Show HN: How I wrote a LaTeX paper without writing any LaTeX https://ift.tt/x6kF4X9

Show HN: How I wrote a LaTeX paper without writing any LaTeX Stempad is an online scientific text-editor. I built it because I wanted a way to do fast scientific writing with just my keyboard, and LaTeX wasn't cutting it. I recently launched the ability to export Stempad documents to LaTex. I tested it by rewriting part of a paper I found online (Metabolic scaling in small life forms by Marc E. Ritchie & Christopher P. Kempes) and exporting it. You can try the editor and export yourself using the post url. The export button is on the top right of the page. In case you want to see the result directly, this was it: https://ift.tt/qXIJvNA Feedback is really appreciated! If anyone thinks they might find Stempad useful, let me know and I'd love to get in touch. https://ift.tt/5tSU061 July 29, 2024 at 04:24AM

Show HN: Run Llama 3.1 8B in the browser https://ift.tt/sEYuIlS

Show HN: Run Llama 3.1 8B in the browser https://app.wiz.chat July 29, 2024 at 12:29AM

Show HN: A football/soccer pass visualizer made with Three.js https://ift.tt/4R6wBU8

Show HN: A football/soccer pass visualizer made with Three.js I've been working on a football pass visualiser for the past week. It uses open data from StatsBomb to analyse and visualise passing patterns, allowing users to explore and filter the data by pass distance, team and players. https://ift.tt/q2aNQOk July 29, 2024 at 02:15AM

Show HN: ThinkPost – split-panel note taking & brainstorming app for devs https://ift.tt/tQg4KwY

Show HN: ThinkPost – split-panel note taking & brainstorming app for devs ThinkPost is an Interactive split-panel diagramming, draggable block-based note-taking, and brainstorming tool. I developed ThinkPost as a side project for few months now. Basic idea is parallel streaming of ideas. It's a desktop web app with a very scaled down mobile version just for support. Whole my career I had been working with startups and specifically early stage ones, and it's a big responsibility to devise a feature on our own, think deeply about it in different streams (logically, security, re-usability, platform APIs etc.) and even present distilled part of it to stakeholders (Often times non technical people). Even now I run backend/infra/mobile/qa/customer support/integrations for a healthcare startup, so stakes are high. There's a lot of self brainstorming in multiple streams and then there's also distillation process. I couldn't really work with single page notepads for that streaming process. We should be able to note down in split-panels, so there's space for parallel ideas. Many note-taking apps today single-paged have high-think-threshold (windows notepad/apple notes have very low-think-threshold), you have to think before you write in them, so not a good option for quick ideas. So built a platform specifically for everyone who can parallel stream ideas in split panels Textually (low-think-threshold), write as they like), Diagrammatically, Code-wise or even Quick Maths. And also move the idea blocks across panels or within! or Open a new tab if you want more! I'm personally a massive user of my app because I plan everything at my current job via this app, run meetings, self-brainstorm features, study requirements, visualize code-ideas, an develop this when I get time as well. All completely free. Might run ads later. https://thinkpost.io - Try! no login needed. More comprehensive introduction: https://ift.tt/LEG7qfc... https://thinkpost.io July 28, 2024 at 09:49PM

Show HN: WordPress Plugin Compatibility Checker https://ift.tt/9KlEeXH

Show HN: WordPress Plugin Compatibility Checker Use cases: * Verify compatibility of new plugin versions with your current setup. * Assess compatibility of your current WordPress version and installed plugins. * Discover the latest available versions of WordPress and your plugins. Available via API and WebUI. https://ift.tt/KlU4ruE July 27, 2024 at 11:55PM

