Show HN: Web Audio Spring-Mass Synthesis https://ift.tt/0UlPEAy

Show HN: Web Audio Spring-Mass Synthesis Hi, I'm the author of this little Web Audio toy which does physical modeling synthesis using a simple spring-mass system. My current area of research is in sparse, event-based encodings of musical audio ( https://blog.cochlea.xyz/sparse-interpretable-audio-codec-pa... ). I'm very interested in decomposing audio signals into a description of the "system" (e.g., room, instrument, vocal tract, etc.) and a sparse "control signal" which describes how and when energy is injected into that system. This toy was a great way to start learning about physical modeling synthesis, which seems to be the next stop in my research journey. I was also pleasantly surprised at what's possible these days writing custom Audio Worklets! https://blog.cochlea.xyz/string.html March 15, 2025 at 02:57AM

Show HN: Psyllium, a Ruby Gem to make Fibers behave more like Threads https://ift.tt/kZtDHCf

Show HN: Psyllium, a Ruby Gem to make Fibers behave more like Threads Hi everyone! I created this small Ruby Gem to add some convenient methods to the Fiber class to make it easier to use in the same way a Thread object can be used. This was born out of my frustration that the current implementation of the Fiber class makes it difficult to retrieve the final value of a block passed to a Fiber, especially when creating a fiber via the `schedule` class method. I appreciate any feedback anyone has. https://ift.tt/djWysTY March 15, 2025 at 12:09AM

Show HN: OCR Benchmark Focusing on Automation https://ift.tt/UVXqyzC

Show HN: OCR Benchmark Focusing on Automation OCR/Document extraction field has seen lot of action recently with releases like Mixtral OCR, Andrew Ng's agentic document processing etc. Also there are several benchmarks for OCR, however all testing for something slightly different which make good comparison of models very hard. To give an example, some models like mixtral-ocr only try to convert a document to markdown format. You have to use another LLM on top of it to get the final result. Some VLM’s directly give structured information like key fields from documents like invoices, but you have to either add business rules on top of it or use some LLM as a judge kind of system to get sense of which output needs to be manually reviewed or can be taken as correct output. No benchmark attempts to measure the actual rate of automation you can achieve. We have tried to solve this problem with a benchmark that is only applicable for documents/usecases where you are looking for automation and its trying to measure that end to end automation level of different models or systems. We have collected a dataset that represents documents like invoices etc which are applicable in processes where automation is needed vs are more copilot in nature where you would need to chat with document. Also have annotated these documents and published the dataset and repo so it can be extended. Here is writeup: https://ift.tt/HYWFhLM Dataset: https://ift.tt/maULqoy Github: https://ift.tt/UsBieTE Looking for suggestions on how this benchmark can be improved further. https://ift.tt/HYWFhLM March 13, 2025 at 02:19AM

Show HN: Psychedelic animation generator; (p)art of your next trip https://ift.tt/imtNKw6

Show HN: Psychedelic animation generator; (p)art of your next trip Sharing an open source project for creating psychadelic art -- using liquid motion, distorted shapes, shadows and light. This tool works in real-time in the browser using webgl shaders. This project was inspired by drum & bass / acid techno music, and 90s rave posters. Use this to create art for a music video, concert posters, stylized animations in creative projects, or simply to enjoy alongside some fine music. Use the detailed control menu (top-right) to set a custom canvas size, adjust animation speed, control pattern and colours, etc... You can export your creation as an image or video afterwards. How this works: this tool uses WebGL shaders to create a real-time animation (with a trippy liquid / shadow / blur aesthetic). The animation is created using a random seed position and mixes in random noise (fractal brownian motion, 3D simplex noise), so each time you re-run it you're creating a unique piece of art. Github repo: https://ift.tt/4sz5p0n ----- I hope you enjoy the visuals. I'd love to hear any feedback or suggestions. https://ift.tt/7GUrySR March 14, 2025 at 04:56AM

Show HN: Bypass DEI Censorship https://ift.tt/W50v3Td

Show HN: Bypass DEI Censorship https://ift.tt/h6MGYP1 March 14, 2025 at 02:53AM

Show HN: Tinygym: RL in Tinygrad https://ift.tt/THy1eE4

Show HN: Tinygym: RL in Tinygrad Hi there, the repo speaks for itself. Feedback & questions are welcome https://ift.tt/mGX5Cgc March 13, 2025 at 11:31PM

Show HN: Simple Turn Servers for WebRTC – 5GB Free, $0.20/GB After https://ift.tt/XEeHrW9

Show HN: Simple Turn Servers for WebRTC – 5GB Free, $0.20/GB After https://turnwebrtc.com/ March 13, 2025 at 04:27AM

