LinkedIn indexes what people say they do; GitHub indexes what they built. For an engineering search that difference sets the floor on quality: the worst result in a LinkedIn list is someone whose headline contains the right word, the worst result in a GitHub-based list is someone who shipped code in that ecosystem. LinkedIn wins decisively on coverage, since most engineers have a profile and almost none have public code in every domain, and on the InMail channel, which reaches people who publish no address anywhere. It also costs a four-figure annual seat against tens of euros a month for a GitHub-first tool. Most teams that hire engineers continuously end up running both, and use GitHub-first search for the shortlist and LinkedIn for reach.
Two indexes, two raw materials
A profile index is assembled from self-description. It is optimised for recall, and it is honest about that: ask for Rust and it returns everyone whose profile contains the word, which includes people who read a tutorial, people who list it as an interest, people who wrote Rust in 2019, and recruiters who mention Rust in their own headline.
A repository index is assembled from artefacts. It cannot tell you about work behind an NDA, but the things it does tell you are not claims: this person merged code into this project, in this language, this recently. You trade coverage for a much higher floor.
The seniority problem, and where each tool breaks
Job titles inflate at different rates by company and by country, which makes "Senior" a weak filter on a profile index. The usual workaround, filtering on years of experience, punishes exactly the people worth finding: someone four years in who has been maintaining a widely used library is not junior in any sense that matters.
Repository signals fail differently, and it is worth knowing how. They under-rate people who work entirely in private repositories, which is most of enterprise engineering, and they over-rate people with time to publish. Neither index is a measure of ability. One is a measure of what someone claims, the other of what someone published.
The channel question, which is usually the real constraint
Finding the person is only half the job. LinkedIn's InMail reaches anyone with a profile, whether or not they publish an address; that is genuinely something no GitHub-based tool can replicate, and it is the strongest argument for the seat price.
What is less well known is how much is reachable without it. Across 275,000+ public GitHub profiles, 37% publish an email address or a LinkedIn profile that anyone can use. Narrow to developers who pushed code in the last ninety days and whose location is known, the population a recruiter can actually work with, and it reaches 61%. Reach is a smaller problem than the seat price implies, but it is not zero.
Cost, compared honestly
LinkedIn Recruiter is sold per seat on an annual contract, in the four figures per seat per year, with InMail credits that reset monthly. It is priced for a recruiting function, and for a team hiring across every job family it is usually defensible.
A GitHub-first tool is priced for a use case, tens of euros per month. The honest comparison is not one against the other, it is the marginal cost of adding one against the hours a sourcer spends opening plausible profiles to find out they are not. That review time, not the subscription, is where the money actually goes.
Where this answer does not hold
LinkedIn Recruiter is the better answer, on its own, in several common cases: hiring outside engineering, hiring in domains where the work is never public (embedded under NDA, defence, quantitative finance, most enterprise back office), hiring senior leadership, and any search where InMail is the only channel that gets a reply. A GitHub-first tool has nothing useful to say about a finance or sales req.
Frequently asked questions
Is GitHub sourcing a replacement for LinkedIn Recruiter?
Not as a whole. It replaces the engineering-search part of it, and it does that better because it ranks on shipped code rather than self-description. It does not replace the coverage of non-engineering roles or the InMail channel.
What percentage of engineers can I actually reach from GitHub?
Across 275,000+ public profiles, 37% publish an email or a LinkedIn profile. Among developers who are still active and whose location is known, it is 61%. Tools that report email only understate this, because 55% more people publish a LinkedIn profile and no email.
Do senior engineers even have public GitHub activity?
Many do, but plenty do not, and that is the honest limit of the approach. Public activity is correlated with open-source involvement and with having time, not with seniority. A repository index finds a specific kind of strong engineer very well and is blind to others.
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