What it sells
Helping humans and AI agents understand massive codebases
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering leadership or platform/security teams at companies with large multi-repo codebases (named users: Red Hat security engineer, Oegema Logistics IT lead).
Trigger: what makes them buy now?
UnverifiedAdopting coding agents that only see local repos creates need for company-wide code context; also replacing costly Sourcegraph.
Workflow: what inputs become what output?
Index all repos across GitHub/GitLab/Bitbucket etc.; engineers, PMs and support search code or ask Sourcebot questions across repos and tools (Jira, Confluence); coding agents query it via MCP for cross-repo context.
Economics: what it saves and how it charges
Self-hosted software with per-seat subscription; open Basic tier drives adoption, Pro and Enterprise monetize permission syncing, audit and support. Positions at less than half the price of Sourcegraph.
Distribution: how it reaches customers
Self-serve install (npx setup-sourcebot, single Docker container) plus book-a-demo and Enterprise sales calls.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2025 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.