Read the public profile
Enter a username. The tool pulls what GitHub exposes publicly — name, company, location, bio, and linked accounts.
Free Developer Tool
GitHub to LinkedIn Finder
Enter any GitHub username — see their public profile, then resolve their LinkedIn identity with LeadCognition.
How it works
You have a GitHub handle. What you need is the person: where they work, what they do there, and a way to reach them. This is the step in between.
Look for a self-linked profile
Some developers link their LinkedIn from their GitHub profile or README. When they do, that is the highest-trust match there is, because they put it there.
Resolve the rest
Most do not. Resolving those needs signals outside GitHub, which is where LeadCognition enrichment takes over — 2 credits, charged only on a match.
What you get back
The public profile
Name, company, location, bio, follower count and any social accounts the developer linked themselves. No signup, straight from GitHub's public API.
A verified LinkedIn identity
Multi-stage validation that checks career trajectory and industry context, so a developer is not confused with a lawyer who shares their name.
A miss
Below the confidence threshold nothing is returned and nothing is charged. A wrong LinkedIn is worse than no LinkedIn.
Frequently asked questions
Why can the free lookup not find the LinkedIn itself?
Because it reads GitHub only. Unless the developer linked their LinkedIn from their profile or README, the connection does not exist in GitHub's data and has to be resolved against sources outside it.
What happens when two people share a name?
That is the failure mode the resolver is built around. Candidates are validated against career trajectory and industry context before a match is returned, and anything below the confidence threshold is discarded rather than guessed at.
How GitHub to LinkedIn Resolution Works
Finding a GitHub user’s LinkedIn profile is the core challenge of developer-led sales. GitHub and LinkedIn are separate identity graphs — and most developers never link them publicly.
Step 1: Public Profile Lookup (this tool)
Enter any GitHub username above. You’ll instantly see their public profile: avatar, name, bio, company, location, follower count, and public repos. No sign-up. No credits.
Step 2: LinkedIn Identity Resolution (LeadCognition)
Click “Resolve Identity” to run LeadCognition’s multi-stage validation pipeline. It doesn’t just find a LinkedIn profile that fits — it actively confirms it’s the same human: career trajectory, professional context, industry signals. Same-name collisions are engineered out before a match is returned.
2 credits per LinkedIn match · 3 when you supply a work email as an extra identity signal · charged only on a match · 90%+ precision.
Step 3: Verified Work Email (optional add-on)
Add the work email enrichment step to get their current professional email at their employer — verified against multiple data sources. Included in the 3-credit bundle.
Why GitHub Username → LinkedIn Is Hard Without Tooling
GitHub and LinkedIn use completely separate identity systems. There’s no public API that maps one to the other. Manual approaches:
- Name search on LinkedIn — fails for common names, fails when developers use different display names
- Bio keyword matching — unreliable, most developer bios are sparse
- Google
site:linkedin.com "github.com/username"— works ~30% of the time when the developer has linked their profile publicly - Email-based matching — only possible if the GitHub user has a public email (fewer than 15% do)
LeadCognition works the cases those methods cannot, cross-referencing commit patterns, professional context and employer data instead of relying on the developer having linked the two profiles themselves.
What “90%+ precision” means
When we return a match, we’re right more than 90% of the time. We don’t guess: when confidence falls below the threshold we return no result at all rather than a plausible wrong one — and a miss costs nothing.
Same-name collisions — a developer named “Alex Johnson” matched to a lawyer named “Alex Johnson” — are the core failure mode of naive LinkedIn finders. Multi-stage validation checks career trajectory, employer context and GitHub behavioural signals before a match is returned, because a wrong LinkedIn is worse for you than no LinkedIn.
Charged only on a match means you never pay for a miss, which is also why we can afford to throw away the candidates we can’t confirm.
Compare: Manual vs LeadCognition
| Method | Precision | Scale | Cost |
|---|---|---|---|
| Google search | No way to tell a right match from a wrong one | Very low | Free |
| LinkedIn manual search | Common names silently return the wrong person | Very low | Time |
| Email-based matching | Exact when it works, but only for the ~15% with a public GitHub email | Low | Free |
| LeadCognition | 90%+ on returned matches | High — batch API | 2 credits, on a match only |
Frequently Asked Questions
Can I resolve LinkedIn profiles in bulk?
Yes. POST /api/v1/deanon/batch takes up to 50 handles per request and returns every result inline. Run it repeatedly for larger lists. See the API docs; the free tool above is for single lookups.
What if the developer has no public GitHub email?
That’s the normal case — fewer than 15% of developers expose their email publicly. This tool shows you their public profile regardless. LinkedIn resolution and work email enrichment don’t require a public GitHub email — they use a separate enrichment pipeline.
How is this different from the GitHub Email Finder tool?
The GitHub Email Finder looks for a publicly visible email on the developer’s GitHub profile. This tool resolves the developer’s professional LinkedIn identity and verified work email using enrichment data — it works even when no public email exists.
What data does LeadCognition return per resolved developer?
LinkedIn profile URL · full name · current title · current employer · verified work email (if requested) · confidence score. See the API docs for the full response schema.
Is LinkedIn resolution legal?
Resolution uses publicly available professional context and enrichment databases — not LinkedIn scraping. We comply with GDPR, CCPA, and LinkedIn’s terms. All data is obtained through permissible enrichment pipelines, not unauthorized access.
How many free lookups can I do?
Public GitHub profile lookups (the first step above) use GitHub’s public API — 60 requests/hour per IP. LinkedIn resolution requires a LeadCognition account. Free tier includes 50 trial credits — enough for 25 LinkedIn matches. No credit card required.
Related Free Developer Tools
Developer Signal Score — Calculate an intent score for any GitHub user.
Company Tech Stack Lookup — Explore any GitHub organization’s repos and languages.
GitHub Email Finder — Check public profile email instantly.
GitHub Signal Intelligence Guide · Apollo Alternative · Common Room Alternative · LeadCognition Pricing
Turn any GitHub username into a verified contact.
LeadCognition’s identity resolution pipeline confirms it’s the right human — career trajectory, professional context, and employer signals — before returning a match. 90%+ precision, charged only on a match.
Resolve Developer Identities — Try Free
Free tier · 50 credits · No credit card required
Ready when you are
Start with developers already showing intent.
Create a free workspace, browse public signal, and unlock contacts only when the account is worth pursuing.