Hacker News AI
Hi HN, I built an AI that can interact with the Hacker News API: https://hn.aidev.run You can ask questions like: - What on hackernews about AI? - What on hackernews about iPhone? - What's trending on hackernews? - What are users showing on hackernews? - What are users asking on hackernews? - Summarize this story: https://news.ycombinator.com/item?id=39156778 It uses function calling to query the HN api. To answer questions about a particular topic, it’ll search its knowledge base (a vector db that is periodically updated with the “top stories”) and get details about…
Hacker News AI launched on January 28, 2024 with 8 votes, #1,551 of 4,437 launches that month and more than 75% of that year's launches.
What it does
In the maker’s words, at launch
Hi HN, I built an AI that can interact with the Hacker News API: https://hn.aidev.run You can ask questions like: - What on hackernews about AI? - What on hackernews about iPhone? - What's trending on hackernews? - What are users showing on hackernews? - What are users asking on hackernews? - Summarize this…
Does a similar job
all alternatives →- HNHacker News AI built using function calling2024 · ▲7
Hi HN, I built an AI that can interact with the Hacker News API and answer questions about hackernews stories, whats trending, what on show etc.. Check it out here: https://hn.aidev.run You can ask questions like: - What's on hackernews about AI? - What's on hackernews about iPhone? - What's trending on hackernews? - What are users showing on hackernews? - What are users asking on hackernews? - Summarize this story: https://news.ycombinator.com/item?id=39156778 - Tell me about the user pg It uses function calling to query the HN api. To answer questions about a…
Hacker Search – A semantic search engine for Hacker News2024 · hackersearch.net · ▲233Hi HN! I'm Jonathan and I built Hacker Search (https://hackersearch.net), a semantic search engine for Hacker News. Type a keyword or a description of what you're interested in, and you'll get top links from HN surfaced to you along with brief summaries. Unlike HN's otherwise very valuable search feature, Hacker Search doesn't require you to get your keywords exactly right. That's achieved by leveraging OpenAI's latest embedding models alongside more traditional indexes extracted from the scraped and cleaned up contents of the links. I think there are many more interesting things…
My recommendation engine for Hacker News2023 · hn-recommend.julienc.me · ▲314Hi! I’m Julien and I built a recommendation engine for Hacker News. I feel like this website is a gold mine. Every day, I find some very interesting stories about a topic. And sometimes, I want to find other stories covering that same topic but I can’t. Hacker News has years of history of awesome discussion and ressources. Unfortunately, I think HN Algolia isn’t helpful in searching these old threads. As a student, I want to learn a lot from this website. This is why I created HN Recommend. Input a sentence or the URL of an article, and get the most popular and similar posts from Hacker…
- HAHackYourNews – AI summaries of the top HN stories2023 · hackyournews.com · ▲335
Hey there HN! I wanted to share a pet project of mine. I built HackYourNews [1] to scratch a personal itch: Knowing which stories to focus on while browsing aimlessly (though there is a certain joy in that, as well!) HackYourNews uses OpenAI's gpt-3.5-turbo to summarize the destination article as well as the comments section. Summarization of the article is always cached, while summaries of the comments are regenerated if the comments count is >10% (or >10 comments) different. While I styled the homepage to welcome HNers, my preferred view is the Mobile view, accessed from the navbar. This…

I made a search engine for Hacker News2024 · hackernews.demo.vectara.com · ▲211I love HN but always felt the search with algolia is okay but does have some limitations. Since I work at Vectara I decided to try and create a better search for HN. It's based on data from roughly the last 6 months of HN stories and comments. Would love to hear feedback and how useful this is relative to the existing search.
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