Show HN: Dut, a fast Linux disk usage calculator "dut" is a disk usage calculator that I wrote a couple months ago in C. It is multi-threaded, making it one of the fastest such programs. It beats normal "du" in all cases, and beats all other similar programs when Linux's caches are warm (so, not on the first run). I wrote "dut" as a challenge to beat similar programs that I used a lot, namely pdu[1] and dust[2]. "dut" displays a tree of the biggest things under your current directory, and it also shows the size of hard-links under each directory as well. The hard-link tallying was inspired by ncdu[3], but I don't like how unintuitive the readout is. Anyone have ideas for a better format? There's installation instructions in the README. dut is a single source file, so you only need to download it and copy-paste the compiler command, and then copy somewhere on your path like /usr/local/bin. I went through a few different approaches writing it, and you can see most of them in the git history. At the core of the program is a datastructure that holds the directories that still need to be traversed, and binary heaps to hold statted files and directories. I had started off using C++ std::queues with mutexes, but the performance was awful, so I took it as a learning opportunity and wrote all the datastructures from scratch. That was the hardest part of the program to get right. These are the other techniques I used to improve performance: * Using fstatat(2) with the parent directory's fd instead of lstat(2) with an absolute path. (10-15% performance increase) * Using statx(2) instead of fstatat. (perf showed fstatat running statx code in the kernel). (10% performance increase) * Using getdents(2) to get directory contents instead of opendir/readdir/closedir. (also around 10%) * Limiting inter-thread communication. I originally had fs-traversal results accumulated in a shared binary heap, but giving each thread a binary-heap and then merging them all at the end was faster. I couldn't find any information online about fstatat and statx being significantly faster than plain old stat, so maybe this info will help someone in the future. [1]: https://ift.tt/tMQW3fh [2]: https://ift.tt/Z7Dmf2a [3]: https://ift.tt/9vcLSaH , see "Shared Links" https://ift.tt/ijXBb7U July 11, 2024 at 04:59AM
Show HN: Open-source tool that writes Nvidia Triton Inference Glue code for you Triton Co-Pilot: A quick way to write glue code to make deploying with NVIDIA Triton Inference Server easier. It's a cool CLI tool that we created as part of an internal team hackathon. Earlier, deploying a model to Triton was very tough. You had to navigate through the documentation for the Python backend, figure out how to get your inputs and outputs right, write a bunch of glue code, create a config.pbtxt file with all the correct parameters, and then package everything up. It could easily take a couple of hours. But with Triton Co-Pilot, all that hassle is gone. Now, you just write your model logic, run a command, and Triton Co-Pilot does the rest. It automatically generates everything you need, uses AI models to configure inputs and outputs, and handles all the tedious parts. You get your Docker container ready to go in seconds. Check out our GitHub repository and see how much easier deploying to Triton can be! It would be great if you folks try it out and see if it works for you. reply https://ift.tt/ay3nwMP July 11, 2024 at 04:24AM
Show HN: Sentinel-1 Explorer App Simplifies Access to SAR Imagery Bringing together the ready-to-use Sentinel-1 RTC imagery from Living Atlas, and core capabilities via the ArcGIS Maps SDK for JavaScript, Sentinel-1 Explorer aims to help democratize SAR imagery for Earth science and observation. https://ift.tt/YGVluLK July 10, 2024 at 10:16PM
Show HN: I made a SaaS landing page for those who hate CSS shit Are you tired & bored of making a landing page for your new business/SaaS? With our boilerplate, you can make a stunning page exactly like this one and launch quick AF. Focus on your idea and let us handle the looks https://ift.tt/vnkux3K July 9, 2024 at 10:51PM
Show HN: I coded my own JSON translation tool to easily localize my side project Hi HN, I’m Joan, the developer of Quicklang. I made this app to easily translate and keep in sync all my localization JSON files for my side projects. While searching online for a similar tool, I only found enterprise solutions that do not allow direct editing of JSON files. I used to use ChatGPT to translate the JSON translation file changes before coding Quicklang. However, I realized that ChatGPT only allows you to input short content for translation into another language (even if you provide a .json file), and each time I had to request translations for one language at a time. So, I decided to build an app that only sends the changes I’ve made to the OpenAI API and easily translates them into all the target languages for my side projects. Technical details: I used Next.js to build the front end and backend, and I use a custom VPS (EC2 instance) on AWS to handle the translation process. This is because the translation can take several minutes, and Vercel Functions time out after 10 seconds by default (up to 60 seconds on the Hobby plan). Finally, I save the translation files in an S3 bucket. What’s next? I want to add cool features like change history, the capability to add context to the OpenAI API to make translations as accurate as possible, and maybe allow developers to interact with the API in order to use the tool. Let me know your thoughts and feedback. It’s been a blast working on this so far, and I think it’s just neat :) https://ift.tt/5QMChlX July 8, 2024 at 11:16PM
Show HN: Imageprompt.io – AI-powered and human-curated artworks, logos, photos ImagePrompt.io is a constantly growing collection of AI-generated content for artists, designers and everyone in need of great images. Includes stock photos for presentations and website, artworks for prints and wallpapers and logos for your next business. https://imageprompt.io/ July 8, 2024 at 12:33AM
Show HN: A modern Jupyter client for macOS I love Jupyter – it's how I learned to code back when I was working as a scientist. But I was always frustrated that there wasn't a simple and elegant app that I could use with my Mac. I made do by wrapping JupyterLab in a chrome app, and then more recently switching to VS Code to make use of Copilot. I've always craved a more focused and lighter-weight experience when working in a notebook. That's why I created Satyrn. It starts up really fast (faster time-to-execution than VS Code or JupyterLab), you can launch notebooks right from the Finder, and the design is super minimalist. It's got an OpenAI integration (use your own API key) for multi-cell generation with your notebook as context (I'll add other LLMs soon). And many more useful features like a virtual environment management UI, Black code formatting, and easy image/table copy buttons. Full disclosure: it's built with Electron. I originally wrote it in Swift but couldn't get the editor experience to where I wanted it. Now it supports autocomplete, multi-cursor editing, and moving the cursor between cells just like you'd expect from JupyterLab or VS Code. Satyrn sits on top of the jupyter-server, so it works with all your existing python kernels, Jupyter configuration, and ipynb files. It only works with local files at the moment, but I'm planning to extend it to support remote servers as well. I'm an indie developer, and I will try to monetize at some point, but it's free while in alpha. If you're interested, please try it out! I'd love your feedback in the comments, or you can contact me at jack-at-satyrn-dot-app. https://satyrn.app/ July 7, 2024 at 11:29PM
Show HN: MetaShunt – high dynamic range current measurement development tool Develop and validate your ultra- low power and IoT electronics devices with ease with MetaShunt. Optimize wakeup cycles and deep sleep power consumption. Open source Python interface for expandability. Performance and capability similar to Otii Arc and Joulescope for 1/10 of the cost. https://ift.tt/yKrJE2f July 6, 2024 at 09:08PM
Show HN: Foorr – A minimal to-do app with social accountability I've created Foorr, a minimal to-do list app that focuses on short-term getting-things-done and the option to do this with friends by holding each other accountable and helping each other grow together. Main goal is to fuel your progress whatever needs to be done and hold yourself accountable for your own progress (with some external motivation). Here's what it does: - Create tasks for today and tomorrow only (real hyperfocus on short term GTD). - Invite friends to cheer each other moving forward. - Building up a daily streak as you finish all tasks daily. All tasks completed before midnight which were planned for that day, earns you a level up. Rewarding that sense of completion. Why I built it: I used physical post-it notes and was a bit done with it. I really wanted something minimal focusing only on my to-do's for today and tomorrow. No bloated features, nothing to fancy/polished, just something no-nonsense I wanted to use myself. It might be useful for others who struggle with procrastination and keeping op progress getting things actually done. Feedback is definitely welcome and nice to hear if this resonates with anyone else. https://foorr.com/ July 5, 2024 at 01:44AM
Show HN: Mutahunter – LLMs to support mutating testing for all major languages Background: We were inspired by how aider.chat was making use of pageranked AST and realized that we can use this to power high quality mutation testing using LLMs. Check it out! https://ift.tt/Hv46sUn July 3, 2024 at 01:40AM
Show HN: Pug, a TUI for Terraform Pug is a full screen terminal user interface for terraform. I wanted a tool that could scale terraform without leaving the terminal. There are plenty of SaaS products (terraform cloud, etc), and yes there is terragrunt but its interface is sorely lacking. I want logs to be organized and easily accessible. I also wanted to view and manage state resources at scale without endlessly rattling out `terraform state ...` commands. Pug provides all this in one small binary. You can fire off 1000s of terraform plans and applies and see their output in real-time. All the common terraform commands are supported. State is automatically refreshed following changes. You can swap out terraform for opentofu or terragrunt. In future Pug could be taken beyond a single-user, single-machine app. Processes could be launched on kubernetes, teams could share and approve plans, pull requests managed automatically, real-time updates relayed from other users etc. The end-to-end infrastructure deployment workflow would be possible without leaving the terminal. https://ift.tt/pzPfUm2 https://ift.tt/pzPfUm2 July 3, 2024 at 12:18AM
