Show HN: Iso20022.js – Create payments in 3 lines of code https://ift.tt/cqWAgBD

Show HN: Iso20022.js – Create payments in 3 lines of code https://ift.tt/vQO4EHG August 5, 2024 at 11:25PM

Show HN: Datoviz 0.2.0, Vulkan-based GPU scientific visualization (C/C++/Python) https://ift.tt/zCXDweT

Show HN: Datoviz 0.2.0, Vulkan-based GPU scientific visualization (C/C++/Python) I'm excited to announce the release of Datoviz 0.2.0, an open-source, high-performance GPU scientific visualization library built on Vulkan. It targets the interactive visualization of large 2D/3D datasets. This version includes tentative precompiled Python wheels for Linux, macOS (ARM and Intel), and Windows. Datoviz is a key part of the CZI-funded Vispy 2.0 project and will serve as its main GPU backend. Datoviz provides core GPU visualization capabilities while VisPy 2.0 will provide high-level plotting functionality (a bit similar to NumPy vs SciPy). What I'm looking for from the community: 1. Compatibility feedback: I'd appreciate quick feedback on how these precompiled Python wheels perform across different operating systems and graphics hardware. 2. Library feedback: Datoviz is still in its early stages and actively evolving. The API is subject to change, and I'd appreciate any feedback on its functionality and design. Please report issues on GitHub. Since the initial 2021 v0.1 release, the underlying technology has matured significantly. The internal architecture is now more robust and modular, paving the way for support for other rendering technologies like WebGPU and WebAssembly in the medium term. While still somewhat limited, the focus is on ensuring stability, performance, and visual quality. Available visuals include points, markers, line segments, paths, glyphs, images, spheres, 3D meshes, and basic volume rendering. Some important features, like axes and picking, are planned for v0.3 and later. Please give it a try, report any issues on GitHub, and feel free to ask questions. You're also welcome to contribute. I'm looking forward to your feedback! https://ift.tt/CojZ9y3 August 6, 2024 at 01:33AM

Show HN: Run Mutahunter.ai LLM powered software testing on your code in browser https://ift.tt/C5pGQlx

Show HN: Run Mutahunter.ai LLM powered software testing on your code in browser https://ift.tt/AS8vXe2 August 6, 2024 at 12:40AM

Show HN: Resurrecting DOS – Bringing Classic Gaming to the Web https://ift.tt/MhiEamv

Show HN: Resurrecting DOS – Bringing Classic Gaming to the Web Hi There, We’ve all felt the nostalgia for classic DOS games like DOOM, Prince of Persia, and Duke Nukem. Unfortunately, running these games on modern systems is a hassle with often 10+ setup steps. To bridge that gap, I’ve built a platform that leverages DOSBox and JS-DOS to bring these beloved titles directly to the browser. Say goodbye to complex setups! This platform seamlessly emulates DOS games, letting you jump straight into the action. I'm eager for your feedback on emulation performance, game compatibility, and user interface. I’m currently beta testing and plan to integrate a light CMS like PocketBase for more user controls. I’m also excited to open-source the project soon, allowing users to create personalized “DOS cabinets” with their favorite games! Let me know your thoughts and help bring back the glory days of DOS gaming! https://ift.tt/RAWeq8P August 5, 2024 at 02:56AM

Show HN: AI-Powered Stock Market Analyst with Global Coverage https://ift.tt/im3VWbp

Show HN: AI-Powered Stock Market Analyst with Global Coverage We’re thrilled to announce the launch of our AI-powered stock market analyst chatbot, designed to help you analyze stocks and gain valuable market insights with ease. Our intuitive conversational chat interface makes it simple for anyone to get started. Why You’ll Love It: Our AI Analyst uses a long-term value-growth investing strategy, similar to those employed by legendary investors like Warren Buffett, Mohnish Pabrai, Phil Town and Charlie Munger. It’s built to provide you with thorough, data-driven analysis to help you make informed investment decisions. Key Features: - Comprehensive Analysis: Analyze, review, and compare financial records of multiple companies at once. - Global Coverage: Access over 68,000 stocks across 69 stock exchanges worldwide. - Rich Data Insights: Our AI Analyst taps into a wealth of data, providing deeper and more insightful analyses. Data Access Includes: - Company stock quotes (price, volume, market cap, etc.) - Company profiles - Key product information - Financial ratios & metrics - Latest earnings call transcripts - Recent news headlines and summaries - Company press releases - 15+ years of financial statements (income, balance sheets, cash flow) - Executive compensation - Insider trading activity - Past earnings call transcripts - Trailing Twelve Months (TTM) ratios - Analyst earnings estimates - Historical analyst recommendations - Historical dividends and stock splits - Key ratios, owner earnings, and enterprise value - Price target summaries - Analysts’ price targets - Historical stock price and intraday price charts - ESG ratings and benchmarks - Daily most active, gainer, and loser stocks and much more. Available now at decodeinvesting.com/chat. We’d love to hear your feedback and thoughts. Try it out and let us know what you think! Your insights will help us continue to improve and provide the best possible tool for stock market analysis. https://ift.tt/hlB3U85 August 5, 2024 at 03:01AM

Show HN: Remix Gear and Next.js Gear – The cleanest way to start a project https://ift.tt/aVwvr1M

Show HN: Remix Gear and Next.js Gear – The cleanest way to start a project I like starting projects from scratch, but not from zero: - Remix or Next.js - Tailwind CSS - TypeScript - shadcn/ui - i18n https://ift.tt/IPo7hfm https://ift.tt/Jc53bjn August 4, 2024 at 12:29AM

Show HN: Pineify – The Best TradingView Trading Indicator Strategy Generator https://ift.tt/CjIp4Vg

Show HN: Pineify – The Best TradingView Trading Indicator Strategy Generator I'm excited to introduce Pineify, a powerful tool designed to revolutionize how you create and optimize trading strategies on TradingView. Pineify allows you to generate custom TradingView indicators effortlessly, without needing to write a single line of code. Why Pineify? As a trader, I found it challenging to create and optimize trading strategies without extensive coding knowledge. Pineify was born out of the need for a more accessible, user-friendly solution that empowers traders to develop sophisticated strategies without the technical barrier. Pineify is ready for you to explore. Check it out and let us know your thoughts. Your feedback is invaluable as we continue to improve and add new features. Thank you for your time, and I look forward to your feedback! Official Website: https://pineify.app Free Live Playground: https://ift.tt/qxTmsLW https://pineify.app August 4, 2024 at 06:31AM