Show HN: CatCompass – An app for tracking stray cats https://ift.tt/yOsuli0

Show HN: CatCompass – An app for tracking stray cats https://catcompass.com March 13, 2025 at 03:40AM

Show HN: Time Portal – Get dropped into history, guess where you landed https://ift.tt/bNFEPC8

Show HN: Time Portal – Get dropped into history, guess where you landed Hi HN! I love imagining the past, so I made Time Portal, a game where you are dropped into a historical event and see AI video footage from that moment. You have to guess where you are in time and on the map. It’s like GeoGuessr (and heavily inspired by it!) but for historical events. The videos are all created with AI. It’s a pipeline of Flux (images), Kling (video), and mmaudio (audio). The videos aren’t always historically accurate to the last detail. They might incorporate elements of folklore or have details from popular beliefs about the way things looked rather than the latest academic research on how they looked. I’m thinking a lot about how to make the game more interactive. One thing that makes Geoguessr so fun for me is that you can move infinitely and always find more details to help you pinpoint the location. I want Time Portal to have a similar quality. I have a few ideas to try soon that will hopefully make the game more interactive and infinite. https://ift.tt/VSK6NTW March 13, 2025 at 01:53AM

Show HN: Daylight – track sunrise / sunset times in your terminal https://ift.tt/6OpYaN4

Show HN: Daylight – track sunrise / sunset times in your terminal https://ift.tt/Dgw8WHa March 9, 2025 at 05:51PM

Show HN: AI-powered root cause analysis with the Five Whys method https://ift.tt/KhWwTvk

Show HN: AI-powered root cause analysis with the Five Whys method https://ift.tt/ardsPuM March 12, 2025 at 07:16AM

Show HN: We built a Plug-in Home Battery for the 99.7% of us without Powerwalls https://ift.tt/LBGrnVc

Show HN: We built a Plug-in Home Battery for the 99.7% of us without Powerwalls Hi HN! I’m Cole Ashman, founder of Pila Energy. I’ve spent my career working on home energy systems—first as an engineer on Tesla’s Powerwall, where I focused on the Backup Gateway, Solar Inverter, and metering systems. More recently, I led Product at SPAN, where we built the Smart Electrical Panel and integrated with most major home solar, EV, and battery systems. Pila ( https://pila.energy/ ) is a home battery that plugs into a standard wall outlet, provides smart backup power, energy shifting, and grid services. It’s more than a power bank—it’s a distributed energy system that can scale across multiple rooms, entire buildings, and work together in real time as a coordinated system. We built Pila to be local first with an open API to allow developers to build use cases on top of our hardware (Home Assistant, etc). Big batteries like Tesla Powerwall and Enphase are great if you own a home and can afford a $10K+ electrical project, but they require permanent installation, electricians, and panel upgrades—which makes them inaccessible for renters, apartments, and cost-conscious homeowners. Over 50% of the cost of installing a Powerwall isn’t even the battery itself—it’s soft costs: labor, permitting, etc. We wanted to create an entry point for more people to access energy security at home. How does it work? Plug Pila into any 120V wall outlet, and power passes through to connected devices and appliances. The inverter, LFP battery, BMS, grid disconnection, controller, and wireless connectivity are all built in. (details at https://ift.tt/8MOVGFA ) When an outage happens, the onboard inverter detects the power loss within 20ms and automatically disconnects from the grid (islanding). Whether you’re home or away, backup kicks in instantly. A built-in cellular radio ensures you get a notification even if your home WiFi is out. Pila is 1.6kWh. That will backup a standard fridge for over a day. One key challenge we faced with a distributed architecture was coordination between batteries, for things like solar-following and managing real-time draw from your utility connection. Unlike large garage systems, where you can run a wired CAN bus, our batteries are spread across the home. We’re solving this with a sub-GHz wireless mesh network—self-healing, coordinator-less, and designed to make setup and expansion as simple as plugging in another unit. Long-term, we’d love to open up this protocol to provide a more reliable communication layer for energy products in noisy built environments—reducing reliance on consumer Wi-Fi. We want to deliver the value you’d expect from a whole-home battery like Powerwall, in a plug-in format. That means going beyond a basic lead acid UPS with real home energy management, useful insights about power use, power larger loads like sump pumps, and even deliver grid services. Most portable batteries are missing the functionality that makes a home battery useful: no bidirectional power, no integration with solar or smart home systems, and no ability to manage home energy dynamically. They tend to be boxy, ruggedized, meant to be moved around, not seamlessly integrated into your living space. On top of that, many use e-mobility battery chemistries, which are great for delivering high power on demand but wear out faster when cycled daily for home energy use. As a renter myself, I started Pila because these awesome energy products aren’t accessible enough. And frankly, generators are loud, expensive, and a pain to deal with. Even many Powerwall owners I’ve talked to say they really care about keeping the fridge, WiFi, and a sump pump running—so why does energy resilience have to be so complicated and expensive? As the grid struggles to keep up with demand, we believe modular, renter-friendly batteries can make home energy resilience more accessible. What's been your experience with home batteries? What recent power outages have you had, and how were you affected? https://pilaenergy.com March 11, 2025 at 09:18PM

