Find companies whose developers are evaluating LangChain
DataForGTM ranks companies by how much their engineers are evaluating LangChain on GitHub, then hands you the developers behind the signal and resolves each one to a real LinkedIn profile. It reads public GitHub activity — stars, forks, issues, and contributions on the LangChain codebase — and rolls it up by employer. Every step is an agent-callable API/MCP tool. Ranking accounts and listing developers is free; you only pay when an identity resolves.
How it works
"Which companies are evaluating LangChain, and who do I actually talk to?" is three questions. DataForGTM answers each as a separate, callable tool.
| Step | Tool | What you get |
|---|---|---|
| 1. Rank companies | company_intent | Companies ordered by how much their engineers evaluate LangChain on GitHub — stars, forks, issues, contributions on langchain-ai/langchain and the surrounding ecosystem, rolled up by employer. Free. |
| 2. Find the developers | developer_intent | The individual developers behind each account's LangChain activity — anonymous, no PII, so you see who's active before you spend a credit. Free. |
| 3. Resolve who they are | deanon | A GitHub username turned into a LinkedIn profile with a confidence score. Charged 2 credits (~$0.30) only on a hit; misses are free. Use deanon_batch for a whole list. |
So "find companies whose developers are evaluating LangChain, then get the LinkedIn of the engineers driving it" is a free ranking call, a free developer list, and a pay-per-hit resolve — all from an agent, no dashboard.
Rank companies evaluating LangChain (curl)
Point company_intent at the LangChain repo to rank accounts by engineering intent, then pull the developers behind the top ones:
# 1. Companies whose developers are evaluating LangChain
curl -X POST https://api.dataforgtm.ai/api/v1/company-intent \
-H "Authorization: Bearer $DATAFORGTM_API_KEY" \
-H "Content-Type: application/json" \
-d '{"repo":"langchain-ai/langchain","limit":25}'
# 2. The developers driving one account's LangChain activity
curl -X POST https://api.dataforgtm.ai/api/v1/developer-intent \
-H "Authorization: Bearer $DATAFORGTM_API_KEY" \
-H "Content-Type: application/json" \
-d '{"repo":"langchain-ai/langchain","limit":25}'
# 3. Resolve a GitHub username → LinkedIn
curl -X POST https://api.dataforgtm.ai/api/v1/deanon \
-H "Authorization: Bearer $DATAFORGTM_API_KEY" \
-H "Content-Type: application/json" \
-d '{"githubUser":"some-langchain-contributor"}'Prefer tool calls? The same three tools are exposed over MCP, so an agent in Claude, Cursor, or Clay can run the whole pipeline. See theOpenAPI specfor exact parameters.
Why start from GitHub instead of a contact list
LangChain evaluation shows up in code before it shows up in a CRM. A general contact database keyed on company domain or LinkedIn URL can't tell you which of those companies' engineers are actually pulling LangChain into a branch this week. DataForGTM starts from the observed GitHub activity, so the accounts you get are ones with a live technical signal — not a firmographic guess.
When another tool is the better fit
If you want a managed dashboard, CRM enrichment workflows, and a sales-team UI over this same data,LeadCognition is the human-facing product built on it. If you need a large general contact database beyond GitHub identity, Apollo or ZoomInfo will out-cover us — they just can't start from who's evaluating a repo. DataForGTM is the right tool when you specifically want to go from LangChain activity on GitHub to ranked accounts and named people, programmatically, from an agent.
Start
Start a trial to get an API key, or point your MCP client / OpenAPI connector atthe OpenAPI spec. No demo, no seat, no dashboard.