HN

Comments (44)

• tpowell
  It takes a bit of setup and a huge download, but every time I need a good domain I follow this old post from Derek Sivers. I have Claude de-dupe it and turn it into a searchable database (on my machine), then have it search genres and terms I'm looking for. It's a task Claude is very well-suited to, from the technical implementation to back-and-forth about selections. [link]: https://sive.rs/com
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  iFire
  Here's my impressions of your algorithm:1. read each site2. rent a 4090 with https://vast.ai to run vllm3. let llm model invent its own category and tag names freely4. save 1KB of metadata each a. a small local language model that reads each one and writes a name, two or three sentences, a category, and a handful of tags. 5. `code is going up as open source` soon (TM)
• lagrange77
  Took me a few minutes to realise it's not a domain name search engine.
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  headz
  TS;DR: Too Sloppy; Didn't Read.
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  marginalia_nu
  Interesting project. Website discovery is indeed in a pretty dire spot, definitely a space that needs innovation. An auto-labeled website directory isn't that silly of an idea.I have a 400 GB sqlite database with samples of rendered root document DOMs I use for ad detection in Marginalia Search I've been meaning to explore similar ideas using.
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  fg137
  Sorry I have a lot of trouble understanding what this is useful for. Like, I am never going to replace it with Google, DuckDuckGo, ChatGPT or even Bing.
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  eggbrain
  This is actually where I see software going in the short term -- cloud moving to local.A few years ago, if you wanted translation, you'd use Google Translate. If you wanted to search the web, you'd use Google search.But for a few gigabytes, you can now install nllb-200-distilled-600M, and get translations for almost any language locally. You can have your computer crawl the web, create abstracts and categorizations for websites, and build search exactly as you want it.The main limiter now is hard drive space (and to an extent, local compute) -- but right now it feels like the 70s again where the terminal into a remote server turned into building applications locally.
• BaudouinVH
  How do you build a list of domains you want to index ? I see there is a fetcher and a spider in the code but so for I haven't found how to build that list.
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  pimlottc
  Sometimes I think people forget how capable computers are. 500k is not much. You can just slap that in a Lucene instance. This is a solved problem.
• pavel_lishin
  From the screenshot, it's very funny that one of the indexed sites is www.llresearch.org, which looks like it's run by a crackpot.
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  orliesaurus
  Like a personal Google? How do you bypass all the captcha, ip bans, cloudflare turnstile antibot stuff etc?
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  elorant
  Domains are way more than just 40M though.
• dewey
  I think Kagi Small Web filter would give you very similar results.
• dreamforever
  Check out my latest project! You can fork it, tweak the policy manually or with AI, run the system and watch the data come in! It's engineered to keep a low data footprint, so 500k domains fits into 1GB on disk. If you have local models it's free! You just might not get the best throughput depending on your GPU. My production data is not exposed anywhere yet, and I may never expose it. The point is for you to fork and make your own policy, and thus your own personal search engine! The article covers basic analysis on my data, so it's worth a read if you're interested! A deeper analysis may arrive with V2 if I ever do it
• whatistrending
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• iFire
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• nonewideas
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• hns86vq0nb
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• anon
  undefined