Show HN: I built sales API, Stripe Atlas closed me My Co-founder and I have spent the last three months developing customsalesapi.com, a platform designed to automate sales and lead generation processes. Essentially, we streamline everything you'd typically do with Apollo by describing your company to our AI. If you're interested, I'd be thrilled to have you as one of our early clients. Please let me know if you'd like more information. Few days ago, we used Stripe Atlas to create our company, and right after company is created, stripe closed our account (account id is acct_1PMyxBIbdJ0fozrG). I went to asking help from many groups but I saw this exact same thing is happening everywhere July 2, 2024 at 01:00AM
Show HN: I've built a child monitoring app with mitmproxy and WireGuard Hi! I've been working on a child monitoring service and I'd really appreciate your input on it. The structure of the service is pretty technically interesting. It sets up a wireguard VPN on the child's Windows account, and then routes the traffic to our server. From there, we use mitmproxy to break open the TLS, inspect the packets, and then re-encrypt them. Currently all images are passed through an ImageNetV2 model, and for sites like reddit or google, individual links/communities are analyzed and we remove the content if it violates the filters without impacting the overall browsing experience. Coming soon(ish) will be a 8B uncensored llama3 model, which will allow parents to create custom filters for filtering content. I've always felt like child monitoring systems are missing the bigger picture when it comes to content filtering. I certainly remember being a little kid (9-ish) and coming across adult content I shouldn't have been seeing, but I also recall encountering subreddits and other online groups that laid the groundwork for my personality, without my parent ever knowing what was happening. The fact that as a child, I declared I no longer believed in God before I stopped believing in Santa was not the result of being some super genius, but because I was regurgitating what I read on r/atheism as gospel. Parents need more control over what their kids see, and as the internet develops more mature communities child filters need to keep up. It is not enough to simply hope your kid turns out normal, because there are companies actively working against you. The service is $20 a month, although it's 50% off for the first two months while we're in early access. We also only do Windows at the moment, although I'd like to expand (especially to linux) later this year. Let me know what you think! https://ift.tt/O816Vyj June 30, 2024 at 10:44PM
Show HN: AI Rapper Online – Generate Personalized Rap Songs with AI We’re excited to share AI Rapper Online, a revolutionary platform that allows you to create personalized rap songs using advanced AI technology. Whether you’re an aspiring rapper, a music enthusiast, or just curious about AI's potential in music creation, our platform offers a unique and fun experience. Features include: Rap Generator: Input themes, styles, and keywords to create unique rap songs. AI Rapper Online: Generate full rap albums with custom cover art. https://airapper.online June 30, 2024 at 09:26AM
Show HN: I built a create-your-own-story interactive novel that runs with GPT I built this project around a year ago, but I didn't really publicize it a lot. I do play with it every now and then and figured I should share it with you guys because I enjoyed it and hopefully you will as well. https://ift.tt/FVS8umR June 30, 2024 at 10:00AM
Show HN: I am building an open-source Confluence and Notion alternative Hello HN, I am building Docmost, an open-source collaborative wiki and documentation software. It is an open-source alternative to Confluence and Notion. I have been working on it for the past 12 months. This is the first public release (beta). The rich-text editor has support for real-time collaboration, LaTex, inline comments, tables, and callouts to name a few. Features - Collaborative real-time editor - Spaces (Teamspace) - User permissions - Groups - Comments - Page history - Nested pages - Search - File attachments You can find screenshots of the product on the website. Website: https://docmost.com Github: https://ift.tt/Iz0jSZu Documentation: https://ift.tt/VfYOqG4 I would love to hear your feedback. Thank you. https://ift.tt/Iz0jSZu June 29, 2024 at 10:57PM
Show HN: Tool to grow your Threads following by crossposting your tweets If you’re active on Twitter and want to build up your Threads presence, this tool that I am building might help What it'll do: * Automatically copy and post your tweets to Threads using the approved APIs. * Super easy to set up and use https://crosspo.st Please join the waitlist / comment here if interested. Thanks https://crosspo.st June 28, 2024 at 11:13PM
Show HN: Pass in data to Visa and cut your credit card fee by 50% Here's how your business can save up to 50% on credit card fees. Credit card interchange fees are expensive. These fees are what the credit card networks like Visa and Mastercard charge the merchant (you) whenever your customer swipes their card. Stripe or your payment processor passes these fees onto you. To incentivize data collection, Visa and Mastercard lower your fees whenever you pass in transaction data like zipcode, sales tax amount, invoice amount, customer address, itemized purchased services or goods, and the list goes on. This is called L2 and L3 data, and you can pass this into Stripe (or your payment processor) to lower your credit card fees. Parsing invoices manually to provide L2/L3 data to Visa is a pain. But with Trellis, you can do this automatically within seconds for any invoice. Watch how we do it here: https://ift.tt/6nmUCHz... If you’re a business and you accept credit cards, you can cut your credit card processing fee in half. https://ift.tt/sAQpfFb June 28, 2024 at 02:30AM
Show HN: Dorkly: Open Source Feature Flags Dorkly is a free open source Feature Flag backend for LaunchDarkly SDKs. It uses simple yaml files stored in GitHub as the source of truth. Full disclosure: made by a former LaunchDarkly employee + current fan. https://ift.tt/6VQbrUC June 26, 2024 at 10:58AM
Show HN: I built an indie, browser-based MMORPG I've been working on an MMORPG that is now in alpha as a solo developer. Here are the major open source technologies that I use: Blender - 3D modeling software for creating the overall environment and every game object. I've gotten a lot of CC and Public Domain assets from https://poly.pizza GLTF - I export assets from blender to the GLTF asset format JSON - I write a JSON config for every game object that describes things like its name, its interactions, its collisions, etc. Node.js exporter - I iterate over the environment and every asset to create a scene hierarchy. I use gltf-transform for processing all GLTF files, compressing them, removing redundancies, etc. Node.js server - Uses express and socket.io to process game state updates. It keeps track of every client's game state and issues delta's at each game tick (currently 600ms). The client can send interactions with different objects. The server validates those and updates the game state accordingly. HTML/CSS/JavaScript/Three.js client - I use regular web technologies for the UI elements and three.js for the 3D rending on the browser. The client is responsible for rending the world state and providing the client with different interactions. All code is written in JavaScript which means less context switching. Performance seems to be good enough, and I figure I can always optimize the server code in C++ if necessary. I am currently running two cheap shared instances but based on my testing, they can likely support about 200 users each. This is a low-poly browser based game so it should be compatible across many devices. The data a user needs to download to play, including all 3d assets, is approximately 2 MB, even though there are hundreds of assets. Overall, it's been a fun project. Web development and open source software have progressed to the point that this is no longer an incredibly difficult feat. I feel like development is going pretty well and in a year or so there will be plenty of good content to play. https://ift.tt/t5qKpkb June 26, 2024 at 11:23PM
Show HN: Voice bots with 500ms response times Last year when GPT-4 was released I started making lots of little voice + LLM experiments. Voice interfaces are fun; there are several interesting new problem spaces to explore. I'm convinced that voice is going to be a bigger and bigger part of how we all interact with generative AI. But one thing that's hard, today, is building voice bots that respond as quickly as humans do in conversation. A 500ms voice-to-voice response time is just barely possible with today's AI models. You can get down to 500ms if you: host transcription, LLM inference, and voice generation all together in one place; are careful about how you route and pipeline all the data; and the gods of both wifi and vram caching smile on you. Here's a demo of a 500ms-capable voice bot, plus a container you can deploy to run it yourself on an A10/A100/H100 if you want to: https://ift.tt/gva2oRE We've been collecting lots of metrics. Here are typical numbers (in milliseconds) for all the easily measurable parts of the voice-to-voice response cycle. macOS mic input 40 opus encoding 30 network stack and transit 10 packet handling 2 jitter buffer 40 opus decoding 30 transcription and endpointing 200 llm ttfb 100 sentence aggregation 100 tts ttfb 80 opus encoding 30 packet handling 2 network stack and transit 10 jitter buffer 40 opus decoding 30 macOS speaker output 15 ---------------------------------- total ms 759 Everything in AI is changing all the time. LLMs with native audio input and output capabilities will likely make it easier to build fast-responding voice bots soon. But for the moment, I think this is the fastest possible approach/tech stack. https://ift.tt/gva2oRE June 27, 2024 at 03:21AM
Show HN: The Tomb of Nefertari [QV 66] Guided Virtual Tour I 3d scanned the Tomb of Nefertari and am building this guided virtual tour, trying to bring in photogrammetry of artifacts that I've made at various museums. It crashes sometimes still on mobile devices. I wasn't able to take photogrammetry photos of the artifacts from the tomb in the Museo Egizio in Turin because they were traveling while I was there (and now the museum is closed to install a new roof anyhow), so I tried to include comparanda from other museums where I had scanned artifacts. I tested the same dataset with 3d Gaussian Splatting but that had lower resolution results for great complexity in frontend code and reduced performance on older devices. [3DGS tour: https://ift.tt/u5wpmcP... ] Moving forward, if anyone's working on the same idea, I didn't find a good path to monetization through web-based 3d content, so I'll take the high resolution photogrammetry of spaces into Unreal and switch to desktop and headset builds. For the distribution advantage of web-based 3d content, I'm hoping to test next a desktop or VR build that may be easier to sell to sustain my work. https://ift.tt/PGDw13t June 25, 2024 at 08:18PM
Show HN: AI-Generated Tables for a Steampunk City I recently embarked on a creative experiment where I used ChatGPT to craft an elaborate steampunk story. Inspired by the rich narrative and intricate details, I decided to transform various parts of the story into demo tables, complete with text and images using https://tabulator.ai/ . The goal was to explore how AI can aid in the creative process and provide indie game developers and storytellers with some ideas quickly. https://ift.tt/RXhYxwy June 25, 2024 at 02:34PM
