Show HN: MonsterWriter – Write a thesis, post, or organize notes https://ift.tt/hlJvqCt

Show HN: MonsterWriter – Write a thesis, post, or organize notes Hello HN, in 2017 I started a project that would become MonsterWriter. First envisioned as a semi-structured wiki it became a writing application specialized for scientific content. It is a perfect tool if you write your thesis. While it is focused on technical content, you can still see the knowledge management spirit in it. One or two years ago, my wife joined me in my efforts and redesigned the whole project and we recently released it as MonsterWriter2. To celebrate this milestone we are giving away free lifetime licenses for the Desktop version (till Apr 28). Just use the promo code "gu0ho4q" for a 100% discount. You can find detailed instructions here: https://ift.tt/XVLnrSc You can also find a short introduction video to the app on YouTube: https://www.youtube.com/watch?v=vR8i-EY_UBk We are happy to receive any kind of feedback! April 19, 2024 at 01:12AM

Show HN: Vapi – Convince our voice AI to give you the secret code https://ift.tt/tLS1lIP

Show HN: Vapi – Convince our voice AI to give you the secret code https://ift.tt/E8XVMYT April 18, 2024 at 10:20PM

Show HN: I also made a three-body simulation https://ift.tt/nqSbU87

Show HN: I also made a three-body simulation Somewhat inspired by a recent post here, I also made a three-body simulation on a whim, meaning to try out macroquad[0] (verdict: really nice!). Thanks to the engine I could trivially target wasm as well, so others can get mesmerized too. [0]: https://ift.tt/UPyRobe https://three-bodies.sulami.xyz/ April 18, 2024 at 06:53AM

Show HN: Trained Tiny Tales GPT(30M model)from scratch and deployed in $15 https://ift.tt/dQuOR1h

Show HN: Trained Tiny Tales GPT(30M model)from scratch and deployed in $15 For the last few weeks, I have been working on training an LLM from scratch and deploying it in production on Google Cloud Platform. Finally, I trained a 30 million parameter model on 1 billion tokens and deployed it as a web service. You can access the LLM using this site - https://ift.tt/kliWMvh The following steps were taken to build Tiny Tales GPT 1. Downloaded and preprocessed 8GB of dataset using multiprocessing library. 2. Tokenized the data using byte pair encoding to create 1 billion tokens sharded in different bin files. 3. Defined a training setup and trained the model on a small version of the LLaMA model architecture with 30 million parameters. 4. The training was done using Distributed Data-Parallel on two A-100 GPUs provided by JarvisLabs.ai (they are most cost-optimized) 5. After the training is done, an inference script is created to predict the tokens from the trained model given the input context vector. 6. Developed REST-based API service using Flask framework to interact with the inference service to the end user. 7. Finally used GCP's virtual machines, instance groups, load balancers, and DNS services to deploy the service on the internet. https://ift.tt/Cx93Mdo April 18, 2024 at 02:25AM

Show HN: A no-watermark video downloader for Any social media https://ift.tt/kNIWKpD

Show HN: A no-watermark video downloader for Any social media Hi HN reader, I'm a solo-founder navigating product market fit. I've spent 3 years building Double Subtitles which I am very proud of, but I don't know how to do marketing and my growth is somewhat stagnant. Through learning about SEO, I discovered this opportunity that I want to share: There are a lot of websites that let you download social media videos, which have extremely high traffic. But they are all disjoint, in the sense that some download TikTok videos, while others download Instagram videos, others YouTube, etc... I quickly prototyped software which downloads any video from any link. Currently the live version of FastDownload only supports TikTok and YouTube videos, since they are the most stable. But I will slowly start rolling out Instagram and other services weekly. ps. Personally, what I think is really cool is this Apple Shortcut, which lets you download videos directly from within whatever app you're in, using Share Action Extensions. pps. Another thing I'm very excited about is that while doing analysis with Ahrefs and SEMRush I have been able to identify many high value keywords which I'm deploying pSEO strategies for now. I hope this product is helpful and any feedback (even negative) would bring me joy. All the best, Bojan https://ift.tt/jiHtYRL April 18, 2024 at 02:33AM

Show HN: Easy Folders – A folders based organization tool for ChatGPT and Claude https://ift.tt/fLMvE6u

Show HN: Easy Folders – A folders based organization tool for ChatGPT and Claude Download for free: https://ift.tt/jF1Dalk A simple and powerful tool to organize chats in ChatGPT and Claude. ** NEW! Claude support added - Create folders and organize your chats for Claude ** ** NEW! Multi-account support added - Create folders and organize your chats for multiple ChatGPT & Claude accounts, and switch between them seamlessly. ** - Privacy focused, your data is all stored on your local machine - Create folders & sub-folders for your chats - Easy-to-use drag & drop - Colored folders - Automatic folders for Custom GPTs - Sync folders across multiple devices - Full chat history search - Bookmark important chats - Bulk delete chats - Backup & Import data - Dark & light mode support April 18, 2024 at 01:11AM

Show HN: Generated Documentation for Linux Kernel https://ift.tt/pMvSFtx

Show HN: Generated Documentation for Linux Kernel We are excited to release SAFA's generated documentation for the Linux Kernel. You will be able to view: -Project Overview (Overview, Features, Entities, Dataflow) -Code Files and their summaries (518 Code Files) -Functional Requirements (202 Functional Requirements) -Features (100 Features) -Mapped Relationships with explanations Learn more at https://safa.ai https://ift.tt/IBvFiKU April 17, 2024 at 12:53AM

Show HN: Bridge – Automatic Infrastructure for Django https://ift.tt/wY3TUIL

Show HN: Bridge – Automatic Infrastructure for Django https://ift.tt/mCJRivo April 16, 2024 at 10:38PM

Show HN: a Rust based CLI tool 'imgcatr' for displaying images https://ift.tt/d5Ogq06

Show HN: a Rust based CLI tool 'imgcatr' for displaying images cat for images, by RUST https://ift.tt/PUTJiMH April 16, 2024 at 02:00PM

Show HN: YouTube Shorts Redirector https://ift.tt/H4xqSKV

Show HN: YouTube Shorts Redirector I am neurodivergent and noticed the Youtube Shorts format was hacking my brain to engage longer than I wanted. I wrote this quick extension to gain my time back. If you have suggestions for improvement, I'm all ears. Thank you :) https://ift.tt/hnH2u0m April 16, 2024 at 06:29AM

Show HN: Building a GPS receiver https://ift.tt/Y3PQGAZ

Show HN: Building a GPS receiver Hi everyone! Shortly after publishing my iOS 4 jailbreak last October[1], I got to work on my next hobby project: a from-scratch homebrew GPS receiver, which can solve the user’s location solely from billions of radio antenna samples. I took a commodity SDR (alongside the Python standard library and numpy) and built a signal processing pipeline that can detect and track GPS satellites over many minutes, drop and pick up satellites as they come in and out of view, and precisely determine the user’s position and clock inaccuracy. All told, gypsum can go from a cold start to a fix on the user’s position, and the precise time, in less than a minute of listening to the antenna. I went on a journey of learning how to detect and track satellite signals that are literally too quiet to hear, and I hope that some of the magic comes through in the posts! After implementing this myself and walking the long road of getting it working, I’m left completely stunned by the brilliance of GPS, across so many axes. I hope you enjoy the read! On a more personal note, I’ll be starting a new job next week which isn’t as amenable to publishing side projects, and therefore this will be my last publicly-published project for some time. I’ve had great experiences making and sharing projects on here, and I’m really grateful for the positive feedback that’s been shared! [1]: https://ift.tt/Ap0oadg https://ift.tt/aE4BkTf April 15, 2024 at 08:12PM

Show HN: Minipic convert and compress images multiple formats locally in browser https://ift.tt/t4kuLVm

