Show HN: Deploy ML Models on a Budget
2 by htahir111 | 0 comments on Hacker News.
Sunday, 31 January 2021
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Show HN: Send Messages to Discord, Mail, MS-Teams, Slack and Telegram in Go
2 by nikoksr | 0 comments on Hacker News.
2 by nikoksr | 0 comments on Hacker News.
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Show HN: A retrainable subtitle synchronizer you can now build your own
2 by icer2020 | 0 comments on Hacker News.
2 by icer2020 | 0 comments on Hacker News.
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Show HN: I built a dashboard where you can monitor my not scrapers
2 by fstopmick | 1 comments on Hacker News.
2 by fstopmick | 1 comments on Hacker News.
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Show HN: Free tool for A/B testing Hacker News titles with machine learning
7 by ihmissuti | 2 comments on Hacker News.
7 by ihmissuti | 2 comments on Hacker News.
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Show HN: League of Legends Build Orders by Genetic Algorithm
13 by ReflectedImage | 3 comments on Hacker News.
13 by ReflectedImage | 3 comments on Hacker News.
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Show HN: InstantRemix.com – Mashup Any Two Songs Instantly
2 by redmaverick | 1 comments on Hacker News.
2 by redmaverick | 1 comments on Hacker News.
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Show HN: trex_exporter – Prometheus Exporter for T-Rex Nvidia GPU Miner
2 by dstritzke | 0 comments on Hacker News.
2 by dstritzke | 0 comments on Hacker News.
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Launch HN: LayerCI (YC S20) - Staging servers that act like (and replace) CI
24 by colinchartier | 12 comments on Hacker News.
Hi HN, Lyn & Colin here. We’re co-founders of LayerCI (https://layerci.com), which gives you a modern DevOps experience (CI/CD & staging environments) with as little work as writing a Dockerfile. Most teams need CI/CD (run the build and deploy every time a developer pushes) or staging (host a server with my app in it to share), but current approaches always have at least one of these problems: - Simplistic (only run unit tests) - Slow (wait 10 minutes to run the same repetitive setup steps like "npm install") - Complex (cache keys, base images, a slack channel to reserve staging servers, …) We’ve spent over a year iterating with our customers to build a product that solves all of these problems. Our configuration files (Layerfiles) look like Dockerfiles, so regular developers can write and maintain them. Here's one that creates a staging server for create-react-app: FROM vm/ubuntu:18.04 RUN curl -sS https://ift.tt/2mHHfki | sudo apt-key add - && curl -fSsL https://ift.tt/2jJProL | bash && apt-get install nodejs python3 make gcc build-essential COPY . . RUN npm install RUN npm test RUN BACKGROUND npm start EXPOSE WEBSITE http://localhost:3000 We charge a flat $42/mo/developer on our paid plan. Because it's a flat fee and not usage based, we're incentivized to make things as fast as possible: Our current margins come from a custom-built hibernating hypervisor that lets us avoid running "npm install" thousands of times per day. We’ve upgraded the free tier to 5GB of memory for new installations this week. It’s perfect for personal projects or small MVPs where you’d like a powerful demo server that will build on every push and automatically hibernate when it’s not being used. The easiest way to try out LayerCI is to follow our interactive tutorial: https://layerci.com/ or look at the docs: https://ift.tt/3cpAFfF We would love to hear your thoughts about CI/CD, staging, and what we’ve built!
24 by colinchartier | 12 comments on Hacker News.
