StreamFit Pumble

When membership purchase in StreamFit, sync it to Pumble.

Monitor StreamFit for new membership purchases. Post a purchase notification message in a Pumble channel whenever a membership is bought.

Try:

See all StreamFit + Pumble 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.

StreamFit Explore StreamFit →

Triggers
New member signed up

Fires when a new member, client or user joins in StreamFit.

Class booked

Fires when someone books a class or session in StreamFit.

Entry logged

Fires when a workout, habit, journal entry or goal is logged in StreamFit.

Actions
Create or update member

Creates or updates a member's profile in StreamFit.

Book a class or session

Books a class or session for a client in StreamFit.

Log an entry

Logs a workout, habit or data point in StreamFit.

Pumble Explore Pumble →

Triggers
New message posted to a channel

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

Mentioned in a message

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

New channel created

Fires when a new channel is created in Pumble.

New file shared

Fires when a new file is shared in Pumble.

Actions
Send a channel message

Posts a message to a channel in Pumble.

Send a direct message

Sends a direct message to a person in Pumble.

Create a channel

Creates a new channel in Pumble.

Invite a user to a channel

Adds a user to a channel in Pumble.

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FAQ

Common questions

Can Knit build “When membership purchase in StreamFit, sync it to Pumble.” between StreamFit and Pumble?

Yes — describe it in the box above and Knit's Integrations Agent researches StreamFit and Pumble'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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