Show HN: Qq: like jq, but can transcode between many formats qq is jq inspired interoperable config format transcoder with interactive querying. It features an optional interactive editor with autocomplete for structured data. And supports inputs and outputs for json, xml, ini, toml, yaml, hcl, tf, and csv to varying degrees of capability. https://ift.tt/pRTIaCq June 25, 2024 at 04:14AM
Show HN: Sandcastle – a minimal, lightweight build tool and shell automator Automate your repetitive build tasks and terminal commands with Sandcastle. Built in Go. I'm a solo student developer - I'm open to contribution to build this into something that everyone can and will want to use. https://ift.tt/jflxaeY June 25, 2024 at 12:16AM
Show HN: Tsellm: Interactive SQLite shell with LLM support Hello HN, While browsing the Python docs yesterday, I discovered that the latest 3.12 version has added support for a `python3 -m sqlite3` interactive shell. I looked into the source code, and its implementation was simple, giving me an idea: Why not hook the beautiful llm library by simonw into such an interactive shell, and thus have direct LLM support in SQLite? Without writing a C extension, build a shared object and all that fuss. Well, now you can `pip install tsellm` and do just that. demo gif: https://ift.tt/eFWpk4q... https://ift.tt/6DBGpK9 June 23, 2024 at 11:45PM
Show HN: Online OPML editor to manage subscription lists I made a small online editor to manage OPML[1] files easily. There are a lot of smart online editors for formats like JSON, but while OPML is supported by most subscriptions services, the experience of editing/managing it is poor outside of what each platform support. The pain of managing the file independently increases as the size of the OPML file grow larger. It's rather simple at the moment but the goal is to provide shortcuts for common desired tasks to make the experience of editing OPML much smoother and streamlined. The editor is a static website that runs locally in your browser, it doesn't require an account, nor do any tracking. Let me know your feedback or if you've any pain points around OPML GitHub repo: https://ift.tt/3SYMkof Website: https://ift.tt/7dLrj39 [1] - https://ift.tt/a698Xqi https://ift.tt/3SYMkof June 21, 2024 at 06:43PM
Show HN: Feedback on Sketch Colourisation Hi I am looking for some feedback on our new project "Sketch Colourisation". The envisioned UI and objectives are -- * An artist should have greater control on how to colour a sketch. While a text-to-image model lacks this fine-grained control, a per-pixel colourisation pipeline makes sketch colourisation a laborious process with high-entry barrier. * What if an artist only draws a mask for a local region and specifies the colour palette for that local region? Then a neural network figures out how to colour the overall sketch -- while maintaining those local colour palette. [I would really like a feedback if the above UI (i.e., mask and local colour palette) makes sense to users/designers. As researchers, we often have the wrong idea of what is desired by end-users.] * On the exact implementation of the above concept, we designed a no-training based neural network framework -- and also make sure it runs on a Nvidia 4090. In other words, I will try to avoid any expensive training or inference -- which defeats the purpose of being useful to people (not just some research labs). * Note, I am not so bothered about the exact implementation (or whether it is "novel") -- as long as it is useful. * A shameless advertisement: The codebase ( https://ift.tt/9n0Bg4S ) is MIT License. It is no way near to being useful to people -- but I would really like to pursue this direction and your feedback/criticism will be immensely helpful. Thanks https://ift.tt/FgQIcT7 June 22, 2024 at 05:03PM
Show HN: I made tool that let's you see everything about any website Yes, it's open source: https://ift.tt/JxNzGDP :) Why I'm building this? There are a lot of tools out there for discovering meta and security data relating to a website, IP or server. But currently, there isn't anything that does everything, all in one place and without a paywall/ user sign up. It's still a WIP, and I'm working on a new version, with some more comprehensive checks, so any feedback would be much appreciated :) https://v1.web-check.xyz/ June 22, 2024 at 04:13PM
Show HN: Synapse – TypeScript Toolchain for Cloud Apps Hey all, I've been working on a developer tool based on my experiences with working on cloud applications. What I've created is basically Node.js + TypeScript + Terraform all combined into a single tool, Synapse. I like to think of Synapse as a "compiler for distributed systems", though it can also be used as a build tool for any JavaScript/TypeScript app. In fact, Synapse is built with Synapse! I recently open-sourced the bulk of the codebase, but a lot of work is still needed to make it easy to contribute. If anyone is able to try it out and give me feedback, it would be hugely appreciated! There's not many documented features at the moment, but I think what I have now is at least enough to get a basic idea of what Synapse can do. https://ift.tt/XKRVtCQ June 22, 2024 at 03:51AM
Show HN: I made a demo for my project management tool Hey Hackers, Last time I posted alot of the comments were asking about the posibility for a demo and maybe more reasoning on why someone should use the service. I have tried to implement some more things into the basic tier so that out of the box, the service is more unique with its use of AI. Anyway, there is now some new AI features as well and I've improved the existing features to ensure they have the right level of accuracy and creativity. Enjoy, Dan https://ift.tt/U7Ee4zl June 22, 2024 at 03:37AM
Show HN: AI Data Analyst Hey HN, Michael and Alexey from Narrative BI here. Background We've been working on Natural Language Query tools for quite some time. Back in the pre-LLM era, we launched a natural language to SQL startup called FriendlyData. It was later acquired by Service now where we integrated it into the Now Intelligence platform. Then we started Narrative BI with the thesis that business users like marketers don't always know how to ask data questions, so our goal was to build a product where data insights are generated proactively, before users even ask questions. Evolution The general dynamics of Generative AI going mainstream created an interesting opportunity. We still believe that the future of BI lies in proactive analytics and easy data integrations. However, with increased AI awareness, we've seen a lot of interest from our users in natural language capabilities, so we decided to take it to the next level. Why don't just use ChatGPT? The problem with ChatGPT and other chat-based LLM tools that they hallucinate a lot. ChatGPT answers look plausible so most of users don't bother to verify if the answers match the actual data. However our research shows that ChatGPT hallucination rate is 47% for more or less complex data sets, such as Google Search Console data, for example. For business data analysis accuracy is the key as wrong answers can lead to misinformed decisions. Another limitation is data integration. AI data analyst comes with pre-built data integrations, so you can easily connect your data sources such as GA4, Google Ads, Google Search Console, FB Ads, Hubspot and Salesforce. More data sources coming soon and we're also doing custom integrations for enterprise. We're here to answer your questions and look forward to your feedback! https://ift.tt/juCrdag June 21, 2024 at 12:30AM
Show HN: Billard – Generate music from ball collisions in 2D space Hello HN! Here's Billard. It combines music and physics into a unique creative tool, as I explore various unconventional methods for generating music. Most traditional music composition tools revolve around the idea of a repeatable pattern. Billard is a webapp that never repeats itself. It generates music automatically based on the collisions of balls in a 2D space. Collisions trigger notes (or chords) in a given key. One can add balls or move them (y-position is pitch); the app remembers its state between reloads; or it can be reset with the 'init' button on the top left. Gravity can be adjusted in real time to change the behavior of the balls. It owes a lot of inspiration to Brian Eno and Erik Satie (inventor of musique d'ameublement , or "furniture music"). Some may think the lack of pattern makes it not musical enough -- but this lets it be listened to —and watched— for a while without boredom. The webapp is made using plain JavaScript. (All SVG icons were made 'by hand'.) It uses Tone.js only for triggering piano samples. Beyond piano, it's MIDI-enabled and works well at slow speed with haunting, dark synth sounds. Hope you like it! https://ift.tt/H1Pxibr June 18, 2024 at 10:15PM
Show HN: Token price calculator for 400+ LLMs Hey HN! Tokencost is a utility library for estimating LLM costs. There are hundreds of different models now, and they all have their own pricing schemes. It’s difficult to keep up with the pricing changes, and it’s even more difficult to estimate how much your prompts and completions will cost until you see the bill. Tokencost works by counting the number of tokens in prompt and completion messages and multiplying that number by the corresponding model cost. Under the hood, it’s really just a simple cost dictionary and some utility functions for getting the prices right. It also accounts for different tokenizers and float precision errors. Surprisingly, most model providers don't actually report how much you spend until your bills arrive. We built Tokencost internally at AgentOps to help users track agent spend, and we decided to open source it to help developers avoid nasty bills. https://ift.tt/aOHfM5p June 18, 2024 at 01:14AM
Show HN: ThreadQuilt: AI-Free Thread Aggregator Hey HN, I've been working on a project called ThreadQuilt, and I'm excited to share it with you all. ThreadQuilt is a community discussion aggregator that brings together the best threads from various forums and platforms into one convenient place. Whether you're interested in programming, tech trends, or just want to stay updated on niche topics, ThreadQuilt helps you find and follow the most relevant conversations without the clutter of AI-generated content. It's all about real human discussions, curated for quality and relevance. I built ThreadQuilt because I was tired of wading through endless noise to find meaningful discussions. With ThreadQuilt, you get a cleaner, more focused experience that highlights the best parts of the web's conversations. Check it out and let me know what you think! Your feedback would mean the world to me as I continue to improve and expand the site. Happy threading! https://ift.tt/AcWOuqI June 18, 2024 at 01:13AM
