Show HN: Nero Burning ROM X Muse – The Burning Art of CD https://bit.ly/3Ewg1Ye

Show HN: Nero Burning ROM X Muse – The Burning Art of CD Hi HN, Have you heard of Nero Burning ROM? It was named after 'the Great Fire of Rome' as a pun. We are thrilled to announce that we're back with an AI-powered new product called 'Nero Muse' – a CD/Album cover generator. It's the great fire of virtuality now. :) https://bit.ly/489sKOf September 8, 2023 at 02:56AM

Show HN: HackYourNews – AI summaries of the top HN stories https://bit.ly/3PvyYkc

Show HN: HackYourNews – AI summaries of the top HN stories 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 no-frills view honors OS-level dark mode and is easy to skim on any device. Tried to keep the site minimal. The only JS is Cloudflare's privacy-preserving analytics [2], just to gauge interest. This is the first time I'm releasing something to the wild. Hope you find this useful! The frontend is pure HTML+CSS. The backend is Python with the excellent Microsoft Guidance [3] library to interface to OpenAI's API. [1] https://bit.ly/3PbUaKs [2] https://bit.ly/3Pcz8eZ [3] https://bit.ly/3PtVXMf https://bit.ly/3PbUaKs September 8, 2023 at 12:30AM

Show HN: SeoBot – An Autopilot for Programmatic SEO https://bit.ly/3PE7h8Z

Show HN: SeoBot – An Autopilot for Programmatic SEO https://bit.ly/44K28Ar September 7, 2023 at 10:57AM

Show HN: AI Chatbot for WordPress https://bit.ly/3Pbho3k

Show HN: AI Chatbot for WordPress https://bit.ly/3Pbhp7o September 7, 2023 at 01:28PM

Show HN: Security Compliance in Context (I am starting a side project) https://bit.ly/460kHRN

Show HN: Security Compliance in Context (I am starting a side project) https://bit.ly/44CxXet September 7, 2023 at 01:07PM

Show HN: All visitors pointers on a webpage (How-to) https://bit.ly/44KrHkC

Show HN: All visitors pointers on a webpage (How-to) https://bit.ly/44NITpn September 7, 2023 at 12:26PM

Show HN: Curated custom search engine portal https://bit.ly/44L1S45

Show HN: Curated custom search engine portal Hey friends, a little background - A friend of mine who’s also a newsletter writer once told me that when he’s interested in certain topic he would like to know the opinion of some of his favorite writers on the same topic. He would use Google to search something like discomfort site:sive.rs, and then expand his search across various authors he admires. It turns out that Google’s programmable search engine does exactly that. By simply adding a few websites (much like subscribing to newsletters or RSS feeds), we can craft a search engine tailored for our specific needs. I think that's a great idea - more signal and less noise. So I built a portal to facilitate sharing personal curations https://bit.ly/3L9umgL . Thanks for reading, lemme know what you think :D https://bit.ly/3L9umgL September 7, 2023 at 06:49AM

Show HN: Formstr: An open source and decentralized alternative to Google Forms https://bit.ly/3Rfgupd

Show HN: Formstr: An open source and decentralized alternative to Google Forms https://bit.ly/3sFqhux September 7, 2023 at 04:24AM

Show HN: uDSV.js – A faster CSV parser https://bit.ly/3PsrLAf

Show HN: uDSV.js – A faster CSV parser Hey folks! I know CSV parsers (especially in JS) aren't terribly exciting and someone writes a "better" one every week. I'm in the middle of my parental leave, and this was a project that came out of me looking for the fastest/smallest CSV parser. It all started so innocently, and then turned into a benchmark-validation-athon; the library itself took ~2 weeks to write, but the performance comparisons took another ~4 weeks (on and off). The benchmarks were a huge effort, but I think they are the most thorough to date, both in breadth and in depth, so hopefully you find them useful: https://bit.ly/3rcacfk Let me know if you have specific concerns / questions / improvements :) cheers! Leon https://bit.ly/48gnXKW September 4, 2023 at 05:04PM

Show HN: A better way to read blogs https://bit.ly/3RawBEH

Show HN: A better way to read blogs https://bit.ly/3R4gFUm September 6, 2023 at 12:12PM

Show HN: Automated Pull Request Reviews https://bit.ly/45FcAdM

Show HN: Automated Pull Request Reviews https://bit.ly/3sDeTPH September 6, 2023 at 06:42AM

Show HN: I built an extension that never lets you overpay for a book again https://bit.ly/45YZ849

Show HN: I built an extension that never lets you overpay for a book again https://bit.ly/461jxFA September 6, 2023 at 02:40AM

Show HN: ColorMood https://bit.ly/3P6Wwu7

Show HN: ColorMood Does your mood affect which color you like - a tool that attempts to find your favourite color right now https://bit.ly/3P6WwKD September 6, 2023 at 05:48AM

Show HN: Trellis – open-source Python framework to build DAG-based LLM workflows https://bit.ly/44Hheq8

