Show HN: Python’s __add__ and __mul__ in JavaScript https://ift.tt/3iTMlbO January 27, 2021 at 06:46PM
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(https://ift.tt/3ckkkc3https://whatsmusic.de/frankien-interview-creating-the-singer-songwriter-genre-standing-against-racism-and-a-memorable-open-mic-episode/
Show HN: Python’s __add__ and __mul__ in JavaScript https://ift.tt/3iTMlbO January 27, 2021 at 06:46PM
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(https://ift.tt/3ckkkc3Show HN: Low-power Kindle-based dashboard https://ift.tt/36fYiDC January 27, 2021 at 11:04PM
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(https://ift.tt/3pqhGWcShow HN: Open Covid-19 Vaccine Appointments https://ift.tt/36fADTO January 27, 2021 at 06:17PM
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(https://ift.tt/3chEovHShow HN: Reddit Wallstreetbets Top Leaderboard https://ift.tt/3a5pvdk January 27, 2021 at 04:06PM
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(https://ift.tt/39rndpCShow HN: Open Covid-19 Vaccine Appointments https://ift.tt/36fADTO January 27, 2021 at 06:17PM
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(https://ift.tt/3os2l65Show HN: Reddit Wallstreetbets Top Leaderboard https://ift.tt/3a5pvdk January 27, 2021 at 04:06PM
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(https://ift.tt/36hfYi4Show HN: My bi-weekly newsletter on all things Elixir and Erlang https://ift.tt/2Ynhlr6 January 27, 2021 at 08:55AM
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(https://ift.tt/2YxMuIRLaunch HN: Axle Health (YC W21) – In-Home Healthcare as a Service Hey everyone, We’re Connor and Adam and we’re working on Axle Health ( https://ift.tt/3qXzRTi ). We provide an API for sending health professionals to people’s homes to deliver medical services. For example, a telehealth company can use our service to request an in-home blood draw for their patient. Healthcare has traditionally been delivered in an office or hospital. In recent years, telehealth – providing healthcare remotely, without the need for people to come to a healthcare facility – has taken off as technology has improved, but physical tests are still often needed to make diagnoses, and physical contact is needed to administer treatment. Without physical interaction, telehealth physicians can only handle a subset of common visit reasons. In all other cases they’re required to refer patients to a lab or in-person doctor. As a result of this lack of continuity in the patient’s care journey, most use telehealth platforms for one-off needs like getting a prescription filled. The goal of our platform is to be an extension of the physician in the patient’s home, working on the doctor’s orders to administer physical services that would normally require a visit to a lab or office. I ran across this problem when I moved from New York to Los Angeles. I had received the first dose of a vaccine (not the COVID vaccine, unfortunately) before moving and needed the second on arrival. My only option was to find a new doctor who required me to do a full physical exam before I could receive the second dose. I did it, but needed to take a couple hours off of work. I thought “why can’t I just get this done at home”. It’s not just me, studies show that completion of multi-dose vaccine courses is as low as 33%. Life just gets in the way. After I had my experience, I called up my friend from college, Adam, who worked at UberEats and we started thinking about the economics of bringing care to patients’ homes. The wealthy already have access to in-home healthcare. The question was, could we drive enough operational efficiency and optimization to make this available to everyone while only charging a small per visit fee for companies to use the platform. Solving this problem would have far reaching implications by expanding access to treatment in healthcare deserts, enabling decentralized clinical trials, improving uptake of basic preventive services, and leading to better health outcomes. The operational and technical challenge of sending a health professional to a patient’s home is complex. There are a couple of old line national phlebotomy companies that go in-home, but phlebotomy (drawing blood) is the easy part. When you start moving up the licensure ladder from phlebotomist to medical assistant to licensed practical nurse to registered nurse, their scope of practice expands. Each state has its own laws governing the scope of practice of each of those professionals. For example, our appointment assignment algorithm needs to account for the fact that in Florida a medical assistant can start an IV line, but in California they can’t. We need to ensure each professional has the right mix of supplies for their daily appointments to drive maximum efficiency – a nurse might go from administering an immunotherapy IV at one home to a vaccine at another. Luckily Adam is crazy enough to like these logistical headaches But, Adam won’t need to solve these problems manually. We’ve built a good bit of software around matching patients with in-home professionals. The process is fully programmatic meaning partners can use our API to find available services in a zip code, pull time slot availability and pricing by geography, indicate special instructions from the doctor, book visits, and receive visit updates via webhooks. Health professionals from our network use the Axle app to get shift assignments, indicate to patients that they’re en route, and write up any visit notes. Patients can even see their health professional on a map in real time just like an Uber. We want to make the process of getting in-home care as seamless as possible for patients and health professionals. Our API documentation ( https://ift.tt/36fRiqi ) is publicly available. We’re hoping to enable the next generation of healthcare startups by offering them the ability to physically interact with patients, through us. We wanted to make the API as straightforward as possible, so we welcome any feedback on the documentation or our product at large! Thanks for reading! January 27, 2021 at 08:18AM
