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Joined 10 months ago
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Cake day: June 7th, 2025

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  • Poll results are in!

    Here’s how the community voted:

    • Quake 4 -> 2 votes
    • Quake III Arena -> 1 vote
    • Aliens versus Predator Classic 2000 –> 1 vote

    I then ran the same three games through the Gamescovery similarity algorithm to see which one is closest to the original Half‑Life.

    According to the algorithm, Quake 4 takes the top spot, followed by Quake III Arena, with AVP 2000 coming in last.

    So this time, the algorithm lined up with the community’s pick - but there’s a catch. Several people pointed out that Quake II might actually be the closest match to Half‑Life. In the algorithm, however, Quake II ranks even further away than AVP 2000.

    I’ll double‑check that. Thanks to everyone who voted and shared their thoughts!













  • Hi, I see, hopefully you will be willing to participate in further testing (for example, in beta) when the project is in better shape.

    The only reason I bring the current alpha to the public is to test the concept and see if people are interested in it at all. I spent around 1 year (1 year of time, not of working hours) to make the current alpha, and there is no sense in spending one more year on a project nobody actually wants. For now, feedback was somewhat positive, so I want to continue and see what I will build next.

    The main idea of my recommendation algorithm is to calculate the unique test for every user. It doesn’t and wouldn’t compare the tastes of different users to calculate assumptions. I hate this, and those kinds of recommendation algorithms seem to never work for me. When doing my research on the beginning of the project, I found that such algorithms were first used for social media, but I don’t feel these algorithms are correct (as I feel it, I can’t prove this with real numbers for now).

    So, hopefully, Gamescovery recommendation algorithms wouldn’t have biases like "well everyone likes X so X”, since it never tries to compare 2 or more users. Besides that, Gamescovery will allow users to tweak the algorithm so that users can actually customize it to make the algorithm better for them. That doesn’t mean users will be able to completely change the behavior of the algorithm, but rather direct it in a direction they want.





  • Hi, thanks very much for this feedback, love it ❤️

    I never heard about backloggd.com, but it’s a good long-term thinking from you, that if the project survives to a stage where it has a big userbase, it’s a good idea to have compatibility or “plugins” with other trackers and data sources.

    I also like your idea with the rating scale, I will definitely think about implementing your idea or some variation of it.

    Yeah, it would be stupid to lock the project inside of itch.io games only. I started from itch.io and indie games for a few reasons:

    • I would like Gamescovery to bring value for indie games community, so authors, who have no money for an advertisement campaign, have more chances for a bigger player base.
    • itch.io data is very chaotic. So I decided that if my system can classify and correctly recommend itch.io games, it would definitely have no problems with better data, like from Steam.

    In the future, I definitely plan to support all popular PC game stores in the following order:

    • GOG
    • Steam
    • Epic

    I also think about the support of the consoles, but this will be in the rather distant future.

    I have one more question, if you don’t mind - what is your feeling about game recommendations after you rated 3-4 games? Were recommendations lean towards predicable “correct” way, or were they completely random and off?