Show HN: Preprocessor I've been working 4 years now https://ift.tt/kIiVrEH

Show HN: Preprocessor I've been working 4 years now Hey there, I'm here today to share with you a software I've been working on for 4 years now. I'm not full time dedicated to it, as I need to make a living. My inspiration to develop it came when I started using Sass for real in production. I really appreciated the hierarchy of nesting rules instead of the way CSS vanilla used to do. The obvious nesting rules was easy to read and understand just by looking at. That was something I personally admirated very much. I wondered why there was no HTML preprocessors as revolutionary as there is for CSS and JavaScript. All popular preprocessors for HTML have one thing in common. All replace the angle brackets by something else (usually identation) and then add some functionalities on top of it. If the symbols for markups are a problem to the experience of developing a visual structure, just replacing it for something else doesn't fix the problem. You are just changing the character of marcation for another. With that in mind, I started Pretty Markup. Not just replacing the clutter of angle brackets by something else, but removing it completely. Very much inspired by Sass. No special characters needed, except by the quotes. The project still in its early stage, but its already useable. I reached a point where it has a stable base to work. Now, I'm plannig the layer of features that will make it usefull and revolutionary as Sass and TypeScript. Its important to note that I didn't started directly in Pretty Markup. I had a previous package called htmlpp-com-github-mopires. Yes, terrible name, but it was a start. Later a decided to make it more professional and with a friendly name. You can give it a shot by having NodeJS and installing it with: npm install pretty-markup I created a syntax hightlighter for VS Code to attract more devs to it. You can use it by searching "pretty markup" on the extensions tab. Now, it's the first one. The next step will be a package to create a basic starter project. Something like the good old create-react-app. Any feedback, suggestion or even a contribution about anything is very welcome. Thank you very much for your attention, Matheus PS: The package available in runkit is very old(and I don't know how to update it there), I do not recommend you to test there. https://ift.tt/lB2cWtj July 23, 2024 at 10:44PM

Show HN: Semantic Grep – A Word2Vec-powered search tool https://ift.tt/dLit0kQ

Show HN: Semantic Grep – A Word2Vec-powered search tool Much improved new version. Search for words similar to the query. For example, "death" will find "death", "dying", "dead", "killing"... Incredibly useful for exploring large text datasets where exact matches are too restrictive. https://ift.tt/28Ivf6i July 27, 2024 at 11:32PM

Show HN: Symbols > We are building Figma for developers https://ift.tt/0OdZWje

Show HN: Symbols > We are building Figma for developers What is Symbols? “The ultimate platform for developers & teams to build, test and document fully functional & reusable UI libraries on a canvas. Publish as a website or export to your existing tech stack with open-source development” Lifetime offers: We are currently running $100 one off offers for the first 100 users, which includes unlimited projects or users for 1 project. Eventually charging $49 per month per user/project, as design system platforms charge a similar amount. So grab a deal! Landing: Here is a quick landing put together, with a better one in the works :) https://ift.tt/7nKS1iA Any questions let me know! https://ift.tt/7nKS1iA July 27, 2024 at 01:47AM

Show HN: Check Your Mouthbreathing with MediaPipe https://ift.tt/nO2N4JM

Show HN: Check Your Mouthbreathing with MediaPipe While scrolling through Reddit, I read about the negative side effects of mouth breathing (which are quite debatable) and wondered if I was doing it myself. Since I wanted to experiment with MediaPipe anyway, I built a little website to check. It's just an index HTML file which you can download and modify. It only works on desktop and takes a few seconds to load MediaPipe. https://ift.tt/TKt0BwG July 27, 2024 at 02:56AM

Show HN: Ray Tracing in One Weekend v4.0.0 https://ift.tt/lIyRcMv

Show HN: Ray Tracing in One Weekend v4.0.0 Since this is a major new release (three and a half years in development), I think this should be ok for Show HN. This release has lots of new material, fixes, and updates across the three books in this series. All three books are online and free, with accompanying code available from GitHub. Enjoy! https://ift.tt/YOzj3lQ July 27, 2024 at 02:55AM

Show HN: Patchwork – Open-source framework to automate development gruntwork https://ift.tt/tjy9N8W

Show HN: Patchwork – Open-source framework to automate development gruntwork Hi HN! We’re Asankhaya and Rohan and we are building Patchwork. Patchwork tackles development gruntwork—like reviews, docs, linting, and security fixes—through customizable, code-first 'patchflows' using LLMs and modular code management steps, all in Python. Here's a quick overview video: https://youtu.be/MLyn6B3bFMU From our time building DevSecOps tools, we experienced first-hand the frustrations our users faced as they built complex delivery pipelines. Almost a third of developer time is spent on code management tasks[1], yet backlogs remain. Patchwork lets you combine well-defined prompts with effective workflow orchestration to automate as much as 80% of these gruntwork tasks using LLMs[2]. For instance, the AutoFix patchflow can resolve 82% of issues flagged by semgrep using gpt-4 (or 68% with llama-3.1-8B) without fine-tuning or providing specialized context [3]. Success rates are higher for text-based patchflows like PR Review and Generate Docstring, but lower for more complex tasks like Dependency Upgrades. We are not a coding assistant or a black-box GitHub bot. Our automation workflows run outside your IDE via the CLI or CI scripts without your active involvement. We are also not an ‘AI agent’ framework. In our experience, LLM agents struggle with planning and rarely identify the right execution path. Instead, Patchwork requires explicitly defined workflows that provide greater success and full control. Patchwork is open-source so you can build your own patchflows, integrate your preferred LLM endpoints, and fully self-host, ensuring privacy and compliance for large teams. As devs, we prefer to build our own ‘AI-enabled automation’ given how easy it is to consume LLM APIs. If you do, try patchwork via a simple 'pip install patchwork-cli' or find us on Github[4]. Sources: [1] https://ift.tt/uYesSFO... [2] https://ift.tt/MT2Wldg... [3] https://ift.tt/olt1TC8 [4] https://ift.tt/hHfJmen [Sample PRs] https://ift.tt/GXHsYao https://ift.tt/hHfJmen July 27, 2024 at 02:04AM

