My suggestion was as follows:
Start the article by providing the dry facts - the meat of the article - in a super condensed format, so people get it as quickly as possible. Then, ask for money to get the rest - the analysis, the "whodunit", the "how we got there", the background, the bio's, and everything else. And then tell people: "If this interests you, you can pay $0.xx to read the rest of our article about it, including: (insert bullet points I just mentioned)"
The first section acts as proof that the person writing the article did their research; the rest is for those who are genuinely interested in the topic. It prevents disappointment and tells you clearly and transparently what you're getting for you cents.
I don't think the company did it in the end. They're struggling.
I was thinking of this quote from the article:
> Take it or leave it, but the web is dynamic by nature. Most of the work is serializing and deserializing data between different systems, be it a database, Redis, external APIs, or template engines. Rust has one of the best (de)serialization libraries in my opinion: serde. And yet, due to the nature of safety in Rust, I’d find myself writing boilerplate code just to avoid calling .unwrap(). I’d get long chain calls of .ok_or followed by .map_err. I defined a dozen of custom error enums, some taking other enums, because you want to be able to handle errors properly, and your functions can’t just return any error.
I was thinking: This is so much easier in Haskell.
Rather than chains of `ok_or()` and `map_err()` you use the functor interface
Rust:
``` call_api("get_people").map_or("John Doe", |v| get_first_name(v)).map_or(0, |v| get_name_frequency(v)) ```
Haskell:
``` get_first_name . get_name_frequency <$> callApi "get_people" ```
It's just infinitely more readable and using the single `<$>` operator spares you an infinite number of `map_or` and `ok_or` and other error handling.
However, having experience in large commercial Haskell projects, I can tell you the web apps also suffer from the dreaded dependency explosion. I know of one person who got fired from a project due to no small fact that building the system he was presented with took > 24 hours when a full build was triggered, and this happened every week. He was on an older system, and the company failed to provide him with something newer, but ultimately it is a failing of the "everything and the kitchen sink" philosophy at play in dependency usage.
I don't have a good answer for this. I think aggressive dependency reduction and tracking transitive dependency lists is one step forward, but it's only a philosophy rather than a system.
Maybe the ridiculous answer is to go back to php.