Show HN: Lightweight, React IDE component which runs user written Python code https://ift.tt/CPLVBdy

Show HN: Lightweight, React IDE component which runs user written Python code Hi there, I built a React code editor component that also compiles, executes and returns the outputs of the program written in it (via pyodide/webassembly). I believe that this is a useful package for those building projects with web-based code editors. Expanding the library to be more flexible + have greater language support is a goal for the future. Hope it helps someone out there - please feel free to reach out if I can assist. Feedback and suggestions are always welcome. https://ift.tt/zCeWpgx May 1, 2024 at 06:54AM

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

Show HN: I built a Plant Identification Tool Powered GPT4 Vision https://ift.tt/jOyGnc2 April 30, 2024 at 09:53PM

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

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/iySbl1e April 30, 2024 at 10:56PM

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

Show HN: Community-written abstracts for research papers https://ift.tt/fL0He7x April 30, 2024 at 11:04AM

Show HN: Define and implement any function on the fly with LLMs https://ift.tt/USYLq7e

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/Zt7IBVf April 30, 2024 at 04:29AM

Show HN: Attorch – PyTorch's nn module written in Python using OpenAI's Triton https://ift.tt/U6T9DEn

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/HgZJAnh April 30, 2024 at 01:07AM

Show HN: Kaytu – Optimizing cloud costs using actual usage data https://ift.tt/pLZ8qK7

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/YQEuU2t 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/YQEuU2t April 29, 2024 at 09:27PM

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

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/oENPs3W

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/CzSNBHn April 29, 2024 at 01:55AM

Show HN: OpenLIT – Open-Source LLM Observability with OpenTelemetry https://ift.tt/ir8UYQB

Show HN: OpenLIT – Open-Source LLM Observability with OpenTelemetry Hey HN, we're super excited to share something we've been working on: OpenLIT. After an engaging preview that some of you might recall, we are now proudly announcing our first stable release! *What's OpenLIT?* Simply put, OpenLIT is an open-source tool designed to make monitoring your Large Language Model (LLM) applications straightforward. It’s built on OpenTelemetry, aiming to reduce the complexities that come with observing the behavior and usage of your LLM stack. *Beyond Basic Text Generation:* OpenLIT isn’t restricted to just text and chatbot outputs. It now includes automatic monitoring capabilities for GPT-4 Vision, DALL·E, and OpenAI Audio. Essentially, we're prepared to assist you with your multi-modal LLM projects all through a single platform and we're not stopping here; more updates and model support are on their way! *Key Features:* - *Instant Alerts:* Offers immediate insights on cost & token usage, in-depth usage analysis, and latency metrics. - *Comprehensive Coverage:* Supports a range of LLM Providers, Vector DBs, and Frameworks - everything from OpenAI and AnthropicAI to ChromaDB, Pinecone, and LangChain. - *Aligned with Standards:* OpenLIT follows the OpenTelemetry Semantic Conventions for GenAI, ensuring your monitoring efforts meet the community's best practices. *Wide Integration Compatibility:* For those already utilizing observability tools, OpenLIT integrates with various telemetry destinations, including OpenTelemetry Collector, Jaeger, Grafana Cloud, and more, expanding your data’s reach and utility. *Getting Started:* Check our quickstart guide and explore how OpenLIT can enhance your LLM project monitoring: https://ift.tt/sh9PrwT We genuinely believe OpenLIT can change the game in how LLM projects are monitored and managed. Feedback from this community could be invaluable as we continue to improve and expand. So, if you have thoughts, suggestions, or questions, we’re all ears. Let’s push the boundaries of LLM observability together. Check out OpenLIT here: https://ift.tt/JuZ813C Thanks for checking it out! https://ift.tt/JuZ813C April 26, 2024 at 03:15PM

Show HN: Scenestamps – A website for sharing movie scenes with timestamps https://ift.tt/Zmsry7I

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/4gpvQOh

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/ACZ4meM

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/wTb4PA1... And fuck it. I'm letting anyone add videos directly to the database! https://ift.tt/tfXDzPe April 27, 2024 at 11:02PM

Show HN: Spade – UI for Data Processing https://ift.tt/FIqh5N2

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

Show HN: I made a spaced repetition tool to master coding problems https://ift.tt/n3MQIYd

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/JYOb0yl https://www.lanki.xyz/ April 27, 2024 at 01:08AM

