Alternatives
Products that do what OpenLinq does
The internet's reading list, curated by humans not algorithm
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2023 · github.com
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- 4CT
I’ve spent a lot of time reading articles that promise a lot but never give me what I’m looking for. They’re full of clickbait titles, scary claims, and pointless filler. It’s frustrating, and it’s a waste of my time. So I made a tool. You give it a URL, and it tries to cut through all that noise. It gives you a shorter version of the content without all the nonsense. I built this because I’m tired of falling for the same tricks. I just want the facts, not a bunch of filler. What do you think? I’m also thinking of making a Chrome extension that does something similar—like a reader mode, but…
2024 · cut-the-crab.streamlit.app
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- 6RBRSS Brain▲139
I wrote an RSS reader called RSS Brain recently. The motivate is the current RSS readers either don't sort articles by priority, which makes it hard to read posts from HackerNews and Reddit, or sort it with some "smart" algorithm which I don't trust. I also like the Google News feature that can show related story from different source, but the sources are not configurable and the algorithm is not transparent either. So with RSS Brain, I implemented these features: * Recommend related articles from the feeds of your choice. It's backed by ElasticSearch and the algorithm is described on RSS…
2022 · rssbrain.com
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Lately I've felt exhausted due to the deluge of AI/GPT posts on hacker news, and have seen similar grumblings. I threw together this frontend that filters out anything with the phrases AI, LLM, GPT, or LLaMa for use until the hype dies down a bit. Before anyone asks, yes I did try to use ChatGPT to help, and while the code it provided was helpful, it needed some heavy bug-fixing. Edit: One other note I forgot to mention. The favicon is generated by Stable Diffusion, I asked it to generate an "Aritificial Intelligence Favicon", and then I added the red circle with line through it.
2023 · save-buffer.github.io
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com
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I got tired of reading clickbait articles and seeing irrelevant ads. So I pulled in a few RSS feeds to create a news digest using OpenAI 4o-mini for summarisation. Appreciate any feedback you'all might have. PS: News-summarisation may have been done to death, but I'm a UI noob, so I'm using this project to learn some.
2025 · newsful.ai
- 11CE
I'm so tired of all that crappy AI content that is published every day. It's becoming way harder to find genuine creators on the internet because they are being overshadowed with massive amount of AI-driven material. I think I'm not the only one who thinks like that and that is why I've published "Is Generated" it's a community based Chrome Extensions where users can report, vote and block the content they suspect is AI-generated. Together, we can take back control and make the internet a better place for authentic creators!
2025 · chromewebstore.google.com
- 12IB
Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
Oct 2025 · github.com
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I built InsideStack to make it easier to find high-quality technical and software articles. Why? - The web is flooded with AI-generated content - Businesses are publishing tons of articles with biased content - Search results are often driven by engagement rather than quality. - AI-generated summaries of articles don’t drive traffic back to the original creators InsideStack lets you: - Search across curated RSS feeds with semantic search - Subscribe, bookmark, and follow topics or authors Currently, only a small set of feeds is included, but I am adding more every day. Suggestions for…
Dec 2025 · insidestack.it
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Former investigative reporter turned developer. I built a simple breaking-news monitor because tracking events across platforms is a mess now that Twitter’s unreliable. Bluesky is the backbone (a fraction of twitter, but still lots of journalists and OSINT folks), plus RSS, Telegram, Reddit, YouTube and Mastodon. Everything is one chronological feed with no algorithm, clear source labels, and lightweight activity detection when a region spikes above baseline (frequency math, not LLMs). But we do have a (hopefully non-obtrusive) AI-generated recent/post summary. Been building for a…
Feb 2026 · news-alert-eta.vercel.app
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Hello HN! About 1.5 years ago we published an idea on how to improve the Hacker News ranking algorithm (https://felx.me/2021/08/29/improving-the-hacker-news-ranking...). The main idea was to counteract the rank-upvotes feedback loop by using attention as negative feedback. We received very valuable input from the HN community (https://news.ycombinator.com/item?id=28391659), and have since come up with something that we think could be a real contribution: the upvoteRate metric. upvoteRate is an estimate of how much more or less likely users are to…
2023
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Hey folks! This is a project that I've been working in my free time for the past few months. It's a news aggregator that uses AI to select relevant articles and summarize them. The default sources are frameworks and libraries' updates, popular HN topics, and languages' subreddits threads that make past a certain threshold. You can run a local instance (needs an OpenAI key) and customize it with your own sources, and adjust the prompt as well. The resulting website can be browsed at https://dev-radar.com/ My next experiment will be with local news. I'm building some feeds with…
2023 · github.com
- 18IM
AI search results are quickly becoming more important than SEO, but as businesses, we have no visibility over it! That's why I'm building "Ahrefs for AI search results". Track keyword performance on AI tools like ChatGPT, Claude, Perplexity & more
2025 · linrush.com
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- 20IM
Well, I wouldn't call it a framework, but rather an easy way to define tools and agents, allowing the agent to think and do the work. - Currently supports Open AI, and DeepSeek models. I tried building an HN title recommender agent with this framework that analyzes top-performing posts on HN and suggests titles for HN posts. And this was the agent's reply after inspecting 10 best posts: Having analyzed the top 10 performing posts on Hacker News, we've observed that successful titles are often concise, intriguing, and sometimes provocative or impactful. They tend to evoke curiosity, highlight…
2025 · github.com
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Been feeling a bit left out in this fast paced world of ML/AI, so built my first ML project since college. The idea is to scrape the most recent HN article titles and use TF-IDF and cosine similarity as metrics to rank articles that you're interested in to filter out only relevant things. Hopefully a fun project for beginners to get inspiration to jump into this world.
2023 · github.com
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The first ever AI peer reviewed research article just got approved. It’s kinda crazy how advanced AI have come to replace researchers. I've just been using Deep Research on ChatGPT and Perplexity a lot to write and research complex technical reports for my boss. He loves the reports and it has decreased my workload a ton but I still have some frustrations with it. None of them provide an API that gets me the same quality of output you would with the applications. I wanted something with more control on the LLMs, swappable with the reasoning new models that came out. Not just prompt →…
2025 · github.com
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