Show HN: Let’s Gym, the app that lets you find a nearby Gym Partner https://ift.tt/Apt0wd1

Show HN: Let’s Gym, the app that lets you find a nearby Gym Partner Hi All, I recently launched the beta version of Let’s Gym and looking for people interested in using this app in hopes to get feedback. The app idea came up after I moved to a new city and all my buddies back home were the people I worked out with daily. My drive to the gym suffered since the workout “comradely” was no longer there. After speaking to most people around the city it seem it was a common theme of people moving here and not having a workout partner. There are facebook groups in some cities that try and alleviate this issue but the problem was that you couldn’t filter on the workout goal of the person and responses back was more of a miss than a hit using FB. We are in a very early beta in select cities in the US and would love feedback. https://www.letsgym.io/ June 30, 2022 at 03:44AM

Show HN: Calculator for US Individual Income tax, from 1970-present https://ift.tt/7Xki4UN

Show HN: Calculator for US Individual Income tax, from 1970-present I wanted to share a simple web app I created recently, which lets you estimate income taxes owed in the US: https://taxsim.app All the calculations occur directly in the browser, and are powered by a Fortran program that has been converted to WASM using emscripten. This calculator was originally developed in the 1970s [1] by the non-profit National Bureau of Economic Research. NBER has been maintaining this F77 codebase for the last 50 years, and uses it primarily for academic research on tax policy. The Fortran source code itself is over 1MB of text, because it codifies both federal and all 50 states' tax laws for each of the last 62 years. I first learned about NBER TAXSIM [2] a few months ago via an interesting paper they published "Automatic Tax Filing: Simulating a Pre-Populated Form 1040" [3]. The Fortran code itself is not open-source, but is available on request for research purposes. I reached out to NBER and proposed compiling it to WASM, so it could be run directly in a browser. With relatively little effort I was able to create a js/wasm version [4], thanks in huge part to previous open-source work [5]. This WASM build now powers https://taxsim.app, which is my attempt to create an interactive UI to allow for easier exploration of the US tax code. Specific tax scenarios can also be shared easily, by simply copying the browser URL. The code for this webapp is also open-source [6]. This was my first time experimenting with WASM, and I am already a huge fan. Not only was I able to take a 60 year old codebase and get it working on every modern browser and device, this work is also now benefiting the academic community. For example, the js/wasm can be run directly in V8, which means it can also now be run locally within R using libv8 [7]. Previously most researchers were uploading their tax scenarios to NBER's servers via ftp/ssh/http. [1] https://ift.tt/ApEJnLc [2] https://ift.tt/YnhQuky [3] https://ift.tt/gvayZ8z [4] https://ift.tt/hnNAwqc [5] https://ift.tt/WDFruE1 [6] https://ift.tt/2Tg45in [7] https://ift.tt/1BfZoL5 June 30, 2022 at 02:52AM

Show HN: Sudopad – Private link sharing board for friends https://ift.tt/DKCokdQ

Show HN: Sudopad – Private link sharing board for friends https://sudopad.com June 30, 2022 at 02:36AM

Show HN: Heat Pump Cost Comparison https://ift.tt/LfC90Dp

Show HN: Heat Pump Cost Comparison https://ift.tt/lWFioGt June 30, 2022 at 12:07AM

Show HN: Ploomber Cloud (YC W22) – run notebooks at scale without infrastructure https://ift.tt/UXQnSbO

Show HN: Ploomber Cloud (YC W22) – run notebooks at scale without infrastructure Hi, we’re Ido & Eduardo, the founders of Ploomber. We’re launching Ploomber Cloud today, a service that allows data scientists to scale their work from their laptops to the cloud. Our open-source users ( https://ift.tt/QqpTvUm ) usually start their work on their laptops; however, often, their local environment falls short, and they need more resources. Typical use cases run out of memory or optimize models to squeeze out the best performance. Ploomber Cloud eases this transition by allowing users to quickly move their existing projects into the cloud without extra configurations. Furthermore, users can request custom resources for specific tasks (vCPUs, GPUs, RAM). Both of us experienced this challenge firsthand. Analysis usually starts in a local notebook or script, and whenever we wanted to run our code on a larger infrastructure we had to refactor the code (i.e. rewrite our notebooks using Kubeflow’s SDK) and add a bunch of cloud configurations. Ploomber Cloud is a lot simpler, if your notebook or script runs locally, you can run it in the cloud with no code changes and no extra configuration. Furthermore, you can go back and forth between your local/interactive environment and the cloud. We built Ploomber Cloud on top of AWS. Users only need to declare their dependencies via a requirements.txt file, and Ploomber Cloud will take care of making the Docker image and storing it on ECR. Part of this implementation is open-source and available at: https://ift.tt/OEG9Dqy Once the Docker image is ready, we spin up EC2 instances to run the user’s pipeline distributively (for example, to run hundreds of ML experiments in parallel) and store the results in S3. Users can monitor execution through the logs and download artifacts. If source code hasn’t changed for a given pipeline task, we use cached artifacts and skip redundant computations, severely cutting each run's cost, especially for pipelines that require GPUs. Users can sign up to Ploomber Cloud for free and get started quickly. We made a significant effort to simplify the experience ( https://ift.tt/oKxWvPi ). There are three plans ( https://ift.tt/lTrX9nD ): the first is the Community plan, which is free with limited computing. The Teams plan has a flat $50 monthly and usage-based billing, and the Enterprise plan includes SLAs and custom pricing. We’re thrilled to share Ploomber Cloud with you! So if you’re a data scientist who has experienced these endless cycles of getting a machine and going through an ops team, an ML engineer who helps data scientists scale their work, or you have any feedback, please share your thoughts! We love discussing these problems since exchanging ideas sparks exciting discussions and brings our attention to issues we haven’t considered before! You may also reach out to me at ido@ploomber.io. June 29, 2022 at 08:34PM

Show HN: ColorTiles Browser Game https://ift.tt/9LSalV1

Show HN: ColorTiles Browser Game Hello HN! Here is a little game I made, colorful tiles must be placed next to other tiles and match in symbol or color. This game is inspired by Passage 3 and similar games like Qwirkle, Rummy or Dominoes. There exist some browser-based versions here and there, but I wasn't completely satisfied with any of them, so I made my own. This is optimized for a broad range of screen sizes and auto-rotates the playing field for narrow (portrait) viewports. As I've discovered with my own parents, folks who enjoy playing Solitaire, Hearts and similar games might enjoy this as well, so gladly spread the word. Have fun and feedback is appreciated! :) https://colortiles.net/ June 29, 2022 at 08:08PM

Show HN: Create a Step-by-Step Walkthrough of a Pull Request https://ift.tt/KEBmyQt

Show HN: Create a Step-by-Step Walkthrough of a Pull Request https://www.gitline.io/ June 29, 2022 at 07:06PM