2. faster as speed or development? Gem ecosystem in Ruby makes it super fast to develop stuff, I'm not sure is there any ecosystem that rich with up to date libraries.
The upthread comment isn't commenting on the existence of the package manager by the coverage of the ecosystem; every language has an ecosystem, but they aren't all equivalent.
I doubt the Ruby ecosystem is the largest out here. In terms of packages, npm more than 1 million, Maven Central (Java) 438k, PyPi (Python) 336k, Packagist (PHP) 323k, NuGet (C#) 260k, CPAN (Perl) 202k, Ruby has 170k gems, Rust 70k, Elixir 16k, Haskell 16k OCaml 3445. I couldn't find information for Go, and nothing specific for Scala and Clojure. Out of those the most comparable are Java, Python, PHP and C# due to the existance of Spring, Python, Laravel and ASP.NET competing against Rails. All of them have a bigger ecosystem compared to Ruby. In terms of scripting languages, Perl, Python and JS all have bigger ecosystems.
Of course you could reply about the quality of packages, but first, that's moving the goalposts, and second, why would the Ruby ecosystem be any better?
Package number is not enough. For example, .NET’s BCL is probably the largest of all the languages you shown where the other ecosystems would have to provide what it covers.
I don't think what you are saying holds. For instance, 32k [0] is just where intersection of both .NET frameworkd (Win only) and .NET Core (cross plat). If you want to see in total, this is a rough estimation, 634k APIs [1]. I don't know how much of that is .NET core only.
Come on, I already talked about that moving the goalposts things. Ruby is mostly used for monolithic web developement, and then scripts. This is covered by bigger ecosystems.
that's exactly what we did and doing very well. After trying lots of stuff in the last 12 years and actively participating in the indie communities, that's the easiest way to make it work.
Find a popular product, pick a growing niche that product serves not so well (you can see that in reviews, twitter, etc) and build a specialized version of that product with a friendly and modern UI. When serving different niches, usually products require different configurations for each and get quite heavy and confusing. You can fix that by specializing on one niche.
You can try building similar sites as much as you want, you won't get to that level. It's about timing, marketing, etc not just building something and done.
I fit very well in the article description. It's not only about finding the right niche and riding the wave, is also about execution, otherwise competitors will eat you.
There's luck involved of course, but after 10 failed tries you'll get an eye for it. Just an example: there are sub-markets that don't have specialized products, they all use products built for everyone instead that specific niche, like instead of a CRM for everyone niche it down as CRM for mechanics (i'm sure there are many of them, but you get the idea).
What awful comments here, you're all criticizing something really exciting. Of course AI can't beat real humans, what do you expect? But it's closer we've ever been, especially since is available to consumers. People in sales and marketing know how valuable is this on improving conversion rates... if you're not in those fields, that's not for you, saying something it useless just because you have no knowledge in other domains, it's highly ignorant.
If I think about things that should be automatized with robots in this world my number one priority would be boring or exhausting work like repairing roads, mine work, deliver goods from A to B. Why should we replace the "human" part in human-to-human communication with robots when social interaction is one of the pillars that define us? I'd rather speak with an unfriendly real person in a call center than an emotionless "friendly" robot.
But yes, if "improving conversion rates" is your main priority, it may be helpful.
Sure, or this is what came out of an effort by some startup to monetize existing ML technologies in a low hanging fruit use case of generating a deep fake. Might not be the revolution we're all waiting for.
If the technology itself is hot and there's a big unmet demand, other companies are doing most of the marketing already and you just need to inform customers you have it to sell also.
That really isn’t not doing marketing though. That’s just piggy backing off your competitors but the product itself is still being marketed by your competitor.
