Methodology

How StarHunt finds the
engineers others miss.

StarHunt reads a role description, extracts the technologies and the location, then ranks engineers from StarHunt's index of public GitHub profiles. The ranking uses what someone built rather than what they wrote about themselves: contributions over twelve months, the languages of their own repositories, their contributions to reference open-source projects, and how recently they pushed. As of September 2026.

Most sourcing tools search profiles and hope for the best. StarHunt starts from the repositories that define each technology ecosystem, then works backwards to the people building them.

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The problem

Why GitHub search isn't enough

GitHub's built-in search finds users by keywords in their bio or profile. A developer who contributes to a major open-source project every week but writes "software engineer" in their bio is invisible to a keyword search for that technology.

LinkedIn has the same problem, it surfaces people who claim to know a technology, not people who actually build with it.

StarHunt's answer: start from the repositories, not the profiles. If a developer is in the top contributors of a canonical open-source project, they know the technology. That is a stronger signal than anything in their bio.
The pipeline

Five steps from repositories to ranked candidates

1

Repository discovery

For each technology StarHunt covers, a curated list of reference repositories has been hand-picked. These are the projects that define the ecosystem, not the most starred repos, but the ones where active practitioners contribute. Each technology maps to dozens of canonical repositories spanning frameworks, libraries, tooling, and infrastructure.

2

Contributor extraction

StarHunt fetches the contributors of each reference repository via the GitHub API. Contributors are people who have merged commits, not stargazers, not followers, not people who opened an issue once. This pool is then merged with results from targeted GitHub Search queries using location:, language:, and topic: filters.

3

Profile enrichment

Each candidate's full GitHub profile is fetched: name, bio, location, company, follower count, public repository count, email, and website. No private data is ever accessed, everything comes from GitHub's public API.

4

Location filtering

Every profile's location is normalized to a metropolitan area, so a developer in a suburb still shows up for the nearest hub: Massy and Versailles map to Paris, Palo Alto to San Francisco. A city search then returns that metro area only, while a country search returns the whole country and a continent search the whole continent. Matching runs on the normalized location, not on keywords scattered in a bio.

5

Relevance ranking

Every matching profile is ranked by how well it fits your search: the technologies and role you're looking for, the location, and any extra keywords in the profile. The most relevant profiles surface first, with variety in the results so you don't see the same handful of names on every search.

The search

From a job description to a shortlist

You don't need to fill in a complex form. Paste a full job description, or just describe who you're looking for in a sentence, and StarHunt reads it to build the search for you: the technologies, the kind of profile, and the location. You can go from a job brief to a shortlist worth contacting in under 30 seconds.

Under the hood, StarHunt maps what you describe to the technologies and roles it indexes, then searches its pre-built index of GitHub contributors rather than crawling GitHub live. That is why results come back in seconds instead of minutes.

Describe the role in plain language. StarHunt handles the translation into a precise search across technologies, role and location, so you focus on who you want to hire, not on how to query a database.
Ranking

Ranked by what they have shipped, not by keyword count

Matching your criteria only decides who is eligible. The order is set by evidence of real work: contributions merged over the last twelve months, the languages in a developer's own repositories, how widely their own projects are used, how recently they shipped, and whether they contribute to a reference project of the ecosystem. Location and role narrow the field; none of it rewards followers or a well-written bio.

That is the difference between a list of people who match a query and a list of people worth contacting.

Rather than always returning the exact same top names, StarHunt draws the most relevant profiles with a degree of variety, so repeated searches surface fresh candidates instead of the same short list every time. You can also load more results to go deeper into the matching pool.

Coverage

Technologies covered

StarHunt covers 40+ technologies across frontend, backend, infrastructure, data and AI. Each one maps to a curated set of reference repositories that define the ecosystem, maintained and updated regularly.

Languages and runtimes

PythonNode.jsTypeScriptJavaGoRustRubyC++.NETPHPSwiftKotlinScala

Frontend and mobile

ReactVueAngularFlutterReact Native

Data and infrastructure

KubernetesTerraformPostgreSQLMongoDBRedisGraphQLAWSGCPAzureOVHScaleway

AI and machine learning

PyTorchTensorFlowJAXHugging FaceLLMRAGAgentsInferenceComputer visionNLPReinforcement learningGenerative media
The repository lists are what separate StarHunt from a generic GitHub search. A standard search returns whoever has a technology name in their bio. StarHunt finds people who have actually contributed to the canonical projects that define that ecosystem.
Privacy

Only public data, always

StarHunt exclusively uses GitHub's public API. Every piece of information shown in results, name, bio, location, email, follower count, repository count, is already publicly visible on github.com. No private repositories, no private activity, no emails that people haven't chosen to display.

If you want your profile removed from StarHunt's index, you can do it yourself in one click at app.getstarhunt.com/remove: sign in with GitHub, or prove ownership with a public gist, no login and no email needed. Removal is permanent, our crawler will not re-index you.

FAQ

The methodology, answered

How does StarHunt find developers that GitHub search misses?

GitHub search matches keywords in a bio. A developer who ships to a major open-source project every week but writes "software engineer" in their bio is invisible to it. StarHunt starts from the reference repositories that define each ecosystem, pulls their real contributors, and ranks by activity rather than by how someone describes themselves.

What signals does StarHunt use to rank developers?

Contributions merged over the last twelve months, the languages in a developer's own repositories, how widely their own projects are used, how recently they shipped, and whether they contribute to a reference project of the ecosystem. Follower count is not a ranking signal.

How many technologies does StarHunt cover?

More than 40, across frontend, backend, infrastructure, data and AI, each mapped to a curated set of reference repositories that define the ecosystem.

Does StarHunt use private GitHub data?

No. StarHunt uses GitHub's public API exclusively. Every field shown is already publicly visible on github.com, and the email displayed is the one a person chose to put on their public profile.

How is a developer's location determined?

The free-text GitHub location field is normalized to a metro area, a country and a continent. Suburbs fold into their nearest hub, so a developer in Massy appears for Paris and one in Palo Alto for San Francisco. Matching never runs on keywords scattered in a bio.

Can a developer be removed from the index?

Yes, in one click at app.getstarhunt.com/remove, by signing in with GitHub or proving ownership with a public gist. No login and no email are required, removal is permanent, and the crawler will not re-index that profile.

Read next

Go further

GitHub sourcing, how to find developers by what they build, and a comparison of the best GitHub sourcing tools in 2026.

See it in action

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