Show HN: Plain Vanilla – a tutorial website for vanilla web development https://ift.tt/m7d6n1b

Show HN: Plain Vanilla – a tutorial website for vanilla web development This site explains how to do web development without any tools or frameworks, relying only on the browser and web standards. I made it because I couldn’t find a single place online that put together all the right information in the way that I liked. The site itself is of course also vanilla and open sourced on github. https://ift.tt/vnl8ykw August 3, 2024 at 10:45PM

Show HN: I built a solcial-media-inspired fitness App https://ift.tt/0HBNUYW

Show HN: I built a solcial-media-inspired fitness App Hi Hacker News! I'm Jarne, a student and software developer, and I have developed MyGainplan for the last 2 years. When I started working out, I realized that it is quite hard to keep varying training plans. I know that it is recommended to change your training plan every 2–3 months in order to prevent muscular imbalance and other injuries. Besides that, some little changes help to stay motivated on a long fitness journey . After endless searching for free workouts or training plans, I had the idea of MyGainplan. The main idea of MyGainplan is to allow users to share their experience and profit from each other. MyGainplan guides you through your workouts, tracks your progress and keeps you motivated to train. When it comes to discovering new workouts, MyGainplan allows you to search for unique and different workouts created and uploaded by other users. With that, changing your training plan becomes a breeze - And it's totally free! No payments, no subscriptions, no advertisements! I am so happy to say that I have now launched on iOS and Android. I would love to get some Feedback from the first users in order to make MyGainplan even better! Website: https://ift.tt/l5aZdqX Play Store: https://ift.tt/PIx0yXf App Store: https://ift.tt/dZTYiAW Let's make training better together https://ift.tt/NoxLnac August 3, 2024 at 02:09AM

Show HN: webhooked.email (2023) https://ift.tt/6a7ZiQV

Show HN: webhooked.email (2023) Hey HN, I built this tool a while ago, and it looks like it's finally getting some traction lately -- wanted to post it up again here for anyone who's looking for a dead simple solution for webhooks that email you. For those who say new products are hard to trust ("you never know how long they'll be around!") -- this one has been casually running for just over 13 months now! https://webhooked.email August 3, 2024 at 07:47AM

Show HN: Created an App for People Who Hate Planning Vacations https://ift.tt/SvYq8Tt

Show HN: Created an App for People Who Hate Planning Vacations Hi HN! I and my team have been hard at work for the past 4 years on our passion project, Trameter, and we're thrilled to share our second public release with you. Just 2 days ago, we launched Trameter on the App Store in the US, and we'd love to get your feedback. What Trameter Does Imagine planning a whole vacation in just a few seconds. That’s Trameter! It’s a mobile app that takes the stress out of travel planning. You simply tell it where you want to go, when you want to go, and how much you want to spend. In return, it gives you 9 personalized vacation options – a mix of flights and hotels – all ready to book in seconds. The Problem We're Solving Planning a trip can be a nightmare. Endless tabs, hours of comparing prices, and still feeling unsure about your choices. Most people end up with generic packages or spend way too much time and effort on DIY planning. How Trameter Flips the Script Trameter cuts through the noise and saves you from spending 15+ hours on 38+ websites. You get personalized options in seconds. Here’s how it works: 1. Enter your Preferences: Where do you want to go? When? What’s your budget? 2. Relax and Let Trameter Do the Work: No more endless searches! Our smart algorithm finds the perfect flights and hotels for you. 3. Explore 9 Personalized Vacation Packages: In seconds, you'll get 9 curated options – 3 within your budget, 3 below, and 3 above. 4. Book in 1 Click Within the App: Finalize your travel plans with one click, without leaving the app or being redirected elsewhere. Our Journey We’re a small team of passionate travelers, frustrated with the planning process ourselves, who’ve poured our hearts into this app. We’re committed to making travel planning easy and enjoyable. We’d love to hear your thoughts on: - Potential use cases we might not have considered - Suggestions for improving the app - Ideas for marketing strategies - Any potential pitfalls to look out for as we scale Try the app out and let me know what you think! I'm here for all your feedback and questions. Links: Mobile App: https://ift.tt/JuaersL Website: https://trameter.com/ https://trameter.com/ August 2, 2024 at 11:53PM

Show HN: Roast or Get Roasted https://ift.tt/maxOIsD

Show HN: Roast or Get Roasted https://twocents.site/ August 2, 2024 at 11:17PM

Show HN: Trayce – Network tab for your local Docker containers https://ift.tt/Re9Cy0h

Show HN: Trayce – Network tab for your local Docker containers Trayce is an open source desktop application which monitors HTTP(S) traffic to Docker containers on your machine. It uses eBPF to achieve automatic instrumentation and sniffing of TLS-encrypted traffic. As a backend developer I wanted something which was similar to Wireshark or the Chrome network tab, but which intercepted requests & responses to my containers for debugging in a local dev environment. Wireshark is a great tool but it seems more geared towards lower level networking tasks. When I'm developing REST APIs I dont care about packets, checksums, bit flags etc. I'm only concerned with HTTP requests and their responses. I also didn't want to have to configure a pre master key to intercept TLS, I wanted it to work out-of-the-box. Trayce is in beta phase so feedback is very welcome, bug reports too. The frontend GUI is written in Python with the QT framework. The TrayceAgent which is what does the intercepting of traffic is written in Go and eBPF. https://trayce.dev July 31, 2024 at 12:28AM

Show HN: Uncover the Tools and Tech Behind Any Website https://ift.tt/oau1ITz

Show HN: Uncover the Tools and Tech Behind Any Website https://ift.tt/C80jq92 August 1, 2024 at 11:29PM

