The Problem with Serverless Timeouts
Serverless functions time out after seconds, but AI workflows, data pipelines, and complex automations need to run for minutes or hours. Most developers resort to fragile queue systems or over-provisioned servers just to keep long-running tasks alive. As AI-powered features become table stakes, this fundamental limitation of serverless architecture creates a painful gap between what developers want to build and what their infrastructure allows.
What They're Building
Trigger.dev is an open-source platform for building reliable AI workflows and background jobs in plain TypeScript. The platform features checkpoint-resume execution so tasks survive serverless timeouts, handles parallel AI calls, human-in-the-loop approvals, and complex automation — all written in standard TypeScript with no special DSLs or configuration languages required.
CEO Matt Aitken previously created two iPad apps that won Apple's App of the Year, and the team built JSON Hero, an open-source JSON viewer used by 35,000+ developers monthly. Founded in 2022 and part of Y Combinator's W23 batch, Trigger.dev is purpose-built for the wave of AI-native applications that demand long-running, reliable background execution.
Traction and Growth
Trigger.dev raised a $3M seed round from Y Combinator and has since closed a $16M Series A led by Standard Capital. The platform is growing rapidly as AI workflows become critical infrastructure for engineering teams, with developers increasingly needing reliable ways to orchestrate complex, long-running AI pipelines without fighting serverless constraints.