Show HN: I made a site for practicing front end debugging with real-world bugs https://ift.tt/1loVxMp

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/OUKrvHx https://ift.tt/OUKrvHx April 26, 2024 at 11:29PM

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

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 built an AI tutor that explains questions from pictures https://ift.tt/37hf0Ha

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/HblEAjf April 26, 2024 at 04:11AM

Show HN: From SERP to LLM-Ready Data Markdown in Seconds with Firesearch https://ift.tt/dJtYFKf

Show HN: From SERP to LLM-Ready Data Markdown in Seconds with Firesearch https://ift.tt/tV6FBXr April 26, 2024 at 01:59AM

Show HN: I put PubMed in a vector DB https://ift.tt/ucLz2vp

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/TRsexLk ), 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/TRsexLk April 26, 2024 at 01:23AM

Show HN: ReaperAI – Automatically delete dead code from your app https://ift.tt/nUex1SH

Show HN: ReaperAI – Automatically delete dead code from your app Hi all, We launched Reaper at the end of last year ( https://ift.tt/COdTLMj... ) with the goal of helping teams discover dead code in their mobile apps. Unlike typical static analysis that only finds technically unreachable code, Reaper is an SDK that monitors production data to discover code that's unused by real users (ex. stale feature flags). ReaperAI takes this a step further by actually being able to open pull requests in your repo to automatically delete the dead code that it finds. Here is a demo video: https://www.youtube.com/watch?v=y2FEaAmUvNw We're here to answer your questions & would love to hear any ideas or feedback you have! https://ift.tt/2GVmTLP April 25, 2024 at 09:55PM

Show HN: I've developed an open-source proxy server for front end applications https://ift.tt/ikFj4JS

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/WvKlheH April 25, 2024 at 05:32AM

Show HN: Serverless VPN for Lifetime https://ift.tt/g9Te64S

Show HN: Serverless VPN for Lifetime https://ift.tt/o78Clrd April 25, 2024 at 12:49AM

Show HN: Open-source alternative to HashiCorp/IBM Vault https://ift.tt/U0Mj1Cv

Show HN: Open-source alternative to HashiCorp/IBM Vault https://ift.tt/q620kRo April 25, 2024 at 02:32AM

SHOW HN: Espresso Brewing Guides https://ift.tt/K8PEZIz

SHOW HN: Espresso Brewing Guides https://ift.tt/ptTsWh2 April 25, 2024 at 12:09AM

Show HN: WP Foundry, a desktop WordPress management tool https://ift.tt/j0rSlRu

Show HN: WP Foundry, a desktop WordPress management tool https://wpfoundry.app/ April 24, 2024 at 07:44AM

Show HN: Just launched the Bento creation tool to rule them all https://ift.tt/dJWNR8w

Show HN: Just launched the Bento creation tool to rule them all https://ift.tt/KTd1ulQ April 24, 2024 at 11:13AM

Show HN: Use LLMs to Interact with APIs https://ift.tt/JQrgKU2

Show HN: Use LLMs to Interact with APIs Recently featured in a LangChain blog https://ift.tt/4iKjQYg... , use LLMs to construct an API first runnable workflow with an IDE experience. https://ift.tt/Zclt0Is April 24, 2024 at 03:53AM

Show HN: Storing Private Keys in the Browser Securely https://ift.tt/cMVsCF5

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/XKLiYxe April 24, 2024 at 12:32AM

Show HN: Source Code for CSVs https://ift.tt/m5QavOX

Show HN: Source Code for CSVs https://ift.tt/Gh85JW4 April 22, 2024 at 05:30PM

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

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/0ZouJhB... https://ift.tt/GACXBou April 22, 2024 at 04:51AM

Show HN: Wonkypedia - Wikipedia from an Alternate Timeline https://ift.tt/rB13qzF

Show HN: Wonkypedia - Wikipedia from an Alternate Timeline https://ift.tt/pwcXJE2 April 23, 2024 at 01:26AM

Show HN: Auto-optimizing deterministic LLM outputs using knowledge graphs https://ift.tt/sa0MN5S

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/DLuHZs5 April 22, 2024 at 11:55PM

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

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/wBKe0R2 April 22, 2024 at 06:32AM

