Circle Luma

Create new Circle events whenever new events are created in Luma.

Monitor Luma for newly created events. Whenever an event is added in Luma, automatically create a matching event in Circle.

Try:

See all Circle + Luma 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.

Circle Explore Circle →

Triggers
New message posted

Fires when a new message is posted to a channel in Circle.

New channel created

Fires when a new channel is created in Circle.

Mentioned in a message

Fires when your team or a keyword is mentioned in Circle.

New file shared

Fires when a new file is shared in Circle.

Actions
Send channel message

Posts a message to a channel in Circle.

Send direct message

Sends a direct message to a specific person in Circle.

Add reaction

Reacts to a message in Circle.

Invite user to channel

Adds a user to a channel in Circle.

Luma Explore Luma →

Triggers
New registrant

Fires when someone registers for an event in Luma.

New ticket order

Fires when a new ticket order is placed in Luma.

Attendee checked in

Fires when an attendee checks in at an Luma event.

Event canceled

Fires when an event in Luma is canceled.

Actions
Create an event

Creates a new event in Luma.

Register an attendee

Registers an attendee for an event in Luma.

Update an attendee record

Updates an attendee's details in Luma.

Create or update a contact

Creates or updates a contact in Luma.

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FAQ

Common questions

Can Knit build “Create new Circle events whenever new events are created in Luma.” between Circle and Luma?

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

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