Show HN: Minipic convert and compress images multiple formats locally in browser https://minipic.app April 15, 2024 at 12:23AM

Show HN: Docker-boot – Run a system from RAM without LiveCD https://ift.tt/uEbGfOK

Show HN: Docker-boot – Run a system from RAM without LiveCD How often do you screw up the system so much you have to reformat the disk (without losing data) to fix it? Well, sometimes I do, and sometimes I can't be bothered to burn a live ISO onto a USB stick. There's initramfs, but it's hardly a pleasant environment, with network configuration and all. My go-to solution has typically been to create a chroot with busybox and a few utilities in /tmp, chroot into it, and then kill services that use the solid drive so that I can unmount it. That's an error-prone process, and sometimes systemd itself uses disk, so you can't unmount the drive despite killing all the userland but PID 1. This script improves the UX. It uses a Docker image as the chroot base, which is much easier to tailor to your needs, and automagically commits all the atrocities, such as tearing down all the userland processes, including PID 1, and re-spawning the host system from the container filesystem. It also drives libostree and Nix users mad, because it can be used to try out a new DE or even a whole OS without polluting the host filesystem or spawning a virtual machine. The video in the README shows me trying out KDE + SDDM from a host running GNOME + GDM3. https://ift.tt/DSRsWjK April 14, 2024 at 11:08PM

Show HN: GPU price-per-hour tracker for A100/H100s https://ift.tt/498kywI

Show HN: GPU price-per-hour tracker for A100/H100s Out of curiosity, I put together a simple website which tracks the prices for a few variations of A100/H100 GPUs by hour broken out between spot/ondemand, form factor and provider. Specifically I was tailoring the tool towards the smaller, emerging providers like runpod, gpulist.ai, lambda labs etc. Anyone have any ideas to expand/refine it? https://ift.tt/H6cYuUF April 14, 2024 at 12:38AM

Show HN: My $1k self-install, off-grid solar backup build for renters https://ift.tt/tmlvOf6

Show HN: My $1k self-install, off-grid solar backup build for renters https://sunboxlabs.com April 14, 2024 at 12:29AM

Show HN: Using Google Sheets as the back end/APIs of your app https://ift.tt/KieQlf1

Show HN: Using Google Sheets as the back end/APIs of your app Hello everyone! At a company I worked for, we needed to develop an MVP (basically a web page) and apply certain business logic to a Google Drive spreadsheet that was frequently updated by the Sales team. In this case, we had two options: Develop a backend to replace the current spreadsheet and have the sales team use it as a new "backoffice" - This would take a very long time, and if the hypothesis we were testing was wrong, it would be time wasted. Create the web page and use Google's SDK to extract data from the spreadsheet. We chose to go with the second option because it was quicker. Indeed, it was much faster than creating a new backoffice. But not as quick as we imagined. Integrating with Google's SDK requires some effort, especially to handle the OAuth logic, configure it in the console, and understand the documentation (which is quite shallow, by the way). Anyway! We did the project and I realized that maybe other devs might have encountered similar issues. Therefore, I developed a tool that transforms Google spreadsheets into "realtime APIs" with PATCH, GET, POST, and DELETE methods. Since it's a product for devs, I think it would be cool to hear your opinions. It's still quite primitive, but the basic features already work. https://zerosheets.com https://ift.tt/43MaiOy April 12, 2024 at 09:59PM

Show HN: Chapter-level summaries of bestselling books using LLMs https://ift.tt/rD8GBw1

Show HN: Chapter-level summaries of bestselling books using LLMs Most book summaries on the internet are not detailed enough. In this project, I've tried to create detailed chapter-level summaries that retain a greater level of detail and vocabulary of the original. The aspiration is for these summaries to be a credible alternative to reading the books themselves. Website hosted on Vercel: https://ift.tt/GRpD0Mv The code behind the project on GitHub: https://ift.tt/6E1yksf Request additional books: https://ift.tt/u86an4D... https://ift.tt/GRpD0Mv April 13, 2024 at 12:16AM

Show HN: I made a Chrome extension to automatically skips YouTube skippable ad https://ift.tt/j295yqX

Show HN: I made a Chrome extension to automatically skips YouTube skippable ad A chrome extension that can itself detects when there is a skippable ad on a video or a youtube survey and can skip that for you without you wasting time to wait for 5 seconds and click on skip ad. https://ift.tt/vEITk8e April 12, 2024 at 08:22AM

Show HN: CodeFusion, use LLMs with large codebases (with token context in mind) https://ift.tt/HKojb9P

Show HN: CodeFusion, use LLMs with large codebases (with token context in mind) Manually copying and pasting code snippets is tedious. CodeFusion allows you to easily select and merge specific code files across your codebase into a single, cohesive prompt block so that you can stay within LLMs token context budget. https://ift.tt/VArdNTE April 11, 2024 at 10:21PM

Show HN: Generate Docker Artifacts to $PWD https://ift.tt/3j4SQhz

Show HN: Generate Docker Artifacts to $PWD I wanted to use a Dockerfile to generate some build artifacts so I made a tool for this. Feel free to use! https://ift.tt/4BcFU9Z April 11, 2024 at 10:03PM

Show HN: Wunderbar, Learn Language While Working on Your Mac https://ift.tt/HAdpR8Y

Show HN: Wunderbar, Learn Language While Working on Your Mac Hey everyone, I've been living in Germany for a while now and struggling to pick up German. Even though I finished a B1 level language course, remembering all the common German words has been tough. I've tried a bunch of apps, but couldn't stick to any of them. Last month, I had an idea. I thought, what if I could see a German word and its meaning on the Menu Bar of my Mac? That way, I could learn new words while working without needing to set aside dedicated time. The app uses a spaced-repetition algorithm, so you'll see the same word multiple times until you've got it down. And even after you've learned it, you'll still see it again to make sure you don't forget. After making the app, lots of people asked me to include other languages, therefore I’ve added languages like Spanish, French, Dutch, Swedish, Japanese, and Italian. You can download the app here ($3.99): https://ift.tt/hCj4duB There's no subscription or anything like that. You pay once and it's yours forever. Let me know what you think! April 11, 2024 at 12:35PM

Show HN: Next-token prediction in JavaScript – build fast LLMs from scratch https://ift.tt/fGx0t9V

Show HN: Next-token prediction in JavaScript – build fast LLMs from scratch What inspired this project today was watching this amazing video by 3Blue1Brown called "But what is a GPT?" on Youtube ( https://www.youtube.com/watch?v=wjZofJX0v4M - I highly recommend watching it). I added it to the repo for reference. When it clicked in my head that "knowing a fact" is nearly synonymous with predicting a word (or series of words), I wanted to put it to the test, because it seemed so simple. I chose JavaScript because I can exploit the way it structures objects to aid in the modeling of language. For example: "I want to be at the beach", "I will do it later", "I want to know the answer", ... becomes: { I: { want: { to: { be: { ... }, know: { ... } } }, will: { ... } }, ... } in JavaScript. You can exploit the language's fast object lookup speed to find known sentences this way, rather than recursively searching text - which is the convention and would take forever or not work at all considering there are several full books loaded in by default (and it could support many more). Accompanying research yielded learnings about what "tokens" and "embeddings" are, what is meant by "training", and most of the rest - though I'm still learning jargon. I wrote a script to iterate over every single word of every single book to rank how likely it is that word will appear next, if given a cursor, and extended that to rank entire phrases. The base decoder started out what I'll call "token-agnostic" - didn't care if you were looking for the next letter... word... pixel... it's the same logic. But actually it's not, and it soon evolved into a text (language) model. But I have plans to get into image generation next (next-pixel prediction), using this. Overall the concepts are similar, but there are differences primarily around extraction and formatting. Goals of the project: - Demystify LLMs for people, show that it's just regular code that does normal stuff - Actually make a pretty good LLM in JavaScript, with a version at least capable of running in a browser tab https://ift.tt/Sm2voWH April 11, 2024 at 02:57AM