Show HN: Papermusic (draw an instrument, then play it) This was a fun experiment to try PaliGemma (open vision-language model). I found that PaliGemma performed better than Gemini Flash for this type of specific image task, especially around latency. (~0.9 seconds for PaliGemma inference on a VM, vs. 3-4 seconds for Gemini Flash.) Would love feedback on ways to potentially improve this setup. https://ift.tt/ogRQnBf June 17, 2024 at 09:56PM
Show HN: b2v.xyz – Protection against impersonation attacks Hi HN, I’m the founder of https://b2v.xyz , a service that protects organizations against impersonation attacks. The problem I’m trying to solve stems from the following observation: while end-user authentication methods are becoming more advanced as cybersecurity evolves, organizations aren't experiencing the same improvements when we reverse the roles, i.e. when organizations authenticate themselves to their users. This imbalance leaves a gap in secure communications that B2V aims to close. Bad actors have countless ways to pose as trusted entities — through phishing, smishing, vishing, and more. These catchy terms may sound trendy, but the technology to combat them often lags behind. While some larger companies do offer some customised solutions such as in-app notifications, most approaches are still reactive, such as updating email filters after an attack is detected or requesting takedowns of fake domains long after the damage is done. It's surprising that more proactive measures aren't in place, especially considering the serious consequences of these impersonation attacks. How B2V tackles this problem: - Mutual authentication: During critical communications, an organization can initiate an authentication session and share it with a user via a unique URL. When the user opens it, the organization provides a one-time password that the user can verify. These single-use ephemeral sessions also protect against man-in-the-middle attacks, ensuring that the person you're communicating with is truly who they claim to be. This could also be described as *conversational authentication*. - Digital signatures: Prove the authenticity and integrity of information linked to your organization with public-key cryptography. This is especially useful for verifying that text or links posted on platforms/media outside of your control — such as job boards, paper invoices, forums, or messages — truly come from a trusted entity. For example here's the signature of this post's URL: https://b2v.xyz/b2v_/XHEbx8NdqjTF50?s=https://news.ycombinator.com/item?id=40699265 - Verified online identities: Organizations can link their online identities, similarly to the way Keybase does it. For instance, here's the proof of ownership of this HN account: https://b2v.xyz/b2v_/NMiMMr9KWov6oE?s=hn:b2v - Privacy by design: this system respects your privacy by never tracking or storing plaintext identifying information, only digests and signatures. - For deeper integrations, an API is also available. Could this be useful for machine-to-human or machine-to-machine communications, such as chatbots or multi-agent LLMs? Any feedback would be greatly appreciated, especially about my assumptions! Feel free to check out the docs ( https://docs.b2v.xyz ) and ask me anything. Thanks! https://get.b2v.xyz/ June 17, 2024 at 12:33AM
Show HN: Alpha Demo of NotePad.ai (open source) Hi all, I threw together a small prototype I am calling “Notepad.ai”. A new take on UIs for interacting with LLMs. While I enjoy using LLM’s in the chat format I wanted to see what it would be like to do it in a more long form style. It let’s you write in a pretty free form, much like Window’s Notepad, but you can choose to hit ctrl+[ to analyze the text with a preset prompt of your choosing. It has a few other small features. It’s WIP and very experimental. I would appreciate any feedback or thoughts. Video: https://youtu.be/ntdlgFmSxQY Live Demo: https://ift.tt/lTxe7au Github repo: https://ift.tt/7kgGJib More of my Projects: https://ift.tt/18ABCJc Have a great rest of your weekend! https://ift.tt/R7Jy4mg June 16, 2024 at 04:45AM
Show HN: We Made The World's Smallest and Cheapest Network Switch Hello, we're Max and Byran from MUREX Robotics, a high school robotics team from Exeter, New Hampshire. We are super proud to have made this open source piece of technology! I hope you like it. https://ift.tt/Up0VsKD June 16, 2024 at 07:56AM
Show HN: Collate multiple PDFs into one with cover and automatic TOC collatepdf is a quick-and-dirty Python script I wrote for my own needs to collate multiple PDFs into one (essentially for printing purposes) with the following features: * an optional cover page, * automatic table of contents generation with global page numbering, * automatic page resizing to ensure all pages in the collated PDF have the same dimensions, * an overlay bar on each page with the current file name and global page number. This is alpha-quality software (no tests, minimal documentation etc). Use at your own risks. Hope some will find it useful! https://ift.tt/GJgLTCe June 15, 2024 at 10:29PM
Show HN: I Made a Project Management Software for Freelancers After about 2 months of coding and many late nights I just finished building this simple project management tool that I designed to be specifically for freelancers. Tell me what you think, I am trying to get better at building with NextJS, thank you for any feedback. There is a 10 day free trial if you want to buy it outright. I made this as I didn't like the other tools out there and thought about how the tool could be specialised for freelancers. https://ift.tt/XBpgU7S June 16, 2024 at 12:05AM
Show HN: Summarize Trending GH Repos in Terminal or Browser Hey HN, I built a tool that fetches the daily trending GitHub repositories and uses GPT-4o to generate useful, detailed markdown-style summaries. The app then offers to render them in the terminal itself or as HTML, which is then opened your default web browser. I'm neither a trained programmer nor a computer science student, but I'm a geek nonetheless and had fun building this, so I wanted to share. Maybe it doesn't save anyone any time, but again, I had fun building it. Cheers! https://ift.tt/OGWg9K5 June 15, 2024 at 06:53AM
Show HN: 100% open-source voice assistant – as a HAL9000 It started in 2018 with my first 3D printer and some openscad designs - just something that looks like a HAL9000 (and had a controlled red LED for the visuals) - it ended up being a full software-project...that hasn't ended yet. But: it is at a (quality-)point at which I am OK with putting it up on stage. My project goals: A digital voice-assistant that is... - actually usable (response times, error rates, ...) - performs everything on-device ("look ma, no cloud") - is entirely Free/Libre Open-Source-Software - is as-easy-as-possible to build I consider all four goals to be accomplished even at this ~90% stage of the project. If you just want to get some quick impressions, check out the "Demos" (video-)page in the github wiki (prominently linked in the README in the github repo). If you want to spend some more time on this, it's probably easiest to watch my presentation at Hackaday Europe from two months ago: https://www.youtube.com/watch?v=oqJCU8FRMQg&t=14761s https://ift.tt/xpUOhdX June 15, 2024 at 05:57AM
Show HN: Paramount – Human Evals of AI Customer Support Hey HN, Hakim here from Fini (YC S22), a startup focused on providing automated customer support bots for enterprises that have a high volume of support requests. Today, one of the largest use cases of LLMs is for the purpose of automating support. As the space has evolved over the past year, there has subsequently been a need for evaluations of LLM outputs - and a sea of LLM Evals packages have been released. "LLM evals" refer to the evaluation of large language models, assessing how well these AI systems understand and generate human-like text. These packages have recently relied on "automatic evals," where algorithms (usually another LLM) automatically test and score AI responses without human intervention. In our day to day work, we have found that Automatic Evals are not enough to get the required 95% accuracy for our Enterprise customers. Automatic Evals are efficient, but still often miss nuances that only human expertise can catch. Automatic Evals can never replace the feedback of a trained human who is deeply knowledgeable on an organization's latest product releases, knowledgebase, policies and support issues. The key to solve this is to stop ignoring the business side of the problem, and start involving knowledgeable experts in the evaluation process. That is why we are releasing Paramount - an Open Source package which incorporates human feedback directly into the evaluation process. By simplifying the step of gathering feedback, ML Engineers can pinpoint and fix accuracy issues (prompts, knowledgebase issues) much faster. Paramount provides a framework for recording LLM function outputs (ground truth data) and facilitates human agent evaluations through a simple UI, reducing the time to identify and correct errors. Developers can integrate Paramount with a Python decorator that logs LLM interactions into a database, followed by a straightforward UI for expert review. This process aids the debugging and validation phase of launching accurate support bots. We'd love to hear what you think! https://ift.tt/v2FDetK June 13, 2024 at 11:50PM
Show HN: XDeck – An ad-blocking client app for macOS, like TweetDeck Hi everyone, XDeck is an client app for macOS as a TweetDeck alternative, with Ad-Blocking! I developed this for myself after feeling disappointed that TweetDeck has become a paid service. I hope you find it useful too. https://ift.tt/Lhxg5C8 June 13, 2024 at 09:21PM
Show HN: Dive into Deep Work–Your Oasis, Your Way Elevate your productivity with Oasis, the AI-powered ambiance generator. Customize your workspace with notes, timers, focus music, and sounds—all tailored to your liking. Create the perfect environment for deep focus and creativity. Try it for free and discover how unique your background can be! https://ift.tt/LUC67Qp June 13, 2024 at 05:56PM
Show HN: A keyboard-centric clipboard history app for macOS Hey HN, As a Software Engineer, I frequently copy and paste content. The fact that macOS clipboard buffer can keep only one item is very frustrating. It’s very annoying to copy → switch app → paste → switch app → copy → switch app → paste, and so on. Losing items I copied hours ago and having to find and copy them again is a waste of time. I tried many third-party clipboard managers like Alfred, Raycast, Paste, Maccy, etc. While great, they didn't fully meet my needs. As a developer, my requirements are: 1. Keyboard-centric operation to avoid using the mouse. I don’t want to waste my time moving my hands from the keyboard. 2. Display many clipboard history items at once. I don’t like the idea with big tiles, so I can see only 5-7 history items on my 32” monitor. 3. Full content preview for each clipboard item. 4. Quick search functionality. So, I created ClipBook for my own use. After months of development, daily use, and positive feedback from my colleagues, I decided to share it publicly. It’s free. All data is securely stored on your computer. I’m planning to make it open source as well. If you try it out, please let me know if you found it useful, if you have anything you’d like me to add, or if you have any other feedback. Happy to answer any questions. Much appreciated. https://clipbook.app/ June 11, 2024 at 10:10PM