Show HN: Seven39, a social media app that is only open for 3 hours every evening https://ift.tt/oG0Y5Sb

Show HN: Seven39, a social media app that is only open for 3 hours every evening I built this site as a quick test if a time boxed social media experience feels better than an endless one. So far I've just been using it with friends and it feels nice, but it seems like it is time to bring it to a larger audience. Let me know what you think! It is just based on EST for now, sorry. https://www.seven39.com March 11, 2025 at 06:35AM

Show HN: Hot Design – Like Hot Reload, but a Runtime Visual Designer https://ift.tt/JsGporW

Show HN: Hot Design – Like Hot Reload, but a Runtime Visual Designer Hi HN, Nick here, from the open-source Uno Platform team. You are likely familiar with Hot Reload , pioneered by Flutter. We’ve taken that concept further and built Hot Design , let me introduce it to you. Architecturally, Hot Design idea is simple: 1. In your IDE, pause the live, running app at runtime, turning it into a designer. 2. Modify the UI directly on the designer —add elements, adjust layouts, tweak bindings etc. 3. Resume the app without restarting or losing state. We built Hot Design to address the frustration of slow iteration cycles when building and tweaking UI or debugging data bindings in apps targeting multiple platforms. Here’s a detailed explanation and a video of Hot Design in action: https://ift.tt/BxAPM91 I can see potential criticism: It will get killed by AI, it’s another abstraction over code, it is .NET etc. Happy to respond to those comments if they come; we put a lot of thought into Hot Design and would love to hear it challenged! Nick https://ift.tt/BxAPM91 March 11, 2025 at 07:40AM

Show HN: Chrome Extension for ChatGPT to organize conversations into folders https://ift.tt/fHV5lAX

Show HN: Chrome Extension for ChatGPT to organize conversations into folders Hi HN, I'm Alex, a full-stack developer from Toronto, Canada. I recently built a Chrome extension that organizes ChatGPT conversations into folders, allowing users to sort and save important information for easy reference. The idea for this extension came from a friend who highlighted the lack of good (and affordable) ChatGPT organizers. Many existing tools were either low-quality or overpriced, so I decided to create one that was both reliable and accessible. I built the extension using plain JavaScript and developed a backend with Express to handle Google authentication. For storage, I used MongoDB, enabling all users with an account to save their folder structures and conversation data. Initially, I planned to charge $5 per month to cover costs since originally this extension was intended as a portfolio project addressing a real-world problem. However, just as I finished the main functionality and was about to implement payments, ChatGPT announced an official feature similar to one my extension was providing. Rather than continue competing in a market with an "official" solution, I decided to stop development. But I didn't want my work to go to waste, so I chose to release it for free, motivated by a desire to share it with the community. I made some changes to eliminate the backend. Now the extension stores all folder structures and content locally in Chrome storage. Luckily, I had some old code to reuse for this. The extension is now live on the Chrome Web Store. This project introduced me to a lot of new challenges with technologies I hadn’t used before, but I’m grateful for the experience and the skills I gained along the way. I hope you find it useful! Links to the extension and its website: https://ift.tt/cgGKEzn... https://ift.tt/2w5heYB If you have any questions or suggestions, feel free to reach out in the comments or via email at georgepozdman@gmail.com. https://ift.tt/2w5heYB March 11, 2025 at 04:41AM

Show HN: I built a Figma plugin for quick data calculations https://ift.tt/3H4DiP7

Show HN: I built a Figma plugin for quick data calculations I lead design on a B2B SaaS product. It's quite data-heavy in places. Using placeholder content in data tables, checkout summaries and dashboards is a big no-no for us. It might seem like using random numbers saves time at first, but sooner or later there's documentation to write and plenty of clarifications to be made. It throws off customers during interviews – "hey, that's not really my sales target!". It confuses stakeholders at review time– "what's this data point supposed to be?" I built a Figma calculator plugin for my team so that they spend less time doing mental maths. It calculates sums, differences averages and percentages, and makes it easy to use real-looking data in designs. https://ift.tt/TM158L0 March 10, 2025 at 07:11PM