Show HN: We built a no-code tool on top of a spreadsheet (Game of Life example) https://ift.tt/cOg5s6k

Show HN: We built a no-code tool on top of a spreadsheet (Game of Life example) Hi everyone! I want to share a spreadsheet tool we are building. The main idea is to be able to specify logic for a no code tool inside a spreadsheet. We have automations, data integration, action formulas, dashboards. Linked example: We use our UPDATECELL formula to make a step in a board of game of life. We can also use CHAIN to make it run indefinitely. The actions are exposed as buttons in a dashboard. Our automations work by loading your spreadsheet on the server and running an action specified in the spreadsheet. So the logic could be, pull in data from google sheet, send a personalized email to every row which we haven’t emailed yet, mark those rows as complete. Run this automation on 5 minute schedule, add any other custom logic you need (e.g. test email for deliverability) and you have yourself an automatic email tool. We are leaning into automations to differentiate ourselves from other products in the field at the moment. Technical kinks: - Since our automations make changes to the spreadsheet, we needed a robust multiplayer system. We implemented a CRDT system. This is a topic for a longer blog post, but one fun challenge was to implement CRDT for rows/column which allowed for adding/deleting/reordering performantly while preserving most user intent in the case of offline editing. - Some of our formulas are inherently asynchronous; for example those which fetch data from an external data source. That added an extra kink when writing the spreadsheet engine; e.g. topologically sorting and then evaluating in order can cause you to get stuck on a long running evaluation. - One of our premises is that we do not store your data; it gets pulled when the spreadsheet evaluates. That means everything reevaluates in the browser when you open a spreadsheet. Get this to be performant (we still have a long way to go) was a challenge. Currently, everything runs in a single worker. Let me know what you all think. https://ift.tt/hsv6dSU April 11, 2024 at 02:29AM

Show HN: Hacker News Blogroll https://ift.tt/cghkxAt

Show HN: Hacker News Blogroll This was submitted about 9 months ago as a Show HN ( https://ift.tt/X9iLank ), people was generally favorable to it, but I never got around to do anything else with it past the first few days. I recently rescued a Github account I had, so I'm putting the source of the Rails app over there in case anyone wanted to do anything with it. The site still runs on https://dm.hn Generates about 2 to 3 GB bandwidth usage every month, and the blogs are still checked every day for new content. I must say, I still visit every week and find interesting entries to read. https://ift.tt/In6dCjm April 11, 2024 at 01:04AM

Show HN: Convert Java POJOs to Zod Schemas https://ift.tt/GWpBvVd

Show HN: Convert Java POJOs to Zod Schemas https://ift.tt/hEJTmiC April 10, 2024 at 06:05AM

Show HN: Visualize eBay laptops in bulk with laptopscout https://ift.tt/QiPgIKX

Show HN: Visualize eBay laptops in bulk with laptopscout A bit late in the new diskprices-like website trend, but here's my contribution to the ecosystem. The goal here is to get an instant comparison of the laptops on ebay, using mostly 3 metrics of now: CPU benchmark rank, GPU benchmark rank, and price, without having to scroll through the item description or google the PC model. At the moment there are some parsing bugs, and some components that aren't parsed yet. I also quickly run into the ebay rate limit, making it hard to maintain an hour-by-hour listing. Curious to know what you guys think! https://laptopscout.xyz/EBAY_US April 10, 2024 at 02:04AM

Show HN: NextJS CMS using Firebase as a DB for creating SSR websites https://ift.tt/ZmK0YWX

Show HN: NextJS CMS using Firebase as a DB for creating SSR websites https://ift.tt/SjQ9O45 April 10, 2024 at 12:11AM

Show HN: Suite of math-based games https://ift.tt/gBeEzLp

Show HN: Suite of math-based games https://quickmaffs.com/ April 8, 2024 at 09:47PM

Show HN: The fastest way to run Mixtral 8x7B on Apple Silicon Macs https://ift.tt/fU0dBCT

Show HN: The fastest way to run Mixtral 8x7B on Apple Silicon Macs I’d originally launched my app: Private LLM[1][2] on HN around 10 months ago, with a single RedPajama Chat 3B model. The app has come a long way since then. About a month ago, I added support for 4-bit OmniQuant quantized Mixtral 8x7B Instruct model, and it seems to outperform Q4 models at inference speed and Q8 models at text generation quality, while consuming only about 24GB of RAM[3] at 8k context length. The trick is: a) to use a better quantization algorithm and b) to use unquantized embeddings and the MoE gates (the overhead is quite small). Other notable features include many more downloadable models, support for App Intents (Siri, Apple Shortcuts), on-device grammar correction, summarization etc with macOS services and an iOS version (universal app), also with many smaller downloadable models and support for App Intents. There's a small community of users building and sharing LLM based shortcuts on the App's discord. Last week, I also shipped support for the bilingual Yi-34B Chat model, which consumes ~18GB of RAM. iOS users and users with low memory Macs can download the related Yi-6B Chat model. Unlike most popular offline LLM apps out there, this app uses mlc-llm for inference and not llama.cpp. Also, all models in the app are quantized with OmniQuant[4] quantization and not RTN quantization. [1]: https://privatellm.app/ [2]: https://ift.tt/atP5ON7 [3]: https://www.youtube.com/watch?v=4AE8yXIWSAA [4]: https://ift.tt/NbQW8BI April 8, 2024 at 09:37PM

Show HN: Dimity Jones in Puzzle Castle: An Electronic Escape Novel https://ift.tt/wgYTjfH

Show HN: Dimity Jones in Puzzle Castle: An Electronic Escape Novel _Dimity Jones In Puzzle Castle: An Electronic Escape Novel in Eighty-Nine Ciphertexts_ is a (mostly) fictional story, contained in a single text file, that requires the reader to solve puzzles as they go along, and to use each chapter's solution as a key to decipher the next. Think: escape room in the form of a novel. A computer, and rudimentary coding skills in a language of your choice, will be indispensable for performing the transformations -- and might help with the solving too! My wife, the author, passed away five years ago. This is not the last thing she wrote, but it is the most unusual, unapproachable, and personal of her major works. It is also, as the only novel of hers that I cannot breeze through in an afternoon (and despite my unflattering appearance in it), my favorite. Though _Dimity Jones_ was left unfinished, and perhaps abandoned, at the time of my wife's death, its elements were all there, on her hard disk, awaiting only a final compiling. My contribution to this text has therefore been little more than that of an occasional copyeditor (my wife was a meticulous speller and self-proofreader) and playtester. Before releasing this work more widely, I would love to have it test-driven by better coders and puzzlers than I. Any and all feedback is welcome, from positive to negative, from the sweeping to the picayune. Let me know what confuses or frustrates you -- and especially let me know if (where) you get stuck. Otherwise, there are no special instructions; it's all in the book. While _Dimity Jones_ is still in its debugging/proofreading phase, please refrain from sharing it or putting it any (other) public place. (Christine would have been horrified to see her work thus published before it was letter-perfect; but I have exhausted my pool of friends and colleagues both able and willing to tinker with it. This seems like the ideal community of potential testers.) Thanking you in advance. I hope you enjoy! https://ift.tt/ivYUKgP April 9, 2024 at 12:17AM

Show HN: Beyond text splitting – improved file parsing for LLM's https://ift.tt/5bzdsFp

Show HN: Beyond text splitting – improved file parsing for LLM's https://ift.tt/NzVgY1L April 8, 2024 at 11:11AM

