Articles published by Kaj Kandler
A list of articles authored by Kaj Kandler.
Topic: Social Media
Just before Christmas 2023, I received my invitation code to Bluesky, the new social media network aiming to build a more equitable successor for Twitter. I documented "My First 24 Hours on Bluesky" in an article.
Funnily, right at the very moment I published the article, Bluesky removed one of my main critiques. Up to that moment, Bluesky did not allow search engines to index the posts on the network or the profile pages. From December 2023 on forward, Bluesky does allow indexing. This makes the network more valuable for publishers and the messages more discoverable.
Topic: Structured Data Markup
My recent article builds a "List of Profile Pages" to make it easier for Google to discover all profiles that belong to a person. This list uses the ProfilePage schema, which Google announced support for in Nov. 2023.
By using the ProfilePage schema we help Google to understand that these are profile pages, whether the target website uses the new profile page schema or not.
Topic: Data Science
My most recent article "Jupyter Notebook to Data Pipeline" was published on Medium. It describes my observations from building an automated data pipeline using POython, Jupyther Notebooks, and AWS for automation.
This article was written during "Data Science Bootcamp" which I attended 2022/2023.
Topic: Managing people
In 2020 I published an article in two parts about my experience in 15Five's "Best Self and Upward's Review". This review is 360 manager review to improve management performance in an organization. In the articles I chronical the insights I gained personally and professionally going through this process as a software development manager at NewStore
Part One "Manager review — Visualize to get the full picture" describes the process derived from Google's 13 famous Manager feedback questions. It further shows how I visualized the data to get better inside.
In part two "Manager review — How to dig for gold" I expand on the visualization of the data and how to gain deeper insides from the charts chosen.