Linear + Browse by DryMerge
Log Important News Articles as Linear Issues
Stay ahead of industry trends by logging important news articles as Linear issues. Perfect for strategic planners, this automation ensures your team is always informed on the latest developments.
New Industry News
Triggers when relevant industry news is published online.
Log as Linear Issue
Creates an issue in Linear with the article details.
See more Linear to Browse by DryMerge integrations or use AI to customize your automation.
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How to use DryMerge
Ask for what you want.
Tell DryMerge what you want to automate using plain English. For example, "Log important news articles as Linear issues"
Log important news articles as Linear issues
DryMerge figures out the details.
Based on your description, DryMerge identifies the apps involved, determines the appropriate triggers and actions, and creates the automation for you.
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+ Your workflow is ready to go!
Once DryMerge has created your automation, it will run automatically whenever the trigger event occurs, saving you time and effort.
Frequently Asked Questions
Our Capabilities
See what DryMerge can do with Browse by DryMerge + Linear.
Create Issue
Creates a new issue in Linear
Delete Issue
Deletes a linear issue
Update Issue
Updates an existing linear issue
List Issues
Lists linear issues for a specified team
List Teams
Lists linear teams
Search Issues
Search for information on linear issues
List Labels
Lists linear labels
New Linear Issue
Triggers when a new Linear issue is created
Updated Linear Issue
Triggers when a Linear issue is updated
Search Internet
A block that searches the internet for more up-to-date information
Scrape Website
A block that scrapes a website and retrieves textual information from it
Webhook
Calls an external API
App details
Linear
Linear is a streamlined issue tracking tool for software teams. Create, update, and manage tasks, and sync issue data with other tools.
Browse by DryMerge
Search the web for information, data, and resources. Automate web searches, scrape websites, and extract structured data from search results.
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