Show HN: memsparkline – Track RAM usage of process and descendants in real time https://bit.ly/4fXQUhA

Show HN: memsparkline – Track RAM usage of process and descendants in real time https://bit.ly/4i5ZUmE November 24, 2024 at 02:46PM

Show HN: This AI Startup Drove 3000 Clicks with 2 Reddit Posts https://bit.ly/4fHp8pN

Show HN: This AI Startup Drove 3000 Clicks with 2 Reddit Posts https://bit.ly/3ZmqXmo November 24, 2024 at 10:30AM

Show HN: A web app for hosting quiz games https://bit.ly/4eSzv9m

Show HN: A web app for hosting quiz games I wrote a tiny version of this in Covid lockdowns because I felt playing trivia with friends was a bit boring, and we should all have buzzers like on game shows. I've been using it as a test project for trying out frameworks for years but I finally polished it up into a proper product. I'd love it if people try it out and give me some feedback, at the moment it sends you an emailed validation code which might put some people off trying it, if it does put you off then please let me know, I was also toying with just having free time-limited games. https://bit.ly/3Z1tmli November 24, 2024 at 05:17AM

Show HN: LLM Alignment Template – Aligning Language Models with Human Feedback https://bit.ly/4g1lXJr

Show HN: LLM Alignment Template – Aligning Language Models with Human Feedback Hey Hacker News! I've been working on an open-source project called LLM Alignment Template, a comprehensive toolkit designed to help researchers, developers, and data scientists align large language models (LLMs) with human values using Reinforcement Learning from Human Feedback (RLHF). What the project does: Interactive Web Interface: Easily train models, visualize alignment metrics, and manage alignment with an accessible UI. Training with RLHF: Align models effectively to human preferences using feedback loops. Explainability: Built-in dashboards to help understand model behavior using SHAP-based explainability tools. Data Augmentation & Transfer Learning: Includes tools for advanced preprocessing and utilizes pre-trained models for improved performance. Scalable Deployment: Comes with Docker and Kubernetes setup to easily scale deployments. Key Features: Unit tests and E2E tests for quality assurance Monitoring and centralized logging using Prometheus and the ELK stack Docker and Kubernetes deployment options for easy setup Modular training scripts for data augmentation, fine-tuning, and RLHF Why it might be interesting: If you're looking to build an LLM solution and need a strong foundation, this template has all the core tools to get started. The project provides an end-to-end solution, from data augmentation to deployment, making it a great starting point for those interested in AI ethics and model alignment. https://bit.ly/3V6DsjA November 23, 2024 at 11:12AM

Show HN: Better Auth v1.0 is here https://bit.ly/4fYqk7X

Show HN: Better Auth v1.0 is here https://bit.ly/412EyR4 November 23, 2024 at 09:39AM

Show HN: ChessGPT https://bit.ly/4fEMyMI

Show HN: ChessGPT I made this quite a while back - but there seems to have been some interest in playing chess with ChatGPT again https://bit.ly/3AVBsDN You can paste you API key in, it all runs locally so should be pretty safe. November 23, 2024 at 12:26AM

Show HN: AI bot that automatically processes unstructured documents https://bit.ly/4eI1458

Show HN: AI bot that automatically processes unstructured documents Hi HN! We’re excited to share what we’ve been working on—a bot that automates the tedious task of processing unstructured documents from emails and entering them into ERPs. After many iterations, we’ve achieved 99.8% accuracy in extracting and mapping data from invoices, POs, and other documents. One surprising takeaway from this journey: building the AI was only 10% of the challenge! The real work came from handling edge cases, integrating seamlessly with various ERPs, and creating a reliable pipeline for real-world documents with messy formats. We’d love your feedback, thoughts, or questions about how we built this, the challenges we faced, or anything else. Let us know what you think! Thanks for checking it out! https://bit.ly/3OtoLDf November 23, 2024 at 02:20AM

Show HN: Llms.txt Generator – Turn websites into a text file to feed to any LLM https://bit.ly/3ZiXxWk

Show HN: Llms.txt Generator – Turn websites into a text file to feed to any LLM Hey HN! It’s Eric from Firecrawl ( https://bit.ly/4eI9IjK ). I just launched llms.txt Generator, a tool that transforms any website into a clean, structured text file optimized for feeding to LLMs. You can learn more about the standard at https://bit.ly/3Ziwc6J . Here’s how it works under the hood: 1. We use Firecrawl, our open-source scraper, to fetch the full site, handling JavaScript-heavy pages and complex structures. 2. The markdown content is parsed and then the title and description are extracted using GPT-4o-mini. 3. The everything is combined and the result is a lightweight llms.txt file that you can paste into any LLM. Let me know what you think! https://bit.ly/3V3thw8 November 21, 2024 at 08:33PM

