Show HN: AI Project Manager for Slack with Natural Language Superpowers https://bit.ly/4i4QBU9

Show HN: AI Project Manager for Slack with Natural Language Superpowers https://bit.ly/3XYDmwv November 27, 2024 at 03:03AM

Show HN: I created a lightweight JavaScript library to visualize JSON as a graph https://bit.ly/4fJPxDt

Show HN: I created a lightweight JavaScript library to visualize JSON as a graph https://bit.ly/3CN4t5d November 26, 2024 at 11:41PM

Show HN: A library of tree search algorithms for AI agents https://bit.ly/3VcTEjo

Show HN: A library of tree search algorithms for AI agents Hi HN, I built this to address what I see as the fundamental problem with ReAct-style agents: compounding errors. Even a small mistake made early enough in the loop can snowball and ruin the final output. But with search, agents can look multiple steps ahead and backtrack before committing to a particular trajectory. This has already been shown in a few papers to help agents avoid mistakes and boost overall task performance, but there's no easy way to actually build these kinds of agents. So that's why I made this framework. I believe search will eventually become table stakes for building agents as inference gets faster and cheaper, and this library is the first (and only) way to get that performance boost easily. – Jonathan https://bit.ly/4119Jwh November 26, 2024 at 03:20PM

Show HN: SQLite Plugin for Jekyll https://bit.ly/4fJ9Zo9

Show HN: SQLite Plugin for Jekyll I love Jekyll, especially the Datafiles[0] feature, which lets you use CSV/JSON/YAML files and iterate through them. Mixed with the Jekyll Data Pages generator[1], which lets you create a page for every row in your dataset, it is a very powerful combination. However, Liquid is a terrible language for data-mangling, and simple filtering/sorting/merging can become very annoying. So I wrote a Jekyll SQLite plugin that lets you use the same data interface in Jekyll/Liquid, but backed by a SQLite file(s). It gives you the simplicity of the Baked Data pattern[2], and the flexibility of using SQL for data-wrangling, within a static site generator. As a demo, I took the northwind dataset, and generated a site[3] with a few sample queries[4]. It demos both site-level, and page-level queries alongside data-pages generator to generate a page for every product/category/customer. I've been using this across a few sites in production for almost a year, looking for feedback on usage semantics and feature suggestions. [0]: https://bit.ly/49apxi1 [1]: https://bit.ly/3B0iVq0 [2]: https://bit.ly/3CGZSBI [3]: https://bit.ly/495dLWr [4]: https://bit.ly/3V9gU1G https://bit.ly/3AOx21J November 26, 2024 at 01:11PM

Show HN: I built our SEO workflow into a simple tool for small dev teams https://bit.ly/4fG2fmX

Show HN: I built our SEO workflow into a simple tool for small dev teams After using this SEO content generation workflow for 2 months, I spent a week turning it into a simple tool that's now publicly available. Postie [i]( https://bit.ly/4g0FI3R helps small dev teams create SEO-optimized blog content with minimal effort. Currently free and offering these features: - Project-based context awareness: It understands your project's background to maintain accuracy - Built-in keyword research: Data-driven SEO suggestions - Human-in-the-loop workflow: Not just AI generation, but proper review/edit cycles - MDX export: Direct integration with your existing tech stack - Batch generation: Create multiple posts in parallel Would love to hear any feedback! https://bit.ly/3ZnaZs8 November 26, 2024 at 05:36AM

Show HN: Table of Elements – Your strategic advantage in project management https://bit.ly/4fDIE6G

Show HN: Table of Elements – Your strategic advantage in project management https://bit.ly/4fFATx2 November 26, 2024 at 03:47AM

Show HN: I Built a Lightweight Nutrition Tracker for the iPhone https://bit.ly/4fDNcde

Show HN: I Built a Lightweight Nutrition Tracker for the iPhone Hey HN, I was overweight in college and started my weight loss journey using an app called MyFitnessPal. Tracking calories not only helped me lose weight but also taught me a lot about nutrition and helped establish healthy eating habits that continue to benefit me. However, I’ve always been frustrated by the existing nutrition tracking apps. Many are slow and bloated, lack accurate nutrition data, or don’t respect user privacy. I wanted to build something that I’d love using myself. A few things that make FitBee stand out: * Fast, lightweight and to the point - The app is just about tracking your nutrition and makes that front and center. I've tried to make things that you do often as simple as possible (e.g., log yesterday's breakfast). * Robust Apple Health support - You can read/write data to Apple Health. I wear an Apple Watch so it's great for getting the energy burned through exercises. * Accurate nutrition data - The nutrition data is sourced from the USDA dataset and nutrition labels off the packages. I also spent effort adding east asian foods (e.g. things you get at 99 Ranch or Weee) to the database, since those were hard to find/track in other apps I've tried. * Photo Logging - You can take a photo of a food and get an estimate of the calories and macros. It's not 100% accurate but it's been super helpful for me when eating at a restaurant that doesn't have published nutrition info. * Recipe importing - You can pretty much point any recipe at the app and it'll import the ingredients and generate nutrition information for you. As I got more into fitness, I started to cook more so this has been super helpful. * No Ads - The app is monetized via a subscription. * Subscription - Most of the features are free, but there are a few which require a monthly or annual subscription ($4.99/month or $39.99/year). You can try FitBee here: https://ift.tt/V1uocZJ . I'd love your feedback! https://apple.co/3V6Psla November 25, 2024 at 05:51AM

Show HN: Email Inbox for Bots https://bit.ly/4eJVsqL

Show HN: Email Inbox for Bots https://bit.ly/4i1853L November 24, 2024 at 05:20PM

Show HN: My weekend project to end Go/TypeScript boilerplate hell https://bit.ly/414alB8

Show HN: My weekend project to end Go/TypeScript boilerplate hell https://bit.ly/412WoDB November 24, 2024 at 10:54AM

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