Show HN: I made an online financial modeling platform for stocks https://ift.tt/Rogij8s

Show HN: I made an online financial modeling platform for stocks https://ift.tt/CipWvbl May 2, 2024 at 01:11AM

Show HN: FileKitty – Combine and label text files for LLM prompt contexts https://ift.tt/Q1kpCfD

Show HN: FileKitty – Combine and label text files for LLM prompt contexts https://ift.tt/zlHI9eA May 1, 2024 at 11:40PM

Show HN: Cloud Seeder - Self Host with a Click on Your Home PC – Golang https://ift.tt/PAc5jJg

Show HN: Cloud Seeder - Self Host with a Click on Your Home PC – Golang https://ift.tt/WcplNsj May 1, 2024 at 05:22AM

Show HN: I built a Plant Identification Tool Powered GPT4 Vision https://ift.tt/2t0xG8n

Show HN: I built a Plant Identification Tool Powered GPT4 Vision https://ift.tt/OYUfCil April 30, 2024 at 09:53PM

Show HN: I replicated Anthropic's monosemanticity research using just my MacBook https://ift.tt/yV1ZwvC

Show HN: I replicated Anthropic's monosemanticity research using just my MacBook Hi everyone, I've been working on an open-source implementation of Anthropic's research on monosemanticity ("Towards Monosemanticity"). The problem Anthropic is trying to solve is that language models are hard to interpret because individual neurons can be responsible for multiple different things. The research finds that training a small autoencoder on neuron activations can result in "features" which are much easier to interpret. When I was reading the original research, I got really excited when I realized that the models they used were really small, and I could probably train them from scratch with just my M3 MBP. My models are somewhat undertrained compared to what Anthropic produced, but I think my results are still very compelling. Let me know what you think! https://ift.tt/ipVvkc7 April 30, 2024 at 10:56PM

Show HN: Community-written abstracts for research papers https://ift.tt/MRso07y

Show HN: Community-written abstracts for research papers https://ift.tt/4upyZDP April 30, 2024 at 11:04AM

Show HN: Define and implement any function on the fly with LLMs https://ift.tt/RsNyg1C

Show HN: Define and implement any function on the fly with LLMs It's not a serious library, but I figured it could be something fun to make. https://ift.tt/zEeBIX5 April 30, 2024 at 04:29AM

Show HN: Attorch – PyTorch's nn module written in Python using OpenAI's Triton https://ift.tt/JEX1sdO

Show HN: Attorch – PyTorch's nn module written in Python using OpenAI's Triton attorch is a subset of PyTorch's nn module, written purely in Python using OpenAI's Triton. Its goal is to be an easily hackable, self-contained, and readable collection of neural network modules whilst maintaining or improving upon the efficiency of PyTorch. In other words, it intends to be a forkable project endowed with a simple, intuitive design that can serve as an accessible starting point for those who are seeking to develop custom deep learning operations but are not satisfied with the speed of a pure PyTorch implementation and do not have the technical expertise or resources to write CUDA kernels. There already exist a number of wonderful PyTorch-like frameworks powered by Triton, but most concentrate solely on Transformers and NLP applications, whereas attorch aims to be more inclusive by also presenting a variety of layers pertaining to areas besides NLP such as computer vision. Moreover, attorch is not an inference-only package and fully supports both forward and backward passes, meaning it can be used during training as well as inference, though its performance for the latter is generally not on par with dedicated inference engines. Questions and feedback are welcome in the comments sections. https://ift.tt/tXipzgG April 30, 2024 at 01:07AM

Show HN: Kaytu – Optimizing cloud costs using actual usage data https://ift.tt/mbM8jBp

