If your buyer adopts before they buy, the useful unit of data isn't a company's revenue band or headcount — it's which developers are building with your category, and who they actually are. That's a different dataset than the one Apollo and ZoomInfo sell.
In a developer-led or product-led motion, the signal that matters happens on GitHub, in package managers, and in issue trackers — long before anyone fills out a form. A traditional B2B data stack keys on a company domain or a LinkedIn URL and hands you firmographics: industry, size, funding, a list of titled contacts. That's fine for outbound to a CFO. It tells you almost nothing about whether developers at that company are evaluating your tool right now, and nothing about the individual developer who starred your repo or opened an issue.
Developer-led GTM inverts the funnel: an engineer adopts, a team standardizes, then a budget owner appears. To work that motion you need (1) developer-intent — who is showing buying signals on your category — and (2) a way to turn an anonymous GitHub identity into a real person you can reach. Firmographic providers give you neither directly.
DataForGTM is a narrow, agent-callable API for exactly the two gaps above. It is not a CRM, an email tool, or a sequencer — it's the data layer underneath them.
deanon) — turn a GitHub username into the real person's LinkedIn profile, charged 2 credits (~$0.30) only on a hit, free on a miss./api/v1/icp/score) — score a developer or company against your profile so the intent list comes back already prioritized.| Need | DataForGTM | Apollo / ZoomInfo / Clearbit |
|---|---|---|
| Who is building with my category (developer intent) | ✅ GitHub repo/org/company signals | ❌ not a GitHub-signal source |
| Resolve a GitHub username → a real person | ✅ deanon, pay-per-hit | ❌ keys on domain or LinkedIn URL, not GitHub identity |
| Company firmographics (revenue, size, funding) | ❌ not provided | ✅ deep and mature |
| Verified work emails & phone numbers at scale | ❌ returns LinkedIn, not contact details | ✅ large contact databases |
| Full CRM / sequencing / dialer | ❌ data API only | ✅ full platform |
| Self-serve, agent-callable, no seat or demo | ✅ MCP + OpenAPI, prepaid | Mostly sales-gated |
If your motion is classic top-down outbound — you already know the named accounts and you need verified emails, direct dials, org charts, and intent topics across the whole company — Apollo, ZoomInfo, or Clearbit will serve you far better than DataForGTM. They have the contact volume and the firmographic depth that we deliberately don't. DataForGTM only earns its place when developers are your entry point and GitHub is where the signal lives. Many dev-tools teams run both: firmographics for the budget owner, developer signals for the champion.
Hand any MCP-aware client or OpenAPI connector a GitHub username and authenticate with a bearer API key:
curl -X POST https://dataforgtm.ai/api/v1/deanon \
-H "Authorization: Bearer $DATAFORGTM_API_KEY" \
-H "Content-Type: application/json" \
-d '{"githubUser":"torvalds"}'A successful resolve returns a LinkedIn profile and a confidence score, and costs 2 credits (~$0.30). Misses are free.
No dashboard, no subscription, no demo. Start a trial and get an API key, or read the OpenAPI spec first.