Show HN: PAKman – A new build system built around Alpine Linux Packages https://bit.ly/3IoiaHV

Show HN: PAKman – A new build system built around Alpine Linux Packages https://bit.ly/3MGXRaU May 16, 2023 at 03:23PM

Show HN: Jesth – Next-level human-readable data serialization format https://bit.ly/439eZvC

Show HN: Jesth – Next-level human-readable data serialization format Hi HN ! I'm Alex, a tech enthusiast. I'm excited to show you Jesth, a next-level human-readable data serialization format. This project started out as a markup language for writing the docstrings of functions that would ultimately be consumed by a documentation generator. Basically the idea was to split a docstring into sections like Description and Parameters. Each section would consist of a header in square brackets and a body (lines of text between two headers). Here's what a docstring for a sum function would look like: This function takes in two integers a and b and returns their sum. [parameters] - a: First integer - b: Second integer [return] Sum of a and b The Description section in the example above is actually an anonymous section, i.e., a section with an empty header. Meanwhile, I was thinking of a way to automate part of my dev workflow by storing in a file commands grouped into tasks such as project creation, build, testing, release, et cetera. Similarly with the markup language for my documentation generator, I would use square brackets to define the tasks. Thus, a task would consist of a header and a body which would be a list of commands to be executed sequentially. I built this project and named it Backstage. Here is a hypothetical backstage.tasks file: [release] & test & generate_doc & git_stuff & build # upload to PyPI $ twine upload --skip-existing dist/* [git_stuff] $ git add . $ git commit -m {message} $ git push origin master The example above is illustrative only and would not work. It contains 2 sections "release" and "git_stuff". Running the "release" task from the command line is equivalent to sequentially executing the commands in the "release" section. The documentation generator and the scripting language, despite the obvious similarity in their formats, did not share any parsing code. So, to stop repeating myself, I created a file format and its library named Jesth which stands for "Just Extract Sections Then Hack". The library acts as an incomplete INI file parser that only hands the programmer the sections (as headers and their associated bodies which are lists of strings). No further interpretation of the data is done by the parser, allowing the programmer to unleash their creativity through useful hacks. In its latest iteration, Jesth has matured and also includes a proper and extensively tested hack to convert a compatible section into a dictionary data structure, making Jesth my de facto preferred format for config files. I find Jesth more readable than TOML, YAML, and JSON. Here, encoding a dictionary data structure in its own section with another section containing a prompt for ChatGPT: [prompt] I want you to act as a detective story writer. I will provide you with two dictionary data structures representing the profiles of two people. Your goal is to write a thrilling neo-noir story. My first request is: "guess who the killer and victim is from the profiles, then build a story that includes every detail of the profiles". [profile] # This section can be converted into a dictionary data structure name = 'Jane Doe' birthday = 2000-12-23Z10:17:37Z photo_jpg = (bin) VGhpcyBpcyBub3QgYSBwaG90by4uLiBCdXQgdGhhbmsgeW91 IGZvciB5b3VyIGludGVsbGVjdHVhbCBjdXJpb3NpdHkgOyk= --- books = (dict) romance = (list) 'Happy Place' 'Romantic Comedy' sci-fi = (list) 'Dune' 'Neuromancer' epitaph = (text) According to the law of conservation of energy, no a bit of you is gone; you are just less orderly. --- [profile] name = 'John Doe' birthday = null books = (list) 'American Predator' 'Mindhunter: Inside the FBI's Elite Serial Crime Unit' You can learn more by reading the project's README and playing with the demo. Let me know what you think of this project. https://bit.ly/3Oo7gFN May 18, 2023 at 06:08PM

Show HN: Open-Source ChatGPT Code Interpreter https://bit.ly/3IL5o6z

Show HN: Open-Source ChatGPT Code Interpreter Hi friends! I've been waiting for ChatGPT Code Interpreter access for so long that I decided to just build my own. I figured maybe some of you are in the same boat so decided to do it as an Open Source project. https://bit.ly/3pXjjj1 May 18, 2023 at 03:00PM

Show HN: A ChatGPT-powered colour palette generator https://bit.ly/3Bz5c6l

Show HN: A ChatGPT-powered colour palette generator https://bit.ly/3MePB0I May 18, 2023 at 02:07PM

Show HN: Is Bard Available in EU? https://bit.ly/41I3jyI

Show HN: Is Bard Available in EU? Wonder no more if Google Bard is available in the EU, you can check here. https://bit.ly/45ozlD4 May 18, 2023 at 12:15PM

