For developers building agent and background-job infrastructure, Hatchet is an orchestration platform that runs and coordinates background tasks and AI agents at scale for growing engineering teams.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Hatchet positions itself as infrastructure for engineering teams running background jobs and AI agents at scale. Recent releases track a build-out of the operational layer a production queue needs: self-serve observability and audit logging on the cloud tier, tenant-scoped metrics, no-auth local development, and throughput tooling like request batching, each arriving in quick succession rather than as one release. Public conversation about Hatchet is early, a quieter footprint so far, consistent with a developer tool still building its audience beyond the teams already running it in production.
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Business Profile
Hatchet was founded in 2023 by Alexander Belanger and Gabriel Ruttner, who previously co-founded ClearMix, and went through Y Combinator's W24 batch. The company runs a five-person team building an MIT-licensed, open-source orchestration engine that customers can self-host or run on Hatchet Cloud, its managed offering, and reported $440K in annual recurring revenue as of September 2025. Recent releases have pushed toward larger organizations, including self-serve Prometheus metrics, an audit-logs API, and tenant-scoped tooling on Hatchet Cloud, while the company reports hundreds of millions of tasks running daily across its user base.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Hatchet ships SDKs in TypeScript, Python, and Go alongside a CLI and public API, giving developers a code-first way to run AI agents and background tasks as durable, retry-safe workflows. Published cookbooks walk through building agent use cases directly, including a support agent, automated email handling, and a document-processing pipeline, on top of the same orchestration primitives used for general task queues. No MCP server is documented yet.
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