Here’s a metaphor that may be useful to understand why miscommunication happens so often. Words are thin labels, reflecting reality. They are colored and reflect reality differently based on perspective. Boo! That’s not helpful! It is easy to underestimate the extent to which this is true. The emotional coloring of a word can vary drastically person to person; in addition to differences in objective meaning or nuance. So what are some ways to avoid miscommunication?

V2 of the last blog post. Last time job postings were collected every few weeks in real time from remoteok.io. An alternative is to use the Wayback Machine to collect the postings. The result: Legend # Posts: Total number of posts on remoteok.io saved at archive.org for that month Total # NEs: The sum of counts of the top 20 Named Entities (skills) Pipeline Fetch the posts from the Wayback Machine Process the posts generating top 50 named entities for each month Manually reduce the top 50 named entities to the top 20 skills for each month Run a script in Blender (2.

As a professional developer you must always be learning. It can be frustrating to determine what skills are actually in demand. It helps to look at job postings but this takes a lot of time and you don’t necessarily get a bird’s eye view of how the demand for different skills varies. So this is a great opportunity to apply artificial intelligence and some simple data visualization to have a machine illustrate what skills are in demand, and how they change over time.