Show HN: Trellis – open-source Python framework to build DAG-based LLM workflows Hey HN! Trellis is an open-source framework for programmatically orchestrating LLM workflows as Directed Acyclic Graphs (DAGs) in Python. My friend and I started working on this a few weeks ago after we tried building applications using mainstream LLM frameworks, and faced all the common complaints (too abstracted, hard to customize, bad docs/support). After talking to a few other people building with LLMs, we also noticed that these frameworks were not inherently built to support DAG-based LLM workflows. We designed Trellis to be as minimal and flat as possible, so developers can have lower level control over their DAGs. Trellis is composed of only three abstractions: Node, DAG, and LLM. Node: the atomic unit of Trellis. Nodes are chained together to form a DAG. Node is an abstract class with only one method required to implement. DAG: a directed acyclic graph of Nodes. It is the primary abstraction for orchestrating LLM workflows. When you add edges between Nodes, you can specify a transformation function to reuse Nodes and connect any two Nodes. Trellis verifies the data flowing between Nodes in a DAG to ensure the flow of data is validated. LLM: a wrapper around a large language model with simple catches for common OpenAI errors. Currently, the only provider that Trellis supports is OpenAI. Check out our docs if this sounds interesting: https://bit.ly/3EsVio1... We'd love it if you tried hacking with it and give us any feedback you have! :) https://bit.ly/3sHq4XJ September 6, 2023 at 03:04AM

Show HN: Fully client-side GPT2 prediction visualizer https://bit.ly/45TSJHe

Show HN: Fully client-side GPT2 prediction visualizer https://bit.ly/45HJM4g September 5, 2023 at 11:42PM

Show HN: Simple passwordless authentication for your website https://bit.ly/45APSU3

Show HN: Simple passwordless authentication for your website Solo founder here - built a passwordless authentication service after getting frustrated with the very high pricing and lack of customizability, easy passwordless authentication on existing solutions. Check it out here and let me know what you think! https://bit.ly/45FSkbS September 5, 2023 at 08:47AM

Show HN: Chalk.ist – Create beautiful images of your source code https://bit.ly/3R9hL1c

Show HN: Chalk.ist – Create beautiful images of your source code https://bit.ly/3MevSwk September 5, 2023 at 07:54AM

Show HN: Subsidian – Visualize a Substack archive in Obsidian graph view https://bit.ly/45TuclN

Show HN: Subsidian – Visualize a Substack archive in Obsidian graph view https://bit.ly/3Z66TCU September 4, 2023 at 03:08PM

Show HN: Keep – GitHub Actions for your monitoring tools https://bit.ly/48e39DV

Show HN: Keep – GitHub Actions for your monitoring tools Hi Hacker News! Shahar and Tal from Keep here. A few months ago, we introduced here at HN ( https://bit.ly/3EcwLE1 ) Keep as an “open source alerting CLI” and got some interesting feedback - mainly around UI, automation, and supporting more tools. We were VERY early back then, and we understood that although the current DX around creating alerts is not great, it's not that critical and developers don’t need another tool just for that. But we did find something else. While talking to developers and devops, we found that a lot of companies use many tools that generate alerts - from Cloudwatch, Prometheus, Grafana, and Datadog to tools such as Zabbix or Nagios. We definitely agree consolidation in the observability space is a real thing, but while talking to those companies we feel that there are still real use cases for having more than one tool (and for example, according to Grafana’s 2023 observability survey, 52% of the companies uses more than 6 observability tools https://bit.ly/47Ysbqh ). So we that in mind, we rebuilt Keep with a simple mindset: (1) Integrate with every tool that triggers alerts - it can be either pushing alerts to Keep via webhooks or routing policies or Keep to pull alerts via the tools API. (2) Create a simple abstraction layer to run workflows on top of these alerts. (3) Maintain a great developer experience - open source, API-first, workflows as code and generally having a developer mindset while building Keep. During the time we rebuilt Keep, Datadog released their workflow automation tool ( https://bit.ly/3L75FBC ) which led us to the understanding that's exactly what we solve - but for everyone who uses tools other than Datadog. A short demo of Keep with a simple use case: https://www.youtube.com/watch?v=FPMRCZM8ZYg You can try it yourself by signing into https://bit.ly/3Nipgk6 Like always - we invite you to try Keep and we are eager to hear any feedback. https://bit.ly/3IrvGuF September 4, 2023 at 04:15PM

Show HN: Recognize license plates using fine-tuned yolov8, OCR and IP camera https://bit.ly/46fACfp

Show HN: Recognize license plates using fine-tuned yolov8, OCR and IP camera Hey, just a work related project I made, which could be open sourced :D If you're looking for an example on how to use/fine-tune yolov8, I feel like taking a look at this repo and reading the README could help you get up to speed (also linked some nice refs)! This is actually a full rewrite of a proprietary project I made (and documented on my site) like a year ago, will do some finishing touches (write blog post about it, mark the old version deprecated, record a tutorial on how to set it up on an Ubuntu server, etc, etc) in the following month, but felt like sharing it now, cuz I consider it done The only proprietary part is the client, which receives the images and does stuff with db (has to interact with internal APIs, so there's no reason to make it oss anyways). Also, the client contains only the business logic, all of the fun ai/web server stuff is fully open under AGPL-3.0 (and an example client without the business logic is available ... in rust btw xdd). https://bit.ly/3qYiJme September 4, 2023 at 08:56PM