Show HN: I built a real professional network because was sick of following/DMing https://bit.ly/3V5dCMG

Show HN: I built a real professional network because was sick of following/DMing Hey everyone, I have been doing Indie Hacking for almost 2 years. I was sick of following people on social media or DMing and calling it networking. So, I built a network/platform where professionals meet with fellows via scheduled video calls. We as a community believe that this is a better way as an initial contact than follows and direct messages. Our platform is open for free, early access, currently. Feel free to check us out at https://bit.ly/3V5dDAe and if our mindsets match, you may join us at https://bit.ly/3YY8xHj Whom is it best for? It's perfect for entrepreneurs, indie hackers, developers, designers, social media marketers and more. Whether you're just starting out or looking to expand your network, you are welcome. What would be the gain? Strong network is our need as a member of the community. We need an audience for our products, clients for our services and professionals to hire them or make them hire us. First time meeting people in need would work much less than asking people already in our network that we build via more than just following each other or direct messages. And this is the network where you meet people face to face without immediate requests/needs. https://bit.ly/3Zfws6q November 22, 2024 at 04:40AM

Show HN: PDF2MD – Rust+Redis+ClickHouse+VLLM conversion pipeline for PDFs https://bit.ly/4fCXhaj

Show HN: PDF2MD – Rust+Redis+ClickHouse+VLLM conversion pipeline for PDFs If you just want to use it, try here - https://bit.ly/4fBCowo . I think the LLM's are astoundingly good at converting complex powerpoint style infographics. I wouldn't normally think folks on HN would find this interesting as the general concept has been posted about already in the past few months. We were heavily inspired by Zerox[1]. However, the stack we went with was fun and over-engineered which is more likely to create interesting discussion. We use all the same tools at Trieve (our main product), but wanted to see if they would be a good fit for something that needed to get built in a tighter timeline and we think they were! Took us 2 weeks to get this setup end-to-end and it's by no means complete (see roadmap in linked README). However, it's cool that a relatively cookie cutter web service like this can be created with pure open-source dependencies and non-standard Rust tooling so quickly. Rust won't kill your startup! - Minijinja templates for the UI[2] - PDFObject for doc display in-browser[3] - actix/actix-web HTTP server framework[4] - Redis queue macro for worker async processing[5] - Clickhouse for task storage[6] - chm CLI to handle Clickhouse migrations[7] - MinIO S3 for object storage[8] [1]: https://bit.ly/3zRSvWH [2]: https://bit.ly/3CDcytc [3]: https://bit.ly/4fQaCMs [4]: https://bit.ly/4hSRpLE [5]: https://bit.ly/3Z45InU... [6]: https://bit.ly/4fEzabd [7]: https://bit.ly/4i33Lko [8]: https://bit.ly/4hTnD9P https://bit.ly/4hYYAC8 November 21, 2024 at 10:05PM

Show HN: Video editor app that generates FFmpeg commands https://bit.ly/3V4o3Af

Show HN: Video editor app that generates FFmpeg commands Hello Friends, I have built a new video editor app that generates ffmpeg commands to get the edited video. This gives you flexibility to use it in scripts etc. for your video editing workflows and makes editing tasks smooth by letting you visually adjust video elements that are difficult to adjust in commandline. Demo is here - https://www.youtube.com/watch?v=KSvazNBEfTc Link is here - https://bit.ly/3AUbIru Features are - video, image, text editing - adjustable timeline and layers - adjust position, size , alignment, font size color, borders etc. - quick info of image, video files - preview player to get the idea of edited video with play, pause, seek. Limitations are - Audio files(mp3) are currently not supported though audio inside mp4 will work - player is not frame accurate it just gives u close enough approximation. - file paths are not supported due to browser's security limitations. - I have only tested happy path so there would be many bugs but it should work for simple tasks Others - Completely free - No registration/login etc. - Works online does not requires any installation - Works offline after first load - Works locally does not requires server Background is i generally have one off video tasks and i don't mind using ffmpeg for it but recently i had to create a bunch of product videos and it was difficult to get text etc. right on commandline, i tried kdenlive and openshot as well but couldn't figure out how to something simple like adding a logo and text to it(i guess i am dumb) so i created this new app to suit my workflow https://bit.ly/3AUbIru November 21, 2024 at 07:13PM

