I'm fairly convinced that Haskell is good at preventing the kinds of bugs which you might run into writing, say, a parser or other kinds of very complex logical code, but I'm less convinced that the nature of the language helps with the kinds of issues you get hooking together APIs, databases, etc.
That's the only one occurrence I can find. I think the GGP made a good job of answering that.
I'm not going to walk over the differences as each of those would be a many hours task just for explaining.
Instead, the next high-profile HN Haskell link will be the thousandth demo/intro/tutorial that yet again implements some core data structure.
Rather than showing how Haskell is great for working with databases.
Or working with Kafka.
Or integrating with AWS.
Or parsing text.
Or running microservices.
Or any of the other hundred things that I'm going to do a dozen times before I need to reimplement binary trees.
data Value
= Object (HashMap Text Value)
| Array (Vector Value)
| String Text
| Number Scientific
| Bool Bool
| Null
[0] http://hackage.haskell.org/package/text-1.2.3.1/docs/Data-Te...[1] http://hackage.haskell.org/package/scientific-0.3.6.2/docs/D...
I use
http://hackage.haskell.org/package/optparse-applicative for small cli apps
http://hackage.haskell.org/package/envparse For any Docker microservice
http://hackage.haskell.org/package/aeson-1.4.5.0/docs/Data-A... For all JSON work. Sometimes I’ll use it with lenses which is massively powerful but a rabbit hole
I’ll use http://hackage.haskell.org/package/stm when dealing with parallel execution
https://github.com/brendanhay/amazonka For anything dealing with AWS
https://github.com/haskell-works?tab=repositories Projects for Kafka and avro
http://hackage.haskell.org/package/warp For trivial micro services or Scotty if more than a few endpoints
http://hackage.haskell.org/package/persistent For dealing with Postgres
http://hackage.haskell.org/package/parsec For dealing with any text parsing.
The tools are available, they can make things like cli apps and micro services trivial. However if you have never used a ML language before you will have a steep learning curve as very different to C style/based languages.
I was once of the opinion Haskell is academic, what can you use it for in the real world. Then I studied with it, played with it admittedly on and off over 1-2 years, hit hurdles where I had to think as so different to what I’ve learnt before. Eventually it clicked, it’s very hard and frustrating now in my day job using typical enterprise or popular languages. It’s not about convincing, it’s about having a open mind and wanting to learn something different