Trigger.dev

Name: Trigger.dev
Rating: 5.0 (17 reviews)

Build and deploy fully‑managed AI agents and workflows

5.0•17 reviews•

686 followers

Build and deploy fully‑managed AI agents and workflows

5.0•17 reviews•

686 followers

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Automation tools

Trigger.dev is the platform for building AI workflows in TypeScript. Long-running tasks with retries, queues, observability, and elastic scaling.

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5.0

Based on 17 reviews

Review Trigger.dev?

Reviewers describe Trigger.dev as a strong fit for developers who want to run and monitor background work in code rather than juggle UI-based automation tools or build their own stack. Users repeatedly praise the TypeScript workflow model for type safety and flexibility, and say it compares well with options like Zapier, n8n, Inngest, or self-hosted setups when automations grow. A few founders using products like Clawcast and LoveTunesAI also highlight clear docs, helpful support, and reliable retries, tracking, and parallel processing.

+15

Summarized with AI

Pros

background job management (3)

scalability (2)

workflow automation (2)

Pros

Cons

Reviews

All Reviews

Most Informative

used Trigger.dev to build Contrive

•4 reviews

The processing of indexing data from various work applications is performed through time-consuming processes, retries, and tracking of their status. We were provided with a powerful way of running and monitoring these workflows using Trigger.dev.

Alternatives Considered

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2 views6d ago

•5 reviews

We decided to use Trigger.dev over Inngest or setting up our own dedicated solution. We had also looked into UI-based solutions like Zapier and n8n, but they become complex, really slow, expensive and time-consuming to manage for large automations. Trigger.dev made the most overall sense for us when taking dev-speed, cost, scalability and being future-proof into account.

What's great

workflow automation (2)free options (1)scalability (2)developer-friendly (1)

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88 views1yr ago

used Trigger.dev to build THEO

•5 reviews

We're leveraging Trigger.dev's robust background jobs framework to power THEO's context extraction engine. Their reliable queueing and processing capabilities help us handle multiple concurrent document transformations while maintaining consistent AI processing quality. Essential part of our infrastructure!

What's great

background job management (3)reliable queueing (1)

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71 views2yr ago