Show HN: I built a free SVG Web site https://ift.tt/hTLIUPK

Show HN: I built a free SVG Web site This has been an experiment to see if I could create everything using scripts and AI. If AI couldn't do it I'd get it to create the code such as API calls and so on. This websvg.com site was completely created using these AI tools. Including the DNS being applied, the Cloudflare Pages were automatically set up and the the web site was a Svelte 5 application generated by v0.dev and Cursor. Every image was generated in Midjourney and converted to SVG. I have now taken all of these scripts and can create a similar landing or directory site in less than a minute, provided I have the data. Anyway it's been fun. https://websvg.com/ March 10, 2025 at 01:50AM

Show HN: Buildless CJS+ESM+TS+Importmaps for the Browser https://ift.tt/0olzJYp

Show HN: Buildless CJS+ESM+TS+Importmaps for the Browser https://ift.tt/zQX8HnF March 10, 2025 at 12:42AM

Show HN: Evolving Agents Framework https://ift.tt/RnC5Z1w

Show HN: Evolving Agents Framework Hey HN, I've been working on an open-source framework for creating AI agents that evolve, communicate, and collaborate to solve complex tasks. The Evolving Agents Framework allows agents to: Reuse, evolve, or create new agents dynamically based on semantic similarity Communicate and delegate tasks to other specialized agents Continuously improve by learning from past executions Define workflows in YAML, making it easy to orchestrate agent interactions Search for relevant tools and agents using OpenAI embeddings Support multiple AI frameworks (BeeAI, etc.) Current Status & Roadmap This is still a draft and a proof of concept (POC). Right now, I’m focused on validating it in real-world scenarios to refine and improve it. Next week, I'm adding a new feature to make it useful for distributed multi-agent systems. This will allow agents to work across different environments, improving scalability and coordination. Why? Most agent-based AI frameworks today require manual orchestration. This project takes a different approach by allowing agents to decide and adapt based on the task at hand. Instead of always creating new agents, it determines if existing ones can be reused or evolved. Example Use Case: Let’s say you need an invoice analysis agent. Instead of manually configuring one, our framework: Checks if a similar agent exists (e.g., a document analyzer) Decides whether to reuse, evolve, or create a new agent Runs the best agent and returns the extracted information Here's a simple example in Python: import asyncio from evolving_agents.smart_library.smart_library import SmartLibrary from evolving_agents.core.llm_service import LLMService from evolving_agents.core.system_agent import SystemAgent async def main(): library = SmartLibrary("agent_library.json") llm = LLMService(provider="openai", model="gpt-4o") system = SystemAgent(library, llm) result = await system.decide_and_act( request="I need an agent that can analyze invoices and extract the total amount", domain="document_processing", record_type="AGENT" ) print(f"Decision: {result['action']}") # 'reuse', 'evolve', or 'create' print(f"Agent: {result['record']['name']}") if __name__ == "__main__": asyncio.run(main()) Next Steps Validating in real-world use cases and improving agent evolution strategies Adding distributed multi-agent support for better scalability Full integration with BeeAI Agent Communication Protocol (ACP) Better visualization tools for debugging Would love feedback from the HN community! What features would you like to see? Repo: https://ift.tt/T0C5E1Q https://ift.tt/T0C5E1Q March 9, 2025 at 10:21PM

Show HN: Math expressions and graph traversals of the Chinese language https://ift.tt/4QkEmHf

Show HN: Math expressions and graph traversals of the Chinese language I've been working on a free Chinese language learning tool for awhile now. The main insight is that Chinese characters are used together to form words, and that this allows for a way of quickly getting information about related words and characters. By learning words and characters in a chain in this way, I've found it easier not to get lost in the long list of characters. In addition, I've found it helpful to break down characters into their components to find pronunciation clues, which can sometimes be hidden in components of components. The math feature uses a similar tree traversal mechanism to allow expressions like 酒-氵+各 = 酪 or 亻+寸+广+仌+⺆ = 腐. As it's 2025, it also has some AI features. Notably: * allowlisted users can get Chinese or English text explanations that span more than just a word, but that integrate with the other features, like flashcard creation and in-browser text-to-speech. * files and images (using the browser's `capture` mechanism to operate cameras) can also be processed similarly. * example sentences were generated and cached using AI The site is a PWA built with vanilla JS (because I like pain), with Cytoscape and D3 for various rendering tasks. The backend was built with Firebase, with Genkit + Gemini 2.0 providing the AI integration. Feel free to check it out: https://hanzigraph.com https://ift.tt/qQRf0Kc March 9, 2025 at 12:30AM