n8n workflows for Linear.

This workflow automatically classifies every new email from your linked mailbox, drafts a personalized reply, and creates Linear tickets for bugs or feature requests. It uses a human-in-the-loop with

Visual Regression Testing With Apify And Ai Vision Model. Uses googleDrive, lmChatGoogleGemini, outputParserStructured, stickyNote. Scheduled trigger; 34 nodes.

Wait Schedule. Uses googleDrive, lmChatGoogleGemini, outputParserStructured, stickyNote. Scheduled trigger; 34 nodes.

This n8n workflow is a proof-of-concept template exploring how we might work with multimodal LLMs and their multi-image analysis capabilities. In this demo, we compare 2 screenshots of a webpage taken

Create-Issue-Linear-Slack. Uses linear, postgres, slackTrigger, httpRequest. Event-driven trigger; 33 nodes.

Sync your Linear issues to Todoist automatically with this n8n workflow. When an issue is created, updated, or completed in Linear, a corresponding task is created, updated, or closed in Todoist. Trig

Create Linear Tickets From Notion Content. Uses splitInBatches, graphql, notion, linear. Event-driven trigger; 24 nodes.

This workflow allows you to define multiple tickets/issues in a Notion page, then easily import them into Linear.

Schedule Slack. Uses slack, lmChatOpenAi, outputParserStructured, scheduleTrigger. Scheduled trigger; 19 nodes.

Schedule Slack. Uses slack, lmChatOpenAi, outputParserStructured, scheduleTrigger. Scheduled trigger; 19 nodes.

This n8n workflow demonstrates how to create a really simple yet effective customer support channel and pipeline by combining Slack, Linear and AI tools.

This workflow integrates Linear, Scrapeless, and Claude AI to create an AI research assistant that can respond to natural language commands and automatically perform market research, trend analysis, d

This workflow automatically classifies and routes new or updated Linear issues using AI. When an issue is created or updated, its title and description are analyzed by an OpenAI-powered classifier. Th

Setup takes about 8–12 minutes. Google Sheets

Schedule Removeduplicates. Uses scheduleTrigger, lmChatOpenAi, outputParserStructured, stickyNote. Scheduled trigger; 13 nodes.

Workflow 3899. Uses lmChatOpenAi, outputParserStructured, chainLlm, gmail. Scheduled trigger; 13 nodes.

Turn new Linear issues into automated AI coding sessions. When an issue is created, this workflow runs an AI coding agent (Claude Code, Cursor CLI, Gemini or Codex) on the task inside a CloudCLI cloud

A scheduled trigger fetches recent Gmail messages from the inbox which collects support requests. These support requests are filtered to ensure they are only processed once and their HTML body is conv

This workflow automatically processes new GitHub issues and uses AI to classify them by type and priority. It extracts key issue data, sends it to an AI model for structured analysis, and formats the

Classify New Bugs In Linear With Openai S Gpt 4 And Move Them To The Right Team. Uses linearTrigger, stickyNote, linear, httpRequest. Event-driven trigger; 12 nodes.

When working with multiple teams, bugs must get in front of the right team as quickly as possible to be resolved. Normally this includes a manual grooming of new bugs that have arrived in your ticketi

This workflow automatically syncs new Productboard features into Linear as issues and notifies the team via Telegram. It starts on a schedule, fetches Productboard features through API requests, and t

Flow. Uses httpRequest, slack, linear. Scheduled trigger; 7 nodes.

Flow. Uses slack, linear, airtable. Webhook trigger; 6 nodes.