Show HN: Non SaaS – Directory of Non SaaS Apps https://ift.tt/yao3uZz

Show HN: Non SaaS – Directory of Non SaaS Apps https://nonsaas.com August 1, 2024 at 03:49AM

Show HN: Shadow IT Scan – Uncover SaaS Apps, Users and Risky OAuth Scopes https://ift.tt/bWK4etu

Show HN: Shadow IT Scan – Uncover SaaS Apps, Users and Risky OAuth Scopes Hey HN, TL;DR: We’ve launched a free version of our Shadow IT scanner to identify which SaaS apps are used in your company, who uses them, and if they have high-risk OAuth scopes. Philip and I went through YC with AccessOwl in 2022. We started the company because, in our previous roles, we struggled to track all the SaaS apps, users, and granted OAuth scopes. The Shadow IT scanner started as a small feature within AccessOwl, which manages SaaS vendors and user accounts centrally. But a standalone scanner would have made our lives so much easier in our previous roles. So, we thought, why not release it? And here it is: a free, standalone Shadow IT scanner! Hope you find it useful :) The Shadow IT scan helps with: 1. Offboarding: Employees often don’t report all the apps they sign up for, making it tough to track and secure these accounts when they leave, especially with the common SSO tax. 2. Security: OAuth scopes are quickly granted but rarely reviewed or removed, leading to organizations unknowingly spreading their data. 3. Compliance: Auditors need a list of SaaS vendors, which is hard to compile when employees sign up for tools independently. Any surprises in your scan? What features would you like to see in the next version? Looking forward to your feedback! FAQ What’s Shadow IT? Unauthorized SaaS apps within an organization not centrally managed, posing security and compliance risks. How does it work? Our tool connects to your Google Workspace or M365 instance, identifies OAuth tokens granted, and maps them to known SaaS tools. Note: In this v1 version, it only detects apps using the “Sign in with Google/Microsoft” button. Who is this for? Typically IT and InfoSec teams, but in smaller companies, it may fall under the CTO. Is it safe to use? Yes, reading OAuth tokens is standard for SaaS management tools. Data extraction only occurs when you initiate a scan. AccessOwl is SOC 2 Type II audited and GDPR compliant. https://ift.tt/n8Hwdez July 31, 2024 at 05:35PM

Show HN: Shimmr: Free iOS App Uses CIA Findings to Enhance Meditation and Focus https://ift.tt/RhIg8Bm

Show HN: Shimmr: Free iOS App Uses CIA Findings to Enhance Meditation and Focus https://ift.tt/RzDWTap July 31, 2024 at 11:58PM

Show HN: FP32 matmul of large matrices up to 24% faster than cuBLAS on a 4090 https://ift.tt/K8l1r53

Show HN: FP32 matmul of large matrices up to 24% faster than cuBLAS on a 4090 I decided to share a CUDA kernel I wrote over 5 months ago. Nvidia's hardware and software may surprise you. https://ift.tt/fadqiWM August 1, 2024 at 12:09AM

Show HN: A Path-Based Data storage/retrieval web service to prevent crawling https://ift.tt/VbeJxf5

Show HN: A Path-Based Data storage/retrieval web service to prevent crawling I listed my email on GitHub, and it got collected and used without my consent... To prevent this, I created a simple service using Django and PostgreSQL. As you can see when you access the site, you can save data by specifying a path. Think of it as a global key-value storage designed simply to prevent crawling. The data is not stored in an encrypted form, so please do not save sensitive information. Thank you. P.S.: Yes, I am a Faker's fan. https://hideonbush.com/ July 31, 2024 at 04:40AM

Show HN: I made a tool to easily transform and manipulate your JSON data https://ift.tt/tYMTbId

Show HN: I made a tool to easily transform and manipulate your JSON data Hey NN, I've create a tool that allows you to easily manipulate and transform json data. After looking round for something to allow me to perform json to json transformations I couldn't find any easy to use tools or libraries that offered this sort of functionality without requiring learning obscure syntax adding unnecessary complexity to my work or the alternative being manual changes often resulting in lots of errors or bugs. This is why I built JSON Transformer in the hope it will make these sort of tasks as simple as they should be. Would love to get your thoughts and feedback you have and what sort of additional functionality you would like to see incorporated Thanks! :) https://ift.tt/A4vYt0k (Link in case the other url doesn’t work) https://ift.tt/A4vYt0k July 30, 2024 at 11:25PM

Show HN: Turn any website into a knowledge base for LLMs https://ift.tt/0kJ6h2g

Show HN: Turn any website into a knowledge base for LLMs https://ift.tt/s9VqcIU July 30, 2024 at 06:24AM

Show HN: FastHTML, a new Python-based system for writing web applications https://ift.tt/3io7mTD

Show HN: FastHTML, a new Python-based system for writing web applications https://ift.tt/ntF8pTg July 30, 2024 at 03:22AM

Show HN: Magic Tables – Website to CSV/JSON https://ift.tt/oDp5yuN

Show HN: Magic Tables – Website to CSV/JSON https://ift.tt/NczpoCg July 30, 2024 at 01:22AM

Show HN: Chrome Extension to Open Google Maps Locations in Apple Maps https://ift.tt/s0v85wd

Show HN: Chrome Extension to Open Google Maps Locations in Apple Maps Pretty simple extension that displays a prompt notification on Google Maps to open the address you’re viewing in Apple Maps. https://ift.tt/I0TbmdL July 29, 2024 at 10:33PM

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

Show HN: Formula 1, 2, 3 and E Weather updates https://ift.tt/iUszQ0m

Show HN: Formula 1, 2, 3 and E Weather updates Get up to date predicted weather for the upcoming Formula 1, 2, 3 and E sessions! https://ift.tt/auNWeph July 23, 2024 at 11:57PM

Show HN: Easily map CSV data with lat/lon to H3 for enrichment or aggregation https://ift.tt/hdyGXOk

Show HN: Easily map CSV data with lat/lon to H3 for enrichment or aggregation https://ift.tt/6N2AJmn July 23, 2024 at 04:08AM

Show HN: I made a task manager / calendar app to use it with my wife https://ift.tt/c29EIsi

