Cross-post feedback and comments
When a team member leaves a new comment in Confluence Server, automatically post that comment onto the related workspace in Steady.
See all Confluence Server + Steady integrations or talk to a human
Google for Startups AcceleratorHow Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Confluence Server Explore Confluence Server →
TriggersFires when a new post or update is shared in Confluence Server.
Fires when someone comments on or reviews an item in Confluence Server.
Fires when a task is assigned to someone in Confluence Server.
Posts an update or announcement in Confluence Server.
Creates a new task in Confluence Server.
Creates a new project or workspace in Confluence Server.
Shares a file or folder in Confluence Server.
Steady Explore Steady →
TriggersFires when a new post or update is shared in Steady.
Fires when someone comments on or reviews an item in Steady.
Fires when a task is assigned to someone in Steady.
Posts an update or announcement in Steady.
Creates a new task in Steady.
Creates a new project or workspace in Steady.
Shares a file or folder in Steady.
More Confluence Server + Steady workflows
See all Confluence Server + Steady integrations → · Browse the full workflow library →
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Common questions
Can Knit build “Cross-post feedback and comments” between Confluence Server and Steady?
Yes — describe it in the box above and Knit's Integrations Agent researches Confluence Server and Steady's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
Why sync two different team collaboration platforms?
Teams often work with external contractors or cross-departmental partners who use a different platform, making automated cross-tool updates essential for visibility.
Will updates in Steady loop endlessly back to Confluence Server?
No, integrations check for source metadata to prevent feedback loops, ensuring updates reflect cleanly without duplication.