Hi HN, Lyn & Colin here. We’re co-founders of LayerCI (https://layerci.com), which gives you a modern DevOps experience (CI/CD & staging environments) with as little work as writing a Dockerfile. Most teams need CI/CD (run the build and deploy every time a developer pushes) or staging (host a server with my app in it to share), but current approaches always have at least one of these problems: - Simplistic (only run unit tests) - Slow (wait 10 minutes to run the same repetitive setup steps like "npm install") - Complex (cache keys, base images, a slack channel to reserve staging servers, …) We’ve spent over a year iterating with our customers to build a product that solves all of these problems. Our configuration files (Layerfiles) look like Dockerfiles, so regular developers can write and maintain them. Here's one that creates a staging server for create-react-app: FROM vm/ubuntu:18.04 RUN curl -sS https://ift.tt/2mHHfki | sudo apt-key add - && curl -fSsL https://ift.tt/2jJProL | bash && apt-get install nodejs python3 make gcc build-essential COPY . . RUN npm install RUN npm test RUN BACKGROUND npm start EXPOSE WEBSITE http://localhost:3000 We charge a flat $42/mo/developer on our paid plan. Because it's a flat fee and not usage based, we're incentivized to make things as fast as possible: Our current margins come from a custom-built hibernating hypervisor that lets us avoid running "npm install" thousands of times per day. We’ve upgraded the free tier to 5GB of memory for new installations this week. It’s perfect for personal projects or small MVPs where you’d like a powerful demo server that will build on every push and automatically hibernate when it’s not being used. The easiest way to try out LayerCI is to follow our interactive tutorial: https://layerci.com/ or look at the docs: https://ift.tt/3cpAFfF We would love to hear your thoughts about CI/CD, staging, and what we’ve built!
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Show HN: Keynavish – Control the mouse with the keyboard (Windows)
2 by lesderid | 0 comments on Hacker News.
2 by lesderid | 0 comments on Hacker News.
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Show HN: R pkg for online estimation of Spearmans correlation for streaming data
3 by mike_steph | 0 comments on Hacker News.
3 by mike_steph | 0 comments on Hacker News.
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Show HN: alsa_rnnoise is a HQ noise filter for ALSA, powered by Xiph.Org RNNoise
13 by ArsenArsen | 1 comments on Hacker News.
13 by ArsenArsen | 1 comments on Hacker News.
Saturday, 30 January 2021
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Show HN: Wise sayings and inspirational quotes by GPT-3
2 by crazypython | 0 comments on Hacker News.
2 by crazypython | 0 comments on Hacker News.
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Show HN: Version tracker for graphic designers and artists
2 by sebastian_io | 0 comments on Hacker News.
2 by sebastian_io | 0 comments on Hacker News.
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Show HN: Dug, A global DNS propagation checker on your CLI
2 by monkaiju | 0 comments on Hacker News.
2 by monkaiju | 0 comments on Hacker News.
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Show HN: Quadratic-vote-ranked list of gamestop short-squeeze narratives
2 by mitya777 | 1 comments on Hacker News.
2 by mitya777 | 1 comments on Hacker News.
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Show HN: Watchpoints, an easy to use watchpoints equivalent library for Python
4 by gaogaotiantian | 0 comments on Hacker News.
4 by gaogaotiantian | 0 comments on Hacker News.
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Show HN: RPI Powered 4K TV Auto Rotating Digital Picture Frame
1 by wilsmex | 1 comments on Hacker News.
1 by wilsmex | 1 comments on Hacker News.
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Show HN: UK Vaccine TL;DR, an overview of UK vaccination progress
3 by mishajw | 0 comments on Hacker News.
3 by mishajw | 0 comments on Hacker News.
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Show HN: Etherlearn.io – Blockchain, made fun and visual
5 by thomas-vds | 1 comments on Hacker News.
https://ift.tt/39wvcBZ
5 by thomas-vds | 1 comments on Hacker News.
https://ift.tt/39wvcBZ
Friday, 29 January 2021
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Show HN: TopStonks – The most popular stocks on /r/Wallstreetbets
2 by cdiamand | 1 comments on Hacker News.
2 by cdiamand | 1 comments on Hacker News.
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Show HN: Searchable video and meme generator for The Office
7 by disasterkitsltd | 0 comments on Hacker News.
7 by disasterkitsltd | 0 comments on Hacker News.
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Show HN: Has Elon Changed his Twitter bio? – toy project
2 by lombarovic | 2 comments on Hacker News.
2 by lombarovic | 2 comments on Hacker News.
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Show HN: MicroPython-Ctl – a TypeScript lib for talking to MicroPython devices
2 by metachris | 0 comments on Hacker News.
2 by metachris | 0 comments on Hacker News.
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Show HN: Get matched with developers, projects, and ideas
2 by tr1ll10nb1ll | 1 comments on Hacker News.