Show HN: AutoMQ - A Cost-Effective Kafka Distro That Can Autoscale in Seconds https://ift.tt/oT3zwqI

Show HN: AutoMQ - A Cost-Effective Kafka Distro That Can Autoscale in Seconds https://ift.tt/bRE5J8W April 8, 2024 at 09:35AM

Show HN: HomeStage – Instant virtual furnishing with one click https://ift.tt/wzbv9GP

Show HN: HomeStage – Instant virtual furnishing with one click https://homestage.app April 8, 2024 at 02:40AM

Show HN: Bonk, a command-line tool for X11 window management https://ift.tt/cwHs642

Show HN: Bonk, a command-line tool for X11 window management https://ift.tt/CLGXrye April 8, 2024 at 12:09AM

Show HN: Basecode – The fastest way to create a web app https://ift.tt/vIJ94ZN

Show HN: Basecode – The fastest way to create a web app Hi all! Hereby I proudly present my open source project to help you quickly create web applications called Basecode. This tool allows you to quickly generate the overall structure of your application - including scaffolds and tests - using Kotlin, Spring Boot, Typescript, React (Next.js), Postgres and GraphQL. This means you'll get a modern, statically typed programming language with a solid web framework on the backend, and a highly flexible frontend that is also statically typed and has a huge ecosystem. What sets Basecode apart from other code generation platforms is its focus on: - Loose coupling: by making your application as loosely coupled as possible, it remains maintainable, even at larger scale. For example, check out the video on the Github page to see just how easily it deals with relationships between different aggregates. - Giving you everything you need, but nothing more: it generates well-structured code that you need for your project, but it does not add any bells or whistles. So... Who would benefit from using Basecode? You'll benefit from Basecode if: 1. You just want to focus on providing excellent business value, not on reinventing the wheel. 2. You want to deliver - and be able to pivot - your application as quickly and as often as possible. 3. You're either a solopreneur, prototyping your next app - or you're creating a bigger web application that is built on a platform designed to scale (or anything in between). (4.) Extra bonus points: if you like working with Kotlin, Spring Boot, React (Next.js), Postgres and GraphQL. I hope you give Basecode a try and let me know what you think! Kind regards, Wouter https://ift.tt/BfUpHuQ April 6, 2024 at 06:27PM

Show HN: Bluetuith – A console TUI-based Bluetooth manager https://ift.tt/9xUH6es

Show HN: Bluetuith – A console TUI-based Bluetooth manager Hello HN, bluetuith is a Bluetooth manager for the terminal, which aims to replace most Bluetooth managers, and can perform any Bluetooth based operations and interact with devices. Please have a look at the repository and the documentation for more information. I have been working on this for some time now, and I would like constructive suggestions to further improve the application, especially with regards to cross-platform functionality, so that the user experience can be enhanced. Any suggestions will be highly appreciated. Contributors are welcome as well. https://ift.tt/ATUcOLn April 6, 2024 at 12:17PM

Show HN: Kiwi – End-to-End Kafka Subscriptions with WebAssembly https://ift.tt/IOF2uT6

Show HN: Kiwi – End-to-End Kafka Subscriptions with WebAssembly Hey HN! I'm excited to announce the release of Kiwi v0.1.1. I started working on Kiwi a few months ago with the primary motivation of providing an extensible WebSocket adapter that allows client applications to securely subscribe to real-time data sources such as Kafka. Often times, there is a desire to extend the real-time data that flows through sources like Kafka to end users in a fast and secure manner. Rather than standing up custom solutions, Kiwi lets operators focus on writing business logic, by loading custom WASM plugins that handle tasks like authorization and event filtering per client. There is a lot more information in the README. Any feedback would be much appreciated :) Thanks! https://ift.tt/myOAJ68 April 6, 2024 at 10:00PM

Show HN: Built a premium directory dedicated to high-quality tools https://ift.tt/JF29KP4

Show HN: Built a premium directory dedicated to high-quality tools This is a previous project I decided to relaunch. There's tons of directories that accept all submissions, but I feel like that just waters down the platform. It also isn't fair for the amazingly built tools and services. I pivoted to a premium-only directory and feel like charging a small fee, while it might take longer to build the portfolio of listed tools, they'll be of much higher quality than other platforms. https://findcool.tools April 6, 2024 at 11:28AM

Show HN: My Free SEO Scoring Tool https://ift.tt/9nY0ZOH

Show HN: My Free SEO Scoring Tool I hope that this tool proves to be of immense help to you. However, I understand that it may have its limitations and there may be room for improvement. To make this tool more effective and user-friendly, I welcome your feedback and suggestions. Your insights will be instrumental in improving the tool and making it more beneficial for all users. Lastly, your support and guidance mean the world to me. Together, we can make the SEO journey smoother for everyone. So, dive in, explore the Free SEO Scoring Tool, and let's take your website's performance to new heights! https://seonaai.com April 6, 2024 at 08:20AM

Show HN: Diego – A CLI tool for importing into Hugo exported data from services https://ift.tt/kb8DRlx

Show HN: Diego – A CLI tool for importing into Hugo exported data from services Hey there! Initially, I had created a script to automate importing some exported files into my Hugo website. As I implemented support for the second service though, I realized that it would be better to convert the script into a CLI tool. (Also, a good opportunity to learn/practice Go). That's 'diego.' I released it about a month ago, but I'm only announcing it here now. Basically, it's a CLI tool designed to import official exported data, CSV and JSON files, from popular services into Hugo. It offers: - Automatic CSV and JSON conversion into Hugo data files - Support for all Hugo data file formats - Easy data management in a human-readable format (YAML) - Automatic generation of Hugo shortcodes for imported data - Optional scrape capabilities for fetching missing fields - Flags suited for scripting and pipelines - Persistent configuration Feedback, suggestions, constructive criticism, and contributions are welcome! I've just submitted a patch implementing support for Instapaper. If you have ideas for additional services that would be a good fit to add support to, let me know. This is my first released FOSS project Below is a link containing a plaintext report of my TODOS along with the time I've spent on each item while developing diego. (I think it helps getting an overview of the project internals). https://ift.tt/GrKfm0E... https://ift.tt/VFyOlS3 April 6, 2024 at 02:18AM

Show HN: Left Nvidia to build an AI Investing Copilot. [Need Feedback] https://ift.tt/LjBJZYz

Show HN: Left Nvidia to build an AI Investing Copilot. [Need Feedback] https://rafa.ai/ April 6, 2024 at 12:19AM

Show HN: PredicateKit – A type-safe replacement for NSPredicate for CoreData https://ift.tt/87Flwy2

Show HN: PredicateKit – A type-safe replacement for NSPredicate for CoreData Hi, I really like CoreData. I think it's a great piece of software (I know this is a controversial opinion in some circles ;)). My only pet peeve with it has been the string-based querying API based on NSPredicate. It is a major source of bugs/crashes and doesn't really fit nicely in the modern strongly-typed world of Swift. I built PredicateKit as a lightweight replacement for NSPredicateKit (specifically for CoreData) that makes writing predicates as safe and pleasant as writing native Swift code. https://ift.tt/ECGNQax April 5, 2024 at 05:03AM

Show HN: FizzBee – Formal methods in Python – Easiest Lang for everyday use https://ift.tt/SCLvBIO

