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Really great work! It is exciting that people are working on alternative indexes of content, especially ones that prioritize content written by individuals for

Really great work! It is exciting that people are working on alternative indexes of content, especially ones that prioritize content written by individuals for smaller audiences. The uBlock heuristic is an interesting way to capture that. Matches well with our thesis we wrote about here: https://re-search.xyz/writing/mapping-the-new-world-towards-a-new-information-engine https://re-search.xyz/writing/mapping-the-new-world-towards-... Disclaimer: We’re a research group that is also working on a new kind of search engine. Our approach is a little different though. We think that information is now scattered across different semi-open silos, so the future of search will not look like a search bar and ten blue links to web pages.

marginalia_nu 5y ago
I'm also very interested in new paradigms to explore the internet. I've built a sort of explorable graph of adjacent websites based on my search engine database, was on Show HN a while back: https://search.marginalia.nu/explore/news.ycombinator.com https://search.marginalia.nu/explore/news.ycombinator.com If you click 'similar' under any site, you get a list of its neighbors. I think it would be neat to extend the metaphor not to just websites, but ... I dunno, something more general, links, topics, what have you. Like a browsable web of connected things. Maybe like with a bookmarking or annotation system. I think it could be super neat. Still a bit of a hand-wavy idea, but I want to build it, or someone else to build it. I do think the search box is a bit limiting.
- researchers 5y ago
  Yep, graph structure of topics enables users to wander around topic space. Good for less directed, more exploratory searching. Another graph that is useful is the graph of people -> topic clusters. See https://twitterverse.net/ https://twitterverse.net/ . Such a graph can help rank content from people deeply invested in a particular topic, and its hard to fake because they would presumably have to trick all their peers about their expertise We'll have our own Show HN soon but it's great to see similar ideas bouncing around. Would love to connect over email to learn more about your thoughts.
  - marginalia_nu 5y ago
    Yeah, I think there's real room to build something very cool and useful in the space of exploration and discovery. Do shoot me an email, my address is in my profile.

marginalia_nu 5y ago

I'm also very interested in new paradigms to explore the internet. I've built a sort of explorable graph of adjacent websites based on my search engine database, was on Show HN a while back: https://search.marginalia.nu/explore/news.ycombinator.com https://search.marginalia.nu/explore/news.ycombinator.com If you click 'similar' under any site, you get a list of its neighbors. I think it would be neat to extend the metaphor not to just websites, but ... I dunno, something more general, links, topics, what have you. Like a browsable web of connected things. Maybe like with a bookmarking or annotation system. I think it could be super neat. Still a bit of a hand-wavy idea, but I want to build it, or someone else to build it. I do think the search box is a bit limiting.

researchers 5y ago
Yep, graph structure of topics enables users to wander around topic space. Good for less directed, more exploratory searching. Another graph that is useful is the graph of people -> topic clusters. See https://twitterverse.net/ https://twitterverse.net/ . Such a graph can help rank content from people deeply invested in a particular topic, and its hard to fake because they would presumably have to trick all their peers about their expertise We'll have our own Show HN soon but it's great to see similar ideas bouncing around. Would love to connect over email to learn more about your thoughts.
- marginalia_nu 5y ago
  Yeah, I think there's real room to build something very cool and useful in the space of exploration and discovery. Do shoot me an email, my address is in my profile.