diff --git a/docs/source/getting-started/institutional-faq.md b/docs/source/getting-started/institutional-faq.md
index d6174797..e1d5ae56 100644
--- a/docs/source/getting-started/institutional-faq.md
+++ b/docs/source/getting-started/institutional-faq.md
@@ -55,6 +55,19 @@ industry, and governmental research labs. It is most-commonly used by two kinds
 * Large teams (e.g., a department, a large class, or a large group of remote users) to provide
   access to organizational hardware, data, and analytics environments at scale.
 
+Here are a sample of organizations that use JupyterHub:
+
+* **Universities and colleges**: UC Berkeley, UC San Diego, Cal Poly SLO, Harvard University, University of Chicago,
+  University of Oslo, University of Sheffield, Université Paris Sud, University of Versailles
+* **Research laboratories**: NASA, NCAR, NOAA, the Large Synoptic Survey Telescope, Brookhaven National Lab,
+  Minnesota Supercomputing Institute, ALCF, CERN, Lawrence Livermore National Laboratory
+* **Online communities**: Pangeo, Quantopian, mybinder.org, MathHub, Open Humans
+* **Computing infrastructure providers**: NERSC, San Diego Supercomputing Center, Compute Canada
+* **Companies**: Capital One, SANDVIK code, Globus
+
+See the [Gallery of JupyterHub deployments](../gallery-jhub-deployments.md) for
+a more complete list of JupyterHub deployments at institutions.
+
 ## How does JupyterHub compare with hosted products, like Google Colaboratory, RStudio.cloud, or Anaconda Enterprise?
 
 JupyterHub puts you in control of your data, infrastructure, and coding environment.