Show HN: Summarize Anything, Forget Nothing You likely forget 90% of the content you consume within a week. I built Recall to fix this. Recall summarizes online content, connects it in a knowledge graph and resurfaces it on a schedule tailored to your learning curve helping you remember the information you care about. https://ift.tt/HUSACwZ June 11, 2024 at 03:35AM
Show HN: Using the djb2 hash to map IP addresses to readable words for the lulz Hi HN, This is more or less a fun experiment that I thought was worth sharing. Using Daniel J. Bernstein's [1] djb2 hash that he made when he was only 20 years old in 1991, we map names to hashes and provide reverse mappings using an english word list from dwyl [2]. You can see it here: https://ift.tt/3YZrBV8 Hamon (ハモン not 刃文) is derived from HAsh MOdulo Name. I hope you like it [3]! [1] The Cypherpunk Super Hero, https://cr.yp.to/ [2] https://github.com/dwyl [3] Probably minimal real life use cases. ¯\_(ツ)_/¯ June 10, 2024 at 05:53AM
Show HN: I Build an AI-Powered API That Instantly Obtains Website Information I built SiteProfile(siteprofile.io) to simplify how we access detailed website information. The main feature of SiteProfile is that you can obtain all relevant website information with a single, simple API call. With one API call, you can immediately get the following information: 1.Real-time Webpage Screenshots Instantly capture real-time screenshots in both PC or Mobile views. 2. AI-Generated Content: Generate content based on user prompts and website data, e.g. Describe the core functions of this website. 3.Comprehensive Website Info: Social Media Links, Contact Info, Basic Details, and Assets, all in one place. With just this API, you can instantly create an ai directory or similar website. SiteProfile is currently in the testing phase. During this period, all subscriptions are discounted. There are still a few minor issues, and I’m working hard to fix them. If you try it out, please let me know if you found it useful, if you have anything you’d like me to add, or if you have any other feedback. And if you have any questions, I’d be happy to answer. Much appreciated. https://siteprofile.io/ June 10, 2024 at 06:47AM
Show HN: I built a site to track your buy it for life items Hey HN, I've been on a mission to buy higher quality, sustainable products, especially when replacing things I use frequently. To better understand the value of these items, I built a site to track how often I use them. Here is my list so far: https://ift.tt/c9ZlLEx Feel free to sign up and share the items that have served you well! https://ift.tt/tVkh7TC You can also generate a sharable link for X (Twitter), complete with an open-graph image of your stats. Example: https://ift.tt/TMrKGX5 If there's interest, I have plenty of ideas to improve the site. With enough data, I aim to create lists of the best BIFL (Buy It For Life) items in various categories. Check it out and let me know what you think! https://ift.tt/gE56873 June 9, 2024 at 04:52AM
Show HN: I wrote a partial re-implementation of DirectMusic DirectMusic[1] is a deprecated Windows API for playing dynamic music scores authored using DirectMusic Producer[2]. It was originally released as part of DirectX in 1999 and discontinued with the release in Windows Vista around 2009-ish. Due to my involvement with projects[3] re-implementing an old game engine for the early 2000's games Gothic and Gothic II[4], I came to notice that existing solutions[5] were incorrect and hard to use. Thus, I was tasked with writing a new, correct re-implementation of the API. Today, my re-implementation is able to (mostly) play back so-called style-based segments[6] and is fully tested against both the Gothic and Gothic II soundtracks. I am actively working on getting the Lego Island 2 soundtrack working as well. There are many features of DirectMusic which the library does not currently support, simply because I have not been able to find or test soundtracks using them, so if you want to contribute, I'd love to know about software shipping with DirectMusic soundtracks! [1]: https://ift.tt/pzSuXfk [2]: https://ift.tt/R85vckn... [3]: Specifically GothicVR ( https://ift.tt/WYMwB6X ) and OpenGothic ( https://ift.tt/mgASDWM ) through my ZenKit library ( https://ift.tt/tEnjTYV ) [4]: https://ift.tt/ZspnmBI [5]: There is libdmusic ( https://ift.tt/QGCw2Ac ) which is unmaintained and an embedded implementation in OpenGothic ( https://ift.tt/mgASDWM ) [6]: https://ift.tt/c5LNVRE... https://ift.tt/IO5pX6C June 8, 2024 at 03:32PM
Show HN: I built job search platform for Architects Hi HN, I started my solopreneur journey this year and I’d like to share something I’ve been working on: ArchGee - a job search platform for architects, interior designers, urban planners, and other professionals in the architecture field. Coming from an IT background, I’ve seen plenty of job boards for IT roles. However, my architect friends often struggle to find job opportunities specific to their unique skills. Archgee is designed to fill this gap. It’s tailored exclusively for the architecture community, making it easier to find relevant opportunities. At first I am planning to integrate jobs from other search platforms (jobs that are relevant to architecture), then partnering with industry companies to ensure high-quality job posts and aim to create a supportive space for networking and growth. I’m here to seek your thoughts and feedback. Mirza June 9, 2024 at 12:40AM
Show HN: A Small BitNet GPT in MLX For those of us nerds who like to tinker with language models, I thought of sharing an example ipynb that shows how to build a small gpt (kudos to @karpathy for teaching us minGPT) where you replace the nn.Linear layer with a BitLinear layers as introduced in the paper on 1.58 bit LLMs https://ift.tt/uWw6c9t https://ift.tt/sXl8K6m June 9, 2024 at 01:38AM
Show HN: Scipress.io – a Markdown writing platform like Notion Medium MkDocs Scipress is a writing platform with VS code editor built into the browser. It lets you make beautiful blog posts and programming docs with Markdown. Scipress supports code blocks with syntax highlighting, Katex, Tailwind CSS, images & videos, admonitions, popovers, blur screens, private posts, and a bunch of other cool stuff. You can also monetize via paywalls, if you want. I started this project almost a year ago to the date. This is my first time posting about it on HN. And if you're curious, I have made $0 from this project (but not for lack of trying). https://ift.tt/3TbgDSO June 7, 2024 at 07:42PM
Show HN: I created this land use visualisation for the Netherlands Last weekend, I tried creating an original visualization of something on many minds in my home country the Netherlands: land use. Much of our discussion revolves around land use—housing crisis, sustainable farming, solar energy—it's all about the land. To illustrate this, I created a map where each hexagon represents 0.06% (26,647 hectares) of land in the Netherlands. The color indicates the type of land use. https://ift.tt/UTMGiCa June 6, 2024 at 10:32PM
Show HN: A website that tailors your resume for each job you apply for Hey HN, I'm excited to share a project I've been working on for the past few months. As someone who has spent countless hours tweaking my resume for different job applications, I wanted to find a way to make this process more efficient and effective. So, I built a website that tailors your resume for each job you apply for. You can check it out here: https://resume.ink Looking forward to your thoughts! Cheers, Sami https://resume.ink June 6, 2024 at 12:37AM
Show HN: I built a tool to A/B test promotions to maximize conversions Hey HN, I've just begun my solopreneur journey. I've been a "serial starter" - often starting projects and never seeing them through, and I have finally finished my first project! Maybe this sentiment resonants with some of you, let me know in the comments below I built this tool as a simple no-risk method for turning more visitors into customers by A/B testing your sale promotions and automatically displaying the promotion with the highest conversion rate. Did you know that increasing your conversion rate by just half a percent can have a dramatic impact on your sales without needing to increase your traffic? Consider the following example for a $20 product on your website: To earn $1M in sales with a 2.5% conversion rate you would need: 2M visitors. To earn $1M in sales with a 3.0% conversion rate you would need: 1.66M visitors. What do you think is an easier way to get to $1M in sales: Attracting ~ 400K new visitors? Or raising your conversion rate by 0.5%? I hope some of you find this product useful, I would love your feedback! - Xylo https://ift.tt/cSDj3Y5 June 6, 2024 at 12:15AM
Show HN: Auto-matching and optimized carpooling for groups How it works: - Organizer creates an event and shares the link to it - People sign up as riders or drivers - 48 hours prior to event, everyone gets a text message asking to confirm. - 24 hours prior to event, the optimized carpooling routes are created. Right now drivers are limited to a max route of 30 mins long, will be more flexible soon. Everyone is messaged their route details, related rider/driver details, and drivers get a google maps route link to navigate. Demo vid: https://www.youtube.com/watch?v=ToVn8tVQ0cc Frontend repo: https://ift.tt/MHLivYE Backend repo: https://ift.tt/1y6VrgT https://www.antride.ca/ June 5, 2024 at 12:02AM
Show HN: Hexbase – Find colors based on perceived difference I created this tool to help choose and remix colors with precision. Input reference colors, adjust their weights, and get suggestions as similar or different as you need. Differences are calculated using the CIE ΔE* metric. One use case could be finding a primary brand color aligned with your brand values but distinct from competitors. Thanks for taking a look! I hope it sparks some ideas. It’d be great to hear thoughts & feedback. https://ift.tt/eVciuGC June 3, 2024 at 09:04PM
Show HN: Open-source WeTransfer alternative that runs everywhere OwnShare is an open-source filesharing software that can be used as a self hosted WeTransfer alternative that can be run on any PHP Environment like a simple, cheap WebSpace. It uses php and static built SvelteKit. https://ift.tt/j5Z0hRH June 3, 2024 at 01:04AM
Show HN: Generate PCB Footprints from text using AI Hi HN! This is a little project to generate PCB footprints from text descriptions. It works by teaching an LLM a compressed DSL representation for footprints. I think this is generally a good technique if you're trying to get LLMs to work on spatial problems. Right now I'm focused on reproducing footprint shapes, but after that I'll benchmark the correctness of the footprints using % overlap on known package descriptions, as well as a kicad_mod export I built this because I realized I needed to use AI to help tscircuit catch up to the decades of electronic design tool progress that I'm not able to utilize (as an MIT-licensed, Typescript project) Source code here: https://ift.tt/5TrRnu1 Feedback/critical opinions appreciated! https://ift.tt/2gQRxPT June 2, 2024 at 12:50AM
