Log new bookings into central analytics database rows
When a new booking is made in Timekit, automatically insert a corresponding record row in PostgreSQL for real-time revenue and capacity reporting.
See all Timekit + PostgreSQL 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.
Timekit Explore Timekit →
TriggersFires when a new booking or appointment is made in Timekit.
Fires when a booking in Timekit is changed or canceled.
Fires when a new customer books for the first time in Timekit.
Creates a new booking or appointment in Timekit.
Cancels or moves a booking in Timekit.
Creates or updates a customer record in Timekit.
Adds a booking from Timekit to a connected calendar.
PostgreSQL Explore PostgreSQL →
TriggersFires when a new row is added to a table in PostgreSQL.
Fires when an existing row changes in PostgreSQL.
Fires when a scheduled query in PostgreSQL finishes running.
Runs a SQL query against PostgreSQL and returns the result.
Writes a new or updated row to PostgreSQL.
Syncs a table in PostgreSQL with data from another source.
More Timekit + PostgreSQL workflows
See all Timekit + PostgreSQL integrations → · Browse the full workflow library →
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Common questions
Can Knit build “Log new bookings into central analytics database rows” between Timekit and PostgreSQL?
Yes — describe it in the box above and Knit's Integrations Agent researches Timekit and PostgreSQL'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 booking platforms with data warehouses?
Linking PostgreSQL and Timekit ensures all customer appointments and schedule changes are backed up for reporting, business intelligence, and centralized customer tracking.
Can database updates drive customer appointment scheduling?
Yes, when new records are added or updated in PostgreSQL, matching customer profiles and bookings can be created automatically in Timekit.