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Life & fun · alternatives · 2026

24 alternatives to Semantic search over Hacker News, built on pgvector

I built https://ask.rivestack.io — a semantic search engine over Hacker News posts. Instead of keyword matching, it finds results by meaning, so you can search things like "best way to handle authentication in microservices" and get relevant threads even if they don't contain those exact words. How it works: Indexed HN posts and comments into PostgreSQL with pgvector (HNSW index) Embeddings generated with OpenAI's embedding model Queries run as nearest-neighbor vector searches — typical response under 50ms The whole thing runs on a single Postgres instance, no separate vector DB I…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Hi 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…

    2024 · hackersearch.net · its alternatives →

  2. 2AD

    We (Nick, Dens, Denzell, Fede, Drew, Aaryan, and Daniel) have been building HN Discovery, a discovery-focused search engine for Hacker News, in our spare time for the past 6 months and are excited to show it! It adds the following features relative to the existing keyword search interface and preserves the existing ones: - no-JS version (hnnojs.trieve.ai) - site:{required_site} and site:{negated-site} filters - public analytics - LLM generated query suggestions based on random stories - recommendations - dense vector semantic search - SPLADE fulltext search - RAG AI chat - order by…

    2024 · hn.trieve.ai · its alternatives →

  3. 3SH

    I built this tool to help me find interesting discussions on Hacker News. I love reading HN discussions almost more than the articles themselves. However, I found that full text search, although highly performant, is not always good at surfacing interesting discussions on a certain topic -- especially if you don't know what to search for exactly. I built this by scraping the most recent ~6 million posts (that's about 2 years of history) and putting the resulting posts and their vector embeddings into Postgres. Let me know what could be improved, and if you'd like a more detailed writeup of…

    2024 · searchhacker.news · its alternatives →

  4. 4

    Accessible end-to-end deep dive of crawling, embedding, projecting, and semantic searching all of Hacker News for my Hackerverse project.

    2024 · blog.wilsonl.in · its alternatives →

  5. 5

    End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.

    2025 · blog.wilsonl.in · its alternatives →

  6. 6

    Hi! 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…

    2023 · hn-recommend.julienc.me · its alternatives →

  7. 7DF
  8. 8IM

    As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…

    2024 · papermatch.mitanshu.tech · its alternatives →

  9. 9SC
  10. 10HA

    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…

    2023 · hackyournews.com · its alternatives →

  11. 11

    I 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.

    2024 · hackernews.demo.vectara.com · its alternatives →

  12. 12WS

    We’ve trained a generative AI model to browse the web and answer questions/retrieve code snippets directly. Unlike ChatGPT, it has access to primary sources and is able to cite them when you hover over an answer (click on the text to go to the source being cited). We also show regular Bing results side-by-side with our AI answer. The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform. Giving the model web access lessens its burden to need to store a snapshot of human knowledge…

    2022 · beta.sayhello.so · its alternatives →

  13. 13

    Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too. The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our…

    Mar 2026 · github.com · its alternatives →

  14. 14

    We’re on a journey to advance and democratize artificial intelligence through open source and open science.

    Mar 2026 · huggingface.co · its alternatives →

  15. 15

    Boost relevance and UX with fast hybrid and semantic search

    2025 · meilisearch.com · its alternatives →

  16. 16

    A new experimental UI for Hacker News Search

    2015 · its alternatives →

  17. 17AT

    Hi HN, I spent a few weeks looking at the top HN posts of all time. This included exploration, clustering, creating visualizations, and zooming in on what (to me personally) seems like some of the best discussions on here. Three things in this post: 1- The interesting groups of HN posts 2- The interactive visualizations that you can explore in your browser 3- The data from this exploration -- this includes CSV of the titles as well as the text embeddings of 3,000 Ask HN articles. Blog post about this whole process here: [1] ============ 1- The interesting groups of HN posts From the…

    2022 · its alternatives →

  18. 18

    I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web. It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up. Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful. Live demo: https://yandori.io/news-flow/

    Nov 2025 · yandori.io · its alternatives →

  19. 19HN

    Did you want to know topics of the news or popularity of posts? "Hacker News Hack" helps you to find news based on some categories and importance or popularity. It tagged news with 9 categories with a natural language processing technology and supervised learning for categorizing news. It also calculates a speed of number of comments in each posts as popularity based on term, that is 1 hour, 1 day, 1 week, 1 month, or 1 year.

    2014 · newshack.io · its alternatives →

  20. 20

    A database of top ranking Hacker News front page posts

    2020 · harishgarg.gumroad.com · its alternatives →

  21. 214E
  22. 22

    HNSW implementation in Rust. Reference: https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf - swapneel/hnsw-rust

    2024 · github.com · its alternatives →

  23. 23

    A fun project that I built to try out R1 Distill Llama 70B. Enjoy :)

    2025 · hn-wrapped.kadoa.com · its alternatives →

  24. 24

    Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs

    2023 · github.com · its alternatives →

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