Turn social media feedback into engineering issues

When a customer leaves a comment or mention in LinkedIn, automatically create an issue in TextKit so your engineering team can track bug reports.

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See all TextKit + LinkedIn integrations or talk to a human

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How 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.

TextKit Explore TextKit →

Triggers

New issue captured

Fires when a new error or issue is captured in TextKit.

Issue status changed

Fires when an issue's status changes in TextKit.

Deployment tracked

Fires when a new deployment is tracked in TextKit.

Actions

Create issue

Creates or updates an issue in TextKit.

Assign issue

Assigns an issue in TextKit to a teammate.

Resolve issue

Resolves or mutes an issue in TextKit.

LinkedIn Explore LinkedIn →

Triggers

New post published

Fires when a scheduled post goes live in LinkedIn.

Post failed to publish

Fires when a post fails to publish in LinkedIn.

New mention or comment

Fires when your brand is mentioned or a post gets a comment in LinkedIn.

Actions

Create or schedule a post

Creates a post in LinkedIn or adds it to the schedule.

Add a post to the queue

Adds a post to the publishing queue in LinkedIn.

Reply to a comment

Posts a reply to a comment in LinkedIn.

Announce new software deployments on social media When a successful code deployment is tracked in TextKit, automatically queue a new status post in LinkedIn to inform your audience. See details

Create technical tasks when social posts fail to publish When a post fails to publish in LinkedIn, automatically create and assign an issue in TextKit so developers can investigate the error. See details

See all TextKit + LinkedIn integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Turn social media feedback into engineering issues” between TextKit and LinkedIn?

Yes — describe it in the box above and Knit's Integrations Agent researches TextKit and LinkedIn'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.

How can TextKit help address social media comments from LinkedIn?

When users post complaints or report bugs on social media in LinkedIn, an issue is automatically created in TextKit so developers can investigate right away.

Can technical deployment events in TextKit send updates to LinkedIn?

Yes, tracking a successful product release or deployment in TextKit can automatically queue or publish announcement posts on LinkedIn.