Show HN: I made a task manager / calendar app to use it with my wife Hi HN, Two years ago, I started building Jinear as a side project for fun. Then my wife started using it to plan her PhD thesis. I added features as we needed them. After a while, my best friend started using it in his small company, so I thought maybe I could productize it. You can create tasks, set reminders, attach files, link your Google Calendar, etc. It can be used as a PWA. We've been using it daily. I would be happy to receive your feedback. Thanks. https://jinear.co July 22, 2024 at 10:04PM

Show HN: I packaged all of the productivity advice into one product https://ift.tt/K1IFziv

Show HN: I packaged all of the productivity advice into one product Hey hackers, Like many of you, I'm always trying to optimize my productivity, and I have tried a lot of apps out there to do so. I didn't find the exact one that I could use, so I built one for myself. Check it out and let me know if you have any thoughts! https://www.focusmax.io July 22, 2024 at 08:54PM

Show HN: Shade/Bs – Modern Web UIs Without Node.js https://ift.tt/skNq37b

Show HN: Shade/Bs – Modern Web UIs Without Node.js https://ift.tt/YX1lJ8s July 22, 2024 at 04:58AM

Show HN: Create how-to videos and guides fast https://ift.tt/UXI5GeY

Show HN: Create how-to videos and guides fast Hey HN, I'm Kamal, a 20 year old builder from India, with a team of 4. I was building an AI-powered course builder initially, and once we started getting some paying customers biggest problem that we encountered was teaching them how to use the product. I wanted to create help centre but I couldn't, probably the procrastination, because I felt like it was a huge task. So, me and my co-founder decided to make creating videos and guides for this help centre fast and easy. This is where Kroto comes in, you just record a product/process walkthrough and it generates studio quality how-to videos with zoom-in and transition effects along with a step-by-step guide with GIFs for every action. Here's the demo: https://www.youtube.com/watch?v=JmeeNmpNepY I want to know if you guys also face similar issues, and want to get some feedback on the product. Biggest issues right now: Publishing time way too long, editor not optimised, no way to remove or add more zoom-ins in the video. https://www.kroto.one July 21, 2024 at 10:13PM

Show HN: Local Devin – powered by Sonnet 3.5 https://ift.tt/RgkWZj2

Show HN: Local Devin – powered by Sonnet 3.5 https://ift.tt/ZvGYNEg July 21, 2024 at 03:24AM

Show HN: Live Demo of GraphRAG with GPT-4o mini https://ift.tt/TX1cY8P

Show HN: Live Demo of GraphRAG with GPT-4o mini Hi HN, Microsoft recently open-sourced the GraphRAG framework, which enables more contextual responses than traditional vector-based RAG, especially for summarization-focused queries on textual data. However, a common critique is the LLM costs for constructing the knowledge graph. With the newly released GPT-4o mini, working with GraphRAG would now be ~30x cheaper. We built a demo with quarterly earning call transcripts from a few S&P 100 companies comparing GraphRAG with GPT-4o, GraphRAG with GPT-4o mini, and Baseline RAG. Try out the demo here: https://ift.tt/sWAJ3Nq Looking forward to your feedback! https://ift.tt/sWAJ3Nq July 21, 2024 at 12:11AM

Show HN: Mistral NeMo finetuning fits in Colab https://ift.tt/qnT1iN0

Show HN: Mistral NeMo finetuning fits in Colab Managed to make Mistral NeMO 12b https://ift.tt/NE8UH3M fit in a free Google Colab with a Tesla T4 GPU (16GB) for 4bit QLoRA finetuning! Managed to shave 60% VRAM usage and made it 2x faster as well! It should work in under 12GB of VRAM as well! https://ift.tt/MjWARa8 July 19, 2024 at 10:06PM

Show HN: AI Negotiation roleplays for training and fun https://ift.tt/pvAjRsV

Show HN: AI Negotiation roleplays for training and fun Dear Hackers, for a friend of mine I recently developed a prototype that allows him to let the job candidates for sales positions prove their negotiation skills. I now turned it into a public demo, to get your feedback. First situations: House Negotiation is live, and Hostage Takers follows. Have fun and tell me what you think. https://ift.tt/0cVYXK9 July 20, 2024 at 02:46AM

Show HN: Spectral – Visualize, explore, and share code in Python/JS/TS https://ift.tt/Spwa2RF

Show HN: Spectral – Visualize, explore, and share code in Python/JS/TS https://ift.tt/LtWjDXh July 20, 2024 at 01:22AM

Show HN: Building a Next.js and Firebase boilerplate to save 80% of my time https://ift.tt/IqlRYoQ

Show HN: Building a Next.js and Firebase boilerplate to save 80% of my time https://ift.tt/r9M1jky July 19, 2024 at 02:02PM

Show HN: ChatGPT Chrome Extension to Keep Temporary Chat Enabled https://ift.tt/1V9xkqH

Show HN: ChatGPT Chrome Extension to Keep Temporary Chat Enabled https://ift.tt/3cM6HVW July 19, 2024 at 09:35AM

Show HN: NetSour, CLI Based Wireshark https://ift.tt/q1IeyWB

Show HN: NetSour, CLI Based Wireshark This code is still in early beta, but i sincerley hope it will become as ubiquitous as VIM on Linux. https://ift.tt/DNmTce7 July 19, 2024 at 07:47AM

Show HN: How we leapfrogged traditional vector based RAG with a 'language map' https://ift.tt/TbKksIf

