contribution patterns, including coding frequency, consistency over time, and even weekend activity. This data offers recruiters and hiring managers objective indicators of a candidate's work ethic, passion for coding, and potential cultural fit, moving beyond subjective resume assessments to understand how an engineer actually works.

Smart Location Data & Advanced Filtering

GitHub profile location data is notoriously noisy and inconsistent. Amor cleans this data algorithmically, enabling precise searching by city, region, and country. This is part of a comprehensive advanced filtering system that allows users to filter candidates by contribution frequency, specific programming languages, repository types, and other technical criteria to instantly surface qualified profiles.

Integrated Team Collaboration & Export Tools

Amor is built for collaborative hiring workflows. Teams can create and share candidate lists, add profile comments for internal visibility, and streamline decision-making. A key integration feature allows for one-click export of candidate lists directly into Ashby-compatible CSV format, auto-enriched with emails sourced from GitHub commits and LinkedIn URLs to accelerate outreach.

Curated Job Listings

Fractional Quest provides a carefully curated selection of fractional executive job listings. Each opportunity is verified and vetted by a specialist team, ensuring that candidates only encounter genuine C-suite roles from reputable companies.

Transparent Pricing Structure

The platform displays clear and upfront day rates for each role, ranging from £600 to £2,000. This transparency eliminates guesswork and allows candidates to make informed decisions without engaging in lengthy negotiations.

Expert Recruitment Support

The recruitment team at Fractional Quest is dedicated to understanding the nuances of fractional work. They match candidates based on their specific schedules, sector expertise, and career aspirations, ensuring optimal alignment between executives and employers.

Fast Matching Process

Employers can receive matches with pre-vetted candidates within 48 hours. This rapid response aids companies in quickly filling fractional executive roles, allowing them to maintain productivity without the delays associated with traditional hiring processes.

In-House Technical Recruiting Teams

In-house recruiters at scaling tech companies use Amor to build robust pipelines of pre-vetted engineering talent. By sourcing based on verifiable GitHub activity, they reduce time-to-hire while ensuring a high technical bar, accessing candidates who may not be reachable through traditional channels like LinkedIn.

Executive Search and Recruiting Agencies

Recruiting agencies leverage Amor to gain a competitive edge by accessing an exclusive, untapped pool of top-tier engineering candidates. This GitHub-first approach allows them to identify and place specialized, passive talent faster than competitors relying solely on mainstream professional networks.

Engineering Leadership and Hiring Managers

Engineering managers and VPs of Engineering use Amor to directly source and evaluate candidates based on technical merit and project alignment. The platform's repository insights and contribution summaries provide a quick, accurate read on a developer's skills and interests, empowering managers to make informed hiring decisions.

Diversity Sourcing Initiatives

Organizations focused on building diverse engineering teams utilize Amor to source from broader, underrepresented talent pools. By focusing on objective contribution data rather than network-dependent profiles, the platform helps mitigate unconscious bias in the initial sourcing stage and identifies skilled engineers from varied backgrounds.

Senior Executives Seeking Flexibility

Fractional Quest is ideal for senior executives who desire to maintain a work-life balance while still contributing to strategic leadership. The platform allows them to explore part-time roles that fit their availability and professional goals.

Companies Needing Experienced Talent

Organizations looking to enhance their executive team without committing to full-time hires can leverage Fractional Quest to find skilled C-suite executives. This is particularly beneficial for startups and SMEs that may not require full-time leadership.

Transitioning Professionals

Executives transitioning into retirement or exploring new career paths can find fractional roles that allow them to stay engaged in their fields. This use case enables them to apply their extensive knowledge and experience while exploring different sectors.

Growth-Focused Companies

Companies aiming to scale operations can utilize Fractional Quest to hire seasoned executives who can provide strategic direction on a part-time basis. This approach allows for flexibility in resource allocation as companies grow and evolve.

Amor is a specialized, data-driven sourcing platform engineered to identify and connect with elite software engineering talent through direct analysis of their activity on GitHub. It addresses a fundamental inefficiency in technical recruitment by moving beyond traditional resume and LinkedIn-based searches to evaluate real, verifiable coding contributions and project involvement. The platform processes a massive, continuously updated dataset of over 8 million developer profiles, 66 million repositories, and 145 billion stars to surface engineers based on objective metrics such as commit frequency, consistency, and the quality of repositories they contribute to or star. Its core value proposition is enabling recruiters, engineering managers, and technical sourcers to find highly skilled, actively contributing engineers—including passive candidates who are not actively networking on professional social platforms—with unprecedented speed and precision. By applying advanced filters for specific commit patterns, cleaned location data, programming languages, and repository types, Amor transforms the vast, unstructured public data of GitHub into a structured, actionable sourcing database. This systematic approach saves hiring teams hundreds of hours otherwise spent on manual scripting, profile screening, and guesswork, fundamentally optimizing the top-of-funnel candidate identification process.