Show HN: Kaytu – Optimizing cloud costs using actual usage data Reduce your cloud costs - SREs/DevOps/Cloud Engineers Hi community! We are Kaytu (“Kay-two,” named after the K2 mountain), and we've developed an open-source tool for engineering, DevOps, and SRE teams to reduce cloud costs. Cloud inflation (“cloud-flation”) is real—AWS EC2 costs are up 23% (4-5x global inflation average [1]), and 30% of the capacity that is paid for is simply wasted ([2]). The best way to improve cloud utilization is by simplifying the process so engineers can spot inefficiencies and suggest changes. We built a simple open-source CLI tool that recommends a cost-optimal workload based on actual usage data from observability tools. Check it out at https://ift.tt/ZmAUbgL Currently, we support AWS EC2 On-Demand Servers & EBS Storage using observability data from CloudWatch to determine utilization. You can optimize EC2 Servers based on CPU, Network, Memory, and Storage. We're expanding support to include OS License, GPU metrics, RDS, and Prometheus integration, and we plan to add more AWS services like EKS and OpenSearch, as well as Azure. This is more than just a utility—we want to provide a no-nonsense platform that makes it ridiculously easy for engineers to build cost-effective apps on the cloud by optimizing workload configurations and customizing to scenarios. Open Core: Inspired by Sid Sijbrandij and GitLab, we've open-sourced our CLI and are actively working on the server side. Our tooling will always remain straightforward and support open-source tools for free. We made it as simple as possible to try out - it’s one command, no sign-up needed, no SaaS platform to share your credentials. We would love you to try it out and give us your feedback! If there are bugs, we would greatly appreciate it if you reported them on GitHub. Cheers, The Kaytu Team (Anil, Arta, Mahan, and Saleh) References: [1]Tangoe IT Trends Savings Recommendations and Liftr Insights data Cloud Pricing [2] Flexera State of Cloud Report - Multiple reports spanning 2017-2023 https://ift.tt/ZmAUbgL April 29, 2024 at 09:27PM

Show HN: See SAT sites close to you for June SAT https://ift.tt/VxsyKTB

Show HN: See SAT sites close to you for June SAT https://ift.tt/FDgCxYs April 29, 2024 at 08:37AM

Show HN: Bard PDF – Chat with Pdf in Google Bard or Gemini https://ift.tt/akhyfAv

Show HN: Bard PDF – Chat with Pdf in Google Bard or Gemini Chat with pdf in Google Bard or Gemini for free. Several ways to have conversations with pdfs in Google Bard or Gemini. https://bardpdf.dev April 29, 2024 at 08:31AM

Show HN: Dotenv, if it is a Unix utility https://ift.tt/e7cHI1a

Show HN: Dotenv, if it is a Unix utility I like the idea of using dotenv files, but I dislike having to use different language-specific libraries to read them. To solve this, I created a small utility that lets you prefix any command with "dotenv" to load the ".env" file. This is how I imagine dotenv would work if it had started as a UNIX utility rather than a Node.js library. https://ift.tt/wxABT1s April 29, 2024 at 01:55AM

Show HN: Audio Mastering with Text Prompts https://ift.tt/EycGHRi

Show HN: Audio Mastering with Text Prompts https://diktatorial.com April 28, 2024 at 11:35PM

Show HN: Is_ready – Wait for many services to become available – 0 Dependencies https://ift.tt/NlUeISh

Show HN: Is_ready – Wait for many services to become available – 0 Dependencies https://ift.tt/cR1yLNf April 28, 2024 at 03:24AM

Show HN: Scenestamps – A website for sharing movie scenes with timestamps https://ift.tt/qG9FUjD

Show HN: Scenestamps – A website for sharing movie scenes with timestamps Hello hackers, I've launched a website specifically for sharing scenes, complete with descriptions and timestamps from various films and TV shows. I'm reaching out to gather your perspectives and recommendations in these domains to improve the site and extend my outreach. Link : https://scenestamps.com You are not required to register/login to browse the site. Scenestamps Features: 1. Search : You can directly search for a scene or a source. 2. Upload Posts : You can register with your google account, login and start posting right away. Unlike other sites in this specific domain, users are allowed to upload posts. There are two types of posts - scene - source Source is a movie,tv show, documentary, etc... One source can have multiple scenes While creating a scene post, source can be selected there. Scene post will have the timestamp fields. There are two types of it: - single - one input field of timestamp in which the scene happens. - from-to - two input fields, from and to within which the scene takes place. 3. Share posts : Share feature is available on both source and scene posts, with which you can share the post to your favorite social media platforms 4. Tagging system : You can add tag to the scene posts. You can also get all the scenes that has that tag name by clicking on it. I think people wanting to create scenes is quite a small audience, but I want to make this the best it can possibly be so please post any problems or suggestions in the replies or at reddit.com/scenestamps.com or message me x.com/gjpx_ if you prefer. April 26, 2024 at 12:10PM

