lonk11

11 ms·

61.
by lonk11 5y ago
You are describing the project I'm building: https://linklonk.com You connect to RSS feeds when you "thumb up" or directly submit a link that this feed posted. The more of the content you like from the same feed -
62.
by lonk11 5y ago
Let me plug my hobby project: https://linklonk.com - it is a collaborative RSS reader and I did a Show HN recently for it: https://news.ycombinator.com/item?id=29445764 I think it may strike the balance you are
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by lonk11 5y ago
Good to see that the newsletter works! Let me know if you have any improvement suggestions for the newsletter.
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by lonk11 5y ago
When I find an article that is particularly insightful or informative I often wonder who are the other readers of this article, how did find it and what else did they find interesting? LinkLonk is a way to connect me to the other readers. I
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by lonk11 5y ago
From the FAQs on https://linklonk.com/about : "No, at the moment I don't have plans to open-source it."
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by lonk11 5y ago
Thank you! I'm focusing to make it a better tool first to make it useful in "single player" mode before we have enough users for network effects to kick in. Please let me know if you have any suggestions on how to improve the
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by lonk11 5y ago
The popularity based recommendations are only shown to brand new users - so they have some content to rate. A new user starts off weakly connected to all other users and to feeds the existing users are connected to. But as you submit or upv
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by lonk11 5y ago
The page with your personalized recommendations does not have an RSS feed itself. The recommendations are prioritized based on how strongly you are connected to sources that posted it - RSS feeds and users. This prioritized list does not ha
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by lonk11 5y ago
I appreciate this and I understand your concern that a project that does not have a sustainable income is likely to be stop working one day. At this scale the project doesn't cost much to run. The best motivator for me to develop it fu
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by lonk11 5y ago
LinkLonk is a novel mechanism to subscribe to RSS feeds and discover content - upvote or submit a link to anything you liked and you will get connected to RSS feeds that posted this content. The more content you upvote from the same feed -
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Show HN: Collaborative RSS Reader(linklonk.com)
122 points by lonk11 5y ago|18 comments
72.
by lonk11 5y ago
The support for native pgx in sqlc is good now. I migrated my project from database/sql to pgx recently and posted the instructions at the end of this post: https://linklonk.com/item/1948319982853095424
73.
by lonk11 5y ago
Manual subscription management is a problem. The current choices are: you either have to manually control everything or surrender control to an opaque algorithm. I am building https://linklonk.com to explore a middle ground - yo
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by lonk11 5y ago
LinkLonk does "differentiate a user who indiscriminately likes/follows everything from a user who likes just the things I like". Every time someone that you are connected to likes something, your connection to them becomes a
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by lonk11 5y ago
I am building https://linklonk.com and I think it adds a social proof to content discovery while preserving anonymity. Here is how it works: - When you upvote an item, you connect stronger to users that also posted that item and
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by lonk11 5y ago
Yes, the basic idea is similar. The big difference is that the TikTok's algorithm is a black box, while LinkLonk is intentionally transparent. By transparent I mean that you know what the algorithm will do when you upvote an item. For
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by lonk11 5y ago
Recreating groups is a hard reset on connections between users. That is, if you migrate from the old group to a new one, you effectively disconnect from all members of the old group and connect to the new. With LinkLonk you gradually update
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by lonk11 5y ago
The core problem here is the shared resource - the group. It is a shared channel of information. When you have people with different backgrounds any message on this channel will be "signal" to some and "noise" to others.
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by lonk11 5y ago
This is a very common reaction. I was just responding to this yesterday on Tildes: https://tildes.net/~tech/yrf/as_of_october_2021_what_is_in_y... I hope you will forgive my quoting: """ You seem to
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by lonk11 5y ago
This is exactly how my hobby project works: https://linklonk.com The interest graph is built in response to your content upvotes/downvotes. The connections are float values instead of booleans. Here is how these float value
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And You Will Know Us by the Company We Keep(eugenewei.com)
1 points by lonk11 5y ago|0 comments
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Switching the database driver to pgx improved LinkLonk's throughput by 120%(linklonk.com)
2 points by lonk11 5y ago|0 comments
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by lonk11 5y ago
The initial version of sharing collections by link is done: https://linklonk.com/collection/programming-yUlhkwDXFb RSS would be the next step.
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by lonk11 5y ago
Thanks for the idea! LinkLonk already has a concept of a "list of links" - collections. When you upvote a link you put it into one (or more) of your collections. What you are suggesting is similar to another idea I had ( https:&#x
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by lonk11 5y ago
If you see content that is not worth your time recommended to you then you can downvote it to stop trusting those who found it useful. It is all in your control as a user. I didn't quite get what are the centralized incentives that lea
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by lonk11 5y ago
Your connections to feeds and other users on LinkLonk evolve over time as you rate content. If you start upvoting tuna-related content then LinkLonk will connect you to other tuna lovers and your connections will gradually "forget&quot
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by lonk11 5y ago
True, the network effects of the traditional social media are strong. LinkLonk needs a critical mass of users for network effects to kick in. To make it worthwhile for the users before the project reaches that point, I am trying to make Lin
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by lonk11 5y ago
Would it work if we had an option for a "compact" mode that shows items without no thumbnail and description? Or would you change something else? I don't know if I can get rid of the bottom part with the buttons since this is
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by lonk11 5y ago
> If you want to build trust it has to work on the agents producing the content... LinkLonk's algorithm works that way. It builds trust in sources of information (including users who rate content). And it does not and will not try t
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by lonk11 5y ago
I had an idea similar to this as well - to help people kickstart recommendations for their friends. I'm thinking of creating a personal url for each user (e.g., linklonk.com/u/lonk). If someone upvotes that url - they establi

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