Show HN: FizzBee – Formal methods in Python – Easiest Lang for everyday use GitHub: https://ift.tt/ws5rRbl Traditionally, formal methods are used only for highly mission critical systems to validate the software will work as expected before it's built. Recently, every major cloud vendor like AWS, Azure, Mongo DB, confluent, elastic and so on use formal methods to validate their design like the replication algorithm or various protocols doesn't have a design bug. I used TLA+ for billing and usage based metering applications. However, the current formal methods solutions like TLA+, Alloy or P and so on are incredibly complex to learn and use, that even in these companies only a few actually use. Now, instead of using an unfamiliar complicated language, I built formal methods model checker that just uses Python. That way, any software engineer can quickly get started and use. I've also created an online playground so you can try it without having to install on your machine. In addition to model checking like TLA+/PlusCal, Alloy, etc, FizzBee also has performance and probabilistic model checking that be few other formal methods tool does. (PRISM for example, but it's language is even more complicated to use) Please let me know your feedback. Url: https://FizzBee.io Git: https://ift.tt/ws5rRbl https://fizzbee.io/ April 2, 2024 at 04:15PM

Show HN: Managed GitHub Actions Runners for AWS https://ift.tt/g5iWdkn

Show HN: Managed GitHub Actions Runners for AWS Hey HN! I'm Jacob, one of the founders of Depot ( https://depot.dev ), a build service for Docker images, and I'm excited to show what we’ve been working on for the past few months: run GitHub Actions jobs in AWS, orchestrated by Depot! Here's a video demo: https://www.youtube.com/watch?v=VX5Z-k1mGc8 , and here’s our blog post: https://ift.tt/rKb7Ac4 . While GitHub Actions is one of the most prevalent CI providers, Actions is slow, for a few reasons: GitHub uses underpowered CPUs, network throughput for cache and the internet at large is capped at 1 Gbps, and total cache storage is limited to 10GB per repo. It is also rather expensive for runners with more than 2 CPUs, and larger runners frequently take a long time to start running jobs. Depot-managed runners solve this! Rather than your CI jobs running on GitHub's slow compute, Depot routes those same jobs to fast EC2 instances. And not only is this faster, it’s also 1/2 the cost of GitHub Actions! We do this by launching a dedicated instance for each job, registering that instance as a self-hosted Actions runner in your GitHub organization, then terminating the instance when the job is finished. Using AWS as the compute provider has a few advantages: - CPUs are typically 30%+ more performant than alternatives (the m7a instance type). - Each instance has high-throughput networking of up to 12.5 Gbps, hosted in us-east-1, so interacting with artifacts, cache, container registries, or the internet at large is quick. - Each instance has a public IPv4 address, so it does not share rate limits with anyone else. We integrated the runners with the distributed cache system (backed by S3 and Ceph) that we use for Docker build cache, so jobs automatically save / restore cache from this cache system, with speeds of up to 1 GB/s, and without the default 10 GB per repo limit. Building this was a fun challenge; some matrix workflows start 40+ jobs at once, then requiring 40 EC2 instances to launch at once. We’ve effectively gotten very good at starting EC2 instances with a "warm pool" system which allows us to prepare many EC2 instances to run a job, stop them, then resize and start them when an actual job request arrives, to keep job queue times around 5 seconds. We're using a homegrown orchestration system, as alternatives like autoscaling groups or Kubernetes weren't fast or secure enough. There are three alternatives to our managed runners currently: 1. GitHub offers larger runners: these have more CPUs, but still have slow network and cache. Depot runners are also 1/2 the cost per minute of GitHub's runners. 2. You can self-host the Actions runner on your own compute: this requires ongoing maintenance, and it can be difficult to ensure that the runner image or container matches GitHub's. 3. There are other companies offering hosted GitHub Actions runners, though they frequently use cheaper compute hosting providers that are bottlenecked on network throughput or geography. Any feedback is very welcome! You can sign up at https://ift.tt/0cvBU4p for a free trial if you'd like to try it out on your own workflows. We aren't able to offer a trial without a signup gate, both because using it requires installing a GitHub app, and we're offering build compute, so we need some way to keep out the cryptominers :) April 4, 2024 at 08:02PM

Show HN: Logfmtxx – Header only C++23 structured logging library using logfmt https://ift.tt/vxbW8PA

Show HN: Logfmtxx – Header only C++23 structured logging library using logfmt https://ift.tt/wW95Tgy April 4, 2024 at 07:22AM

Show HN: CoreImageToy, gain an intuition for Core Image filters https://ift.tt/dmjsX91

Show HN: CoreImageToy, gain an intuition for Core Image filters Open source repo: https://ift.tt/W6rzdKo https://ift.tt/lemPqTG April 4, 2024 at 03:23AM

Show HN: AI generator for faceless TikTok videos https://ift.tt/sFzRZpr

Show HN: AI generator for faceless TikTok videos Hi there Several months ago I launched an app called LogoPicture AI. It's a simple app that generates picture in the style of your logo. Last week I sold this app. It was my first app ever which generated some revenue. But I really struggled with marketing. I tried SEO, TikTok, Twitter - many other things. And one thing I realized that in marketing you need to be super consistent to win. You need to create a video every day, a post, etc. But I am too lazy for this :)) So, this is how the idea of Cliplama was born. I wanted to automate my marketing. I wanted to create a tool what will do at least some marketing for me. A tool, that will create a popular social account for me and I will be able to funnel its traffic in my apps. So yeah, this is that Cliplama is about. It helps you to create faceless TikTok or even YouTube channel and just post there videos daily. That's it. Right now Cliplama is in beta, so there are some bugs for sure. Some features are also missing. But I felt like it's a time to launch it. Would love to hear your feedback. Thank you! https://cliplama.com/ April 3, 2024 at 09:50PM

Show HN: I've built a locally running perplexity clone https://ift.tt/iWa3Ds6

Show HN: I've built a locally running perplexity clone The video demo runs a 7b Model on a normal gaming GPU. I think it already works quite well (accounting for the limited hardware power). :) https://ift.tt/D2oQngc April 4, 2024 at 02:57AM

Show HN: I just open sourced my document/website extractor for Vision-LLMs https://ift.tt/ZNujaHY

Show HN: I just open sourced my document/website extractor for Vision-LLMs Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it out and hopefully offer some feedback / criticism or contribute to the code yourself. and BTW, I'm not trying to throw shade at any of the services mentioned, I'm just giving my honest experience in case there are others out there who feel the same way and want something that works Cheers! https://ift.tt/SgJ6XfC April 3, 2024 at 12:10AM

Show HN. Proberix: Next-Gen Monitoring for Websites and APIs https://ift.tt/1hCxmfX

Show HN. Proberix: Next-Gen Monitoring for Websites and APIs https://ift.tt/0rbmQyl April 3, 2024 at 12:04AM

Show HN: Apple Health AI ChatBot Using OpenAI API https://ift.tt/nQkhT6y

Show HN: Apple Health AI ChatBot Using OpenAI API https://ift.tt/cxefdvg April 2, 2024 at 05:51AM

Show HN: Bonk, a command-line tool for X11 window management https://ift.tt/8Tu1Wz5

Show HN: Bonk, a command-line tool for X11 window management https://ift.tt/UO6gWNS April 2, 2024 at 03:53AM

Show HN: Find valuable expired domains easily https://ift.tt/a4zgOur

Show HN: Find valuable expired domains easily https://ift.tt/X5i6god April 2, 2024 at 01:30AM

Show HN: Exponentile – A match 3 game mixed with 2048 https://ift.tt/jSeuw5H

Show HN: Exponentile – A match 3 game mixed with 2048 Hi HN, I made this small game in my spare time. It's quite addictive, I spent a lot of hours playing instead of polishing it. My own highscore is 96,792. Source code is at https://ift.tt/vlz1f8U . It's made with react, tailwind, and framer motion. Hope you enjoy! https://ift.tt/FrLX90c April 1, 2024 at 11:34PM