Show HN: Chess Twist I continue my experiment of transposing classic games onto an irregular grid. I've previously released variants of minesweeper and checkers. And now I'd like to share my variant of Chess. Chess can be a pretty punishing game, but I thought this was nevertheless a way to make it even more challenging by making it trickier to anticipate your opponent, even though both players still have the same information. From the playtests I've done, that challenge is pretty compelling. It also seems to be more fun at 2 people, where both players keep surprising one another. https://ift.tt/fs4jBNC June 1, 2024 at 02:11AM
Show HN: Every mountain, building and tree shadow mapped for any date and time I've been working on this project for about 4 years. It began as terrain only because world wide elevation data was publicly available. I then added buildings from OpenStreetMap (crowd sourced) and more recently from Overture Maps data. Some computer vision/machine learning advancements [1] in the past few years have made it possible to estimate tree canopy heights using satellite imagery alone making it possible to finally add trees to the map. The data isn't perfect, but it's within +/- 3 meters of so. Good enough to give a general idea for any location on Earth. Happy to answer any questions. [1] https://ift.tt/cX9F8Qu https://shademap.app May 31, 2024 at 01:40AM
Show HN: I made an open-source Replit I spent the past few weeks making an open source cloud code editing environment with an AI copilot and multiplayer collaboration! It's fully self-hostable in 5-10 minutes. There's a lot of minor improvements to be made, and some are already listed in the Github issues. Let me know what you think and feel free to try it out. https://ift.tt/NKIO27M May 31, 2024 at 07:07AM
Show HN: I've build my RFID poker table for less than $300 I started my own side hustle building a smart poker table At this stage, I have a working prototype that can generate an overlay with player's and pot cards percentages, hand history, video editing, and more Here's a demo video: https://www.youtube.com/watch?v=5QU8MC7q8FQ https://ift.tt/Gxmu98s May 31, 2024 at 02:03AM
Show HN: Brisk a complete CI system is now Open Source Brisk is a complete CI system that runs your test suite in seconds. The main speedup over standard CI systems (think CircleCI or Github Actions) is that we maintain your test environments and don't rebuild them on each test run. This allows you to scale up your workers without just scaling up the build time on each test run. Brisk can be run from your local dev environment (the command line or VS Code) allowing your to access the speed of many servers from your local machine or it can be run as part of a traditional CI/CD pipeline (in Github actions etc). I've been working on Brisk for the last few years and I've decided to open source the project. You can now run your own super fast CI service on your own hardware or in your own cloud. https://ift.tt/QCwzkX9 https://ift.tt/I1X50Jn May 30, 2024 at 04:46AM
Show HN: ThreadPay: WeTransfer for money – a medium for money transfers Often cross-border bank transfers default to 3-5 business days, on the other side P2P fintechs need signup, KYC, and other steps. I built an app that eliminates the need to open an account or go through long verifications, allowing users to send money immediately. How? Via Visa and Mastercard card-to-card real-time transfers, money can be sent straight to a card using the card number only, without the requirement for IBAN, Swift Code, or any extra routing data. *Link to MVP*: [ https://app.threadpay.io](https://app.threadpay.io/) *Link to Memo with demo recordings*: https://ift.tt/1v2KFL9 *Link to Landing page*: [ https://threadpay.io](https://threadpay.io/) https://ift.tt/d1T8oUw May 29, 2024 at 05:28AM
Show HN: A New Kind of Chat Room I’ve developed an application that reimagines chat rooms by integrating them with a world map. Each user can claim a rectangular piece of land on the map, referred to as a "banner." Users within close proximity are grouped into a chat room by the app. The banner’s size can expand or shrink based on the density of users in the area and the number of coins in the user’s account. Key Features: Real-World Interaction Model: Users are pseudo-anonymous, akin to real-world interactions. Coin balance determines user size and visibility ("stature"), while endorsements and other activities form a unique endorsement chart, serving as a digital representation. This allows for interaction without revealing one’s entire social or professional network. Community Clusters: Users can form open communities based on real-world locations. New users can discover and join these clusters via heatmaps, without needing specific URLs or hashtags. Initial Coins: New users start with 1000 coins. These coins can be used to endorse other users' content, earning stakes in the endorsed banner. When others endorse that banner, the original endorser gains more coins. This endorsement economy is experimental, and could eventually involve crypto tokens. Useful Points: Banner Interactions: Clicking on a banner opens it fully. A button with a chart icon on the top right flips the banner to display the activity chart. Compatibility: The application currently works best on Google Chrome. Heatmap View: Zooming out on the map reveals a heatmap of banners. Side Panel Tabs: First Tab: Displays a feed of content from the visible map area. Second Tab: Contains the cluster chat. Current User Base: At the moment, only my friends and family are using the application, so banners are predominantly found in the Chicago area. For more details, refer to the white paper provided. I’m excited to share this application and look forward to your feedback! https://beescribe.com/ May 28, 2024 at 09:37AM
Show HN: Get paid to do your own ML research I'm launching an experimental research grant that I call Cat's grant (I'll find a better name later). tldr: - you get paid to do your own research and report to me - you keep IP/ownership rights - 10 months duration - choose a grant size of $10k, $50k or $100k total (paid in monthly chunks) - Apply by sending an email to not_a_cat@fastmail.com How it works: You specify the grant size when applying: 10k, 50k and 100k. This total amount will be distributed over a period of 10 months. I will review each application within 1 week. The deadline to apply is June 9. The start date is flexible and can be the start of June, July, August or September. The total budget I will allocate to this is around 100-200k I haven't yet made a proper contract reviewed by lawyers. If interest is strong enough, I will do it and try hard to keep the spirit of what is said here. The contract will be under Swiss law. Rationale: I get to meet cool people, promote and follow cool research. You get to do the research you want with little red tape (I'll be the sole decision maker for applications. Paperwork will be done with the help of other people). Application process: You choose the grant size you apply for. You can apply to multiple ones at the same time. Then, you may be accepted for one grant option or rejected for all. The process has 3 stages: - Email application - First screening call - Second call with more in-depth questions If you complete the 3 steps, you are accepted in the grant program. Reporting requirements: You are expected to produce the following: - A weekly email report that can be as short as a single sentence (meant as a pulse that you are still here) - A monthly research update that has to be public, in the format you want (github file, blog post…) - Do a monthly call with me, discussing the monthly research update Payment schedule: One payment of 10% of the total amount will be made at the end of each month while the grant is active. The grant may be canceled if the reporting and effort is insufficient. The bar for this will be reasonably low. Effort and time spent will be considered good enough for keeping the Grant active. Research directions: You are free to decide what topic to research. Reading and studying during the research is considered normal. I will try to be helpful and suggest research directions and ideas. I will only consider applications in the domains of Machine Learning, Deep Learning and AI broadly speaking. With a preference for topics related to the following: - LLMs and Transformer architectures - Mechanistic interpretability - World models - Self play / synthetic data - Probabilistic programming Copyright and IP rights: The research remains your intellectual property. You can use it and commercialise it as if you produced it independently of the grant. Time commitment: You are expected to spend at least 50% of your working time on research related to the grant. You may have other commitments at the same time, as long as you can free up enough time. Selection criteria: - How excited I am about the research you want to do - Whether I believe you can make good progress on it - Intrinsic motivation and strong determination How to apply: Send an email to not_a_cat at fastmail com with the following: - Subject: "Application for Cat's Grant [10k, 50k, 100k]". Only keep the grant size(s) that you actually apply for, eg [50k] or [10k, 50k]. - Info about yourself, please include links to github/linkedin and/or resume - Recent projects/research you've done if any - Outline of the research you want to do as part of the grant. It's ok if you only have a vague idea, but better if you have something specific. It can be new or existing research. - Anything else you think is relevant. Evidence of strong capability is a plus, even if unrelated to ML research. Happy to answer questions or comments. May 27, 2024 at 08:24PM
Show HN: Blue Noise – Interactive Explanation of Void and Cluster Algorithm After reading about the generation of blue noise here on HN a few times my goal was to implement my own variant of the the Cluster and Void algorithm in the most straight-foward way possible, while also visualizing each step. (JavaScript is required in order to step through the algorithm) Most other Blue Noise generator implementations are optimized for speed. Many explanations of the Cluster and Void algorithm I found online were overly complicated or focusing on details that do no help the initial understanding. My implementation is optimized for readability and understanding. I find it very inspiring see an algorithm broken down to its most essential steps. For one in order to better understand the algorithm itself but also for transfering its key concepts to other tasks, for example when designing my own algorithms. Eg in my rather high level python/numpy implementation one can easily understand that the two phases of the algorithm (phase 2 and phase 3) have no data dependency between each other and can therefor be parallelized. Additionally the numpy implementation demonstrates how the application of high level concepts like rank-polymorphism and convolution allow to express a sophisticated algorithm in only a few lines of code. Hope you like it. https://ift.tt/npoiUCS May 28, 2024 at 03:37AM