Show HN: How we leapfrogged traditional vector based RAG with a 'language map' TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'. Part of our mission at Mutable.ai is to make it much easier for developers to build and understand software. One of the natural ways to do this is to create a codebase chat, that answer questions about your repo and help you build features. It might seem simple to plug in your codebase into a state-of-the-art LLM, but LLMs have two limitations that make human-level assistance with code difficult: 1. They currently have context windows that are too small to accommodate most codebases, let alone your entire organization's codebases. 2. They need to reason immediately to answer any questions without thinking through the answer "step-by-step." We built a chat sometime a year ago based on keyword retrieval and vector embeddings. No matter how hard we tried, including training our own dedicated embedding model, we could not get the chat to get us good performance. Here is a typical example: https://ift.tt/NFS8QnH... If you ask how to do quantization in llama.cpp the answers were oddly specific and seemed to pull in the wrong context consistently, especially from tests. We could, of course, take countermeasures, but it felt like a losing battle. So we went back to step 1, let’s understand the code, let’s do our homework, and for us, that meant actually putting an understanding of the codebase down in a document — a Wikipedia-style article — called Auto Wiki. The wiki features diagrams and citations to your codebase. Example: https://ift.tt/4lo8NYC This wiki is useful in and of itself for onboarding and understanding the business logic of a codebase, but one of the hopes for constructing such a document was that we’d be able to circumvent traditional keyword and vector-based RAG approaches. It turns out using a wiki to find context for an LLM overcomes many of the weaknesses of our previous approach, while still scaling to arbitrarily large codebases: 1. Instead of context retrieval through vectors or keywords, the context is retrieved by looking at the sources that the wiki cites. 2. The answers are based both on the section(s) of the wiki that are relevant AND the content of the actual code that we put into memory — this functions as a “language map” of the codebase. See it in action below for the same query as our old codebase chat: https://ift.tt/NFS8QnH... https://ift.tt/NFS8QnH... The answer cites it sources in both the wiki and the actual code and gives a step by step guide to doing quantization with example code. The quality of the answer is dramatically improved - it is more accurate, relevant, and comprehensive. It turns out language models love being given language and not a bunch of text snippets that are nearby in vector space or that have certain keywords! We find strong performance consistently across codebases of all sizes. The results from the chat are so good they even surprised us a little bit - you should check it out on a codebase of your own, at https://wiki.mutable.ai , which we are happy to do for free for open source code, and starts at just $2/mo/repo for private repos. We are introducing evals demonstrating how much better our chat is with this approach, but were so happy with the results we wanted to share with the whole community. Thank you! https://twitter.com/mutableai/status/1813815706783490055 July 19, 2024 at 12:10AM

Show HN: How we use LLMs to find testing gaps, vulnerabilities in codebases https://ift.tt/ZBbIm2H

Show HN: How we use LLMs to find testing gaps, vulnerabilities in codebases Hello everyone! I’m thrilled to announce the latest feature from Mutahunter.ai, the ultimate tool for finding and fixing weaknesses in your code. We’ve designed Mutahunter to leverage mutation testing powered by advanced LLMs, helping you uncover vulnerabilities and enhance your code quality effortlessly. Introducing our newest feature: Detailed Mutation Testing Reports! After running our mutation tests, Mutahunter now generates comprehensive reports that clearly summarize: • Vulnerable code gaps • Test case gaps These reports significantly reduce the cognitive load on developers by providing an easy-to-read summary of critical insights, enabling you to focus on what matters most—improving your code. We are proud to be completely open-source, and we invite you to check us out on GitHub: https://ift.tt/M3yFVYJ https://ift.tt/2fT0BGn July 18, 2024 at 02:19AM

Show HN: SQLite Transaction Benchmarking Tool https://ift.tt/HhpBu4o

Show HN: SQLite Transaction Benchmarking Tool I wanted to make my own evaluation of what kind of performance I could expect from SQLite on a server and investigate the experimental `BEGIN CONCURRENT` branch vs the inbuilt `DEFERRED` and `IMMEDIATE` behaviors. Explanatory blog post: https://ift.tt/EXipu8l https://ift.tt/vUQq6Z2 July 18, 2024 at 03:14AM

Show HN: Blitzping – A far faster nping/hping3 SYN-flood alternative with CIDR https://ift.tt/owahKpH

Show HN: Blitzping – A far faster nping/hping3 SYN-flood alternative with CIDR I found hping3 and nmap's nping to be far too slow in terms of sending individual, bare-minimum (40-byte) TCP SYN packets; other than inefficient socket I/O, they were also attempting to do far too much unnecessary processing in what should have otherwise been a tight execution loop. Furthermore, none of them were able to handle CIDR notations (i.e., a range of IP addresses) as their source IP parameter. Being intended for embedded devices (e.g., low-power MIPS/Arm-based routers), Blitzping only depends on standard POSIX headers and C11's libc (whether musl or gnu). To that end, even when supporting CIDR prefixes, Blitzping is significantly faster compared to hping3, nping, and whatever else that was hosted on GitHub. Here are some of the performance optimizations specifically done on Blitzping: * Pre-Generation : All the static parts of the packet buffer get generated once, outside of the sendto() tightloop; * Asynchronous : Configuring raw sockets to be non-blocking by default; * Multithreading : Polling the same socket in sendto() from multiple threads; and * Compiler Flags : Compiling with -Ofast, -flto, and -march=native (though these actually had little effect; by this point, the bottleneck is on the Kernel's own sendto() routine). Shown below are comparisons between the three software across two CPUs (more details at the GitHub repository): # Quad-Core "Rockchip RK3328" CPU @ 1.3 GHz. (ARMv8-A) # +--------------------+--------------+--------------+---------------+ | ARM (4 x 1.3 GHz) | nping | hping3 | Blitzping | +--------------------+ -------------+--------------+---------------+ | Num. Instances | 4 (1 thread) | 4 (1 thread) | 1 (4 threads) | | Pkts. per Second | ~65,000 | ~80,000 | ~275,000 | | Bandwidth (MiB/s) | ~2.50 | ~3.00 | ~10.50 | +--------------------+--------------+--------------+---------------+ # Single-Core "Qualcomm Atheros QCA9533" SoC @ 650 MHz. (MIPS32r2) # +--------------------+--------------+--------------+---------------+ | MIPS (1 x 650 MHz) | nping | hping3 | Blitzping | +----------------------+------------+--------------+---------------+ | Num. Instances | 1 (1 thread) | 1 (1 thread) | 1 (1 thread) | | Pkts. per Second | ~5,000 | ~10,000 | ~25,000 | | Bandwidth (MiB/s) | ~0.20 | ~0.40 | ~1.00 | +--------------------+--------------+--------------+---------------+ I tested Blitzping against both hpign3 and nping on two different routers, both running OpenWRT 23.05.03 (Linux Kernel v5.15.150) with the "masquerading" option (i.e., NAT) turned off in firewall; one device was a single-core 32-bit MIPS SoC, and another was a 64-bit quad-core ARMv8 CPU. On the quad-core CPU, because both hping3 and nping were designed without multithreading capabilities (unlike Blitzping), I made the competition "fairer" by launching them as four individual processes, as opposed to Blitzping only using one. Across all runs and on both devices, CPU usage remained at 100%, entirely dedicated to the currently running program. Finally, the connection speed itself was not a bottleneck: both devices were connected to an otherwise-unused 200 Mb/s (23.8419 MiB/s) download/upload line through a WAN ethernet interface. It is important to note that Blitzping was not doing any less than hping3 and nping; in fact, it was doing more. While hping3 and nping only randomized the source IP and port of each packet to a fixed address, Blitzping randomized not only the source port but also the IP within an CIDR range---a capability that is more computionally intensive and a feature that both hping3 and nping lacked in the first place. Lastly, hping3 and nping were both launched with the "best-case" command-line parameters as to maximize their speed and disable runtime stdio logging. https://ift.tt/sC8kBnZ July 15, 2024 at 02:28PM

