The use case: how ResearchGate deploys PostHog
ResearchGate replaced its in-house experimentation and feature flagging tools with PostHog. It uses PostHog experiments to test different algorithmic models for its user home feed and analyzes the results alongside other product data.
In the customer’s words
All the data is in PostHog and it only takes 10 minutes to set up really detailed insights, so all of a sudden we’ve got these powerful visualizations that help us break down the conversion funnels.Other companies using PostHog
Customers across industries, with public evidence.
11XConfirmed
Arena (LMArena)ConfirmedCloudPeekConfirmed
CounterPressConfirmed
ElevenLabsConfirmed
ExaConfirmedGo straight to the source
Based on PostHog’s published case study. We check the public evidence; the results are reported by the vendor.
posthog.com- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of ResearchGate.
- ResearchGate uses PostHogChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Our home feed was very old and only surfaced content chronologically, like a subscription,” says Paul. “We’ve switched to an algorithmic model and PostHog has enabled us to test different algorithms so we can give users the right content at the right time.