Show HN: A personalised AI tutor with < 1s voice responses https://news.ycombinator.com/item?id=41057030

Show HN: A personalised AI tutor with < 1s voice responses TLDR: We created a personalised Andrej Karpathy tutor that can response to questions about his Youtube videos in sub 1 second responses (voice-to-voice). We do this using a voice enabled RAG agent. See later in the post for demo link, Github Repo and blog write up. A few weeks ago we released the worlds fastest voice bot, achieving 500ms voice-to-voice response times, including a 200ms delay waiting for a user to stop speaking. After reaching the front page of HN, we thought about how we could take this a step further based on feedback we were getting from the community. Many companies were looking for a way to implement function calling and RAG with voice interfaces while retaining a low enough latency. We couldn’t find many resources about how to do this online that: 1. Allowed us to achieve sub-second voice-to-voice latency 2. Was more flexible than existing solutions. Vapi, Retell, [Bland.ai]( http://Bland.ai ) are too opinionated plus since they just orchestrate API’s which incur network latency at every step. See requirement above 3. The unit economics actually work at scale. So we decided to create a implementation of our own. Process: As we mentioned in our previous release, if you want to achieve response times this low you need to make everything as local as possible. So below was our setup - Local STT: Deepgram model - Local Embedding model: Nomic v1.5 - Local VectorDB: Turso - Local LLM: Llama 3B - Local TTS: Deepgram model From our previous example, the only new components where: - Local Embedding model: We chose Nomic Embed text v1.5 model that gave a processing time of roughly ~200ms - Turso offers local embedded replicas combined with edgeDB’s which meant we were able to achieve 0.01 second read times. Pinecone also gave us good times of 0.043 seconds. The above changes led us to achieve sub 1 second voice-to-voice response times Application: With Andrej Karpathy’s announcement around [Eureka Labs]( https://eurekalabs.ai/ ), a new AI+Education company we thought we would create our very own personalised Andrej tutor. Listen to anyone of his Youtube lectures, as soon as your start specking, the video will pause and he will reply. Once your question has been answered you can then tell him to continue with the lecture and the video will automatically start playing. Demo: https://educationbot.cerebrium.ai/ Blog: https://www.cerebrium.ai/blog/creating-a-realtime-rag-voice-... Github Repo: https://github.com/CerebriumAI/examples/tree/master/19-voice... For demo purposes: - We used OpenAI for GPT-4-mini and embeddings (its cheaper to run on a CPU than GPU’s when running demos at scale. These changes add about ~1 second to the response time - We used Eleven labs to clone his voice to make replies sound more realistic. This adds about 300ms to the response time. The improvements that can be made which we would like the community to contribute to are: - Embed the video screens as well that when you ask certain questions it can show you the relevant lecture slide for the same chuck that it got context from to answer. - Insert the timestamps in the vectorDB timestamps so that if a question will be answered later in the lecture he can let you know This unlocks so many use cases in education, employee training, sales etc that it would be great to see what the community builds! https://educationbot.cerebrium.ai/ July 24, 2024 at 07:11PM

Show HN: Magic Color Picker https://ift.tt/Er2F1Q0

Show HN: Magic Color Picker https://ift.tt/RbSlQg3 July 26, 2024 at 12:26AM

Show HN: Wat – Deep inspection of Python objects https://ift.tt/ioHguj5

Show HN: Wat – Deep inspection of Python objects https://ift.tt/lmZ9Rxf July 25, 2024 at 09:48PM

Show HN: Hooper – AI-driven stats and highlights for basketball play https://ift.tt/HQ6L9ZD