Show HN: Product Hunt for Music https://ift.tt/6HvlfXL

Show HN: Product Hunt for Music https://tracklist.it/ July 18, 2024 at 01:01AM

Show HN: My website that lets you talk to historical characters https://ift.tt/jmTIrM0

Show HN: My website that lets you talk to historical characters Hey guys, I am currently in high school and I wanted some feedback on the website that I built that lets you talk to historical characters and learn that way. https://ift.tt/ErhKwgD July 17, 2024 at 03:27AM

Show HN: Xuijs is A JavaScript library for creating reactive user interfaces https://ift.tt/YLc2g06

Show HN: Xuijs is A JavaScript library for creating reactive user interfaces started this project a long time ago. now I'm back working on it with new ideas in mind. feedback is appreciated. https://ift.tt/052wbZ3 July 16, 2024 at 11:29PM

Show HN: Contacts: A Microlang for Managing Contacts https://ift.tt/UVmcvrC

Show HN: Contacts: A Microlang for Managing Contacts https://ift.tt/lwDgb5k July 17, 2024 at 01:08AM

Show HN: Try Codestral Mamba (Mistral's new model) using OpenAI's API format https://ift.tt/AJVeM72

Show HN: Try Codestral Mamba (Mistral's new model) using OpenAI's API format 1. Head over to https://ift.tt/EQT9SGF 2. Install the package (MIT licensed) 3. Set the model to be codestral-mamba-2407 and the provider to be mistral https://ift.tt/EQT9SGF July 16, 2024 at 11:43PM

Show HN: Mutahunter – Fast, language agnostic, software testing using LLM agents https://ift.tt/TL9KSNd

Show HN: Mutahunter – Fast, language agnostic, software testing using LLM agents https://mutahunter.ai July 16, 2024 at 01:34AM

Show HN: TargetJ – New JavaScript framework that can animate anything https://ift.tt/iCxdQBn

Show HN: TargetJ – New JavaScript framework that can animate anything I am excited to introduce to you TargetJ, a new JavaScript framework that can animate anything. I have been working on this project for over two years, driven by the complexity of current UI frameworks. You can find the interactive documentation at www.targetj.io. I hope you find it useful for creating great web experiences. If you have any questions about the framework or want to share your thoughts, please leave a comment below. I’m eager to hear from you! https://ift.tt/e4MBEO7 July 16, 2024 at 12:06AM

Show HN: WordSea – Visual English Dictionary https://ift.tt/OVDpbSN

Show HN: WordSea – Visual English Dictionary Hi! My girlfriend and I created an app that allows you to "see" the meaning of words based on their definitions. We think it is sometimes easier to understand and remember a new word when you can visualize it. For some words, it is easy to do - you can search Google Images to quickly grasp the meaning. We wanted to extend this idea to more abstract words. Hope you find it useful! https://wordsea.xyz/ July 14, 2024 at 07:35PM

Show HN: Htmx Offline Mode https://ift.tt/wmzvl9U

Show HN: Htmx Offline Mode I wrote a pretty simple extension to HTMX that captures requests made if you lose internet or other connectivity to the server receiving the requests. Then, when you're back online, it replays requests. Maybe someone here would benefit from it. https://ift.tt/g17hJIF July 13, 2024 at 10:06PM

Show HN: An open-source backend for frontend framework built on Express.js https://ift.tt/iHEA3Vw

Show HN: An open-source backend for frontend framework built on Express.js Hey All! I started a project to create a simple API proxy server that would allow me to use third-party APIs in my frontend apps without exposing my API keys. This solved a common problem I faced: needing to interact with external services securely without building a full backend for every project. As I worked on it, the project evolved into something more comprehensive: a Backend for Frontend (BFF) Framework built on Express.js. This framework now helps you quickly spin up a backend for your client applications, especially useful when you're dealing with APIs you don't fully control. You can configure the BFF using a simple YAML file, and it comes with built-in policies for CORS, JWT validation, and rate limiting. If you need more customization, you can extend its functionality by writing custom Express middleware and handlers. I'd love to get your feedback and hear if this would be useful for your projects! https://ift.tt/cfudzl5 July 13, 2024 at 07:52PM

Show HN: Click counter using iPhone volume buttons https://ift.tt/nC3xBJ0

Show HN: Click counter using iPhone volume buttons https://ift.tt/7OHJSet July 9, 2024 at 12:18AM

Show HN: BoilerplateHub – Find the perfect boilerplate for your next project https://ift.tt/WgjnD8P

Show HN: BoilerplateHub – Find the perfect boilerplate for your next project BoilerplateHub is a curated collection of ready-to-ship boilerplates for various tech stacks and projects. I want to help developers compare and choose the ideal starter kit to ship faster. Key features: - Easy comparison of different options - Regularly updated with new and trending starter kits - Covers multiple tech stacks and project types I built this to solve the problem of spending too much time setting up project foundations. Would love to hear your feedback and suggestions for improvement! Thx! https://ift.tt/lpmGWPd July 12, 2024 at 06:20PM

