Show HN: Non.io, a Reddit-like platform Ive been working on for the last 4 years

Re:Show HN: Non.io, a Reddit-like platform Ive been working ... by z3t4 on Monday June 12, 2023 @07:54PM (#36303142)

I think it can be solved by personalizing the top page(s), so you mostly see the kind of stuff you upvote. If there are a few people up-voting crap you wont see it, but they will see all of it.

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Re:Show HN: Non.io, a Reddit-like platform Ive been working ... by lonk11 on Monday June 12, 2023 @10:06PM (#36304218)

I'm building https://linklonk.com which works this way - you get content ranked based on what you upvoted. This is to make the incentives for voting aligned and help prevent abuse.

I think the problem with karma/reputation systems is that the source of karma are fungible - anyone's upvote has the same effect on the reputation. And this makes it gameable.

A personalized system can solve this by replacing global reputation with user-to-user trust. Now it matters who upvoted - a random bot or a user whose past contributions have been useful to you.

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Re:Show HN: Non.io, a Reddit-like platform Ive been working ... by pbhjpbhj on Tuesday June 13, 2023 @02:39AM (#36306390)

>Now it matters who upvoted - a random bot or a user whose past contributions have been useful to you. //

In that system how do you create a ranked list of content for a user to browse? Isn't it going to be very heavy on processing demand?

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Re:Show HN: Non.io, a Reddit-like platform Ive been working ... by z3t4 on Tuesday June 13, 2023 @05:05AM (#36307534)

You can do the processing in a worker. Maybe even offload it to the client. If there is a live stream a pretrained machine learning model could be used and it could infear who will like what

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Re:Show HN: Non.io, a Reddit-like platform Ive been working ... by lonk11 on Tuesday June 13, 2023 @07:40AM (#36308724)

Yes, it requires keeping track of how much each user trusts each other user. And then when you rank content for user A, you use the trust table of user A as weights of upvotes.

This is more computationally intensive than sorting by the raw number of upvotes or weight upvotes by karma/popularity.

But I think this is a useful computation - the user can be more confident that the content they is is not astroturfed and comes from trustworthy users.

Details of how trust is calculated: https://linklonk.com/item/3292763817660940288

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