Show HN: torbb – Now with Tor, run BrowserBox as a hidden service instantly https://ift.tt/o5kXquF

Show HN: torbb – Now with Tor, run BrowserBox as a hidden service instantly https://ift.tt/GEqRMo7 November 20, 2023 at 12:52AM

Show HN: "Awesome" Engineering Games (List) https://ift.tt/8Ouxhj1

Show HN: "Awesome" Engineering Games (List) I've spent way too much time both playing and finding engineering-focused games, and haven't been able to find very detailed or comprehensive lists online. So I made one :) These games are both fun and often quite educational, presenting gamified versions of real-world challenges and professions. There's a lot of different sub-genres of "engineering game", such as: * Factory automation (Factorio, Dyson Sphere Program) * City builders (Cities: Skylines, Anno series) * Route-builders (Mini Motorways, Railway Empire) * Comp sci (TIS-100, Bitburner) All games on the list are very highly reviewed. I've played most (but not all) of them, and provided personal recommendations alongside the reviews. Many of them are also playable on GeForce Now (if you don't have a gaming PC). Please contribute if you know of more, or have any comments/suggestions! https://ift.tt/eULx6Ya November 20, 2023 at 12:52AM

Show HN: YouTube banned adblockers so I built an extension to skip their ads https://ift.tt/DzSqabc

Show HN: YouTube banned adblockers so I built an extension to skip their ads Hi HN! Since Youtube no longer allows AdBlockers, I built my own extension to get around their video ads. If there is an ad it temporarily manipulates the video; Mutes the volume, sets speed to 10x, and skips it if there is a button. Chrome Webstore link: https://ift.tt/Z1rhzkJ Code: https://ift.tt/7b610ND November 19, 2023 at 06:24AM

Show HN: Bemi – data versioning and time travel for PostgreSQL https://ift.tt/lvUg5iw

Show HN: Bemi – data versioning and time travel for PostgreSQL Hi HN, we’re Evgeny, Arjun, and Donna - the builders of Bemi ( https://bemi.io ). Bemi is an enhancement of your existing transactional database to unlock time travel querying. We enable engineers to track all PostgreSQL state changes. We used to all work together at a startup five years ago, and now have got the gang back together to work on Bemi! Many open-source libraries already track data changes, but they’re not reliable since they don’t track changes made outside ORMs with direct SQL queries. Additionally, they come with runtime performance overhead since they’re making database inserts in callbacks. We’ve also consistently seen hacks that engineers write on top of the libraries to store additional context or make it easier for them to query. There are databases already available for event sourcing, but we take a fundamentally different approach. We don’t want engineers to have to rearchitect their existing code, switch to highly specialized databases, or use unnecessary git-like abstractions. We want your system to work the way it already does with your existing database to allow keeping things as simple as possible. Bemi uses change data capture (CDC) by connecting to a built-in replication log of a database, ingesting all changes on the database level, and storing them in a structured format in a destination database. The database connection details can be securely configured through our dashboard UI in a few seconds. People also try adding database triggers to track low-level data change. The main difference is that Bemi integrates not just on the database level, but also on the application level with packages in the most popular frameworks (being released soon) and a Bemi worker automatically stitches application metadata with the lower-level change data to get the “where” (API endpoint, worker, and so on) and “who” (user, cron job, and so on) behind a change. This allows being able to revert all data changes made within an API request, for example. For the sake of transparency, we intend to make money by implementing usage-based pricing and a multi-cloud hosted option. Bemi’s free for early adopters. We are still early though and would love your feedback. What do you think HN? https://bemi.io/ November 17, 2023 at 09:42PM

Show HN: nbi.ai – Generative Business Intelligence https://ift.tt/1wEIoCz

Show HN: nbi.ai – Generative Business Intelligence https://ift.tt/zKj1Nq7 November 18, 2023 at 02:48AM

Show HN: Turn your kid's drawing into a hardcover storybook (using GPT vision) https://ift.tt/J9ID6bM

