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