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An Overview of SeekOut's Filters

An overview of all the available filters for public profiles, and how filters operate across multiple categories

How do filters work together?

Values within the same filter are combined with OR (for example, two companies in the Company filter return people at either company). Different filters are combined with AND (for example, a Company and a Location filter return people who match both).

filters or implied 1
filters and implied 2

List of Public Profile filters

Standard filters

Notes

Power Filters

SeekOut's Power Filters let you perform complex queries with one click. See Power Filters.

Experience

Filter candidates by Company, Title, and Years of Experience. See Experience and Education Filters.

Education

Filter candidates by School, Degree, and/or major. See Experience and Education Filters.

Speciality filters

Notes

Likely Open to New Roles

Show candidates who are more likely to switch jobs in the next 12 months. Only available to Enterprise level plans.

Location filters

Notes

Location

Filter by city or by a metropolitan area. Use the dropdown menu to search within 0 - 500 miles of the location. The radius is measured as a straight-line distance (a circle) from the selected center point. Setting the radius to 0 targets only the selected city.

For more detailed guidance on using location-based search filters, including radius-based targeting, factors affecting search results, and practical tips, see Location-Based Candidate Search in SeekOut.


List of GitHub-exclusive filters

GitHub search uses many of the filters listed above, but there are also some GitHub-specific filters available that are listed below.

Speciality filters

Notes

Coder Score

SeekOut Coder Score is a rating of the candidate's overall coding ability based on open source code. See What is Coder Score and how is it calculated?

Language Expertise

Filter by demonstrated expertise with a specific coding language. After selecting a language you can filter further by their coder score for that language (1 - 5 stars).

Topics

Development topics the candidate knows.

Role filters

Notes

Current Company

Filter by current employer.

Current Title

Find by current title.

Past Company

Find candidates based on any of the companies previously worked.

Past Title

Find by previous title.

Repository filters

Notes

Top Repositories

The repositories (GitHub projects) where the candidate has contributed the most code.

Followers

The number of GitHub followers the candidate has. Select a range between 0 and 200+.

Following

Number of other GitHub users the candidate follows. Select a range between 0 and 200+.

Number of Repositories

How many repositories (GitHub projects) the candidate has contributed to.

Stars

Number of stars given to this candidate by other GitHub users.

Education filters

Notes

School

Filter by schools attended.

Degree

Filter by education degree awarded.

Major

Filter by major field of study.

Company filters

Notes

Organization

Associated organizations (often a company or school) the candidate has listed on their profile.

Miscellaneous filters

Notes

Profile Type

Filter by information SeekOut has about the candidate. Determine if you want to see matched or unmatched GitHub profiles. A matched profile means the candidate has a GitHub and a LinkedIn profile.

Has Email

Filter by whether SeekOut has an email for this candidate. Toggle this filter ON to only show candidates who have an email address available.


List of Expert-exclusive filters

Expert search uses many of the public profile filters listed above, but there are also some Expert-specific filters available that are listed below.

Affiliation filters

Notes

Affiliation

A group or university that the candidate is commonly affiliated with.

Speciality filters

Notes

Author Score

Filter based on how influential the candidate's work is.

h-index

A measure of how highly cited the candidate is.

i10-index

A measure of how highly cited the candidate is.

Category filters

Notes

Category

Category of areas the candidate has published work about.

Sub Category

Sub-category of areas the candidate has published work about.

Tags

Topics the candidate has published work about.

Papers/Patents filters

Notes

Document Type

Filter by type of publication (journal, conference paper, patent, etc.).

Papers

Filter by number of papers the candidate has published.

Journal

Find candidate by the journal where they were published.

Publisher

Filter by publication which released the candidate's work.

Prominence

Filter by number of publications where candidate is first or last listed author.

Conference filters

Notes

Conference

Filter by the conference where the candidate has presented work.

Conference Instance

Filter by specific year of conference.

Citations filters

Notes

Citations

The number of times this candidate's work is cited by others.

Miscellaneous filters

Notes

Has Public Profile

Filter by whether the candidate also has a LinkedIn profile.

Early in Career

Experts who recently completed their graduate studies. Yes/No

Student

Experts who are still in school. Yes/No

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