Show HN: Turn your kid's drawing into a hardcover storybook (using GPT vision) Here's a video demo if you're just curious to see it in action: https://ift.tt/LKkT9sq Feedback welcome. https://ift.tt/qJf4bDZ November 18, 2023 at 01:36AM

Show HN: Challenge Your AI Agents/custom GPTs – Can They Survive My Tester? https://ift.tt/dKUw7H1

Show HN: Challenge Your AI Agents/custom GPTs – Can They Survive My Tester? I've pivoted to create AI Agent Tester, a SaaS platform dedicated to testing and validating AI agents from OpenAI, Character.ai, and FlowGPT.com. The platform offers: - Hassle-Free Setup: Get your first simulation up and running in just 5 minutes. - Realistic Simulations: Rigorous user interaction tests to prep your AI agent for real-world scenarios. - Intelligent Scoring: Each response is meticulously evaluated, scoring from 0 to 100(GPT-4 smart enough to evaluate it for you). - Broad Platform Support: Initially rolling out with OpenAI, Character.ai, and FlowGPT.com compatibility. The link: https://ift.tt/4Uj2Cof Eager to hear your thoughts and discuss improvements! https://ift.tt/4Uj2Cof November 17, 2023 at 07:46PM

Show HN: Beta test Execute Program's interactive "Python for Programmers" course https://ift.tt/62KxmYu

Show HN: Beta test Execute Program's interactive "Python for Programmers" course I'm Gary Bernhardt, founder of Execute Program. Our "Python for Programmers" course is in a free open beta for the next week or so. We don't normally do open betas, but the infrastructure behind this course is new and very complex, so we want to stress test it. https://ift.tt/al71Wj5... Today, "Python for Programmers" contains 581 interactive code examples covering the core language. It's aimed at established programmers, not beginners. We don't explain basic language features like `while`, but we do show them briefly and note anything special about how they work in Python. We pay special attention to foot guns. For example, we have an entire lesson about Python's mutable default argument foot gun. This is the first of two courses, with the second coming in 2024. For this course, we drew the line at __dunder__ methods: if a topic requires a dunder method other than `__init__`, then it'll be in the follow-up course. This beta is concurrent with the tail end of our editing process, so you may see the course grow by another 17 lessons (214 code examples) during the beta. Some details about how the course works internally, and why we need a beta at all: First, all Python code in the course runs in your browser via Pyodide. (Reality continues to look more and more like my PyCon 2014 talk [1].) You'll feel a pause when the first code example runs, as your browser loads and boots CPython (around 12 MB). After that, it should be as responsive as a local app. Second, if you look at the course page, you'll see that it's structured as a DAG, similar to a "tech tree" in Civilization, Age of Empires, Stellaris, Satisfactory, etc. (Some of those games have true trees, but some of their "trees" are actually DAGs like ours.) You make progress through the course by traversing one graph edge at a time. Our courses have always been structured as graphs internally, but the raw graphs are simply unreadable due to the number of edges [2]. This year, I taught Execute Program to simplify its own course graphs by breaking them into the level subgraphs that you see on the page, so we can finally render them. It automatically turns the mess that I linked above into the clean graphs that you see in the course. The graph for this course is currently a bit dull, but it'll fill out as we finish editing the remaining lessons. I like Everyday TypeScript's graph [3] the best. Please try the course and use the "Give Feedback" entry in the menu to tell us what you think! I'll also stick around in this thread today. [1] https://ift.tt/hGqvaQr... [2] https://ift.tt/JuP81p5... [3] https://ift.tt/BEHaqiM https://ift.tt/q4rMcw5 November 17, 2023 at 02:51AM

Show HN: I made a really silly personal landing page https://ift.tt/sgy5oSA

Show HN: I made a really silly personal landing page Also, yes I am looking for a new role https://ift.tt/EZDH1Jg November 17, 2023 at 02:36AM

Show HN: Tiny LLMs – Browser-based private AI models for a wide array of tasks https://ift.tt/stUj2ui

Show HN: Tiny LLMs – Browser-based private AI models for a wide array of tasks https://ift.tt/0q8vYP2 November 17, 2023 at 02:13AM

