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基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

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HackerNews API原版 HackerNewsNext.js

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Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments

92 点作者 jnnnthnn大约 1 年前
Hi HN!<p>I&#x27;m Jonathan and I built Ask Hacker Search (<a href="https:&#x2F;&#x2F;hackersearch.net&#x2F;ask" rel="nofollow">https:&#x2F;&#x2F;hackersearch.net&#x2F;ask</a>), an LLM-powered version of Hacker News&#x27; Ask HN.<p>Unlike Ask HN, Ask Hacker Search doesn&#x27;t solicit new contributions from HN readers. Instead, it leverages Hacker News&#x27; historical data to answer questions, and offers LLM-generated summaries of those. I&#x27;ve used it for questions like &quot;Should I use Drizzle or Prisma?&quot; or &quot;What is a good screen capture that allows easy zooming effects on Mac?&quot;.<p>It is particularly useful when you&#x27;re interested in understanding HN readers&#x27; sentiment about a topic, or when looking for expert insights on topics of interest to HN readers. I&#x27;ve been using it continually while building it, and have found it particularly useful to find software libraries recommended by HN or get quick vibe checks on hot topics.<p>This builds on my release of Hacker Search two weeks ago (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=40238509">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=40238509</a>), which offered a semantic search engine over top HN submissions. It&#x27;s not just a small upgrade: covering comments was the #1 requested feature after that launch, so I rebuilt the near entirety of the product to support that.<p>Please try it out and let me know what you think of it! I have to limit the number of LLM summaries each person can get for free, as this is entirely self-funded. If you hit the limit, you can subscribe for more summaries generated by a better model ($8&#x2F;month), or bring your own compute by running inference on Ollama on your machine!

15 条评论

sprobertson大约 1 年前
Well done. Matching the HN style with Tailwind is a nice touch.<p>One thing I&#x27;ve been wanting for with search in general, especially LLM-powered, is having some kind of date relevance - especially with the fast moving world of technology.<p>For example I want to know how ProductX and ProductY compare. Last year ProductY didn&#x27;t have FeatureZ, but they implemented and announced it last month. There might be several comments lamenting the lack of FeatureZ from 2 months ago, but they shouldn&#x27;t be considered with the same weight now that it does exist.<p>I don&#x27;t have any ideas for how this should be done but it&#x27;s something I&#x27;d like to see tackled in RAG systems in general, and wanted to put it out there.
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jsunderland323大约 1 年前
My UX feedback is that I had a natural inclination to click on one of the response comments to my query and expected to be redirected to that hn post and if possible scrolled to the comment. I know why you might not want that but as long as you’re using query Params and not doing anything weird with browser history I’d almost certainly toggle back.<p>I could definitely use this as an alternative to hn algolia for some things but it’s going to be hard for me to remember. I’d recommend doing this as a browser extension or something so it’s not 100% lost in the void.
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Valk3_大约 1 年前
I&#x27;m kind of late to this post, but really awesome initiative and well executed project! Thank you for bringing this to people!<p>I tested it a bit and it seems pretty decent, although for some really niche theoretical questions it wasn&#x27;t successful in retrieving the answers I wanted even if alot of the results were really good in other aspects. It could simply be because the answer is not available anywhere in hackernews.<p>I&#x27;m wondering if someone were to build a similar project but for other sites, what would your advice be? For instance what technical difficulties did you stumble on that you think would be good to be aware of?<p>Thanks in advance and once again congratulations on the project!
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r0fl大约 1 年前
I tried a few different searches and it has blown me away at how good the summaries are! Incredible execution!<p>Personally I like that it doesn’t look like a cookie cutter 2024 templates site and has a more raw feel but I’m not sure that’s the best way to gain mass users these days.<p>10&#x2F;10 for me<p>I’m impressed and most of the time I’m disappointed in the show hn section
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coloneltcb大约 1 年前
This is very cool. I wouldn&#x27;t make buying decisions off of this, but it is a good starting point to get a pulse on the developer zeitgeist on any given topic.
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aritraghosh007大约 1 年前
Very cool application of LLMs to supercharge the HN search experience. I’m bookmarking it!
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spikey_sanju大约 1 年前
Well done! I was also working on something similar and created a POC, but this is super nice.
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jnnnthnn大约 1 年前
I got some feedback that GPT-3.5 was letting people down so improved my caching strategy and defaulted everything to GPT-4o!
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gsuuon大约 1 年前
This is awesome! The comment filtering feature is a nice touch. Do I need to sign up to try local inferencing?
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J_Shelby_J大约 1 年前
Hey, great work! Definitely will look forward to using.<p>Can I ask what the tech stack is? Is it open source?
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retox大约 1 年前
From the YC legal page<p>&gt;Except as expressly authorized by Y Combinator, you agree not to modify, copy, frame, scrape, rent, lease, loan, sell, distribute or create derivative works based on the Site or the Site Content, in whole or in part,<p>&gt;In connection with your use of the Site you will not engage in or use any data mining, robots, scraping or similar data gathering or extraction methods.<p>Who owns the posts that you are trying to profit from?
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lpetting大约 1 年前
this is cool; i like that you used it continuously while building it&#x2F; built it for your own needs. are there any kinds of searches it does particularly well at? any fun hot takes come up in your summarizers?
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maguito大约 1 年前
I dig! Something like this would be cool to see for reddit too
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android521大约 1 年前
this is cool. which tech stacks do you use.Is it open source?
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testmasterflex大约 1 年前
Down
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