Show HN: Htpy – generate HTML from Python without templates https://ift.tt/GzMiuJZ

Show HN: Htpy – generate HTML from Python without templates I built a library that to generate HTML from Python. We have been using this library with Django the last couple of months instead of classic templates and find it to be productive. It is easy to debug, works great with static type checkers and it is easy to build reusable components/partials. Give it a try! https://htpy.dev April 28, 2024 at 01:04AM

Show HN: I want my family to listen to more music(less movies) https://ift.tt/D4yTJzl

Show HN: I want my family to listen to more music(less movies) I decided to use the home entertainment system to take over the TV. Limited visual stimulation. Front Row is a collection of live musical performances gathered by music fans of all kinds. https://thefrontrow.app Download for iOS or Apple TV https://ift.tt/pmh3UwM... And fuck it. I'm letting anyone add videos directly to the database! https://ift.tt/kXQvGI3 April 27, 2024 at 11:02PM

Show HN: Spade – UI for Data Processing https://ift.tt/rxAZ5O6

Show HN: Spade – UI for Data Processing https://ift.tt/RTVqQMs April 27, 2024 at 01:50AM

Show HN: I made a spaced repetition tool to master coding problems https://ift.tt/OfD5HTk

Show HN: I made a spaced repetition tool to master coding problems As you solve LeetCode questions, you can mark them as hard, medium, or easy. The tool will then recommend questions you should review based on (1) how hard the question was for you and (2) how much time has passed since you last reviewed it. I'd recommend normally attempting LeetCode problems and just marking them as hard, medium, or easy for you at first so the tool knows which problems to recommend you review! Here's the theory behind spaced repetition and learning if interested: https://ift.tt/qBmE43Y https://www.lanki.xyz/ April 27, 2024 at 01:08AM

Show HN: I Made an AI Software Engineer with Claude 3 Opus https://ift.tt/eRbAmp7

Show HN: I Made an AI Software Engineer with Claude 3 Opus https://saas-quick.com April 27, 2024 at 12:00AM

Show HN: I made a site for practicing front end debugging with real-world bugs https://ift.tt/l5BietK

Show HN: I made a site for practicing front end debugging with real-world bugs I am excited to introduce my solo project, a platform built with the frontend development community in mind. It's an interactive environment aimed at refining debugging skills through exposure to real-world bugs. This project stems from the need for a hands-on, practical method of learning to debug. The site features a variety of intentional bugs for users to solve, mirroring the types of challenges faced in professional settings. Over the coming weeks, I will be adding many more exercises and new features to enhance your learning experience further. Check out CodeMender at https://ift.tt/FV9p1sH https://ift.tt/FV9p1sH April 26, 2024 at 11:29PM

Show HN: I built an AI tutor that explains questions from pictures https://ift.tt/jCibndz

Show HN: I built an AI tutor that explains questions from pictures Hey HN! I've been spending the last 2 weeks to create an AI to help students, one tap picture -> steps + answers to solve it. Let me know if it seems interesting and works on your questions! Would also love any other feedback https://ift.tt/Qlenzp5 April 26, 2024 at 04:11AM

Show HN: I put PubMed in a vector DB https://ift.tt/6fV9nZ7

Show HN: I put PubMed in a vector DB Hi HN, As a researcher, I often found myself struggling with the limitations of keyword-based search when exploring PubMed papers. To address this, I created PubMed Search ( https://ift.tt/J2qY0dK ), a tool that leverages a vector database to enable semantic search across medical research literature. Some key features: * Daily updates to ensure access to the latest articles * Semantic search using latest & greatest embedding models * Some additional useful info about the papers (tldr, journal, publication date, etc.) Hope you find it useful! https://ift.tt/J2qY0dK April 26, 2024 at 01:23AM