Show HN: Version code, models, & datasets together in GitHub https://ift.tt/4RzKLag

Show HN: Version code, models, & datasets together in GitHub Hi HN! We just launched a GitHub integration that scales your Git repos to handle 100 terabytes of files in a single repo. XetData enables data scientists and machine learning engineers to version code, models, and datasets together. Most teams have glued together clunky workflows using S3, DVC, Git, Git LFS, and other tools and make true reproducibility difficult: https://ift.tt/U6QEl4w We instead embrace and extend Git so end-users don’t need to learn a new tool and a new set of commands. Our implementation is similar to Git LFS, where we take over the .gitattributes file, push pointers to large files in GitHub, and push the raw, large files to us. We have a few distinct features that we’re proud of that improve the user experience: - Our XetData bot comments on your pull requests to provide links to useful dataset views and model diffs. We’re working on rendering these inside GitHub itself using browser extensions. - Git LFS and similar tools only implement file-level deduplication. We created a new technique called block-based deduplication (published in CIDR’23 conference) specifically for data and ML workflows. The ML lifecycle consists of making lots of iterative changes and our technique helps save storage and time spent downloading and uploading changes. - You can mount large repos to your local machine using git-xet mount for exploratory work. Individual files that are needed are streamed in just in time behind the scenes. We open sourced our implementation of mount and it was well received here on HN: https://ift.tt/X5YkjC7 - To give more users access to your data, just add them to your GitHub repo. This is a beta product and we would love all of your feedback. You can find all instructions to try this out here: https://ift.tt/uIPyvaV While we’re in beta, our product is completely free to use. We have a Slack you can join or a GitHub issue tracker. - Slack: https://ift.tt/l2krcJt - GitHub: https://ift.tt/JnU7bzG November 16, 2023 at 11:56PM

Show HN: LiftLog – An easy to use open source gym tracking app https://ift.tt/iAUNuwe

Show HN: LiftLog – An easy to use open source gym tracking app I've been working on an open source iOS and Android app for keeping track of the weight you lift at the gym. You can select a plan from a list of included ones, or create your own. I made LiftLog after trying numerous apps and finding either that they were really cumbersome to use, or only usable with a subscription. LiftLog stores everything locally on device and loads quickly. LiftLog is entirely open source and licensed under the AGPL. https://ift.tt/ilGdQJk November 16, 2023 at 04:29AM

Show HN: AI Receptionist, Speaks 64 Languages https://ift.tt/f5SLkGb

Show HN: AI Receptionist, Speaks 64 Languages If you are looking for a receptionist for your startup, consider using Lomni. Lomni is an AI receptionist that can: * Read your website to answer questions * Upsell your product or service according to your instructions * Send texts and emails to you or the caller, for example: * Send links and confirmation texts to callers * Forward customer feedback to support@startup.com * Connect to any API or webhook, in order to: * Generate leads * Book appointments * Process payments * Integrate with any application * Read from and write to your database * Do all of the above in any language, all day, everyday. * Do all of the above over SMS messaging or a chatbot that you could embed into your website. * Coming very soon: Do all of the above over WhatsApp, Facebook Messenger, and Google’s Business Messages. * Coming very soon: generate actionable insights from conversational data using state-of-the-art machine learning. Pricing: Lomni can do all of the above starting at $89/month, approximately 9 cents per minute of calling. This is 1/10th to 1/20th of the standard pricing of calling centres. Custom Demo: Set up in 30 minutes using our user-friendly dashboard and start testing. Alternatively, email hello@lomni.ai for a free custom demo. https://lomni.ai/ November 16, 2023 at 01:59AM

Show HN: Multi-Object Tracking in Python https://ift.tt/4nwVYNW

Show HN: Multi-Object Tracking in Python Hello! I've created a small library for tracking, along with a tutorial. I plan to continue developing it. Tracking is an important topic, closely related to object detection. However, I've noticed that it doesn't receive as much attention compared to machine learning approaches. Or, the focus is on filters like the Kalman filter. This tutorial begins with single object tracking and progressively complicates the tasks, introducing various models and a hypothesis tree to solve them. https://ift.tt/4swoFOJ November 16, 2023 at 12:06AM

