Try the free tool Get verified matches — Start free
90%+ precision · 2 credits per match · charged only on success · no credit card to start
The core problem: GitHub and LinkedIn are separate identity graphs
When a developer stars your repo, forks your library, or contributes to a project in your category — you have a GitHub username. That’s it.
No email. No company. No LinkedIn. Just a handle.
LinkedIn is where professional identity lives: current title, current employer, decision-making context. But GitHub and LinkedIn don’t share data. There’s no public API that connects them.
Manual approaches work roughly 30% of the time, on easy cases. The other 70% — common names, sparse bios, developers who’ve never linked their profiles — fall through.
LeadCognition resolves them.
Multi-stage identity validation — not a naive name match
Most tools find a LinkedIn profile that fits the name. LeadCognition confirms it’s the same human.
The pipeline runs three stages:
Stage 1: Signal extraction Extract all available public signals from the GitHub profile — username patterns, bio, company mentions, location, language stack, contribution history, linked URLs.
Stage 2: Candidate resolution Cross-reference against enrichment databases to surface LinkedIn profile candidates matching the extracted signals.
Stage 3: Identity confirmation Validate the candidate against career trajectory, professional context, and industry signals. Same-name collisions — a developer named “Alex Johnson” matched to a lawyer named “Alex Johnson” — are eliminated at this stage before any match is returned.
If confidence falls below threshold: no match returned. You are not charged.
Precision vs recall: we optimize for precision
90%+ precision means when we return a match, we’re right more than 90% of the time.
We deliberately sacrifice recall (finding every possible match) in favor of precision (only returning matches we’re confident in). For developer outreach, a wrong LinkedIn match is worse than no match — it wastes your SDR’s time and risks reputation.
Same-name collision engineering is what separates LeadCognition from naive enrichment APIs that return the first LinkedIn profile that matches a name.
Pricing: 2 credits per verified LinkedIn match
| What you get | Credits |
|---|---|
| LinkedIn profile URL + current title + employer | 2 credits |
| LinkedIn + verified work email | 3 credits |
| No match returned | 0 credits charged |
Free tier includes 50 credits (25 LinkedIn matches). No credit card required to start.
LeadCognition Pricing → Start Free →
Who uses GitHub to LinkedIn resolution
DevTool SDRs — Convert GitHub stargazers and forkers into outbound prospects with verified contacts.
Growth engineers — Run automated enrichment pipelines: GitHub signal in → LinkedIn + email out → CRM push.
Founders doing outbound — Identify who’s evaluating your category on GitHub and reach them directly.
Developer relations — Find the professional identity behind contributors to build real relationships.
How to get started
- Sign up free — 50 trial credits, no card required
- Use the API:
POST /api/v1/deanonwith{"githubUsername": "torvalds"} - Or try single lookups with the free tool below
For bulk workflows, the batch endpoint resolves up to 500 usernames per request. See the API docs for details.
Try the free tool → API docs →
Frequently Asked Questions
Does this work for developers without a public GitHub email?
Yes. The vast majority of developers (85%+) have no public email on GitHub. Our identity resolution pipeline doesn’t need it — it cross-references other signals to identify the LinkedIn profile.
How long does resolution take?
Real-time API response in under 3 seconds for single lookups. Batch requests of 50–500 run async and return via webhook or polling.
What if I already have the developer’s email?
Work email enrichment works from email → LinkedIn too. Or use the GitHub username directly if you have it from signal monitoring. See the GitHub profile enrichment page for details.
Is this the same as Proxycurl or Clearbit?
Proxycurl and Clearbit enrich from LinkedIn URLs or known emails. LeadCognition resolves from GitHub signals — which means you can start from a username alone, before you have any contact info. See the Clearbit alternative and Proxycurl alternative pages for full comparisons.