2 by tr1ll10nb1ll | 1 comments on Hacker News.
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Launch HN: InpharmD (YC W21) – curated drug information for doctors
12 by aadvani | 7 comments on Hacker News.
Hi HN- My name is Ashish, and I’m the CEO/ co founder of InpharmD ( https://inpharmd.com ). We take questions from doctors and return curated, evidence - based answers. I was a clinical pharmacist offering a remote service from a University for 10 years. Ask us anything, we begged, and our team of pharmacists, residents, and students would look it up, get through the paywalls, and provide the answer. I passed out business cards around local hospitals. They were lost over time. Then I passed out business cards with magnets. They stuck around, but there aren’t that many places in the hospital with the magnetic surfaces. Eventually, people stored our number, but we’d ask so many questions when they called, they couldn’t ask theirs: who are you, where are you calling from, what’s your email, spell it, etc, etc, etc. Often, they’d hang up on us, and I don’t blame them. The average doctor now sees five patients an hour. I realized I wasn’t alone, and hundreds of other academicians, all leading their own teams, had the same problem. So, we formed a network and interviewed hundreds of our customers about how they’d ideally interact with us. What we needed to build was simple: one touch request. My co - founder Tulasee built that and since, we learned that AI can transcribe PDFs faster (but not yet better) than our pharmacists. We started with 5,000 of our own study abstracts, assigned weights for corresponding content in their respective PDFs, and now we continuously reassign the weights until the algorithm can completely make our own abstracts. Our latest test revealed 94% accuracy against a matched human control, but with medical information, this will need to be 100% before we can rely on it. We think Watson was a missed opportunity, so we called our algorithm Sherlock. We’re launching a partnership with the American Society of Health-System Pharmacists® (ASHP- https://ashp.org ), using their database of 1,300 vetted drug monographs, so Sherlock can field questions at the point of care. We’ve been fortunate to find early adopter health systems to pay for our service: WellStar, Ochsner, University of Maryland, Georgia DPH, and St Francis. We’re typically compared to the cost of their healthcare providers manually searching, and we end up cheaper. We love this community and we’d welcome your ideas/ experiences/ feedback on what we’re building!
12 by aadvani | 7 comments on Hacker News.
Hi HN- My name is Ashish, and I’m the CEO/ co founder of InpharmD ( https://inpharmd.com ). We take questions from doctors and return curated, evidence - based answers. I was a clinical pharmacist offering a remote service from a University for 10 years. Ask us anything, we begged, and our team of pharmacists, residents, and students would look it up, get through the paywalls, and provide the answer. I passed out business cards around local hospitals. They were lost over time. Then I passed out business cards with magnets. They stuck around, but there aren’t that many places in the hospital with the magnetic surfaces. Eventually, people stored our number, but we’d ask so many questions when they called, they couldn’t ask theirs: who are you, where are you calling from, what’s your email, spell it, etc, etc, etc. Often, they’d hang up on us, and I don’t blame them. The average doctor now sees five patients an hour. I realized I wasn’t alone, and hundreds of other academicians, all leading their own teams, had the same problem. So, we formed a network and interviewed hundreds of our customers about how they’d ideally interact with us. What we needed to build was simple: one touch request. My co - founder Tulasee built that and since, we learned that AI can transcribe PDFs faster (but not yet better) than our pharmacists. We started with 5,000 of our own study abstracts, assigned weights for corresponding content in their respective PDFs, and now we continuously reassign the weights until the algorithm can completely make our own abstracts. Our latest test revealed 94% accuracy against a matched human control, but with medical information, this will need to be 100% before we can rely on it. We think Watson was a missed opportunity, so we called our algorithm Sherlock. We’re launching a partnership with the American Society of Health-System Pharmacists® (ASHP- https://ashp.org ), using their database of 1,300 vetted drug monographs, so Sherlock can field questions at the point of care. We’ve been fortunate to find early adopter health systems to pay for our service: WellStar, Ochsner, University of Maryland, Georgia DPH, and St Francis. We’re typically compared to the cost of their healthcare providers manually searching, and we end up cheaper. We love this community and we’d welcome your ideas/ experiences/ feedback on what we’re building!