Show HN: Perf Sea – performance engineering for everyone https://ift.tt/2XV1x6H

Show HN: Perf Sea – performance engineering for everyone I have found that many companies don’t have time for performance engineering and leave random tunables incorrectly configured for their workload. Instead of solving the same problems over and over I wanted an open source place where people could collaboratively share their best practices, knowledge, and methodologies, because in performance engineering no one is really a competitor. It is under active development, but currently you can: * scan flamegraphs to match with optimizations * scan raw hardware counter events to generate high level metrics and insights * scan arbitrary command output for system configuration red flags All in the browser with a simple copy paste. https://perfsea.com/ July 12, 2024 at 06:09PM

Show HN: Mandala – Automatically save, query and version Python computations https://ift.tt/EQ9ve8V

Show HN: Mandala – Automatically save, query and version Python computations `mandala` is a framework I wrote to automate tracking ML experiments for my research. It differs from other experiment tracking tools by making persistence, query and versioning logic a generic part of the programming language itself, as opposed to an external logging tool you must learn and adapt to. The goal is to be able to write expressive computational code without thinking about persistence (like in an interactive session), and still have the full benefits of a versioned, queriable storage afterwards. Surprisingly, it turns out that this vision can pretty much be achieved with two generic tools: 1. a memoization+versioning decorator, `@op`, which tracks inputs, outputs, code and runtime dependencies (other functions called, or global variables accessed) every time a function is called. Essentially, this makes function calls replace logging: if you want something saved, you write a function that returns it. Using (a lot of) hashing, `@op` ensures that the same version of the function is never executed twice on the same inputs. Importantly, the decorator encourages/enforces composition. Before a call, `@op` functions wrap their inputs in special objects, `Ref`s, and return `Ref`s in turn. Furthermore, data structures can be made transparent to `@op`s, so that an `@op` can be called on a list of outputs of other `@op`s, or on an element of the output of another `@op`. This creates an expressive "web" of `@op` calls over time. 2. a data structure, `ComputationFrame`, can automatically organize any such web of `@op` calls into a high-level view, by grouping calls with a similar role into "operations", and their inputs/outputs into "variables". It can detect "imperative" patterns - like feedback loops, branching/merging, and grouping multiple results in a single object - and surface them in the graph. `ComputationFrame`s are a "synthesis" of computation graphs and relational databases, and can be automatically "exported" as dataframes, where columns are variables and operations in the graph, and rows contain values and calls for (possibly partial) executions of the graph. The upshot is that you can query the relationships between any variables in a project in one line, even in the presence of very heterogeneous patterns in the graph. I'm very excited about this project - which is still in an alpha version being actively developed - and especially about the `ComputationFrame` data structure. I'd love to hear the feedback of the HN community. Colab quickstart: https://ift.tt/vMlIRD4... Blog post introducing `ComputationFrame`s (can be opened in Colab too): https://ift.tt/4jiJmD3 Docs: https://ift.tt/49H2Nr7 https://ift.tt/cHn7qPU July 12, 2024 at 01:40AM

Show HN: Upload your photo and generate crazy YouTube Faces for your thumbnail https://ift.tt/AwvgVd4

Show HN: Upload your photo and generate crazy YouTube Faces for your thumbnail Upload your photo, this AI tool generates hundreds of High-Conversion Youtube faces. Our AI analyzed millions of viral video thumbnails, found the top performing Youtube Faces templates for each niche. Then it can select and generate the best performing youtube faces according to your content. Works for both realistic photos and cartoon photos for faceless channels. https://ift.tt/4acKHlr July 12, 2024 at 12:27AM

Show HN: I made an SEO checker to fix frustrating issues in minutes, not hours https://ift.tt/4FJNCBl

Show HN: I made an SEO checker to fix frustrating issues in minutes, not hours If you have any issues optimizing your website. Seototal will help you. A while ago I was trying to improve my SEO on my first startup, That was when i realized how clunky and overcrowded most SEO tools were I used were, Ahrefs and Semrush initially. I built it to be lightweight and focus on the basics. It checks on page and technical issues to output straight forward reports with quick and helpful knowledge bases that will help you fix your SEO basics fast. The website is still in early stages and is actively being improved. So I'm open to any here any issues or feature recommendations you have. Thank you for your time. https://seototal.xyz July 11, 2024 at 11:40PM

Show HN: Upload your PDF and get a shareable link https://ift.tt/1iJYbDZ

Show HN: Upload your PDF and get a shareable link https://doc2.link July 11, 2024 at 08:35AM

Show HN: Dut, a fast Linux disk usage calculator https://ift.tt/WRrtFwU

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/UiRfZL9 [2]: https://ift.tt/QqhAJoX [3]: https://ift.tt/8Mo5V23 , see "Shared Links" https://ift.tt/uspId8y July 11, 2024 at 04:59AM

Show HN: Open-source tool that writes Nvidia Triton Inference Glue code for you https://ift.tt/JhRfCba

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/hMme7bt July 11, 2024 at 04:24AM

Show HN: Sentinel-1 Explorer App Simplifies Access to SAR Imagery https://ift.tt/TrKh1kv

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/8mrwSoF July 10, 2024 at 10:16PM

Show HN: Personal website inspired by Apple notes https://ift.tt/SNrPHiz

Show HN: Personal website inspired by Apple notes i stan apple notes, so i built a new personal website to look, feel, & work just like it. it's fast, fully interactive, & can be navigated entirely via keyboard shortcuts. it was a lot of fun to build. i wrote more about the implementation in the linked page. check it out! https://ift.tt/C5zk1xP July 9, 2024 at 10:55PM

Show HN: Create Music with R https://ift.tt/wXH53tY

Show HN: Create Music with R https://ift.tt/ogEd6Zi July 9, 2024 at 11:45PM

Show HN: FoxVox – how AI can subtly manipulate the content you consume https://ift.tt/07AF5yL