Show HN: LLaMA 3 tokenizer runs in the browser https://ift.tt/KzdP5Uq

Show HN: LLaMA 3 tokenizer runs in the browser https://ift.tt/SRia2Tl April 22, 2024 at 05:07AM

Show HN: AppView 1.0.0 is released Instrument, Observe, Secure your deployments https://ift.tt/LdEN1eB

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/2d1LkSr

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/jJYSaRZ... ). 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/RINJ91w April 21, 2024 at 05:13PM

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

Show HN: LLM Scraper – turn any webpage into structured data https://ift.tt/of3Adqx April 21, 2024 at 02:07AM

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

Show HN: Edit This Page – Frictionless Content Collaboration https://ift.tt/Wijuw8P April 20, 2024 at 08:27PM

Show HN: Using Llama 3 for free in prod via OpenAI client https://ift.tt/JiK0teh

Show HN: Using Llama 3 for free in prod via OpenAI client https://twitter.com/JackCulpan/status/1781587325459591440 April 20, 2024 at 07:51PM

Show HN: I built a small utility that handles multiple browser instances for you https://ift.tt/Iq8HrsN

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/2vt8sFj April 20, 2024 at 06:33AM

Show HN: Composable (as in iGoogle, but modern) privacy-friendly new tab https://ift.tt/vA5e41b

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/CiWTORG [2]: https://ift.tt/OfN4bXC... https://anori.app/ April 19, 2024 at 02:04PM

 Preparing for CA Foundation Exam June 2024: A Comprehensive Guide

The CA Foundation exam is a significant milestone for aspirants aiming to embark on a rewarding journey in the field of Chartered Accountancy. As the June 2024 exam approaches, it's crucial for candidates to have a strategic and well-structured preparation plan. This blog aims to provide a comprehensive guide to help you prepare effectively for the CA Foundation exam\

1. Understanding the CA Foundation Exam

Overview of the CA Foundation Exam

The CA Foundation exam is an entry-level examination conducted by the Institute of Chartered Accountants of India (ICAI). It is designed to assess a candidate's knowledge and understanding of fundamental concepts in subjects like Accounting, Business Laws, Economics, and Quantitative Aptitude.

 Exam Pattern and Syllabus

The CA Foundation exam consists of four papers, each carrying 100 marks. The subjects included are:

• Paper 1: Principles and Practices of Accounting

• Paper 2: Business Laws and Business Correspondence and Reporting

• Paper 3: Business Mathematics, Logical Reasoning, and Statistics

• Paper 4: Business Economics and Business and Commercial Knowledge

Understanding the exam pattern and syllabus is essential to know what to expect and how to prepare effectively for each paper.

2. Creating a Study Schedule

 Importance of a Study Schedule

A well-structured study schedule is the foundation of effective preparation. It helps in organizing your study sessions, allocating sufficient time to each subject, and ensuring comprehensive coverage of the syllabus.

Tips for Creating a Study Schedule

• Prioritize Subjects: Identify your strengths and weaknesses and allocate more time to subjects that require more attention.

• Break it Down: Break down the syllabus into smaller topics and allocate specific days or weeks to each topic.

• Include Revision Time: Allocate time for regular revisions to reinforce your understanding and retention of concepts.

• Set Realistic Goals: Set achievable goals for each study session and monitor your progress regularly.

3. Effective Study Techniques

 Active Learning

Active learning involves engaging with the study material actively rather than passively reading or listening. Techniques like summarizing, explaining concepts in your own words, and teaching others can enhance understanding and retention.

Subheading: Practice through Mock Tests*

Mock tests are an invaluable resource for exam preparation. They help in familiarizing yourself with the exam pattern, managing time effectively, and identifying areas that require further improvement.

 Group Study

Studying in groups can be beneficial as it allows for collaborative learning. Discussing concepts, solving problems together, and sharing study resources can provide different perspectives and enhance your understanding of the subjects.

4. Revision and Time Management

 Importance of Revision

Regular revision is crucial to reinforce your understanding and retention of concepts. Allocate dedicated time for revision in your study schedule and make sure to revisit your notes, practice questions, and study materials regularly.

Time Management Tips

• Set Priorities: Focus on high-priority topics and allocate more time to subjects that require more attention.

• Avoid Procrastination: Start your preparation early and avoid leaving topics for the last minute.

• Take Breaks: Take short breaks during study sessions to avoid burnout and maintain productivity.