Show HN: Movis – A Video Editing Library in Python https://ift.tt/Nrgvcym

Show HN: Movis – A Video Editing Library in Python Originally, this library was created due to my motivation to make videos in Python. Of course, I considered other Python libraries, but I decided to create a new library for video editing because I needed the following features and also for study purposes: - The existence of composition. Especially, the ability to perform advanced video editing by inserting compositions within compositions. - The ability to add animations based on keyframes. - Effects like chroma key and drop shadow. - A caching mechanism to render the same frame quickly. - Various blending modes. These features, despite being standard in proprietary video editing software, were not present in previous Python libraries. Currently, I am using this library to automatically generate videos from raw materials. I would be grateful for any comments, thoughts, or requests. https://ift.tt/79oD0qX November 15, 2023 at 10:50PM

Show HN: Soccer video analysis from your match videos https://ift.tt/ZvjO0xy

Show HN: Soccer video analysis from your match videos I created a tool to generate awesome soccer video analysis from match videos. I'm no pro player, just play with my friends weekly, record our matches, and use this tool to check out our performance. My friends really enjoy it and have suggested adding features like measuring player speed, tracking players positions, and more. https://futvis.com/ November 15, 2023 at 02:12AM

Show HN: Interactive Demo of a Tag-Based Bookmark Manager https://ift.tt/VPyBvp9

Show HN: Interactive Demo of a Tag-Based Bookmark Manager https://ift.tt/R6ctVSI November 14, 2023 at 10:08PM

Show HN: Find hidden engineering bottlenecks with LLMs https://ift.tt/CcXq72k

Show HN: Find hidden engineering bottlenecks with LLMs https://ift.tt/tyXqZTB November 15, 2023 at 12:32AM

Show HN: Llm.f90 fast, hackable transformer implementation in Fortran https://ift.tt/VBNjLMX

Show HN: Llm.f90 fast, hackable transformer implementation in Fortran I submitted an earlier version of this a few months ago (as llama2.f90). At that time it had a lot of steps to run and was just a toy, now it's easy to run and is a competitive option for llm inference. See the motivation section for discussion and the `Performance` issue for an ongoing discussion about performance. https://ift.tt/UoqfwSl November 14, 2023 at 01:17AM

Show HN: Twogether AI – Multi-Person Photo Generation API https://ift.tt/iMdpJcj

Show HN: Twogether AI – Multi-Person Photo Generation API Hey everyone, at Magicflow (YC W23) we're helping our customers run AI image generation in production, enabling them to produce high-quality photos at scale. We are launching a scalable API today that makes it possible to create multi-person portrait photos: which means the ability to create real-looking photos of any two persons interacting with each other in some way only by providing a prompt and the person's pose. Generating this kind of photo requires a deep understanding of the AI ecosystem, a knowledge gap many companies face. In order to make the photos look real with high consistency and for a low cost, chaining of many models is required, and an excellent understanding of how to tweak with the various params of each one. We also handle the infrastructure required to generate the photos, which can be a challenge when dealt with alone, especially for companies with a small backend team (we can scale to thousands of requests per day and generate 100 photos in about 3 minutes). Our customers today use this technology for the following use cases: creating new photo albums from old-scanned albums, providing personalized content for user acquisition campaigns, enabling new kinds of experiences in physical venues, and creating humorous photos with celebrities. There is a significant tradeoff between creating a robust abstraction layer on top of Stable Diffusion capabilities and providing customers with more control over various options. The API currently allows you to manipulate the following parameters: the pose of the couple (hugging, taking a selfie, etc.), their facial expressions, the style of the photo (realistic, cartoon, painting, etc.), as well as the location, theme, and outfits (e.g., ski vacation, on the beach) We created a free demo app for you to view examples and try live: https://ift.tt/fM6tdIq (no user or payment needed). For full API access, contact me at yardenst@magicflow.ai. We can typically set you up within a day, but an onboarding session is required to ensure responsible API usage. https://ift.tt/GyTZnsv November 13, 2023 at 08:37PM