Provides an open-source platform for automating background tasks and workflows using a JavaScript/TypeScript SDK, enabling developers to build and deploy resilient systems without managing infrastructure. It eliminates issues like timeouts, scaling challenges, and error handling by offering features such as real-time monitoring, automatic retries, and durable cron schedules.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
- Startup funding source · Source unavailable
- Startup funding source · Source unavailable
- Startup funding source · Source unavailable
Founders
Product
Problem
Developers face challenges in building and deploying reliable background tasks and workflows, including managing infrastructure, handling timeouts, ensuring scalability, and implementing robust error handling. Existing solutions often require significant operational overhead and can be difficult to integrate with modern development workflows.
Solution
Trigger.dev provides an open-source platform that simplifies the automation of background tasks and workflows using a JavaScript/TypeScript SDK. It eliminates common issues such as timeouts and scaling challenges by offering features like real-time monitoring, automatic retries, and durable cron schedules. The platform allows developers to write resilient code by default, without the need to manage underlying infrastructure, and integrates seamlessly with existing tech stacks. Trigger.dev also supports the creation of AI agents and the streaming of responses directly to the frontend, enabling the development of invincible AI applications.
Target Audience
The primary audience includes software developers and engineering teams building applications that require reliable background processing, workflow automation, and AI-powered features.
Features
- JavaScript and TypeScript SDK for defining tasks and workflows
- Realtime run status updates to display task progress in applications
- Concurrency controls and queues to manage task execution
- Durable cron schedules for reliable task scheduling without timeouts
- Automatic retries with configurable policies for error handling
- Observability and monitoring tools for real-time tracing and debugging
- Build extensions for customizing the build process with tools like Python, Prisma, Puppeteer, and FFmpeg
- Support for AI tasks, including prompt chaining, routing, parallelization, orchestration, and evaluator-optimizer patterns
- Realtime Streams for piping LLM responses from runs to the frontend
- Preview Branches for isolated testing and debugging of changes