Show HN: Bitmatch – ANSI C bit pattern matching https://bit.ly/435eKSi

Show HN: Bitmatch – ANSI C bit pattern matching Hi HN, bitmatch is my new library to do bit pattern matching and data extraction, similar to Regular Expressions. It has no dependencies, libc usage or dynamic memory allocations. I'm sharing the code as Open Source since the question for bit pattern matching came up on Stack Overflow but there aren't that many options for C out there. https://bit.ly/3Wd9Dx9 May 18, 2023 at 12:37PM

Show HN: Do not chat with your pdfs alone. Let others join the fun too https://bit.ly/3MFuy92

Show HN: Do not chat with your pdfs alone. Let others join the fun too https://bit.ly/439c4mK May 18, 2023 at 10:01AM

Show HN: Cosigny - Crowd source the best credit card and loan terms. https://bit.ly/3MjkOQ2

Show HN: Cosigny - Crowd source the best credit card and loan terms. The goal is to create spreadsheet with crowd sourced data regarding credit products and profiles so we can see how we measure up and find the best deals. Don't go too hard on me. I linked a few google sheets together. Hope you find it useful. https://bit.ly/3IocH3M May 18, 2023 at 06:11AM

Show HN: Pinbot – An extension to privately search one's browser history with AI https://bit.ly/4566MtU

Show HN: Pinbot – An extension to privately search one's browser history with AI https://bit.ly/3WaLx5U May 17, 2023 at 02:28PM

Show HN: No-code AI-powered API endpoints https://bit.ly/3OisO6P

Show HN: No-code AI-powered API endpoints Backengine is a tool that evolved from an experiment at my startup for which we wanted to pass structured data to an LLM completion API and receive structured data back. We thought we'd release it as a standalone tool for others who might also find it useful. Backengine lets you create hosted API endpoints for which the endpoint logic is described in natural language as an LLM prompt. The endpoints accept structured requests and return structured responses. Why is this useful? Hosted - no additional infrastructure to maintain. Prompt engineering workspace - you can edit, test and tweak endpoint prompts without touching any code. Instant deployment - created endpoints should be immediately available, and changes to your endpoints are deployed in one click. This is a first and very early release - we'd love for HN to try out Backengine and hear what you think! There's a playground where you can try it out - we're very interested to hear what use-cases people come up with. https://bit.ly/42OPAYf May 17, 2023 at 02:25PM

Show HN: Printnanny.ai, Monitoring for 3D Printers https://bit.ly/430kjkQ

Show HN: Printnanny.ai, Monitoring for 3D Printers https://bit.ly/3pPkOjv May 17, 2023 at 02:09PM

Show HN: Generative wall art, running on a Raspberry Pi https://bit.ly/3o6WcC8

Show HN: Generative wall art, running on a Raspberry Pi https://twitter.com/adamfuhrer/status/1657070909469884429 May 17, 2023 at 02:06PM

Show HN: CounterDB, to persist your likes/dislikes counts https://bit.ly/3Bw1JFs

Show HN: CounterDB, to persist your likes/dislikes counts A Solution to durably store your counts. For example number of likes/dislikes on a post. Its time complexity is O(1). Single header only C++ file for storing and retrieving numbers. It does this without increasing the file size, as its not append only DB. Which also means it can be slower on simultaneous writes to an index. Well if your task is just to store likes/dislikes counts, than it must not be much of a problem. As reads are done more than writes for such cases. https://bit.ly/3MaHGl2 May 17, 2023 at 06:50AM

Show HN: A nihilist All-hands Meeting Simulator https://bit.ly/3pHBEAx

Show HN: A nihilist All-hands Meeting Simulator I was just digging through some old projects to find a link for a potential new employer and stumbled upon this reminder of how much I enjoyed middle-management office politics. https://bit.ly/42KFW8Z May 17, 2023 at 12:33PM

Show HN: Taskspace – Beautiful, simple, and customizable personal task manager https://bit.ly/42FRHOb

Show HN: Taskspace – Beautiful, simple, and customizable personal task manager Hello HN. I built a personal task manager https://bit.ly/3Buv1V4 to experiment with NextJS. Wanted something simple and clean that I could keep open in the browser while I work. Added in task history viewing for easy reference during daily standup and when I need to summarize my completed work throughout the year during performance reviews. Now opening to the public to get feedback and see if folks find the app useful. Wondering If I should invest time building out additional features or if I should continue using it only for my personal workflow. Thanks, Tyler https://bit.ly/3Buv1V4 May 17, 2023 at 04:52AM

Show HN: Zig Without Unused Variable Errors https://bit.ly/3Wcz3L3

Show HN: Zig Without Unused Variable Errors I hacked the flag --allow-unused into the Zig compiler to turn off the unused variable error. https://bit.ly/3o52jHf May 17, 2023 at 04:27AM

