liwords VS go

Check out https://woogles.io (disclaimer I am a cofounder). AGPLV3 platform with world class bots, puzzles, a free analyzer, clubs/tournaments, and more to come. You can see the source code at https://github.com/woogles-io/liwords. We recently hit 5M games played and have hosted a few major tournaments.

A small team of us work on a project https://github.com/domino14/liwords - this is an online crossword-board-game playing website. We have around 6000 MAU, are fully free and open-source, and need a lot of coding help!

We built woogles.io (a crossword board game playing site with almost 10K MAU) in Go. See https://github.com/domino14/liwords

https://github.com/domino14/liwords - warning it’s not that well-developed but it’s ok

A small team and I made https://woogles.io - we were inspired by lichess to make a site to play crossword board games during the pandemic (like Scrabble, Words with Friends, etc).

We did raise money on Kickstarter - 25K but are purely donations-driven and open source (AGPL3) Most months we just get enough to cover the cost of running the servers. We have around 6000 monthly active users, have hosted several big worldwide championships, have puzzles, and just earlier today released a board editor / broadcast mode for annotating real life games in real time. We also have a top notch bot AI and WASM-based analyzer.

Our stack is Go, Typescript + React, with NATS/PGSQL on the backend.

woogles.io

The people behind those websites and apps have no clue this software exists. The exception is woogles.io because it is associated with the Macondo AI. /u/14domino is the brain behind both of those things

https://woogles.io raised $25K on Kickstarter and built a more beautiful site. Come join us (we’re still taking donations :)

- Playing online: there is woogles.io which I personally would recommend; it's made by players for players and is free to use. Among the features are: play against humans, play against strong bots, tournaments, feedback on your moves after the game, availability of different languages and game variants. Other options are: playscrab.com (also made by players for players); isc.ro (the Internet Scrabble Club); the app Scrabble Go and, if you don't mind playing with slightly altered game rules, Wordfeud, which comes along with a large online league (not technically affiliated with the app itself).

A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.

I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles

The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397

There used to be the GO FIPS branch :

https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...

But it looks dead.

And it looks like https://github.com/golang-fips/go as well.

I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:

- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644

- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412

Here are some excerpts from the latest Go survey [1]:

- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."

- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."

I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.

[1]: https://go.dev/blog/survey2024-h1-results

Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.

Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!

net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements

Make sure you have Go installed https://go.dev/.