some more feedback

_posts/2023-03-03-json.md

@@ -17,6 +17,7 @@ LOAD 'json';
 The JSON extension supports various functions to create, read, and manipulate JSON strings.
 These functions are similar to the JSON functionality provided by other databases such as [PostgreSQL](https://www.postgresql.org/docs/current/functions-json.html) and [MySQL](https://dev.mysql.com/doc/refman/8.0/en/json.html).
 DuckDB uses [yyjson](https://github.com/ibireme/yyjson) internally to parse JSON, a high-performance JSON library written in ANSI C. Many thanks to the yyjson authors and contributors!
+
 Besides these functions, DuckDB is now able to read JSON directly!
 This is done by automatically detecting the types and column names, then converting the values within the JSON to DuckDB's vectors. 
 The automated schema detection dramatically simplifies working with JSON data and subsequent queries on DuckDB's vectors are significantly faster!
@@ -41,7 +42,7 @@ To demonstrate these, we will read `todos.json`, a [fake TODO list](https://json
 ]
 ```
 Each TODO item is an entry in the JSON array, but in DuckDB, we'd like a table where each entry is a row.
-In the latest release of DuckDB, this is now as easy as:
+This is now (since DuckDB's 0.7.0 release in February 2023) as easy as:
 ```sql
 SELECT * FROM 'todos.json';
 ```
@@ -331,8 +332,8 @@ LIMIT 5;
 | Tmonster    | 2     |
 | lnkuiper    | 2     |
 
-As expected, Mark (Mytherin) was the most active!
-My activity (lnkuiper) also shows up.
+As expected, Mark (Mytherin, co-founder of DuckDB Labs) was the most active!
+My activity (lnkuiper, software engineer at DuckDB Labs) also shows up.
 
 ## Handling inconsistent JSON schemas