30%
“support a 30% month-over-month increase in searches and avoid issues related to downtime”
As published on algolia.com. Captured by usedby on Oct 7, 2026.
What happened
Fern uses Algolia, starting with DocSearch and later the Search API, to power search across its customers' API documentation sites. It runs a multi-tenant setup with secured API keys that restrict users to a subset of an index, and builds its own search UI with Algolia's headless components.
Summary written by usedby from the source page, in English. The figures are those of Algolia and Fern, not ours.
- under 200 ms“That method runs seamlessly, without needing a network call to Algolia's servers and responding in under 200 ms anywhere in the world.”
- less than a week“It took Fern less than a week to design, implement, then iterate on the Algolia record data structure.”
- 150“Since launching in 2023, we've been trusted by over 150 customers, including industry leaders like Square, Webflow, ElevenLabs, LaunchDarkly, and Intercom, to power their developer experience (DX) and agent experience (AX).”
The test came during a recent period of rapid customer growth, where Fern tripled its customer base within a year. Customer expectations remained the same, but now Fern needed a reliable search infrastructure to support a 30% month-over-month increase in searches and avoid issues related to downtime.
Our experience has been that Algolia scales with our user growth. Never once have we had a moment of downtime or an engineer skip a heartbeat because of Algolia.
What the story claims, and what we checked
We compared the story with its live page on Oct 7, 2026.
- The figure: 30%CheckedPrinted word for word on the page, near the name of Fern.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Fern.
- Fern uses AlgoliaCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.
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