Show HN: I've developed an open-source proxy server for front end applications https://ift.tt/RNJyD9G

Show HN: I've developed an open-source proxy server for front end applications Hey Everyone! I’ve recently been working on an open-source proxy server to help front end applications securely access third party APIs that require confidential API keys without the need to create your own backend. I would love to get some feedback and hear what you think! https://ift.tt/zu5fUDd April 25, 2024 at 05:32AM

Show HN: Serverless VPN for Lifetime https://ift.tt/WG7zdD0

Show HN: Serverless VPN for Lifetime https://ift.tt/suVEDl9 April 25, 2024 at 12:49AM

Show HN: Open-source alternative to HashiCorp/IBM Vault https://ift.tt/3RQjtEO

Show HN: Open-source alternative to HashiCorp/IBM Vault https://ift.tt/s0Xyeqp April 25, 2024 at 02:32AM

SHOW HN: I coded an espresso brewing app to keep all information at one place https://ift.tt/xV8ZLyi

SHOW HN: I coded an espresso brewing app to keep all information at one place https://ift.tt/0HOUpVr April 25, 2024 at 12:09AM

Show HN: Just launched the Bento creation tool to rule them all https://ift.tt/NYzXKln

Show HN: Just launched the Bento creation tool to rule them all https://ift.tt/0eJOjxl April 24, 2024 at 11:13AM

Show HN: Llama 3 with function calling and code interpreter https://ift.tt/k5Lf3HW

Show HN: Llama 3 with function calling and code interpreter https://ift.tt/icXPqls April 24, 2024 at 05:15AM

Show HN: Use LLMs to Interact with APIs https://ift.tt/sCvm4j7

Show HN: Use LLMs to Interact with APIs Recently featured in a LangChain blog https://ift.tt/v7Bfuje... , use LLMs to construct an API first runnable workflow with an IDE experience. https://ift.tt/3oK2tXQ April 24, 2024 at 03:53AM

Show HN: Storing Private Keys in the Browser Securely https://ift.tt/wCZ2GNK

Show HN: Storing Private Keys in the Browser Securely So the main purpose here is to show _a_ way that session-token theft can be mitigated. Clearly, this isn't NSA proof or something you'd use to secure a BL5 containment facility, but to prevent session-jacking; if feels like it could help a lot, and would be pretty quick and easy to roll out if an IDP wanted to implement it. https://ift.tt/XrUYbsc April 24, 2024 at 12:32AM

Show HN: Source Code for CSVs https://ift.tt/sTIrjM6

Show HN: Source Code for CSVs https://ift.tt/chDqolP April 22, 2024 at 05:30PM

Show HN: Metashade – a Pythonic GPU shading/compute EDSL https://ift.tt/ynMqEYP

Show HN: Metashade – a Pythonic GPU shading/compute EDSL Superficially, it may look similar to Nvidia's Warp or OpenAI's Triton, but instead of transpiling a subset of Python to the target language, it implements dynamic codegen in pure Python. These slides discuss the existing GPU programming solutions and make a case for Metashade's approach: https://ift.tt/9enzb6N... https://ift.tt/BvxgTmd April 22, 2024 at 04:51AM

Show HN: Wonkypedia - Wikipedia from an Alternate Timeline https://ift.tt/FmpcRTB

Show HN: Wonkypedia - Wikipedia from an Alternate Timeline https://ift.tt/WaABXIx April 23, 2024 at 01:26AM

Show HN: Auto-optimizing deterministic LLM outputs using knowledge graphs https://ift.tt/cVsnF9k

Show HN: Auto-optimizing deterministic LLM outputs using knowledge graphs Hi, We are building an open-source framework for loading and structuring LLM context to create accurate and explainable LLM answers using knowledge graphs and vector stores. We built the tool with four main concepts in mind: 1. Loader -> uses dlt in the backend to load and structure the data 2. Cognify step -> creates a graph with summaries, labels and factoids that are interconnected across the documents and stored as a representation in the vector store 3. Optimizer -> Uses DSPy to optimize LLM queries, and we plan to extend it to most of the knobs we can turn, like chunking etc. 4. Search -> allows for searching using search types supported in graph stores (ex. Neo4j) or hybrid, BM25, or other search types available in vector stores. We are quite early with the product but we would love to hear feedback on what we can improve. https://ift.tt/iymv0eR April 22, 2024 at 11:55PM

