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How Superhuman uses Fivetran

ConfirmedVendor case study · Checked Nov 12, 2026
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The use case: how Superhuman deploys Fivetran

Superhuman standardized third-party data ingestion on Fivetran, loading data from sources such as Salesforce, Outreach, Pardot, Stripe, Zendesk and others into Databricks for reporting and AI-driven go-to-market workflows. It also uses the Fivetran Connector SDK with an internal LLM-powered agent to build custom connectors for internal data sources.

More reported results

Figures published in Fivetran’s case study. They are not independently measured by usedby.

98%

Reduced custom connector development by 98% — from months to as little as 1 day.

1 week

Centralized sales, marketing, and customer data to build AI-ready workflows in just 1 week.

1 day

Work that previously required approximately 2 months and multiple sprints can now be completed in as little as 1 day.

In the customer’s words

Fivetran allowed us to build AI-ready workflows in just 1 week by centralizing our sales, marketing, and customer data. That gave our teams a faster way to act on the data behind reporting, decisions, and execution across the business.
George Correa, Software Engineer at Superhuman — Source

Other AI tools used by Superhuman

Other public relationships recorded on usedby.

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Fivetran users in DevTools & Infrastructure

Companies in the same sector, with public evidence.

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Go straight to the source

Based on Fivetran’s published case study. We check the public evidence; the results are reported by the vendor.

fivetran.com
Last checked
Nov 12, 2026
fivetran.comCaptured Fivetran case study about SuperhumanOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 10%Checked

    Printed word for word on the page, near the name of Superhuman.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Superhuman.

  • Superhuman uses FivetranChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

Across these initiatives, improved data visibility and faster operationalization contributed to a 10% increase in customer lifetime value (LTV).
From the page. fivetran.com