bump

Author: jtarchie

written/posts/2025-01-26.md

@@ -20,8 +20,8 @@ The queries focused on nodes, ways, or relations and their associated tags.
 For example, to find all the Starbucks locations in Colorado, you could use the
 following endpoint and query parameter:
 
-**Endpoint:** `/api/search`\
-**Query parameter:** `search=nwr[name=Starbucks](area=colorado)`
+- **Endpoint:** `/api/search`
+- **Query parameter:** `search=nwr[name=Starbucks](area=colorado)`
 
 The response would return a GeoJSON FeatureCollection, as shown below:
 
@@ -118,8 +118,8 @@ functions for tasks like clustering and distance calculations. The result was a
 dramatic improvement in performance, reducing query times to sub-second ranges
 while minimizing data transfer.
 
-**Endpoint:** `/api/runtime`\
-**Query parameter:** `source=<url encoded JavaScript file>`
+- **Endpoint:** `/api/runtime`
+- **Query parameter:** `source=<url encoded JavaScript file>`
 
 ```js
 const coffeeShops = query.execute(`nwr[amenity=cafe][name](area=colorado)`);