RSS-Link-Database VS game-server-watcher

I think that people who say they prefer keeping a simple file has never found a good app for bookmarking. There is still a space for killer app with bookmarks.

I think that simple URL bookmarking is just wrong. It simply will not work for big bookmarking data sets. The key is using tags, and rating system, and automatic update which checks if URLs are even valid any more.

I also thought that we miss a killer RSS app.

That is why I created my own self-hosted app.

- it can store bookmarks

- it gather news through RSS

- it provides tags (I can search bookmarks by tags)

- it provides user ratings (I can filter using it too)

- I can filter, or order by link, date of publish, date of creation, etc. etc.

- It checks if links are rotten (and marks them)

- I can mark link to read it for later

- I can see how many times I have visited a link

- I can check 'related links' to jump to things I have jump before from this link

On the other hand, I am quite certain that I use it, because it is 'tailored for me'. I am not that interested in the looks. I know how it works

- https://rumca-js.github.io/search - demo search

- https://rumca-js.github.io/music - demo music

- https://rumca-js.github.io/bookmarks - demo bookmarks

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

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

- https://github.com/rumca-js/Django-link-archive - main crawling engine using for all databases

I love bookmarks. I have made RSS app with bookmarking mechanism.

My links about bookmarks and links below.

https://github.com/rumca-js/Django-link-archive - django app, RSS client, simple web crawler, under construction

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

https://github.com/rumca-js/RSS-Link-Database-2025 - RSS links for year 2025

https://github.com/rumca-js/RSS-Link-Database-2024 - RSS links for year 2024

https://github.com/rumca-js/RSS-Link-Database-2023 - RSS links for year 2023

https://github.com/rumca-js/Internet-Places-Database - I also maintain a list of domains found in the Internet

https://rumca-js.github.io/search - search that uses links maintained in zip files

https://rumca-js.github.io/music - my music library, browsable

https://rumca-js.github.io/bookmarks - my bookmarks, browsable

ooooh I so escaped walled gardens.

I use my own set of domains to find places on the internet [0].

A working example how it could be used is at [1]. It is a domain viewer in javascript.

I also use my own RSS client [2] that stores all links in [3], but don't get me wrong, I also have my storage for bookmarks [4]

Links:

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

[1] https://rumca-js.github.io/quickstart/public/static_lists/vi...

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

[3] https://github.com/rumca-js/RSS-Link-Database-2025

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

Automation is inevitable. Growing AI is inevitable. Maybe it will become better, maybe not, but people will become accustomed to it. The better AI is, the more people will believe it. At some point it will replace critical thinking, just as newspaper were shaping popular opinions.

I have always been afraid that Google might be manipulating popular opinion, erasing, rewriting history by changing links it suggests. That is why I like archive.org; I can always go back to see state of web pages before. No rewriting history.

That is why I also keep my own repository of links https://github.com/rumca-js/RSS-Link-Database so that I always could return to links, that are important to me. I do not trust Google, or any big tech giant.

RSS Link Database

Similar goal, different approach. I wrote RSS reader, that captures link meta from various RSS sources. The meta data are exported every day. I have different repositories for bookmarks, different for daily links, different for 'known domains'.

Written in Django.

I can always go back, parse saved data. If web page is not available, I fall back to Internet Archive.

- https://github.com/rumca-js/Django-link-archive - RSS reader / web scraper

- https://github.com/rumca-js/RSS-Link-Database - bookmarks I found interesting

- https://github.com/rumca-js/RSS-Link-Database-2024 - every day storage

- https://github.com/rumca-js/Internet-Places-Database - internet domains found on the internet

After creating python package for web communication, that replaces requests for me, which uses sometimes selenium I wrote also CLI interface to read RSS sources from commandline: https://github.com/rumca-js/yafr

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

* a discord/telegram/slack bot to show live server info, player list and population graph https://github.com/a-sync/game-server-watcher

This one was just for fun, a synchronized video player/chat app to watch movies/shows together online: https://a-sync.github.io/ws.cinema