Show HN: Fast Calendar Algorithms https://ift.tt/y2I4WSr

Show HN: Fast Calendar Algorithms I've done this work not long ago and I reckon that the name of the github repo doesn't help people searching for calendar algorithms. (Too late to change it now.) The name of the repo, eaf, comes from Euclidean Affine Functions which are the type of functions behind the algorithms. https://ift.tt/SRNLV6B April 22, 2024 at 06:32AM

Show HN: LLaMA 3 tokenizer runs in the browser https://ift.tt/i2Fo940

Show HN: LLaMA 3 tokenizer runs in the browser https://ift.tt/OdcMLeq April 22, 2024 at 05:07AM

Show HN: AppView 1.0.0 is released Instrument, Observe, Secure your deployments https://ift.tt/HiJrcYS

Show HN: AppView 1.0.0 is released Instrument, Observe, Secure your deployments AppView is an open source, runtime-agnostic instrumentation utility for any Linux command or application. It helps users to explore, understand, and gain visibility with no code modification. With one instrumentation approach for all runtimes, AppView offers ubiquitous, unified instrumentation of any unmodified Linux executable. With AppView 1.0.0 comes the new threat detection logic that allows users to capture security-related events. Is your application accessing secure files? Is it making connections it shouldn't be? Is it exfiltrating data over DNS or is GOT poisoning in effect? Other features of the 1.0.0 release include the ability to: - Generate metrics on process and application performance. - Generate events, reporting on network, file, logs, console messages and http/s activity. - Capture (decrypted) payload data without the need for keys. - Generate a stack trace, and a core dump when an application crashes. - Generate network flow information. - Create a report on unique file and network activity. - Install AppView in a Kubernetes cluster. - Secure file and network access in an application. - Instrument both static and dynamic executables. - Attach to processes while they are running or start when the process does. - Normalize and forward metrics and events, in real time, to remote systems. - Summarize metrics and detect protocols. We are looking for users and contributors alike. https://appview.org/ April 21, 2024 at 10:52PM

Show HN: What Are You Working On? https://ift.tt/KpGwhvQ

Show HN: What Are You Working On? Hey HN, I'm sure you've seen the monthly "Ask HN: What Are You Working On?" headlines on [Hacker News]( https://ift.tt/kuHOVCQ... ). Honestly, it's my favorite topic because it's packed with insights about what other hackers are up to. I wondered what it would be like if instead of just a headline, there was a whole website where hackers could post daily updates, and where we could follow the hackers we're interested in for their latest updates. And so, this web site was born. I hope it gets used frequently so we can all benefit from it together. I look forward to hearing your thoughts. Let me know what you think! https://ift.tt/4acdygo April 21, 2024 at 05:13PM

Show HN: We relaunched the Official MTA App for NYC public transit https://ift.tt/276Njeu

Show HN: We relaunched the Official MTA App for NYC public transit https://ift.tt/zKmOBL5 April 19, 2024 at 10:16PM

Show HN: LLM Scraper – turn any webpage into structured data https://ift.tt/euVxXQU

Show HN: LLM Scraper – turn any webpage into structured data https://ift.tt/t8kWzNQ April 21, 2024 at 02:07AM

Show HN: Edit This Page – Frictionless Content Collaboration https://ift.tt/k7xC5vT

Show HN: Edit This Page – Frictionless Content Collaboration https://ift.tt/H1tpGNq April 20, 2024 at 08:27PM

Show HN: Exploring Indra's Pearls with WebGPU https://ift.tt/4Oa8qVk

Show HN: Exploring Indra's Pearls with WebGPU https://ift.tt/c374PjM April 20, 2024 at 10:10PM

Show HN: I built a small utility that handles multiple browser instances for you https://ift.tt/0Dn9hzW