Show HN: RSS Filter https://ift.tt/zwrjl6Z

Show HN: RSS Filter Sometimes it's hard to keep up with multiple RSS feeds, and would be great to get some help filtering out the least relevant part of it. RSS filter is a side project that I created for myself to act as an RSS feed articles recommendation system, but self-hosted. It has a Python backend that is able to “proxy" your existing RSS feeds and after learning a bit about your interests, starts recommending similar articles and filtering out the rest. While, of course, always including some random articles for discovery. It uses LLM embeddings and machine learning to recommend similar articles. Embedding models allow for a new era of recommendation systems, where a large user base is not required, since allowing for self-hosting. Feel free to try it on my server or self-host it yourself. All feedback and contributions are welcome. https://ift.tt/vxyHpi8 April 1, 2024 at 01:48AM

Show HN: Turn your work into a multiplayer adventure https://ift.tt/RDjUi6k

Show HN: Turn your work into a multiplayer adventure I was on the eternal quest of searching for a properly gamified productivity app that keeps me motivated throughout the day and in the long term. After a few months of a fruitless search, I made up my mind and decided to build it myself! I've since launched FocuMon a little over a month ago. Quite a few early users told me it has helped them stay focused, so I'm excited to share it on HN for ya'll to try it out and let me know how I can make it better! FocuMon is like an idle Pokémon game where you can collect, level up, and evolve cute monsters by being productive! It puts a reward layer on top of your work which helps to give you an initial boost to get into focus; it then gets out of your way once you are in the flow :) I'm actively developing more features & game modes for FocuMon. It is also a multiplayer-first app where you can adventure together with people from all over the world! Cheers and thanks for your time! Milton https://ift.tt/MhYVUmf March 31, 2024 at 11:28PM

Show HN: Studia AI – generate your personalised course with a prompt using AI https://ift.tt/YAvjrTg

Show HN: Studia AI – generate your personalised course with a prompt using AI Just launched Studia AI, a platform where learners can generate courses with just a prompt. Studia AI aims to give learners a better experience of exploring different fields and subjects tailored to their skill level. Studia AI is currently in beta and is offering a limited-time offer. Check it out if you're interested :) https://ift.tt/iUCM9hg March 31, 2024 at 06:30AM

Show HN: Qramaank.com – Rethink, Reuse and Reorganize the Internet https://ift.tt/TPbRumW

Show HN: Qramaank.com – Rethink, Reuse and Reorganize the Internet Reorganize the Internet with Qramaank Qramaank (kra • maa • nk - क्रमांक) is an open collaboration platform driven by community to create and share Qurations. Quration is an organized collection of REUSED content from various sources on the internet such as YouTube, GitHub, Spotify, and more. Qramaank aims to let people Rethink, Reuse, and Reorganize the internet according to their choice. https://qramaank.com March 30, 2024 at 08:19PM

Show HN: Turtle graphics with only 6 commands: C, F, R, S, [, ] https://ift.tt/rGAp60Q

Show HN: Turtle graphics with only 6 commands: C, F, R, S, [, ] https://ift.tt/GoigWYk March 30, 2024 at 02:53PM

Show HN: Citronote – open-source Markdown notes app https://ift.tt/8YNWXl2

Show HN: Citronote – open-source Markdown notes app I created an app that allows you to take notes using types such as Markdown. You can also save images and videos. https://ift.tt/dX5VATR March 30, 2024 at 05:59AM

Show HN: Understand your existing healthcare benefits cost and coverage https://ift.tt/hmFcs0V

Show HN: Understand your existing healthcare benefits cost and coverage https://ift.tt/fxLNA4G March 30, 2024 at 02:25AM

Show HN: Appamor.d – Full set of AppArmor profiles (~ 1500 profiles) https://ift.tt/eSMpOoa

Show HN: Appamor.d – Full set of AppArmor profiles (~ 1500 profiles) https://ift.tt/uX9jTJE March 30, 2024 at 12:39AM

Show HN: A better alternative to Google Saved Places https://ift.tt/F71ihd9

Show HN: A better alternative to Google Saved Places Here's the testflight link if you're put off by the $2 cost: https://ift.tt/Z3rzIui https://ift.tt/QS3j2bw March 30, 2024 at 01:31AM

Show HN: Tiny Startups in 10 words or less https://ift.tt/mY1D4vS

Show HN: Tiny Startups in 10 words or less https://ift.tt/1eajpFt March 28, 2024 at 09:04PM

Show HN: Seeturn – AI-Based Code Translator https://ift.tt/MNL12yP

Show HN: Seeturn – AI-Based Code Translator https://ift.tt/C6IEv07 March 29, 2024 at 01:38AM

Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source https://ift.tt/zGldMEy

Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake. Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the https://spice.ai cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and combining data from many sources, trade-offs between OLTP/OLAP compute engines, and managing datasets as code. Today, we’re re-launching Spice, completely rebuilt from the ground up, to directly solve several of the problems we had in accessing data quickly and cost-effectively providing it to applications, dashboards, and machine learning. Spice provides federated SQL query across databases (MySQL, PostgreSQL, etc.), data warehouses (Snowflake, BigQuery, etc.) and data lakes (S3, MinIO, Databricks, etc.) with the ability to materialize remote datasets locally using in-memory Arrow, DuckDB, SQLite, or PostgreSQL. Accelerated engines run in your infrastructure giving you flexibility and control over price and performance. You can read the full announcement blog post at https://ift.tt/eHGUyB0... . We’d appreciate it if you check Spice out, give us feedback, and if you'd like to contribute, we'd love to build with you. Thanks! GitHub: https://ift.tt/EGmlTsi https://ift.tt/EGmlTsi March 28, 2024 at 10:46PM

Show HN: I made a set of devtools for small projects https://ift.tt/53fzVod

Show HN: I made a set of devtools for small projects https://ift.tt/rbsYtWo March 28, 2024 at 12:46AM

Show HN: I built an interactive plotter art exhibit for SIGGRAPH https://ift.tt/rYlAM0F

Show HN: I built an interactive plotter art exhibit for SIGGRAPH I'm enthralled with using pen plotters to make generative art. Last August at SIGGRAPH, I built an interactive experience for others to see how code can be used to make visual art. The linked blog post is my trials and tribulations of linking a MIDI controller to one of these algorithms and sending its output to a plotter, so that people may witness the end-to-end experience. https://ift.tt/q0hfktA March 27, 2024 at 10:10PM

Show HN: Dora AI Beta – the first end-to-end AI website tool https://ift.tt/R5bEziZ

Show HN: Dora AI Beta – the first end-to-end AI website tool Unlike existing design tools which mainly swap AI assets into templates or pre-defined layouts, Dora AI sites are realized from beginning to end with AI — from composition to visual identity to content. That means one prompt can yield infinite unique results. We just launched our first open beta for our AI feature. As we're still in beta, any feedback on our tool would be greatly appreciated! https://ift.tt/dLSb3Me March 26, 2024 at 09:54AM

Show HN: A game to memorize the major scale patterns on the guitar https://ift.tt/CY7XOVP

Show HN: A game to memorize the major scale patterns on the guitar Check out the acccompanying course as well: https://ift.tt/j4UwFJ7 https://ift.tt/En1yvds March 27, 2024 at 03:07AM

Show HN: Open-source AI copilot with RSCs and in-built analytics https://ift.tt/X294Fgs

Show HN: Open-source AI copilot with RSCs and in-built analytics https://ift.tt/D2OatJX March 27, 2024 at 01:10AM

Show HN: HackMap, 1.5M Hacker News stories, users and comments in one plot https://ift.tt/CybXBYM

Show HN: HackMap, 1.5M Hacker News stories, users and comments in one plot Every submission or story with more than ca. 3 replies can be found in the interactive plot. Similar content is grouped near to each other. See the "Details" in the sidebar for more technical background information. https://ift.tt/18RbfSO March 27, 2024 at 12:03AM

Show HN: Onelook – Create applications by describing them in human language https://ift.tt/4vYU8tb