Show HN: Hooper – AI-driven stats and highlights for basketball play Hey everyone, OP here. Wanted to share a bit more about Hooper — I started building it with a good friend of mine six months ago. We play a lot of pickup together and were arguing about who has a better jump shot and ended up hacking together an app to settle it The way Hooper works is you can record yourself using the app and ideally a tripod (optional). The app will track everyone, whether its a solo practice, a 3v3, or a 5v5. We think there’s a lot of stuff out there for basketball drills but what we really wanted Hooper to be for is actual game play. That means, it can do things like track multiple players, sync two half court recordings, and differentiate 2s vs 3s. Once you finish recording, it’ll process for a bit and then ask you to tag yourself (and optionally other players). Then it spits back out a few things: you can watch the full footage as well as a clipped version that's only the interesting plays; you can see highlights and offensive box stats for every player. When you sign up, you get a Hooper profile that tracks your overall stats across the sessions. You can also do things like build a mixtape from your highlights for insta. You can friend other players on Hooper to see their profile & comment on their games (also add us “grub” and “kangexpress”!) We’ve been in a closed beta for about 3 months now, fixing bugs and getting things to work with a set of early adopters. We are now starting our open beta ! If anyone here wants to try it out, you can just download the app on https://ift.tt/yXFpV7E . We are early in our journey, and lots of improvements to be made in the next few months, but we would love your feedback and ideas! https://www.hooper.gg July 25, 2024 at 03:09AM

Show HN: Voluntarily add warning labels to social media websites https://ift.tt/dQUKeHY

Show HN: Voluntarily add warning labels to social media websites A Chrome extension to voluntarily add informative warning labels to social media websites. There is a significant association between social media use and depression. Recently the surgeon general of the United States called on congress to require warning labels. While warning labels are not a sure-fire way to curb use, they can be effective provided that: - The warning must provide new information to users, and - The user must find the information credible https://ift.tt/qInQ7ja July 25, 2024 at 02:24AM

Show HN: Unsearch, an open source alternative to Google Chrome Sync https://ift.tt/BopPRWq

Show HN: Unsearch, an open source alternative to Google Chrome Sync I use several browsers between college, work and home and I like to have them synced so I can find websites I've searched for in a browser when I don't have access to it or access my bookmarks. I don't like the idea of using any of the sync services offered by the major browsers because of how they might use my data, because they lack some features I'd like to have, and because they all try to lock you into their ecosystem. So I'm building an open source cross-browser manager for browsing activity. I would love to hear your thoughts on this concept, and if you have any questions or suggestions, please let me know. https://ift.tt/E4BoPft July 24, 2024 at 10:48PM

Show HN: I built a client side Chrome extension to manage your ChatGPT prompts https://ift.tt/OByex1o

Show HN: I built a client side Chrome extension to manage your ChatGPT prompts https://www.promptzilla.xyz/ July 24, 2024 at 06:55AM

Show HN: Finetune Llama-3.1 2x faster in a Colab https://ift.tt/ojHv43E

Show HN: Finetune Llama-3.1 2x faster in a Colab Just added Llama-3.1 support! Unsloth https://ift.tt/oCArEX3 makes finetuning Llama, Mistral, Gemma & Phi 2x faster, and use 50 to 70% less VRAM with no accuracy degradation. There's a custom backprop engine which reduces actual FLOPs, and all kernels are written in OpenAI's Triton language to reduce data movement. Also have an 2x faster inference only notebook in a free Colab as well! https://ift.tt/A4QLxbC... https://ift.tt/GhqBKvy July 24, 2024 at 02:00AM

Show HN: React Native Finisher Kit That'll Automate All the Complex Stuff https://ift.tt/9EmHA5i

Show HN: React Native Finisher Kit That'll Automate All the Complex Stuff Hey HN, I've been automating mobile builds since 2017, publishing a course on mobile automation back then. Over the years, I’ve configured Mobile CI/CD for various companies using Bitrise, Codemagic, GitHub Actions – over and over again. To simplify this repetitive process, I’ve created a React Native "finisher kit" that automates Mobile CI/CD setup. Here’s what it offers: - Initial setup with monorepo support, multiple environments, unified configuration, testing set up, features like Push or iOS Live Activities… - Easy app creation for App Stores + Fully automated code signing, building, deployment, - Single place for configuration (AWS), reusable for local development, builds and deployment either locally or in the cloud, - A seamless system to manage configurations for Apple, Fastlane, Google, and more… It allows you to create your Mobile CI/CD with any of these providers with a single CLI command and keep it up-to-date. Switch between providers just by changing the config. It supports both React Native CLI projects and Expo. I built it to save time and reduce the complexity of mobile app development, hoping it will be as helpful for you as it has been for me. I’d love to get your feedback and thoughts. Thanks! Igor https://ift.tt/8NUaCzs July 23, 2024 at 11:12PM