diff --git a/docs/demo/NightlyDashboard.md b/docs/demo/NightlyDashboard.md
index c4b11e1a..87ce7548 100644
--- a/docs/demo/NightlyDashboard.md
+++ b/docs/demo/NightlyDashboard.md
@@ -20,28 +20,3 @@ with urlopen(root + '/deephaven-benchmark/benchmark_tables.dh.py') as r:
     benchmark_max_runs_arg = 5  # Latest X runs to include
     exec(r.read().decode(), globals(), locals())
 ```
-The script works with the benchmark data stored on this demo system but also works in any
-[Deephaven Community Core](https://deephaven.io/core/docs/) instance that has
-internet connectivity. Copy the script and any additions you have made to another
-Deephaven notebook and run just as you did here.
-
-## How Does This Python Snippet Work?
-
-The following is a line-by-line walkthrough of what the above script is doing:
-1. Import the [_urllib.request_](https://docs.python.org/3/library/urllib.request.html) package and set up _urlopen_ for use
-2. Blank
-3. Detect the parent location of the benchmark data; local Deephaven data directory or GCloud data directory
-4. Open the *benchmark_tables* script from the discovered parent location
-5. Tell the *benchmark_tables* script where the benchmark data is
-6. Tell the *benchmark_tables* script what set of data to process
-7. Tell the *benchmark_tables* script how many benchmark runs to include
-8. Execute the *benchmark_tables* script to generate the tables
-
-Script Arguments:
-1. *benchmark_storage_uri_arg*: 
-   - Where to load benchmark data from (don't change if you want to use Deephaven data storage)
-2. *benchmark_category_arg*: 
-   - _release_ for benchmarks collected on a specific [Deephaven releases](https://github.com/deephaven/deephaven-core/releases)
-   - _nightly_ for benchmarks collected every night
-3. *benchmark_max_runs_arg*:
-   - The number of benchmark runs to include, starting from latest