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OpenGTM
What it is
OpenGTM is a free, open-source, self-hosted workspace for go-to-market teams and their agents. It can source companies and people, enrich records through cost-ordered provider waterfalls, research questions with cited agents, track buying intent, and send qualified records to other tools. Workbooks support lead imports, formulas, HTTP columns, enrichment waterfalls, AI research, and output columns, with estimated spend shown before a run. Live audiences can segment records, monitor hiring and buying signals, and trigger scheduled refreshes and automations. Integrations listed include HubSpot, Salesforce, Slack, Sheets, Airtable, Instantly, Smartlead, webhooks, warehouses, and consent-gated ad audiences. Teams and agents can access the workspace through REST, webhooks, and an auditable MCP server with scoped read and write access. Data stays on the user's infrastructure, and third-party calls use provider keys selected by the user. It requires Git, Docker with Compose v2, and roughly 4 GB of available RAM. The project describes itself as pre-1.0; third-party provider costs may apply.
For and against
For
- Free, open-source, and self-hosted.
- Shows estimated spend before workbook runs.
- Supports a broad set of activation destinations.
- Data remains on the user's infrastructure.
- Offers REST, webhook, and MCP access.
Against
- Setup requires Git and Docker Compose v2.
- Installation needs roughly 4 GB of available RAM.
- Third-party provider costs may apply.
- Project is described as pre-1.0.
The verdict
OpenGTM brings lead workflows, research, and activation into a self-hosted workspace with spend controls. Its setup requirements and pre-1.0 status are important considerations for teams evaluating deployment.
Who it suits
OpenGTM suits teams that want to manage lead sourcing, enrichment, research, and outbound workflows on their own infrastructure. It is aimed at users comfortable installing and maintaining a Docker-based workspace.
Plans and prices
OpenGTM self-hosted
self-hosted deployment · user supplies infrastructure and provider costs · AGPL-3.0
Read 15 Oct 2026 · skillget.dev
OpenGTM (self-hosted)
Open-source AGPL-3.0 · run on your own infrastructure · third-party provider costs may apply
Read 3 Oct 2026 · github.com
On the record
- Agent access
- The same workspace is accessible through REST, webhooks, and an auditable MCP server with scoped read and write capabilities.github.com · read 3 Oct 2026
- AI research
- Research and agent columns fetch cited sources and keep source URLs alongside generated answers.opengtm.palash.dev · read 15 Oct 2026
- AI tools
- The MCP guide says the server supports Claude, Codex, OpenCode, Pi, Cursor, Windsurf, and other stdio MCP clients.opengtm.palash.dev · read 3 Oct 2026
- API
- A generated REST reference exposes endpoints for leads, workbooks, audiences, automations, CRM, outreach, signals, governance, and other operations.opengtm.palash.dev · read 15 Oct 2026
- Buying signals
- The system can watch hiring and buying signals and trigger scheduled refreshes and automations.github.com · read 15 Oct 2026
- Chrome extension
- The 3.0.0 release lists a Chrome capture extension among the shipped components.github.com · read 15 Oct 2026
- Company activity
- Crunchbase says the company develops go-to-market data infrastructure, software, and research for AI agents and revenue teams.crunchbase.com · read 15 Oct 2026
- Company listing
- Crunchbase describes OpenGTM as a private, active, for-profit company headquartered in San Francisco, California.crunchbase.com · read 15 Oct 2026
- Data control
- The project says data stays on the user's infrastructure and third-party calls use provider keys chosen by the user.github.com · read 3 Oct 2026
- Documentation
- The documentation site includes getting-started guides, concepts, provider and LLM guides, integrations, self-hosting, architecture, CLI material, and a generated REST reference.opengtm.palash.dev · read 15 Oct 2026
- Enrichment waterfalls
- Provider waterfalls run enrichment attempts in cost-aware order and show estimated spend before execution.opengtm.palash.dev · read 15 Oct 2026
- Installation
- Docker Compose v2, Git, about 4 GB of RAM, and roughly two CPUs are documented for a comfortable single-node installation.opengtm.palash.dev · read 15 Oct 2026
- Integrations
- Documented destinations include HubSpot, Salesforce, Slack, Google Sheets, Airtable, Instantly, Smartlead, webhooks, warehouses, and consent-gated ad audiences.github.com · read 15 Oct 2026
- Intended users
- The README describes OpenGTM as an open-source, self-hosted alternative to Clay.com for lead sourcing, enrichment, AI research, buying signals, and outbound automation.github.com · read 3 Oct 2026
- Launch news
- A LinkedIn launch post dated about ten months before the October 15, 2026 research date presented OpenGTM as an AI and GTM research lab focused on open data models and standards.linkedin.com · read 15 Oct 2026
- Lead sourcing
- The product can search for companies and people using industry, geography, and keyword criteria.opengtm.palash.dev · read 15 Oct 2026
- Lead workflow
- It sources companies and people, enriches rows through cost-ordered provider waterfalls, researches questions with cited agents, tracks buying intent, and sends qualified records to other tools.github.com · read 3 Oct 2026
- License
- The software is released under the GNU Affero General Public License version 3.0.github.com · read 15 Oct 2026
