Claiming that the number of job postings mentioning Jupyter has decreased, so Jupyter is no longer popular is not something a company in the data space should do. It is just embarrassing.
At the time when job openings are declining across the board, it's easy to lie with statistics.
It's like publications saying "research discipline X is gaining traction in recent years" based on search matches in PubMed, but not normalizing for the total number of articles submitted increasing.
Using baloney statistics to sell a product to data scientists is a bit like presenting a flat earth paper at an astronomy conference. Bold move.
And that graph they show has an offset y axis (hides the scale from 0 to exaggerate the "downward trend") _and_ has a non-uniform x axis. Each tick mark represents a different scale of time (1yr, 3 mos, 1 mo)
Wtf