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(https://ift.tt/3t1rKXDShow HN: Autolinks – GitHub app for web scrapping https://ift.tt/3ccOBcY January 27, 2021 at 04:20AM
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(https://ift.tt/3a4H9xQShow HN: I made a Live NBA Games scraper for my automation service business https://ift.tt/3cg39sj January 27, 2021 at 02:48AM
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(https://ift.tt/2NKzwFvShow HN: Peer-to-peer messaging app that works with or without internet access https://ift.tt/31gVJPp January 27, 2021 at 02:10AM
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(https://ift.tt/2MvqQlGShow HN: I made a Live NBA Games scraper for my automation service business https://ift.tt/3cg39sj January 27, 2021 at 02:48AM
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(https://ift.tt/3cdrkrdShow HN: Peer-to-peer messaging app that works with or without internet access https://ift.tt/31gVJPp January 27, 2021 at 02:10AM
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(https://ift.tt/3abQcNBShow HN: Hide sensitive info while doing live screen sharing or recording video https://ift.tt/2X4U5h8 January 26, 2021 at 10:53PM
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(https://ift.tt/36i3iaLShow HN: Hide sensitive info while doing live screen sharing or recording video https://ift.tt/2X4U5h8 January 26, 2021 at 10:53PM
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(https://ift.tt/2YizPJrShow HN: Ektora – Real Instagram Followers on Autopilot http://www.ektora.com/ January 26, 2021 at 07:37AM
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(https://ift.tt/3iPaC2IShow HN: Latte Art Simulator https://barist.art/ January 26, 2021 at 06:50AM
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(https://ift.tt/3plBABnShow HN: A worker owned (CO-OP) version of Amazon but for sustainable products https://ift.tt/3cacxxC January 26, 2021 at 07:18AM
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(https://ift.tt/3a7jKM5Show HN: Don’t Let Him Poo – Embedded in Blog Post https://ift.tt/2MrvQaI January 26, 2021 at 05:11AM
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(https://ift.tt/3pl4lOXShow HN: DanColors – Get the color on camera https://ift.tt/2MoLRye January 25, 2021 at 06:19PM
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(https://ift.tt/3ok2NDoShow HN: DanColors – Get the color on camera https://ift.tt/2MoLRye January 25, 2021 at 06:19PM
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(https://ift.tt/3ocV5LiShow HN: SharedOTP – Shared two-factor authentication mechanism https://sharedotp.com/ January 25, 2021 at 03:27PM
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(https://ift.tt/3a261WYShow HN: SharedOTP – Shared two-factor authentication mechanism https://sharedotp.com/ January 25, 2021 at 03:27PM
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(https://ift.tt/3iOwCdWShow HN: Programming.protips.wiki – A Collection of Programming Protips https://ift.tt/3ogkK5R January 24, 2021 at 08:31PM
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(https://ift.tt/3c9JrOYShow HN: Patchcab – Modular Synthesizer Made with Web Audio API and Svelte https://ift.tt/2YaSeIb January 25, 2021 at 01:07AM
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(https://ift.tt/3pgsZjJShow HN: Get started modding Factorio in TypeScript https://ift.tt/3c6I1on January 24, 2021 at 09:29PM
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(https://ift.tt/3pcwibsShow HN: Programming.protips.wiki – A Collection of Programming Protips https://ift.tt/3ogkK5R January 24, 2021 at 08:31PM
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(https://ift.tt/3iLhduVShow HN: Get started modding Factorio in TypeScript https://ift.tt/3c6I1on January 24, 2021 at 09:29PM
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(https://ift.tt/3iHngkrShow HN: Pollen, utility-first CSS for the future https://ift.tt/2YbW7fS January 24, 2021 at 03:52PM
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(https://ift.tt/3pfasUVShow HN: Pollen, utility-first CSS for the future https://ift.tt/2YbW7fS January 24, 2021 at 03:52PM
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(https://ift.tt/3c79BShShow HN: Full text search Project Gutenberg (60m paragraphs) https://ift.tt/2Y8gevw January 23, 2021 at 08:58PM
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(https://ift.tt/39hOKtXShow HN: Filmulator – a streamlined, open-source raw photo editor https://ift.tt/3ocTJzW January 23, 2021 at 12:30PM
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(https://ift.tt/2Y6A2PSShow HN: My Home Kubernetes Cluster Managed by Flux2 and Renovatebot https://ift.tt/2YbbXr4 January 23, 2021 at 04:13PM
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(https://ift.tt/39aAhjiShow HN: Fast, turnkey static web site recipe (Terraform and Jekyll and AWS) https://ift.tt/3qK6N1r January 23, 2021 at 11:45AM
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(https://ift.tt/2MhsbMIShow HN: I bought wutangforever.net a few days ago for $10 https://ift.tt/2Y61Ofd January 23, 2021 at 02:15PM
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(https://ift.tt/3ob7lf5Show HN: Full text search Project Gutenberg (60m paragraphs) https://ift.tt/2Y8gevw January 23, 2021 at 08:58PM