Show HN: ChatGPT Figma Plugin – Translate, summarize or simply create new text https://bit.ly/3W70plM

Show HN: ChatGPT Figma Plugin – Translate, summarize or simply create new text https://bit.ly/458eSCq May 16, 2023 at 10:57AM

Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr https://bit.ly/41HDQ8q

Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr Greetings HN! This is Doruk from Oblivus, and I'm excited to announce the launch of our platform, Oblivus Cloud. After more than a year of beta testing, we're excited to offer you a platform where you can deploy affordable and scalable GPU virtual machines in as little as 30 seconds! https://bit.ly/3Mbfy1b - What sets Oblivus Cloud apart? At the start of our journey, we had two primary goals in mind: to democratize High-Performance Computing and make it as straightforward as possible. We understand that maintaining GPU servers through major cloud service providers can be expensive, with hidden fees adding to the burden of running and maintaining servers. Additionally, the cloud can sometimes be overly complex for individuals who don't have much knowledge but still require powerful computing resources. That's why we decided to create a platform that offers affordable pricing, easy usability, and high-quality performance. - Features 1. Fully customizable infrastructure that lets you switch between CPU and GPU configurations to suit your needs. 2. Transparent and affordable per-minute-based Pay-As-You-Go pricing with no hidden fees. Plus, free data ingress and egress. (Pricing: https://bit.ly/3BsxC1x ) 3. Optimized cost with storage and IP address-only billing when the virtual machine is shut down. 4. Each virtual machine comes with 10Gbps to 40Gbps public network connectivity. 5. NVMe ($0.00011/GB/hr) and HDD ($0.00006/GB/hr) storage that is 3x replicated to fulfill your storage needs. 6. Choose from a variety of cutting-edge CPUs and 10 state-of-the-art GPU SKUs. (Availability: https://bit.ly/3o2SuJI ) 7. OblivusAI OS images come with pre-installed ML libraries, so you can start training your models right away without the hassle of installing and configuring the necessary libraries. 8. If you're working with a team, utilize our organization feature to simplify the billing process. Everyone in your organization uses the same billing profile, so you don't need to keep track of multiple accounts. 9. No quotas or complex verification processes. Whether you represent a company, an institution, or you're a researcher, you have full access to our infrastructure without any limitations. 10. Easy-to-use API with detailed documentation so that you can integrate your code with ours. - Pricing At Oblivus Cloud, we provide pricing that is affordable, transparent, and up to 80% cheaper than major cloud service providers. Here is a breakdown of our pricing: 1. CPU-based virtual machines starting from just $0.019/hour. 2. NVIDIA Quadro RTX 4000s starting from $0.27/hour. 3. Tesla V100s starting from $0.51/hour. 4. NVIDIA A40s and RTX A6000s starting from $1.41/hour. We also offer 6 other GPU SKUs to help you accurately size your workloads and only pay for what you need. Say goodbye to hidden fees and unpredictable costs. If you represent a company, be sure to register for a business account to access even better pricing rates. - Promo Code Join us in celebrating the launch of Oblivus Cloud by claiming your $1 free credit! This may sound small, but it's enough to get started with us and experience the power of our platform. With $1, you can get over 3 hours of computing on our most affordable GPU-based configuration, or over 50 hours of computing on our cheapest CPU-based configuration. To redeem this free credit, simply use the code HN_1 on the 'Add Balance' page after registration. Register now at https://bit.ly/3Bw37b4 - Quick Links Website: https://bit.ly/3o27EyU Console: https://bit.ly/3o7CztC Company Documentation: https://bit.ly/3OlJ7iW API Documentation: https://bit.ly/3pMgzVA If you have any questions, feel free to post them below and I'll be happy to assist you. You can also directly email me at doruk@oblivus.com! https://bit.ly/3o27EyU May 16, 2023 at 08:30AM

Show HN: Query Hacker News via ChatGPT https://bit.ly/3o2M0dQ

Show HN: Query Hacker News via ChatGPT https://bit.ly/455Y12M May 16, 2023 at 05:28AM

Show HN: dreamGPT: What if LLM hallucinations were a feature and not a bug? https://bit.ly/42ZzNpm

Show HN: dreamGPT: What if LLM hallucinations were a feature and not a bug? The first GPT-based solution that uses hallucinations from LLMs for divergent thinking to generate new and novel ideas. Hallucinations are often seen as a negative thing, but what if they could be used for our advantage? dreamGPT is here to show you how. The goal of dreamGPT is to explore as many possibilities as possible, as opposed to most other GPT-based solutions which are focused on solving specific problems. https://bit.ly/430FFOU May 16, 2023 at 12:02AM