remember VS RSS-Link-Database

Racket is my favorite language. It's fast, practical, has solid foundations and an extremely nice concurrency story (based on concepts borrowed and extended from Concurrent ML). It has an excellent documentation system, with an integrated package ecosystem, which means that most packages have high quality documentation with cross-references. It has a great backwards-compatibility story -- a lot better than Python's, for example, which I use in my current dayjob. So, my impression of the commenters saying it's too academic or not practical is that they probably never dove deeply enough, or they are students who were only exposed to the teaching languages in the past. It's definitely not perfect: the community is small, the runtime has a high memory baseline, parallelism requires spinning up a Racket VM per system thread, among others, but these are things that will improve over time.

In the past several years, I've:

* built & run an e-commerce site written in Racket[1]

* built a native macOS and iOS reminders app, available on the App Store [2, 3, 4]

* built a cross-platform desktop client for Apache Kafka [5, 6, 7]

* built a `#lang` for Lua [8]

Among[9] other[10] things[11]. I think that's all pretty practical stuff!

[1]: https://defn.io/2019/08/20/racket-ecommerce/

[2]: https://defn.io/2020/01/02/ann-remember/

[3]: https://defn.io/2024/04/09/ann-remember-for-ios/

[4]: https://github.com/bogdanp/remember

[5]: https://defn.io/2022/11/20/ann-franz/

[6]: https://defn.io/2023/10/15/ann-franz-for-windows/

[7]: https://defn.io/2023/08/10/ann-franz-source-available/

[8]: https://defn.io/2022/11/12/ann-racket-lua/

[9]: https://docs.racket-lang.org/http-easy/index.html

[10]: https://docs.racket-lang.org/deta/index.html

[11]: https://docs.racket-lang.org/gui-easy/index.html

A really simple keyboard driven reminder tool for macOS:

https://github.com/Bogdanp/remember

My goal for this year is to continue building (mainly Mac and iOS) apps (like Remember[1] and Franz[2]) using Racket and to help improve the language and ecosystem in any way I can.

[1]: https://remember.defn.io

PS this is a macOS app with the GUI made with swift https://github.com/Bogdanp/remember/tree/master/cocoa/remember/remember but the backend is Racket.

On the other hand it is not 1995. Time has moved on. I wrote a Simple RSS feed, that also serves as search engine for bookmarks.

I am able to run it in attick on raspberry pi. We do not have to rely so heavily on google.

https://github.com/rumca-js/Django-link-archive

It is true that it does not serve me as google, or kagi replacement. It is a very nice addition though.

With a little bit off determination I do not have to be so dependent on google.

Here is also a dump of known domains. Some are personal.

https://github.com/rumca-js/Internet-Places-Database

...and my bookmarks

https://github.com/rumca-js/RSS-Link-Database

Some more years, and google can go to hell.

[4] https://github.com/rumca-js/Django-link-archive

These are exported then to github repositories:

[5] https://github.com/rumca-js/RSS-Link-Database - bookmarks

[6] https://github.com/rumca-js/RSS-Link-Database-2023 - 2023 year news headlines

[7] https://github.com/rumca-js/Internet-Places-Database - all known to me domains, and RSS feeds

My own repositories:

- bookmarked entries https://github.com/rumca-js/RSS-Link-Database

- mostly domains https://github.com/rumca-js/Internet-Places-Database

- all 'news' from 2023 https://github.com/rumca-js/RSS-Link-Database-2023

I am using my own Django program to capture and manage links https://github.com/rumca-js/Django-link-archive.

That is why I wrote [1] for myself. It stores links in database, which I can query. Everything is later on exported, like in [2] and [3]. I can browse history, I can find useful data. I do not say it has replaced google for me. It is a nice addition that helped me gather data I encounter on the Internet.

It is a link database, at first glance resembles Reddit clone, but my focus is on creating link database, not on providing social media experience cancer.

Links:

[1] https://github.com/rumca-js/Django-link-archive

[2] https://github.com/rumca-js/RSS-Link-Database

[3] https://github.com/rumca-js/RSS-Link-Database-2023

- https://github.com/rumca-js/RSS-Link-Database-2022 - all captured links in 2022

- I think newsboat reader does not provide advanced search mechanism

There is also a repo in which I store entries which I find interesting, useful: https://github.com/rumca-js/RSS-Link-Database