A clearer way to compare job boards
JobSiteDir is not just a list of job board links. It is a comparison layer that helps employers, recruiters, and hiring teams judge where a platform fits, what signals support that view, and how confident they should be in the public profile.
Comparison First
Each profile is built to help you compare fit, scope, and hiring use case instead of just giving you another outbound link.
Signal-Based Profiles
We use public site signals, listing behavior, taxonomy review, and market context to build profiles that are easier to trust and easier to compare.
Stable Updates
New weak data should not erase stronger existing facts. We update cautiously so profiles stay useful when sites change or break temporarily.
What JobSiteDir is
JobSiteDir is a research tool for people choosing hiring channels. Instead of browsing flat pages of links, you can use profiles and category pages to understand how a platform behaves in practice, who it seems to serve, and where it may fit in your hiring mix.
The goal is simple: help you narrow the list faster, compare specialist boards with broader platforms, and make better shortlisting decisions before you spend time, outreach effort, or budget.
How we build the index
We combine public platform checks, traffic estimates, listing signals, category review, and direct corrections to keep the index useful. We do not treat every new crawl as equal. Some evidence is strong, some is weak, and the page should reflect that difference.
- Traffic and visibility signals help show how established a platform appears.
- Region, industry, audience, and type labels are reviewed to keep comparison consistent across many different sites.
- Job count summaries stay cautious when public evidence is partial, unstable, or hard to verify.
- Stronger existing facts are protected from weak runs such as blank pages, access issues, or shallow snapshots.
Why some labels may look different
JobSiteDir does not simply repeat how a site describes itself. We try to classify platforms using observable signals from the public site. That means some labels may look stricter, broader, or more cautious than common market shorthand.
For example, a platform can market itself as niche while its listings look broad in practice, or it can be associated with one market while current signals point more strongly to another. We prefer a supportable label over a flattering one.
How our data stays useful
We want the public page to stay simple, but we also want the underlying profile to stay stable when site quality or crawl conditions fluctuate.
Useful truth over fresh noise
We do not blindly replace old facts with the latest crawl. New data has to be good enough to improve the profile.
Cautious counts over fake precision
When public listings do not support a clean exact number, we show a simpler summary instead of pretending certainty.
Signals over self-description
Site claims matter, but public evidence still has to support the final profile if the page is going to stay trustworthy.
Simple pages, deeper review
Users see clear summaries, while the internal decision process can use multiple checks to avoid shallow or misleading updates.