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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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