• Stay Organized: Keep your study materials, notes, and resources organized to save time and stay focused during study sessions.

5. Stay Motivated and Stay Healthy

 Importance of Motivation

Staying motivated throughout your preparation is essential to overcome challenges and stay focused on your goals. Remind yourself of the reasons why you chose to pursue CA and celebrate small achievements along the way to keep yourself motivated.

Take Care of Your Health

While preparing for the exam, it's important to take care of your physical and mental health. Eat a balanced diet, get sufficient sleep, exercise regularly, and practice relaxation techniques like meditation or yoga to stay healthy and reduce stress.

Conclusion

Preparing for the CA Foundation exam requires dedication, hard work, and effective planning. By understanding the exam pattern, creating a study schedule, adopting effective study techniques, managing your time efficiently, staying motivated, and taking care of your health, you can prepare effectively and increase your chances of success in the June 2024 exam.

Remember, each candidate's journey is unique, so tailor your preparation strategy according to your strengths, weaknesses, and learning style. Best of luck with your preparation for the CA Foundation exam!

Show HN: Tiger – Function Hub for LLM Agents https://ift.tt/i7HSyl9

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

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

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/bFs8wRh 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/2uX8SNR

Show HN: Vapi – Convince our voice AI to give you the secret code https://ift.tt/R1tdeob April 18, 2024 at 10:20PM

Show HN: Minard – Generate beautiful charts with natural language https://ift.tt/p13QJCf

Show HN: Minard – Generate beautiful charts with natural language Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!). Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now) For those curious, the stack is a simple Django app with HTMX/Alpine and all of the charts are specified and rendered as Vega ( https://ift.tt/jtskJr9 ). Lots of LLM function calling under the hood as well. https://minard.ai April 18, 2024 at 11:27PM

Show HN: I also made a three-body simulation https://ift.tt/WO93GRp

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/lWgc7J4 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/1MyFNKX

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/gvR7cwa 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/NYJeDa8 April 18, 2024 at 02:25AM

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

Show HN: Easy Folders – A folders based organization tool for ChatGPT and Claude Download for free: https://ift.tt/txpKqA6 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/BWnczje

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/L7ucnxU April 17, 2024 at 12:53AM

Show HN: Bridge – Automatic Infrastructure for Django https://ift.tt/4dkAnxQ

Show HN: Bridge – Automatic Infrastructure for Django https://ift.tt/4hsIolG April 16, 2024 at 10:38PM

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

Show HN: a Rust based CLI tool 'imgcatr' for displaying images cat for images, by RUST https://ift.tt/91S4kXI April 16, 2024 at 02:00PM

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

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/NzPjf1R April 16, 2024 at 06:29AM

Show HN: Building a GPS receiver https://ift.tt/Vm5Ie6F

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/8fUoB3y https://ift.tt/w9Bl4PJ April 15, 2024 at 08:12PM

Show HN: Minipic convert and compress images multiple formats locally in browser https://ift.tt/ZGM81x2

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/UWAsjv8

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/BAlhmVt April 14, 2024 at 11:08PM

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

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/9w6bLp0 April 14, 2024 at 12:38AM

Show HN: ZSV (Zip Separated Values) columnar data format https://ift.tt/qfb2gEP

Show HN: ZSV (Zip Separated Values) columnar data format A columnar data format built using simple, mature technologies. https://ift.tt/Xn3heuB April 14, 2024 at 01:22AM

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

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/ELuaxgH

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/jyS3hIa April 12, 2024 at 09:59PM

Show HN: CodeFusion, use LLMs with large codebases (with token context in mind) https://ift.tt/Wcp1YSE

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/njdCGIb April 11, 2024 at 10:21PM

Show HN: Generate Docker Artifacts to $PWD https://ift.tt/L8CQA1y

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/X6qBJY7 April 11, 2024 at 10:03PM

Show HN: Aarde – Self Replicating Programs https://ift.tt/47ZoFy9

Show HN: Aarde – Self Replicating Programs Last weekend I created a new visualization/demo. It's a sort of crossover between artificial life and defragmentation on MSDOS. The organisms "live" in the memory and continuously copy themselves to a free piece of memory. The programming language consists of only 5 instructions to keep it simple: S - Program start E - Program end F - Find location to copy to C - Copy to location J - Jump to start of program Every time a code is copied, a mutation can occur. We start with the following simple life form: SFCJE The rest is evolution. https://ift.tt/jlngrvU April 12, 2024 at 01:29AM