Show HN: Onelook – Create applications by describing them in human language Hey HN! We are the team at Onelook. Demo: https://ift.tt/ajmgUA3 Blog post: https://ift.tt/iWEKAMN... Onelook allows users to create fully-functional applications by describing them in human language. And by fully-functional we really mean backend included. Think of it as Retool for non-technical people or Copilot to build apps. Existing tools are for technical teams and even Retool, which is a great product, requires setting up connection to databases, write queries, and call REST APIs. We understand it is impossible to create a fully-functional app just by describing it in one go. Our approach is to model the conversation between a client and a product manager. In this case, the AI is the PM. The user chats back and forth with the AI to refine the app. Thank you! https://onelook.ai/ March 26, 2024 at 09:32AM

Show HN: Vocab Scrabble – A fun way to increase your vocabulary https://ift.tt/dIM3DQP

Show HN: Vocab Scrabble – A fun way to increase your vocabulary Play Scrabble with AI generated letters and validation, improve your vocabulary and impress your friends. https://ift.tt/5gi80lh March 26, 2024 at 04:15AM

Show HN: Invertornot.com – API to enhance your images in dark-mode https://ift.tt/zn9Aqga

Show HN: Invertornot.com – API to enhance your images in dark-mode Hi HN, I built ( https://invertornot.com ) it's an API that can predict whether an image will look good/bad while inverted. This is particularly useful for images in dark-mode as you can now safely invert them. The API is free and open-sourced ( https://ift.tt/8Tk9AC0 ). https://invertornot.com March 26, 2024 at 03:19AM

Show HN: Suno AI tech help you gather suno usage and create song https://ift.tt/LscrSCu

Show HN: Suno AI tech help you gather suno usage and create song Suno's song launch has captivated widespread interest with its outstanding song quality. We will gather Suno usage and download suno links, summarizing Suno's key features, and will keep providing updates. Moreover, we've crafted a functionality for creating songs from text. Welcome to explore: https://sunoai.tech https://sunoai.tech/ March 25, 2024 at 07:07AM

Show HN: A consumer carbon footprint tracker https://ift.tt/d3InPgf

Show HN: A consumer carbon footprint tracker https://ift.tt/pHyhmbq March 25, 2024 at 12:52AM

Show HN: Automate your WordPress blog in less than 5 minutes https://ift.tt/YMhFIdW

Show HN: Automate your WordPress blog in less than 5 minutes https://sebora.ai/ March 25, 2024 at 02:02AM

Show HN: Math I'm creating, Space Numbers https://ift.tt/2nlGKuw

Show HN: Math I'm creating, Space Numbers Hi HN! I had a math idea whose thread I've been pulling on, and ended up creating this concept of Space Numbers. To read about it, see the pdf at the linked repo: https://ift.tt/5BqUYXF I'd appreciate feedback and ideas about the concepts, as well as further mathematical topics to take a look at that might be related, thank you all!! https://ift.tt/5BqUYXF March 25, 2024 at 12:22AM

Show HN: No-Prompt AI Image Generator https://ift.tt/uK62Tp4

Show HN: No-Prompt AI Image Generator https://pixelgen.art/ March 24, 2024 at 02:03AM

Show HN: Wirequery – Full-stack session replay and more https://ift.tt/ojnrUYx

Show HN: Wirequery – Full-stack session replay and more https://ift.tt/q7wUcAS March 24, 2024 at 12:06AM

Show HN: World Cup simulator that can run endlessly on the browser https://ift.tt/x3k9d8A

Show HN: World Cup simulator that can run endlessly on the browser After creating the World Cup, click the "Forever" button in the header; it will continue running automatically without any further clicking. After a few hours, it should generate thousands of years of World Cup statistics, along with the long-term development history of all national teams. https://simcups.com March 23, 2024 at 08:06PM

Show HN: AI to Find Local Events https://ift.tt/TBluzgs

Show HN: AI to Find Local Events Just made an AI to help people find local events. It asks you about your group and what you'd like to do, and personalizes the results. Constructive Feedback welcome! https://ift.tt/FWc75L2 March 23, 2024 at 11:41AM

Show HN: Love Ruby but meh Daily Stand-ups (DSU)? You might like my gem:) https://ift.tt/e3UQJ7X

Show HN: Love Ruby but meh Daily Stand-ups (DSU)? You might like my gem:) I love ruby and rails, but agile Daily-Stand-ups (DSU) are a pain in the butt. I have a hard time remembering what to share; what I did yesterday, one-offs I did the day before because I completely forgot. Anyhow, I created this really lovely little, but powerful ruby gem, called dsu. Currently, we're a small, but dedicated band of users who love the tool. You may love it also. If anyone wants to give it a try. Enjoy: Visit the dsu ruby gem wiki: https://ift.tt/UBOl8cF Straight to rubygems.org: https://ift.tt/hJK0TpN https://ift.tt/KJ5q8SF March 23, 2024 at 03:14AM

Show HN: magick.css – Minimalist CSS for Wizards https://ift.tt/FYZX9n5

Show HN: magick.css – Minimalist CSS for Wizards https://ift.tt/BtEX2al March 23, 2024 at 12:13AM

Show HN: JobLander – Chrome Extension for Real-Time Job Interview Hints https://ift.tt/VrK8HZJ

Show HN: JobLander – Chrome Extension for Real-Time Job Interview Hints https://ift.tt/OgW8wvH March 22, 2024 at 01:41AM

Show HN: Turn a video of an app into a functional prototype with Claude Opus https://ift.tt/8AbjgtD

Show HN: Turn a video of an app into a functional prototype with Claude Opus Hey everyone, I’m the maintainer of the popular screenshot-to-code repo on Github (46k+ stars). When Claude Opus was released, I thought to myself what if you could send in a video of yourself using a website or app, would the LLM be able to build it as a functional prototype? To my surprise, it worked quite well. Here are two examples: * In this video, you can see the AI replicating Google with auto-complete suggestions and a search results page (failed at putting the results on a separate page). https://ift.tt/BudnfpL * Here, we show it a multi-step form ( https://ift.tt/vaFt6gk ) and ask Claude to re-create it. It does a really good job! https://ift.tt/Vo8SeEn The technical details: Claude Opus only allows you to send a max of 20 images so 20 frames are extracted from the video, and passed along with a prompt that uses a lot of Claude-specific techniques such as using XML tags and pre-filling an assistant response. In total, 2 passes are performed with the second pass instructing the AI improve on the first attempt. More passes might help as well. While I think the model has Google.com memorized but for many other multi-page/screen apps, it tends to work quite well. You can try it out by downloading the Github repo and setting up a Anthropic API key in backend/.env Be warned that one creation/iteration (with 2 passes) can be quite expensive ($3-6 dollars). https://ift.tt/hp5aVAk March 22, 2024 at 12:36AM

Show HN: OpenAI API + AWS Stack = 50k+ Word E-Books 8 mins https://ift.tt/JygV5m0

Show HN: OpenAI API + AWS Stack = 50k+ Word E-Books 8 mins I found a solution to AI content wordcount limit (typically around 500 ~ 3000 words) to help generate complete E-Book with AI using Openai + AWS stack. Demo video here https://youtu.be/V1FAAhiyzVc https://inkflow.io/ March 21, 2024 at 03:44AM

Show HN: Personal Knowledge Base Visualization https://ift.tt/vMxHne3

Show HN: Personal Knowledge Base Visualization My personal knowledge base is hosted on GitHub at https://ift.tt/MiACYwg . It scans the documents I like every day using GitHub Action, Zotero, HackerNews upvote and Github Likes. It's not yet optimized for smartphones. It cost me $5 to host it for a year. https://ift.tt/h6k35GJ March 21, 2024 at 03:28AM