Show HN: Meal planning – without the mental load TLDR; I applied the concept of "don't make me think" to the task of selecting meals, and assembling the shopping list for your grocery run. The basic idea for what I wanted is very simple: Rather than making a shopping list, I wanted to create a re-usable 'meal', with a list of ingredients I'd need to add to my shopping list to make that meal. Then, after selecting meals for the week I'd have a quick 'check' step, where I'm prompted to check the cupboard for each ingredient, before it's added to the shopping list (ie: I'll need ground beef to make tacos, but I already HAVE ground beef in the freezer). I originally built this out just for myself, but the result has been such a helpful and stress-free experience that I thought others might appreciate it as well. I think this tool could be well-suited for younger folks that are new to the labour of meal-planning. College students, newlyweds, and families with young children. You can try it out without needing to register or provide any personal information, and I'd love your feedback! https://supperstock.ca/ May 28, 2024 at 12:34AM
Show HN: I generated API documentation for all Java packages Hi HN! I'm excited to share a project I've been working on for the past year: Docland. It is an API documentation browser that generates documentation on demand (through compilation, not LLMs) for Java packages. Instead of relying on Javadoc, the built-in doc generator, I created the engine from scratch to give the documentations a modern look, build fast search indexes, and enable link resolution to other packages. I built Docland because I constantly found it frustrating to locate and view API definitions when programming. You'd have to Google the function/class name, skip all the SEO articles, find the page you want, yet the documentation might be poorly formatted or does not support searching. So I thought it would be really cool to create a documentation site dedicated for programming languages and libraries, so that you can find the docs all in one place with a uniform look. Docland currently only supports Java, but more programming languages can be supported thanks to its modular architecture. Please try it out and let me know what you think! Also, the process of building Docland was extremely fun and challenging. I'm happy to share about that too. Thank you! Martin https://docland.io May 26, 2024 at 06:05PM
Show HN: Uiino – Designing User Flows in Plain Text hi, i'm sanju, the creator of uiino.com. been there, done that with sticky notes for user stories. fun for brainstorming, but a nightmare to manage. i had to constantly move them around, keep track of changes, and explain my messy notes - it was frustrating! that's why i created uiino. it makes it easy to create user flows with just plain text, anywhere you can type. if you get stuck, our ai can even help you build a story map from your app idea. uiino keeps things clear and simple. we use tags to make it easy for everyone to understand. need feedback? you can add comments directly to the map. and if you need to move things around, it's super easy! we use uiino ourselves to build better products. to try ditching the sticky notes and see how clear user stories can help. uiino is free to use forever, but we're just getting started. we're working on integrations with figma to sync your app design flows, copywriting, translation, and collaborations. we're also working on more cool features. if you have feedback to make it even better, i'm all ears! try → https://story.uiino.com | docs → https://uiino.com/docs | about us → https://uiino.com/story https://www.uiino.com May 25, 2024 at 09:15PM
Show HN: A faster way to switch LLM models Really excited to release our universal model router for LLM models. We monitor usage across all your LLM models and now make it even easier to switch between them, no more time rebuilding your app when a new model is released. https://twitter.com/getPropsAI/status/1794085232951574529 May 25, 2024 at 01:01AM
Show HN: Spot – Simple, cross-platform, reactive desktop GUI toolkit for Go Hi HN, I’m excited to share Spot, a simple, cross-platform, React-like GUI library for Go. It is just a few days old and has lots of missing features but I'm happy with the results so far, and looking for some design feedback. Spot is designed to be easy to use and provide a consistent API across different platforms (mainly Mac & Linux). It’s inspired by React, but written in Go, aiming to combine the best of both worlds: the easy tooling & performance of Go with a modern, reactive approach to UI development. Key features: - Cross-platform: Leveraging FLTK[1] & Cocoa[2], Spot works on Mac, Linux, and the BSDs with plans for native Windows support in the future. - Reactive UI: Adopts a React-like model for building UIs, making it intuitive for those familiar with reactive frameworks. - Traditional, native widget set: Utilizes native widgets where available to provide a more traditional look and feel. Why I built it: I was searching for a cross-platform GUI toolkit for Go that had a more traditional appearance, and none of the existing options quite met my needs. I then started playing with Gocoa and go-fltk and suddenly I worked on an experiment to see how challenging it would be to build something like React in Go, and it kinda evolved into Spot. ¯\_(ツ)_/¯ In 2024, is there a still place for classic desktop GUIs—even with a modern spin? I’d love to hear your thoughts, feedback, and any suggestions for improvement. Also, contributions are very welcome. Thank you for checking it out! [1] https://ift.tt/Qpkdeor [2] https://ift.tt/xRan84E https://ift.tt/Y6qyKt1 May 25, 2024 at 12:49AM
Show HN: We open sourced our entire text-to-SQL product Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC. You can now use the full solution to build text-to-SQL into your product. The Problem: modern LLMs write syntactically correct SQL, but they struggle with real-world relational data. This is because real world data and schema is messy, natural language can often be ambiguous and LLMs are not trained on your specific dataset. Solution: The core NL-to-SQL engine in Dataherald is an LLM based agent which uses Chain of Thought (CoT) reasoning and a number of different tools to generate high accuracy SQL from a given user prompt. The engine achieves this by: - Collecting context at configuration from the database and sources such as data dictionaries and unstructured documents which are stored in a data store or a vector DB and injected if relevant - Allowing users to upload sample NL <> SQL pairs (golden SQL) which can be used in few shot prompting or to fine-tune an NL-to-SQL LLM for that specific dataset - Executing the SQL against the DB to get a few sample rows and recover from errors - Using an evaluator to assign a confidence score to the generated SQL The repo includes four services https://ift.tt/6M8dCER : 1- Engine: The core service which includes the LLM agent, vector stores and DB connectors. 2- Admin Console: a NextJS front-end for configuring the engine and observability. 3- Enterprise Backend: Wraps the core engine, adding authentication, caching, and APIs for the frontend. 4- Slackbot: Integrate Dataherald directly into your Slack workflow for on-the-fly data exploration. Would love to hear from the community on building natural language interfaces to relational data. Anyone live in production without a human in the loop? Thoughts on how to improve performance without spending weeks on model training? https://ift.tt/erUiSsA May 23, 2024 at 09:20PM
Show HN: Cookiecutter Data Science – V2 Launch We've just released the V2 of the cookiecutter-data-science project template! Thanks to everyone that has used it and given feedback over the years. Highlights include: - New, prettier, more helpful docs - Support for more choices for tools when using the template - Some tweaks (but keep the core) of the folder/file structure - New CLI entrypoint (for more flexibility going forward) - Comprehensive test suite - And more! Lots has changed in the data science and machine learning landscape since V1 launched, and so we wanted to reflect that in the template. More choice is part of the plan for v2.1, so if you have tools you want supported, let us know. To read more about the changes, what is different, what is staying the same, and our thoughts on the data science tools landscape, see the announcement blog post: https://ift.tt/OLkxTa8 https://ift.tt/n4Ht9LS May 22, 2024 at 11:58PM
Show HN: Neosync – Open-Source Data Anonymization for Postgres and MySQL Hey HN, we're Evis and Nick and we're excited to be launching Neosync ( https://ift.tt/HsQNw9h ). Neosync is an open source platform that helps developers anonymize production data, generate synthetic data and sync it across their environments for better testing, debugging and developer experience. Most developers and teams have some version of a database seed script that creates some mock data for their local and stage databases. The problem is that production data is messy and it’s very difficult to replicate that with mock data. This causes two big problems for developers. The first problem is that features seem to work locally/stage but have bugs and edge cases in production because the seed data you used to develop against was not representative of production data. The second problem we saw was that debugging production errors would take a long time and would often resurface. When we see a bug in production, the first thing we want to do is reproduce it locally, but if we can’t reproduce the state of the data locally, then we’re kind of flying blind. Working directly with production data would solve both of these problems but most teams can’t because of: (1) privacy/security issues and (2) scale. So we set out to solve these two problems with Neosync. We solve the privacy and security problem using anonymization and synthetic data. We have 40+ pre-built transformers (or you can write your own in code) that can anonymize PII or sensitive data so that it’s safe to use locally. Additionally, you can generate synthetic data from scratch that fits your existing schema across your database. The second problem is scale. Some production databases are too big to fit locally or just have more data than you need. Also, in some cases, you may want to debug a certain customer’s data and you only want their data. We solve this with subsetting. You can pass in a SQL query to filter your table(s) and Neosync will handle all of the heavy lifting including referential integrity. At the core of Neosync does three things: (1) It streams data from a source to one or multiple destination databases. We never store your sensitive data. (2) While that data is being streamed, we transform it. You define which schemas and tables you want to sync and at the column level, select a transformer that defines how you want to anonymize the data or generate synthetic data. (3) We subset your data based on your filters. We do all of this while handling referential integrity. Whether you have primary keys, foreign keys, unique constraints, circular dependencies (within a table and across tables), sequences and more, Neosync preserves those references. We also ship with APIs, a Terraform provider, a CLI and Github action that you can use to hydrate a CI database. Neosync is an open source project written in Go and Typescript and can be run on Docker Compose, Bare Metal, or Kubernetes via Helm. You can also use our hosted platform or managed platform that you can deploy in your VPC. We also have a hosted platform with a generous free tier - https://neosync.dev Here's a brief loom demo: https://ift.tt/qOxJTdQ?... We'd love any feedback you have! https://ift.tt/GQF6TrE May 22, 2024 at 11:23PM
