Marketroid boilerplate text

I came across what might be described as a more “modern” alternative to the well-known “lorem ipsum” text for dummying up article layouts. You can find lots of occurrences of this all over the web with this search <https://www.google.com/search?q=Capitalize+on+low+hanging+fruit>, and frankly, most of them look like accidents. But I can’t find where this text originally came from. Anyone have any idea?

On Sat, 11 Jan 2020 21:09:53 +1300, I wrote:
I came across what might be described as a more “modern” alternative to the well-known “lorem ipsum” text for dummying up article layouts.
Not sure why that particular text is so popular, but I found a generator (in JavaScript) for texts of that form here <https://github.com/npmgod/Corporate-Ipsum>. Naturally, I did a Python conversion, here <https://github.com/ldo/corporate_ipsum>.

Hi Lawrence,
Naturally, I did a Python conversion, here <https://github.com/ldo/corporate_ipsum>.
The content of the sentences your program generates reminds me of my days of working in a US based multi-national and what I listened to when attending management meetings. The only difference is that there would normally be an abbreviation or acronym in each sentence which most people attending the meeting didn't know what it stood for, but nobody ever asked what they meant 😉 Maybe your program could add "RAAA's" - "Random Abbreviations and Acrynoms". cheers, Ian.

On Fri, 17 Jan 2020 01:35:21 +0000, Ian Stewart wrote:
The content of the sentences your program generates reminds me of my days of working in a US based multi-national and what I listened to when attending management meetings.
There’s a Dilbert cartoon where a co-worker hands out “buzzword bingo” cards to attendees at a staff meeting as they file in. Then the first person to fill out their card by crossing off buzzwords that are mentioned gets to mystify the presenter by calling out “bingo!”. By the way, a quick web search finds quite a few services willing to generate buzzword-bingo cards for you...
By the way, I added a feature not present in the original: it can now string together multiple adjectives and multiple nouns in a single phrase, the numbers of these being chosen according to mean values that you specify, according to a Poisson random distribution. I also had to figure out how to implement a Poisson random distribution. ;)
participants (2)
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Ian Stewart
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Lawrence D'Oliveiro