Show HN: Convolution Solver and Visualizer https://bit.ly/4eIMkTr

Show HN: Convolution Solver and Visualizer I made this convolution solver and visualizer tool to help get the parameters right when doing Conv2D / Conv2DTranspose. It also allows you to visualize the convolution interactively. Open Source code on GitHub. https://bit.ly/4fWkBQd November 17, 2024 at 08:20AM

Show HN: We Open-Sourced Our Compost Monitoring Tech – Use It for Your Projects https://bit.ly/3OkfEVK

Show HN: We Open-Sourced Our Compost Monitoring Tech – Use It for Your Projects https://bit.ly/3AROxhq November 21, 2024 at 02:30AM

Show HN: Bike route planner that follows almost only official bike trails https://bit.ly/4eW8bah

Show HN: Bike route planner that follows almost only official bike trails Hey guys, I built a route planner that is mostly focused on bike touring and using existing bike infrastructure. For each request you're shown what bike tracks/trails your route uses and can further explore them by showing them on map or going to the official trail route. The main idea for the app is to have a friendly and easy to use planner that would make heavy use of official bike trails data (mainly from OpenStreetMap) and make it easy to plan a longer trip using the best possible bike routes out there. Currently the app only works for the Euro region but I'm planning to add North America very soon and then rest of the world. Technical overview: Route finding - Graphhopper sitting in a docker container on a Hetzner server somewhere in Germany. It has 38 GB of graph data(Europe) loaded into RAM for a fast graph traversal. Web App - Next.js 14 with Typescript, backend on the newest version of .NET Map tiles - right now I'm using MapTiler their free tier but planning to switch to my own home server soon and host the maps on it. https://bit.ly/3CEVuDd November 20, 2024 at 09:23PM

Show HN: DDoS Photon Cannon – A Toy DDoS https://bit.ly/3UZsegA

Show HN: DDoS Photon Cannon – A Toy DDoS Blog Post: https://bit.ly/4hSUqLX... https://bit.ly/3CEBL6z November 20, 2024 at 05:21AM

Show HN: Browser-based website builder powered by LLMs https://bit.ly/3CxhtvQ

Show HN: Browser-based website builder powered by LLMs I wanted to share what I've been working on - it's a AI site builder that runs in the browser powered by WebGPU and OnnxRuntime-Web. I have got the following all working to varying degrees: - text to code generation - image to code generation - microphone to text to code generation If you are on Mac for instance, it will interface directly with your GPU to power the LLM interface. It only requires downloading the models, and then everything after that is offline. It's not even close to as powerful as Claude or ChatGPT, but I like the idea of having the LLM run directly on your machine. I just did this for fun, but I am looking for a new role if anyone's hiring - https://bit.ly/3CxhuzU ! More technical insight: - I also got the Typescript / React app to compile itself in the browser via a service worker https://bit.ly/3Z0M1gS but took it offline due to some oddities with service workers. - A lot of the new speech models are a lot better than anything built into your phone / computer. I wonder when more computers will have them built in. - I added a CSP to the iframe only because I was worried about spamming sites since I update the iframe anytime a new token comes in. So if you have an image on the page it will get reloaded every time the iframe is updated. Otherwise there would be no reason for it. https://bit.ly/48VHWiJ November 19, 2024 at 09:24PM

Show HN: Serverless code execution, but for AI agents https://bit.ly/4hZCW0r

Show HN: Serverless code execution, but for AI agents https://bit.ly/40Ulkgk November 20, 2024 at 12:36AM

Show HN: City Finding Game https://bit.ly/3ZgUSeL

Show HN: City Finding Game https://bit.ly/3CwMVKH November 19, 2024 at 09:37AM

Show HN: Tailwind Box Shadow Generator https://bit.ly/3YUl5zp

Show HN: Tailwind Box Shadow Generator https://bit.ly/48WwCCO November 18, 2024 at 10:27PM

Show HN: Unfeed – A free RSS reader and bookmarking https://bit.ly/3US3RSc

Show HN: Unfeed – A free RSS reader and bookmarking https://bit.ly/3OcoWTp November 18, 2024 at 03:33AM