Show HN: Wunderbar, Learn Language While Working on Your Mac https://ift.tt/0iUIM7A

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/Av70lN9 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/KsAItp2

Show HN: Next-token prediction in JavaScript – build fast LLMs from scratch https://ift.tt/SFPMQRg 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/0VR3OUj

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/UrscqbS April 11, 2024 at 02:29AM

Show HN: Hacker News Blogroll https://ift.tt/p4xjyZK

Show HN: Hacker News Blogroll This was submitted about 9 months ago as a Show HN ( https://ift.tt/4eAG05O ), 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/RnDcFJ3 April 11, 2024 at 01:04AM

Show HN: Visualize eBay laptops in bulk with laptopscout https://ift.tt/YQF8uRz

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: AI reveals big companies secret strategies for business growth https://ift.tt/DrYJfZ0

Show HN: AI reveals big companies secret strategies for business growth EDOM.AI is the very first artificial Business-brain that allows you to Create , grow your business, start your business, and more. It gives you the secret strategies used by major companies like Nike, Apple, or Starbucks to inspire you from their success and lead your business to success. Walk on their success, learn from their mistakes, and make your dream come true. https://www.edom.ai/ April 9, 2024 at 11:44PM

Show HN: The fastest way to run Mixtral 8x7B on Apple Silicon Macs https://ift.tt/cK9XyaV

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/EHfBqac [3]: https://www.youtube.com/watch?v=4AE8yXIWSAA [4]: https://ift.tt/k4lXKVF April 8, 2024 at 09:37PM

Show HN: Neco – Coroutine Library for C https://ift.tt/in0JvTF

Show HN: Neco – Coroutine Library for C https://ift.tt/C9gh21S April 8, 2024 at 11:07PM

Show HN: Beyond text splitting – improved file parsing for LLM's https://ift.tt/4Zzg7h8

Show HN: Beyond text splitting – improved file parsing for LLM's https://ift.tt/7w4rPCW April 8, 2024 at 11:11AM

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

Show HN: AutoMQ - A Cost-Effective Kafka Distro That Can Autoscale in Seconds https://ift.tt/rIZE4t9 April 8, 2024 at 09:35AM

Show HN: HomeStage – Instant virtual furnishing with one click https://ift.tt/2sMDW6O

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/a5WQyzh

Show HN: Bonk, a command-line tool for X11 window management https://ift.tt/Q953qyS April 8, 2024 at 12:09AM

Show HN: Basecode – The fastest way to create a web app https://ift.tt/59ps8yB

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/O0kwMU4 April 6, 2024 at 06:27PM

Show HN: Bluetuith – A console TUI-based Bluetooth manager https://ift.tt/3R4kDod

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/s3Yviz0 April 6, 2024 at 12:17PM

Show HN: Kiwi – End-to-End Kafka Subscriptions with WebAssembly https://ift.tt/4ytWsrz

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/Gh4D0Cr April 6, 2024 at 10:00PM

Show HN: DigitalOcean + vercel on Your own baremetal servers https://ift.tt/IFPSTtB

Show HN: DigitalOcean + vercel on Your own baremetal servers https://demo.hoy.sh/ April 6, 2024 at 03:17PM

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

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/lvHcANy

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/Lg8k2mN

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/7cXYWKL... https://ift.tt/f5aRHTL April 6, 2024 at 02:18AM

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

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/B6HWMhV

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/5LWuiBn April 5, 2024 at 05:03AM

Show HN: FizzBee – Formal methods in Python – Easiest Lang for everyday use https://ift.tt/TCshek0

Show HN: FizzBee – Formal methods in Python – Easiest Lang for everyday use GitHub: https://ift.tt/6yXAMnP 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/6yXAMnP https://fizzbee.io/ April 2, 2024 at 04:15PM

Show HN: Managed GitHub Actions Runners for AWS https://ift.tt/eQdP3Rx

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/MuBG6JA . 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/TlYENwm 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: Generate a YC application with GPT-4 https://ift.tt/YF2qWvw

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Show HN: AI generator for faceless TikTok videos https://ift.tt/bVnM7GD

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Show HN: Find valuable expired domains easily https://ift.tt/M2AWgXa

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