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diff --git a/assets/changelog/2025-05-tilebox-banner-go.svg b/assets/changelog/2025-05-tilebox-banner-go.svg
new file mode 100644
index 0000000..7e2daa3
--- /dev/null
+++ b/assets/changelog/2025-05-tilebox-banner-go.svg
@@ -0,0 +1,21 @@
+
\ No newline at end of file
diff --git a/changelog.mdx b/changelog.mdx
index 54f2e8d..74a7a1d 100644
--- a/changelog.mdx
+++ b/changelog.mdx
@@ -1,11 +1,76 @@
---
title: Product Updates
-description: New updates and improvements
+description: New features, updates and improvements
icon: rss
---
+
+ ## Go Client
+
+
+ 
+
+
+ Excited to announce the release of the Tilebox Go client!
+
+ **Features**
+ - Datasets client
+ - Statically typed dataset types
+ - CLI to generate dataset types
+ - Workflows client
+ - Go task runners
+
+ To get started, check out the [Go SDK documentation](/sdks/go/install).
+
+
+
+ ## Spatio-Temporal datasets
+
+
+ 
+
+
+ Spatio-temporal datasets are officially out, fully supported in all languages and available as a category to create in custom datasets!
+
+ The core problems that spatio-temporal datasets solve are
+
+ - finding relevant data quickly (e.g. all Sentinel 2 granules along the US coastline, last year),
+ - storing auxiliary geographically coded data (e.g. weather station data, ground truth data),
+ - cataloging higher level data and results
+
+ [Here's a short video](https://share.descript.com/view/khO3QJslhgU) on performance and core capabilities.
+
+ We're excited about this as cataloging has until now been an unsexy but hard problem, and it's great to finally have a solution out there
+
+ **More information**
+
+ - [Spatio Temporal datasets documentation](https://docs.tilebox.com/datasets/types/spatiotemporal)
+ - All open data now supports spatio-temporal queries
+ - [Create your own spatio-temporal datasets](/guides/datasets/create)
+ - [Ingesting spatio-temporal data](/datasets/ingest)
+
+
+
## Custom Datasets
- Coming soon!
+
+ 
+
+
+ Create your own custom datasets!
+
+ - statically typed
+ - with clients in Python and Go
+
+ Use it to organize anything from telemetry, raw payload metadata, auxiliary sensor data, configuration data, or
+ internal data catalogs.
+
+ **Quickstart**
+ 1. Specify the data type in the Console
+ 2. Create a collection
+ 3. Use client.ingest() to ingest a `xarray.Dataset` or `pandas.DataFrame`
+ 4. Query away!
+
+ For detailed instructions, check out the [Creating a dataset](/guides/datasets/create) how-to guide.
diff --git a/mint.json b/mint.json
index 419a84e..c747ffc 100644
--- a/mint.json
+++ b/mint.json
@@ -49,6 +49,10 @@
{
"name": "API Reference",
"url": "api-reference"
+ },
+ {
+ "name": "Changelog",
+ "url": "changelog"
}
],
"primaryTab": {
@@ -270,10 +274,15 @@
"api-reference/go/workflows/Jobs.Cancel",
"api-reference/go/workflows/Jobs.List",
"api-reference/go/workflows/Collect"
-
]
}
]
+ },
+ {
+ "group": "Changelog",
+ "pages": [
+ "changelog"
+ ]
}
],
"feedback": {