Show HN: Watch fascism unfold in realtime – an AI-powered tracker https://ift.tt/Eu3bDVF

Show HN: Watch fascism unfold in realtime – an AI-powered tracker Hi HN, Wanted to share a project I made over the weekend - a real-time fascism tracker. The site fetches recent news from trusted sources, filters it for keywords related to fascism and the current US administration, and then sends it to GPT-4o for classification according to the 14 characteristics of fascism described by Dr. Lawrence Britt. With the rapid pace of news in the US, especially post-election, it’s hard to keep up. I built this site so you can quickly see important topics and draw parallels with similar historical events. Would love to hear your thoughts. - Ryan https://ift.tt/orgBYSm February 6, 2025 at 10:32PM

Show HN: Kindly RSS, a self-hostable RSS app designed for e-ink devices https://ift.tt/mwlaLbo

Show HN: Kindly RSS, a self-hostable RSS app designed for e-ink devices In the last few weeks I've been working on a RSS application designed to be used in e-ink devices such as Kindle, through the device's web browser. It's a self-hostable app optimized for running on low-end hardware (such as Raspberry Pi, I actually run it on a 3b model). The project is in its early stages of development. It is usable, but you may (and probably will :P) encounter bugs from time to time. I did it for myself (I like to read at night before going to sleep but I don't like to use my phone at that time). I thought people could find it useful so I worked on it a little bit more to publish it. At the moment it can only be run by downloading and compiling the source code or using the docker image (in the repo and the landing page there is a curl that executes the script to run the container, manual instructions can be found in the repo's README). Repo: https://ift.tt/BxzpEek Dockerhub: https://ift.tt/kHWhdi6 Thank you for reading! I'd love to hear your thoughts and suggestions. https://kindlyrss.app/ February 6, 2025 at 02:16AM

Show HN: How good is your color vision? Find out in my new game https://ift.tt/rOLCgnD

Show HN: How good is your color vision? Find out in my new game https://ift.tt/n1xR7HZ February 2, 2025 at 05:33AM

Show HN: I used Azeron to control my robot like a puppet https://ift.tt/Ykz8yQw

Show HN: I used Azeron to control my robot like a puppet https://ift.tt/p4gVxC2 February 5, 2025 at 04:05AM

Show HN: Haystack Code Reviewer – Perform code reviews on a canvas https://ift.tt/cm0FM64

Show HN: Haystack Code Reviewer – Perform code reviews on a canvas Hi HN! We’re building Haystack Code Reviewer, a tool that lays out code diffs for a GitHub pull request on an interactive canvas. Instead of scrolling through diffs line-by-line, you can view all changes in a more connected, visual format – similar to viewing a call graph. We hope this will make it easier and less cognitively taxing to understand how different changes across files work together. For a quick overview, check out our short demo video: https://www.youtube.com/watch?v=QeOz70x0WPE . If you would like to give it a spin, head over to https://ift.tt/qSr0Xmn , click the “Review pull request button” in the top toolbar, and load any pull request via URL or pick a pull request from a dropdown. We built Haystack Code Reviewer because we found pull requests difficult to review in a pure textual format — especially when hopping between multiple files or trying to break down complex changes. Oftentimes, pull request authors would have to specifically structure their commits so that code reviews would be easier to tackle, which is a time-consuming and error-prone process. Our goal is to make any pull request easy to understand at a glance, and reduce the effort needed from both reviewers and authors to craft a good code review. Haystack Code Reviewer works on private repositories! We have authentication to ensure that someone cannot open the server for your pull request without having access to that pull request on GitHub. For additional security, we plan to build self-hosting soon. Please contact us if you’re interested in this. Alternatively, a completely local option would be to download desktop Haystack and then navigate to your pull request from there. This is great for trying out the feature without exposing any data on the cloud! In the near future, we plan to: 1. Introduce step-by-step navigation to guide reviewers through each part of the changeset 2. Allow for self-hosting We’d love to hear your thoughts, suggestions, and any feedback on our approach or potential features. https://ift.tt/AUb0Bke February 4, 2025 at 10:32PM

Show HN: Mandarin Word Segmenter with Translation https://ift.tt/jKtGDWo

Show HN: Mandarin Word Segmenter with Translation I've built mandoBot, a web app that segments and translates Mandarin Chinese text. This is a Django API (using Django-Ninja and PostgreSQL) and a NextJS front-end (with Typescript and Chakra). For a sample of what this app does, head to https://ift.tt/10ptOPZ . This is my presentation of the first chapter of a classic story from the Republican era of Chinese fiction, Diary of a Madman by Lu Xun. Other chapters are located in the "Reading Room" section of the app. This app exists because reading Mandarin is very hard for learners (like me), since Mandarin text does not separate words using spaces in the same way Western languages do. But extensive reading is the most effective way to learn vocabulary and grammar. Thus, learning Mandarin by reading requires first memorizing hundreds or thousands of words, before you can even know where one word ends and the next word begins. I'm solving this problem by allowing users to input Mandarin text, which is then computationally segmented and machine translated by my server, which also adds dictionary definitions for each word and character. The hard part is the segmentation: it turns out that "Chinese Word Segmentation"[0] is the central problem in Chinese Natural Language Processing; no current solutions reach 100% accuracy, whether they're from Stanford[1], Academia Sinica[2], or Tsing Hua University[3]. This includes every LLM currently available. I could talk about this for hours, but the bottom line is that this app is a way to develop my full-stack skills; the backend should be fast, accurate, secure, well-tested, and well-documented, and the front-end should be pretty, secure, well-tested, responsive, and accessible. I am the sole developer, and I'm open to any comments and suggestions: roberto.loja+hn@gmail.com Thanks HN! [0] https://ift.tt/LO2Z4YA [1] https://ift.tt/TRukZbN [2] https://ift.tt/DdohwMA [3] https://ift.tt/uJYE3lj https://ift.tt/YDoVw38 February 4, 2025 at 11:26PM

Show HN: Calculate Your Revenue https://ift.tt/YGD3cCt

Show HN: Calculate Your Revenue https://ift.tt/LqpCKU6 February 3, 2025 at 04:17PM