Fractional Quest is a specialized job platform designed exclusively for senior executives seeking fractional, interim, and portfolio careers. Unlike conventional job boards that intermingle part-time executive roles with full-time listings, Fractional Quest focuses solely on flexible and part-time executive positions. This platform aggregates live opportunities for C-suite roles, facilitating a seamless connection between experienced executives and companies that require high-level talent without the commitment of full-time employment. With over 200 active fractional roles across various sectors, such as finance, technology, and marketing, Fractional Quest serves as a crucial resource for executives looking to leverage their expertise in a part-time capacity while also offering businesses access to top-tier leadership talent at a fraction of the cost of traditional hires.

How does Amor source candidate contact information?

Amor auto-enriches candidate profiles by programmatically extracting email addresses from commits made to public GitHub repositories, where such information is publicly available in the commit metadata. This provides a direct channel for outreach that is more reliable than guessing email formats.

What makes Amor different from searching GitHub directly or using Boolean searches on LinkedIn?

Amor provides a structured, queryable database with cleaned data and advanced analytics that are impossible with manual GitHub browsing. Unlike LinkedIn Boolean searches, which rely on self-reported profiles, Amor filters are based on objective, behavioral data like commit history, offering a more accurate assessment of active skill and engagement.

Can I use Amor to find engineers for very specific tech stacks or niche skills?

Yes. The platform's advanced filtering allows you to search for engineers based on contributions to repositories written in specific programming languages, frameworks, or technologies. You can identify candidates who have actively contributed to projects relevant to your required tech stack.

How does the integration with Applicant Tracking Systems (ATS) like Ashby work?

Amor features a dedicated export function that formats candidate lists—complete with auto-enriched emails, LinkedIn URLs, and source tags—into a CSV file structured for seamless import into Ashby. This eliminates manual data entry and ensures candidate information flows directly into your recruitment pipeline.

What types of roles are available on Fractional Quest?

Fractional Quest offers a variety of C-suite roles, including fractional CFOs, CTOs, CMOs, and CISOs, each designed for part-time engagement across multiple organizations.

How does the matching process work for employers?

Employers can book a free consultation to discuss their needs and receive matched candidates within 48 hours. The process is designed to be efficient and tailored to the specific requirements of the hiring company.

Are the job listings verified?

Yes, every job listing on Fractional Quest is thoroughly vetted by a specialist team to ensure that candidates are presented with legitimate opportunities from reputable companies.

What is the fee structure for hiring through Fractional Quest?

The placement fees for hiring fractional executives range from 10% to 15%, which is significantly lower than traditional executive search firms that may charge 25% to 30% for full-time hires.

Amor is a specialized technical sourcing platform within the HR and recruiting technology category. It leverages advanced data analytics to identify top-tier software engineers by parsing their verifiable GitHub activity, moving beyond traditional resume-based searches to assess real coding contributions and project involvement. Users may seek alternatives to Amor for various strategic reasons. These can include budget constraints, as specialized data platforms often command premium pricing. Others may require a different feature mix, such as integration with applicant tracking systems beyond GitHub data, or a platform that sources from a broader range of professional networks like LinkedIn or Stack Overflow alongside code repositories. When evaluating an alternative, key considerations should include the depth and reliability of its data sourcing methodology, the granularity of its search and filtering capabilities, and its approach to data normalization—particularly for noisy fields like location. The platform's ability to deliver actionable, high-signal candidate leads that save manual sourcing time is the ultimate metric of value.

Fractional Quest is a specialized job platform tailored for senior executives seeking fractional, interim, and portfolio career opportunities. This platform distinguishes itself by exclusively aggregating live listings for part-time executive roles, ensuring that users can easily navigate and find relevant opportunities without sifting through unrelated full-time positions. By focusing solely on flexible executive work, Fractional Quest caters to a niche market that values adaptability and high-level expertise. Users often search for alternatives to Fractional Quest due to various reasons, including pricing structures, specific feature sets, or unique platform requirements that may not be fully addressed by Fractional Quest. When considering alternatives, it is essential to evaluate factors such as the variety of job listings, the user interface, the quality of support provided, and the overall cost-effectiveness of the platform. Understanding these elements can help users make informed decisions that align with their career aspirations and personal preferences.