Show HN: FoxVox – how AI can subtly manipulate the content you consume I've been thinking about AI propaganda risks lately and built this little demo in my time as a contractor at Palisade Research lab. It's a browser extension that ~instantly rewrites any given page to a particular political slant or agenda (has buttons for liberal, conservative, humorous, and conspiracy). Many of my friends found screenshots of foxed up NYT and Twitter feeds disturbing: now you can make these too. I built this in 2 weeks; wonder what better-resourced disinformation actors can do these days. https://ift.tt/bjLD429 July 9, 2024 at 01:25AM

Show HN: S3HyperSync – Faster S3 sync tool – iterating with up to 100k files/s https://ift.tt/TY5o1sF

Show HN: S3HyperSync – Faster S3 sync tool – iterating with up to 100k files/s An alternative S3 sync tool to extremly fast sync s3 buckets. Feedback and contributions are welcome! https://ift.tt/TqnreDg July 9, 2024 at 12:35AM

Show HN: I coded my own JSON translation tool to easily localize my side project https://ift.tt/M9cqQPA

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/5oxjD07 July 8, 2024 at 11:16PM

Show HN: Imageprompt.io – AI-powered and human-curated artworks, logos, photos https://ift.tt/HA8QZgP

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: Hi.Events – Open-Source Event Management and Ticketing Platform https://ift.tt/PCs3bRz

Show HN: Hi.Events – Open-Source Event Management and Ticketing Platform https://ift.tt/EaFKGgw July 7, 2024 at 07:56PM

Show HN: A complete AdonisJS boilerplate to help TS developers https://ift.tt/0YsgF8i

Show HN: A complete AdonisJS boilerplate to help TS developers I've started developing an AdonisJS Boilerplate with Inertia. Unlike some previous boilerplates, like "Shipfast," which often promote quick-and-dirty coding for fast profits, my goal is to offer a cleaner, more maintainable solution. Here's what I've included to make this boilerplate as accessible and developer-friendly as possible: - Comprehensive Authentication: Social authentication, OTP, Magic Links, and credentials, along with complete account management features like password recovery. - Payment & Mailing Integration: Seamless integration from start to finish, with multiple options to choose from. - Detailed Documentation: Thorough explanations of every aspect, covering even the smallest, potentially confusing details in the code. - Maintainable & Scalable Code: Organized by features, allowing you to easily drag and drop components to extend functionality. - Developer Tools: Handy commands for generating new features and automatically adding necessary imports; A complete config to enable/disable a feature in less than 10 seconds. . - Pre-made Pages: Ready-to-use pages such as an admin dashboard for tasks like automatically updating products on Stripe. - Extensive Component Library: A variety of components to streamline development. I've designed this boilerplate to be as developer-friendly and robust as possible, aiming to support maintainability and scalability from the get-go. Feel free to join the waitlist and check the website! Little demo on Twitter: https://ift.tt/7vPcRTr https://turbosaas.dev July 7, 2024 at 12:07AM

Show HN: MetaShunt – high dynamic range current measurement development tool https://ift.tt/EWlASCV

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/ysKM95V July 6, 2024 at 09:08PM

Show HN: Largest Collection of Successful FAANG Resumes on the Web https://ift.tt/DW08Khv

Show HN: Largest Collection of Successful FAANG Resumes on the Web Hi HN, You can solve 300+ Leetcode problems and apply to hundreds of jobs online, but still fall short of landing a job at FAANG. Ultimately, it's the resume that gets your foot in the door. To help with this, I've built a directory featuring the largest curated collection of successful FAANG resumes. Our collection includes resumes from top-tier companies like Apple, Google, Meta, Microsoft, and Amazon. Each resume is parsed for easy filtering by company, years of experience, track (IC/Management), and domain (Backend, ML, Fullstack, and more). Give it a try and please share any feedback! https://ift.tt/z8EiZ41 July 6, 2024 at 03:19AM

Show HN: Foorr – A minimal to-do app with social accountability https://ift.tt/JjcNL4v

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: Invoice Detector – All your invoices in one place, every month https://ift.tt/LbowCDE

Show HN: Invoice Detector – All your invoices in one place, every month Hey HN, We're building Invoice Detector ( https://ift.tt/lqxW97a ), a tool that uses LLMs and computer vision to automate invoice collection for startups. Our AI agents automatically extract, process, and categorize invoices, helping startups stay on top of their expenses. In addition to extracting invoices, we send smart spend optimization notifications and generate easy-to-understand, accurate expense reports. Our pricing is transparent and available on our website. You can try our tool for free without a credit card. We're really interested in any feedback you have, as we aim to make this tool as user-friendly as possible. We’re still very early in development and would love to hear your thoughts! https://ift.tt/lqxW97a July 4, 2024 at 11:53PM

Show HN: I built a Home Server | NAS with LXD https://ift.tt/qPU27Dy

Show HN: I built a Home Server | NAS with LXD https://ift.tt/EOkbzJq July 4, 2024 at 11:35PM

Show HN: Sketch Comedy Database https://ift.tt/RonXOuF

Show HN: Sketch Comedy Database There isn't anywhere on the web the catalogs individual sketches and links them together so hoping to build it out with others who enjoy sketch comedy. Just a fun side project built with Next.js, MUI, Prisma, TypeScript, Server Actions, etc.. Open Source as well - https://ift.tt/V5N3StT https://ift.tt/J98zPBR July 4, 2024 at 01:14AM

Show HN: Piperiv.com – Data Tools for Natural Gas, Oil, and Power https://ift.tt/zT2Sv4N

Show HN: Piperiv.com – Data Tools for Natural Gas, Oil, and Power https://ift.tt/3zlpHUu July 4, 2024 at 01:07AM

Show HN: Mutahunter – LLMs to support mutating testing for all major languages https://ift.tt/hCsjJqH

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/mPKuWzR July 3, 2024 at 01:40AM

Show HN: Free AI productivity framework for solo founders (with GPT-4) https://ift.tt/LN5koYU

Show HN: Free AI productivity framework for solo founders (with GPT-4) https://ift.tt/5LKnIbj July 3, 2024 at 12:13AM

Show HN: Pug, a TUI for Terraform https://ift.tt/xp3FCdv

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/gfloFwZ https://ift.tt/gfloFwZ July 3, 2024 at 12:18AM