Show HN: GritQL, a Rust CLI for rewriting source code https://ift.tt/WZrgeSO

Show HN: GritQL, a Rust CLI for rewriting source code Hi everyone! I’m excited to open source GritQL, a Rust CLI for searching and transforming source code. GritQL comes from my experiences with conducting large scale refactors and migrations. Usually, I would start exploring a codebase with grep. This is easy to start with, but most migrations end up accumulating additional requirements like ensuring the right packages are imported and excluding cases which don’t have a viable migration path. Eventually, to build a complex migration, I usually ended up having to write a full codemod program with a tool like jscodeshift. This comes with its own problems: - Most of the exploratory work has to be abandoned as you figure out how to represent your original regex search as an AST. - Reading/writing a codemod requires mentally translating from AST names back to what source code actually looks like. - Performance is often an afterthought, so iterating on a large codemod can be painfully slow. - Codemod frameworks are language-specific, so if you’re hopping between multiple languages—or trying to migrate a shared API—you have to learn different tools. GritQL is an attempt to develop a powerful middle ground: - Exploratory analysis is easy: just put a code snippet in backticks and use $metavariables for placeholders. - Incrementally add complexity by introducing side conditions with where clauses. - Reuse named patterns to avoid rebuilding queries, and use shared patterns from our standard library for common tasks like ensuring modules are imported. - Iterate on large codebases quickly: we use Rust for maximum performance GritQL has already been used on thousands of repositories for complex migrations[1] but we're excited to collaborate more with the open source community. [1] Ex. https://ift.tt/2qou3G0 https://ift.tt/sAYQFlu March 21, 2024 at 12:53AM

Show HN: Automated Software Documentation for GitHub Codebases https://ift.tt/1gXmjAl

Show HN: Automated Software Documentation for GitHub Codebases Hey Hackers, My team and I have been working on an automated software documentation and impact analysis platform for the last 3 years. Our long-term goal is to enter safety/mission-critical applications, where improper documentation can lead to disastrous outcomes, e.g., costly reworks/overruns or endangering human lives. But, in an effort to recognize revenue in the near term with our existing functionality, we have found initial traction with use cases focused on reverse engineering legacy systems. Where getting up to speed with an existing system requires a team of engineers to manually review large amounts of code, taking weeks or months to come to grips with. ______________________________________________ Our Self-Service release is a no-frills offering to leverage a subset of our document generation capabilities. Using only the code, SAFA is able to: -Summarize Code Files -Generate an overall project summary -Generate Upstream Documentation, like Features and Functional Requirements -Map relationships between all code and generated documentation with explanations Our approach leverages our own LLM pipeline, which applies a variety of clustering/refinement techniques, embedding models, and LLMs to keep your entire system within context when generating documentation, change summaries, api flow, and more. We do not use customer data to train or refine our models. We currently only support Github integrations for self-service but will implement flat-file support in the near term. When using self-service, you will receive Code Summaries and a Project Overview for free, but we charge for generating documentation and relationships: 20 cents per code file and generated document (100 File Codebase = $35). Currently, self-service has a 1000 code file limit. ________________________________________________ If you want to see the quality of the documents SAFA generates before trying it with your code, feel free to check out our public codebases page ( https://ift.tt/IwtcrHf ). We have serious ones like Autoware's AV Control Module, and more fun ones, like Super Mario 64. Otherwise, our app is directly accessible via https://app.safa.ai (apologies, we do require an account to be made). I very much look forward to your feedback and insights. Feel free to email me directly at aarik@safa.ai. https://www.safa.ai March 21, 2024 at 12:24AM

Show HN: Real-time voice chat with AI, no transcription https://ift.tt/ZAvqbwz

Show HN: Real-time voice chat with AI, no transcription Hi HN -- voice chat with AI is very popular these days, especially with YC startups ( https://twitter.com/k7agar/status/1769078697661804795 ). The current approaches all do a cascaded approach, with audio -> transcription -> language model -> text synthesis. This approach is easy to get started with, but requires lots of complexity and has a few glaring limitations. Most notably, transcription is slow, is lossy and any error propagates to the rest of the system, cannot capture emotional affect, is often not robust to code-switching/accents, and more. Instead, what if we fed audio directly to the LLM - LLM's are really smart, can they figure it out? This approach is faster (we skip transcription decoding) and less lossy/more robust because the big language model should be smarter than a smaller transcription decoder. I've trained a model in just that fashion. For more architectural information and some training details, see this first post: https://tincans.ai/slm . For details about this model and some ideas for how to prompt it, see this post: https://tincans.ai/slm3 . We trained this on a very limited budget but the model is able to do some things that even GPT-4, Gemini, and Claude cannot, eg reasoning about long-context audio directly, without transcription. We also believe that this is the first model in the world to conduct adversarial attacks and apply preference modeling in the speech domain. The demo is unoptimized (unquantized bf16 weights, default Huggingface inference, serverless speed bumps) but achieves 120ms time to first token with audio. You can basically think of it as Mistral 7B, so it'll be very fast and can also run basically anywhere. I am especially optimistic about embedded usage -- not needing the transcription step means that the resulting model is smaller and cheaper to use on the edge. Would love to hear your thoughts and how you would use it! Weights are Apache-2 and on Hugging Face: https://ift.tt/wsCt1b9... https://ift.tt/Mdi3NFt March 20, 2024 at 12:37AM

Show HN: Krata Maps – open-source Figma like GeoJSON Editor https://ift.tt/6YhyZaR

Show HN: Krata Maps – open-source Figma like GeoJSON Editor https://krata.app March 19, 2024 at 11:58PM

Show HN: Principal — Modern Wealth Tracking https://ift.tt/Fms9uxI

Show HN: Principal — Modern Wealth Tracking https://ift.tt/yPBiS5Z March 19, 2024 at 10:50PM

Show HN: Arthas.ai – An open-source alternative to character.ai https://ift.tt/wNZD731

Show HN: Arthas.ai – An open-source alternative to character.ai https://ift.tt/2lM1yeA March 19, 2024 at 07:29AM

Show HN: Extend Zigbee sensor range with LoRaWAN https://ift.tt/jFkbs0A

Show HN: Extend Zigbee sensor range with LoRaWAN https://ift.tt/CzTtfx5 March 18, 2024 at 02:36PM

Show HN: Next-Gen AI Training: LLM-RLHF-Tuning with PPO and DPO https://ift.tt/iezIWBa

Show HN: Next-Gen AI Training: LLM-RLHF-Tuning with PPO and DPO https://ift.tt/FqNDrWR March 19, 2024 at 12:40AM

Show HN: Pipedream now has 2000+ API integrations https://ift.tt/OuLyxQz

Show HN: Pipedream now has 2000+ API integrations https://ift.tt/SDwcnOr March 18, 2024 at 11:42PM

Show HN: Native implementation of with checkboxes https://ift.tt/LhyKgU0

Show HN: Native implementation of

Show HN: Website for creating self-signed certificates https://ift.tt/cNHbewg

Show HN: Website for creating self-signed certificates If you're developing locally and need to use HTTPS for whatever, then this tool is hopefully useful to you. I made it because there's a lot of bad info online about generating self-signed certificates. For instance, a lot of guides don't use the SAN list extension or show you how to create a proper certificate chain. Firefox doesn't allow a CA certificate to be used as an end certificate. Getting a working certificate can get pretty confusing, especially for newcomers to certificates or webdev. Having a website for this also means the process of getting a certificate is the same, no matter if you're on a Unix-like OS or Windows. A WebAssembly module built with C++ and Mbed TLS is used to create the keys and certificates. TypeScript and Preact is used for the UI. https://ift.tt/pLetjPq March 18, 2024 at 12:54AM