Show HN: I built a small utility that handles multiple browser instances for you I'm a consultant and I normally deal with multiple clients. I need an isolated browser for each to maintain my sanity. I could create separate profiles in Chrome and Firefox but the main issue is when you click on a link outside of the browser (e.g. in your IDE), in which profile should it be opened? I wrote a Python script that redirects URLs to the correct browser instance and set it as my default browser. Over time, the script has grown and become essential to my work. I cleaned it up and open-sourced it. Hope that someone else may find it useful too! https://ift.tt/4BKuUsI April 20, 2024 at 06:33AM

Show HN: Talk to Me Human – my game about social persuasion https://ift.tt/MDca7sj

Show HN: Talk to Me Human – my game about social persuasion Hey all, I recently graduated from a good PhD program studying NLP. Unlike any sane person who would go become a professor or make a gazillion dollars in industry, I decided to try bootstrapping my own software business. This is my first product. The inspiration was from my research on computers understanding social norms. When ChatGPT came out, I was amazed how well it could understand social etiquette. I thought it'd be fun to make a game where you have to talk your way out of sticky situations - like you miss your friend's birthday party, or your boss catches you trying to leave work at 2pm. I made a prototype in a couple days, and it was super fun to play with. I thought I'd spend a "couple months" making a game for others to play online. Now, only 10 months and 923.3 hours of work later, it's playable in early access. In the game, you talk out loud (ASR), and the NPCs (LLM + TTS) talk back at you. It is fun to play with a friend! And because it's just talking, non-gamers do great, often better than gamers. I really want to have a free demo, but no time yet to implement. For now, it's purchase only ($4.99). If anyone decides to try it, I'd really love to get more feedback. It was an enormous learning experience, especially targeting the web - so many partially supported web APIs and browser inconsistencies! Still feels like 2008 in some ways. Also happy to answer questions of course. Thanks, and enjoy the weekend! https://ift.tt/90JV2dr April 20, 2024 at 01:33AM

Show HN: Finazon – Financial data marketplace to substitute Bloomberg https://ift.tt/8Dpdsvu

Show HN: Finazon – Financial data marketplace to substitute Bloomberg https://finazon.io// April 19, 2024 at 08:55PM

Show HN: Composable (as in iGoogle, but modern) privacy-friendly new tab https://ift.tt/kPsH5x7

Show HN: Composable (as in iGoogle, but modern) privacy-friendly new tab I spent quite a lot of time working on this one over the last 1.5 years. It started as a small project for my personal use because I wanted to keep all my self-hosted services visible so I wouldn't forget they existed lol. Using a web page wasn't ideal because of the white flicker every time I opened a new tab, so I decided to make this into a browser extension. From that time on, it became a lot bigger and got some traction (which I'm very happy about). It's made with React, but I tried to squeeze maximum performance (limited by my skills and desire to keep it somewhat readable, though) out of it. UI/UX was a big priority for me in this project, so I also tried to streamline it as much as possible and make Anori a joy to use. If you decide to try it, let me know how good I did! Oh, and it's open source [1] and the process of adding new widgets is documented [2], so you can make your own! [1]: https://ift.tt/EqwbCZj [2]: https://ift.tt/1xbP6N8... https://anori.app/ April 19, 2024 at 02:04PM

Show HN: An app that takes your money if you don't reach your goals https://ift.tt/LnrjGwC

Show HN: An app that takes your money if you don't reach your goals My wife and I just launched this app because we had so much fun with a fitness challenge we did we some friends recently where everyone put in $100 and defined their goals, then only the people who met their goals split the pot. It made us realize there's really no better motivator than money. It's better on mobile screens right now as we just designed for mobile screens for now. And we did manage to put it up on both app stores - it's low in the ranks but you should be able to search it by "Goalie challenges". We built it using the leanest tech stack - Ruby on Rails, server-side HTML (no JS), tailwindcss, then packaging it for iOS and Android using pwabuilder! https://goaliemvmt.com/ April 19, 2024 at 04:32AM

Show HN: Tiger – Function Hub for LLM Agents https://ift.tt/13n0aoR

Show HN: Tiger – Function Hub for LLM Agents https://ift.tt/ia9pL2E April 19, 2024 at 02:58AM

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