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(https://ift.tt/2LSVtBEShow HN: Filmulator – a streamlined, open-source raw photo editor https://ift.tt/3ocTJzW January 23, 2021 at 12:30PM
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(https://ift.tt/3iKScjBShow HN: My Home Kubernetes Cluster Managed by Flux2 and Renovatebot https://ift.tt/2YbbXr4 January 23, 2021 at 04:13PM
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(https://ift.tt/39aPDUJShow HN: Fast, turnkey static web site recipe (Terraform and Jekyll and AWS) https://ift.tt/3qK6N1r January 23, 2021 at 11:45AM
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(https://ift.tt/39adIuUShow HN: I bought wutangforever.net a few days ago for $10 https://ift.tt/2Y61Ofd January 23, 2021 at 02:15PM
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(https://ift.tt/2KGWFXZShow HN: Pins – A modern Pinboard app for iOS/macOS https://ift.tt/3sRiG7B January 23, 2021 at 03:58AM
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(https://ift.tt/2Y4nWa2Show HN: Supercharge.dev – Accelerated Development in React/Next.js http://supercharge.dev/ January 23, 2021 at 04:18AM
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(https://ift.tt/3iGXMndShow HN: Garnet – Distributed Python on Kubernetes Garnet (https://garnet.ai) is a framework to run distributed and parallel Python on Kubernetes. We make it easy to scale from laptop to cluster, without requiring any devops work. Garnet plugs into any existing Python environment (notebook, IDE, CI/CD pipelines, custom apps) using a lightweight client library, and enables users to scale popular data/ml libraries (including pandas, NumPy, scikit-learn, XGBoost, etc.) and custom code to a remote cluster for execution. Under the hood, we natively wire up Dask with Kubernetes for scheduling, which brings advantages such as dynamic resource allocation, ephemeral clusters and autoscaling, while abstracting the devops complexity for developers and data scientists. Our vision is to build the orchestration layer for distributed computing in Python. We’re starting off with Dask, but have goals of supporting other frameworks such as Ray and Modin in the future. Some of the cool use cases we’ve seen from our users are: Bursting to the cloud from local dev environments for data and memory intensive computations Standing up managed Dask and Kubernetes clusters programmatically in 3-4 lines of Python, without any devops knowledge (Docker, k8s etc.) Parallelize existing codebases in pandas, NumPy, scikit-learn, XGBoost etc. with minimal code changes, without opting for a more complex system such as Spark Currently, users can download our client library and run Dask workloads on our fully managed cluster (see docs). We’re working on adding the capability to run Garnet on your own cloud (Kubernetes) in an upcoming release. We’re excited to hear your feedback, and what you’d like to see. Please drop your email on our website so we can get in touch directly. January 22, 2021 at 04:49PM
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(https://ift.tt/3ocLcNuShow HN: Rysolv – Fix open source issues, get paid https://ift.tt/2WCT0wR January 22, 2021 at 07:14PM
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(https://ift.tt/3c3SDnPShow HN: Garnet – Distributed Python on Kubernetes Garnet (https://garnet.ai) is a framework to run distributed and parallel Python on Kubernetes. We make it easy to scale from laptop to cluster, without requiring any devops work. Garnet plugs into any existing Python environment (notebook, IDE, CI/CD pipelines, custom apps) using a lightweight client library, and enables users to scale popular data/ml libraries (including pandas, NumPy, scikit-learn, XGBoost, etc.) and custom code to a remote cluster for execution. Under the hood, we natively wire up Dask with Kubernetes for scheduling, which brings advantages such as dynamic resource allocation, ephemeral clusters and autoscaling, while abstracting the devops complexity for developers and data scientists. Our vision is to build the orchestration layer for distributed computing in Python. We’re starting off with Dask, but have goals of supporting other frameworks such as Ray and Modin in the future. Some of the cool use cases we’ve seen from our users are: Bursting to the cloud from local dev environments for data and memory intensive computations Standing up managed Dask and Kubernetes clusters programmatically in 3-4 lines of Python, without any devops knowledge (Docker, k8s etc.) Parallelize existing codebases in pandas, NumPy, scikit-learn, XGBoost etc. with minimal code changes, without opting for a more complex system such as Spark Currently, users can download our client library and run Dask workloads on our fully managed cluster (see docs). We’re working on adding the capability to run Garnet on your own cloud (Kubernetes) in an upcoming release. We’re excited to hear your feedback, and what you’d like to see. Please drop your email on our website so we can get in touch directly. January 22, 2021 at 04:49PM
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(https://ift.tt/39ViGuWShow HN: Rysolv – Fix open source issues, get paid https://ift.tt/2WCT0wR January 22, 2021 at 07:14PM
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(https://ift.tt/3bYH2qeShow HN: I built a Twitter client tailored to my workflows https://ift.tt/3aJAzi7 January 22, 2021 at 04:53PM
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(https://ift.tt/3pf0uTwShow HN: I built a Twitter client tailored to my workflows https://ift.tt/3aJAzi7 January 22, 2021 at 04:53PM
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(https://ift.tt/3sOEWiD