Find the companies whose engineers already use your stack.
95M+ developer profiles with real repository activity behind them — languages, topics, contributions — joined to the companies they work at. So the pipeline is built on who writes the code, not who filled in a form.
Teams already building on the graph.
Platforms and businesses shipping their own products on ZipLabs data.
Selling to developers on data that cannot see them.
Every one of these is a gap between what your funnel records and what is actually happening in the code.
A signup is not adoption
Someone typed an email into a form. That tells you a person tried it once. It does not tell you whether anyone at that company has written a line against it since.
Firmographics cannot see a stack
Industry, headcount and funding say nothing about which language a team writes in. You are ranking accounts on facts that do not correlate with whether they need you.
Your open-source users are strangers
Thousands of engineers depend on your project and you cannot name one employer among them. The adoption is real and the pipeline it should feed does not exist.
Pipeline built on commits, not on forms.
Each of these starts from what an engineer actually wrote, and ends at a company you can sell to.
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form fillsrepository activityranked on code written, not emails collected
Accounts ranked on code, not on forms
A signup says one person tried it. Repository activity says how many engineers at that company write in your language today — which is the number that predicts a deal.
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NW Northwind saas · 900 staff 41 rust devs firmographic uses your stackreading repositories… matching to employers… 41 engineers · 12 repos · last commit today
See the stack behind the logo
Industry and headcount describe a company. The languages and topics its engineers commit to describe whether it needs what you sell.
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DK D. Kim contributor staff eng · Meridian resolved318 commits employer identified
Put an employer behind every contributor
The people depending on your open-source project are a pipeline you already earned. Resolving them to the companies they work at is what turns adoption into revenue.
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search: go + kubernetes, 50+searching 95M profiles…VL Vertex Labs 63 engineers · 9 reposMD Meridian 51 engineers · 6 repos+ 412 companies match
A target list described, not assembled
Say the language, the topic and the size of the engineering team you want. The accounts come back with the evidence attached rather than a similarity score.
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MD Meridianmeridian.dev change detected…first rust commits 8 new eng rolesPLRSAN 3 engineering leaders
Catch a stack changing, not a stack settled
The window to win a team is while it is choosing. First commits in a new language, and a hiring plan behind them, is the earliest honest signal that a decision is open.
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rustkafka europe · 200+ staffsizing the market…reachable accounts 1,240 of 18,600✓ a real TAM, counted from commits
A market sized by who writes the code
How many companies actually run the thing you integrate with, and where they are. A board slide built on repository activity rather than on an analyst's estimate.
Start with the question you cannot answer today.
The developer graph is a segment of the person graph, so it joins to companies and decision makers without a second vendor.
People Dataset
Start here for the Developers segment in your own warehouse, joined to companies, on the cadence you agree.
People Search
Start here to query developers live by language, topic and repository activity rather than by job title.
Company Search
Start here to build the account list from what changed — hiring for a function, funding, headcount by department.
Decision Makers
Start here once the account is chosen. Engineering leadership signs the contract the developers asked for.
Public activity, resolved responsibly.
Developer signals come from activity people published deliberately, resolved and validated in our own graph rather than resold from someone else's. That is why a field can be traced to where it came from, and why we can fix one when you tell us it is wrong.
Security & Trust Centre
EU & UK
California
Audited
Developer questions,
answered
Where does the developer signal come from?
Public repository activity — the languages someone writes, the topics they work in, and how active they are — resolved against the same person graph everything else runs on. That resolution is the part that matters: activity on its own is not a sales signal until you know who employs the person behind it.
How is this different from buying a list of engineers?
A list is titles. This is evidence. "Senior engineer at Northwind" is a job description; "writes Rust, forty-one others at the same company do too, last commit today" is a reason to call. And because the developer segment sits inside the wider graph, the company and its decision makers come with it rather than from a second vendor.
Do you cover developers outside GitHub?
The 95M+ developer profiles are built on public code-hosting activity. Engineers whose work is entirely private are in the person graph like anyone else — you can still reach them by role, employer and history — they simply do not carry the activity evidence this page is about.
Can we use this to find contributors to our own project?
Yes, and it is the case open-source companies reach for first. Bring the project and we will resolve the people depending on it to the organisations they work for, which is the whole distance between adoption you can see and a pipeline you can work.
Is this resold from another provider?
No. We resolve and validate our own graph across 18+ data sources and reconcile them into one record, which is why a field can be traced to where it came from and scored for confidence.
See who is writing against it today.
Name your language, your project or your integration, and we will show you the companies and how many of their engineers are already there.