Show HN: B-field, a novel probabilistic key-value data structure (`rust-bfield`) `rust-bfield` is a Rust implementation of our novel "B-field" data structure, which functions like a Bloom filter for key-value lookups instead of set membership queries. The B-field allows you to compactly store data using only a few bytes per key-value pair. We've successfully utilized it in genomics to associate billions of "k-mers" with taxonomic identifiers while maintaining an efficient memory footprint. But the data structure is also useful beyond computational biology, particularly where you have large unique key domains and constrained value ranges. Available under an Apache 2 license. We hope it proves useful, and we're happy to answer any questions! https://ift.tt/Dbh1iCX May 22, 2024 at 11:23PM
Show HN: I made a Flutter app for loneliness. 14000 min of voice messages later: I hope you are doing better today than yesterday. (TLDR in the comments; or enjoy my story :) ) Why: About 11 months ago, I launched my app for the first time on Reddit's r/lonely because I had previously experienced loneliness myself during grad school. I wanted to reach out to people going through similar experiences by providing them with what would’ve helped me in the past. I felt this was an important mission for me and a much more rewarding one than my day job that I quit my job to work on the app full-time. It was necessary because I did not come from a programming background. I knew how to program in the sense of running scientific simulations on MATLAB, but creating the front-end and back-end for a consumer app was totally new to me, so I had to learn from scratch. I enjoyed everyday going to a cafe to learn from programming crash courses on YouTube, developing the app little by little, and eventually launching the app! The initial response was actually pretty great: 220 upvotes for the app launch post! How: I made the app to be based on voice, and nothing else: no profiles, no profile photos, and even no texts. The reason for that was I felt a lot of people felt lonely and had trouble finding meaningful online connections because of the modern communication medium which actually promotes superficial and viral contents over authentic and long-form contents. It is easy to see from examples: TikTok’s 30 second videos, Instagram’s eye-popping photos by beautiful people from the globe, and Twitter(X)’s 140-char spicy takes. Sure, these platforms offer us information about DIYs, trends, and news that can enrich our lives and entertain us, but they don’t by all means help us feel more connected to individuals. Even on Reddit, the contents tend to be more wholesome and there are hilarious comments that build on top of each other, but the actual sense of connection you feel with the users is tenuous. Focusing on voice worked! It was incredible listening to the heartfelt messages from strangers from all over the world who opened up about their loneliness and didn’t mind being vulnerable to other strangers. I have personally spoke with everyone that came by. The 14k minutes of voice messages do not include my own voice messages; they are all messages that people left for their own posts, to each other, or as replies to me. Highlights: There were some incredible moments, which would be too long to share in this post (leave a comment if you want to hear more!), but some of the highlights were (note: these are all from public conversations): * Lady in New Brunswick, Canada was extremely depressed after a difficult divorce and felt being on the life’s edge. She was getting scammed left and right on dating apps and was losing hope. She told me that I was the only one that she felt she could trust and talk to, and she probably wouldn’t be here if I ever stopped talking to her. Thankfully, she eventually managed to find a boyfriend and she thanked me for having always been there for her. She still came back to the app to act as a supporter for other lonely souls for a while! * Gentleman in New York, USA felt isolated in a farm and felt he had no real connections with anyone. He shared with me and other users about his life growing various vegetables, but stopped coming on the app for a couple of months. When he came back, he was pleasantly surprised by the app’s development, felt I really believed in my mission to help lonely souls, and became an evangelist for my app :) He posted on several forums on Reddit and engaged in conversations with many users on the app. ... Continued in the comment https://ift.tt/WG62mKl May 22, 2024 at 11:06PM
Show HN: I recreated Jeffery Ventrella's "Particle Life" This weekend's coding session was dedicated to recreating Jeffery Ventrella's "Particle Life". As you can imagine, I had a lot of fun with it. I recently saw this here on Hacker News and found it strange that I’d never come across it before. Source code: https://ift.tt/39Piwjk The color palette is by Alex Cristache. https://twitter.com/AlexCristache/status/1791122643816431930 https://ift.tt/AevdoiJ May 18, 2024 at 01:47AM
Show HN: Optigraph – optimum graph network generator I've created a tool that helps plan graph networks for the best possible connections between nodes. The idea is for it to be used as a kind of underground system planner. I am still working on improving the algorithms it uses, but please consider checking it out for new ideas/bug catching. https://ift.tt/daRKNO8 May 19, 2024 at 03:00PM
Show HN: SQLFrame – I ran PySpark without Spark on a SQL database Recently I open-sourced SQLFrame, a DataFrame library that implements the PySpark DataFrame API but removes Spark as a dependency. It does this by generating the corresponding SQL for the DataFrame operations using SQLGlot. Since the output is SQL this also means that the PySpark DataFrame API can now be used directly against other databases without the Spark middleman. I built this because of two common problems I have faced in my career: 1. I prefer to write complex pipelines in PySpark but they can be hard to read for SQL-proficient co-workers. Therefore I find myself in a tradeoff between maintainability and accessibility. 2. I really enjoy using the PySpark DataFrame API but not every project requires Spark and therefore I'm not able to use the DataFrame library I am most proficient in. The library currently focuses on transformation pipelines (reading from and writing to tables) and data analysis as key use cases. It does offer some ability to read from files directly but they must be small although this can be improved over time if there is demand for it. SQLFrame currently supports BigQuery, DuckDB, and Postgres with Clickhouse, Redshift, Snowflake, Spark, and Trino in development or planned. You can use the "Standalone" session to test running against any engine supported by SQLGlot but there could be issues with more advanced functions that will be resolved once officially supported by SQLFrame. Blog post for more details: https://ift.tt/tDzihAP... Would love to answer any questions or hear any feedback you may have! https://ift.tt/2QeqvES May 21, 2024 at 06:39AM
Show HN: Recall Memory – Your Personal Local Time Machine for Mac Recall Memory is a free Sandboxed Mac App which let's you scroll through time and allows you to "Recall" what you were doing earlier. Recall works by capturing the active window every second and only saves screenshots with significant changes. Making it easy to scroll through what you were doing earlier. All data is processed and always stored locally. https://ift.tt/jAW9HQT May 21, 2024 at 05:18AM
Show HN: Checkpoint 401 – forward auth server in TypeScript / Deno I wrote a forward auth server in TypeScript and Deno. I've written several forward auth servers before but they have always been specifically written for that application. I wanted something more generalised that I could re-use. What is forward auth? Web servers likes Nginx and Caddy and Traefik have a configuration option in which inbound requests are sent to another server before they are allowed. A 200 response from that server means the request is authorised, anything else results in the web server rejecting the request. This is a good thing because it means you can put all your auth code in one place, and that the auth code can focus purely on the job of authing inbound requests. Checkpoint 401 aims to be extremely simple - you define a route.json which contains 3 things, the method, the URL pattern to match against and the filename of a TypeScript function to execute against that request. Checkpoint 401 requires that your URL pattern comply with the URL pattern API here: https://ift.tt/QmLSTik... Your TypeScript function must return a boolean to pass/fail the auth request. That's all there is to it. It is brand new and completely untested so it's really only for skilled TypeScript developers at the moment - and I suggest that if you're going to use it then first read through the code and satisify yourself that it is good - it's only 500 lines: https://ift.tt/ob34pwt... https://ift.tt/Yu29nxV May 20, 2024 at 12:11AM
Show HN: A VS Code extension to check incompatible CSS I've developed a handy tool for Visual Studio Code that makes checking CSS compatibility very easy for developers. It provides instant feedback on syntax, keywords, types, and function compatibility. It even highlights deprecated, non-standard, and experimental features. https://ift.tt/j6cSEPp May 19, 2024 at 11:24PM
Show HN: Drivr – VR with real vehicles [video] This project combines VR with a real vehicle that you are controlling (or is controlling itself, in some scenarios). One advantage this has over traditional VR motion experiences is that your senses all agree with each other, thus greatly reducing the likelihood of motion sickness. The go-kart seen in this video is drive-by-wire and steer-by-wire, so the system will not let the player exit the defined safe area. If a player goes off course, the vehicle will take control, and return them to the start. The autonomous capabilities also allow for games where the player can focus on other objectives other than driving, such as target shooting. No infrastructure is required other than the vehicle and an open place to drive (which honestly has been the most challenging part lately). If you're interested in this project, I'd love to connect! https://www.youtube.com/watch?v=Q76X0cnSGHk May 17, 2024 at 12:49AM
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