Thursday, 28 January 2021
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Show HN: Simple VSCode extension to autocomplete Python with a transformer model
2 by vpj | 1 comments on Hacker News.
We created a simple VSCode plugin to autocomplete Python with a transformer model trained on code from awesome PyTorch list. Github repo: https://ift.tt/3pNn9pS You will need a GPU for it to be responsive.
2 by vpj | 1 comments on Hacker News.
We created a simple VSCode plugin to autocomplete Python with a transformer model trained on code from awesome PyTorch list. Github repo: https://ift.tt/3pNn9pS You will need a GPU for it to be responsive.
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Show HN: ZuckFeedsBGone A browser extension to spend less time on social media
3 by lawrencehook | 0 comments on Hacker News.
3 by lawrencehook | 0 comments on Hacker News.
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Show HN: The usable eBook (azw3,mobi,ePub,pdf) reader inside a browser
21 by javapnews | 5 comments on Hacker News.
21 by javapnews | 5 comments on Hacker News.
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Show HN: Programming with your own words (in English)
3 by fersarr | 1 comments on Hacker News.
Hi HN! Fernando here. I am really looking forward to getting some feedback about Hupreter (https://hupreter.com) from you all. I started working on Hupreter a year ago, mostly exploring what was possible. But some time before that, I started playing with NLP (natural language processing) and discovering what was currently possible. At first, I was using it on news articles but then I thought that it might be possible to use this to program in natural languages (like English), instead of programming languages. How cool would it be if you could just tell your computer what to do! Your computer, your phone, or any machine. Most of the work has gone into creating a semantic engine that aims to 'understand' the meaning behind a piece of text. Once that worked, I focused on the second stage which is converting that understanding into instructions in a programming language. I am really happy to put this out there and get some feedback. Hopefully some interest too. This is just the beginning, it will keep growing to handle more and more tasks. https://hupreter.com Thank you! Let me know what you think.
3 by fersarr | 1 comments on Hacker News.
Hi HN! Fernando here. I am really looking forward to getting some feedback about Hupreter (https://hupreter.com) from you all. I started working on Hupreter a year ago, mostly exploring what was possible. But some time before that, I started playing with NLP (natural language processing) and discovering what was currently possible. At first, I was using it on news articles but then I thought that it might be possible to use this to program in natural languages (like English), instead of programming languages. How cool would it be if you could just tell your computer what to do! Your computer, your phone, or any machine. Most of the work has gone into creating a semantic engine that aims to 'understand' the meaning behind a piece of text. Once that worked, I focused on the second stage which is converting that understanding into instructions in a programming language. I am really happy to put this out there and get some feedback. Hopefully some interest too. This is just the beginning, it will keep growing to handle more and more tasks. https://hupreter.com Thank you! Let me know what you think.
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Show HN: Crew for Stack Overflow, first full native iOS client
4 by danieljamess | 1 comments on Hacker News.
4 by danieljamess | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: krunvm – Create and run lightweight VMs from OCI images
3 by slpnix | 0 comments on Hacker News.
3 by slpnix | 0 comments on Hacker News.
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Launch HN: Arpio (YC W21) – Protect your business from AWS outages & ransomware
10 by doug_neumann | 3 comments on Hacker News.
Hello HN! We’re Shaw [sterwill] and Doug [doug_neumann] and today we’re very excited to share Arpio with you ( https://arpio.io ). Arpio is a SaaS that protects AWS environments from downtime by making it easy to recover from outages, ransomware, cyber-attacks, and human error. What that means is that when critical AWS services go down (like the Kinesis outage in November [0]), Arpio can launch identical workloads in a healthy region. Or if a bad actor does bad things in an AWS environment (like Codespaces [1] or Webex Teams [2]), Arpio can quickly restore everything to an alternate AWS account. Our story goes back to the big S3 outage of 2017. In February that year an AWS employee made a typo at the command line, and inadvertently took down much of AWS’s Northern Virginia region. That outage lasted 5 hours, and we were among the thousands of companies impacted. All outages suck, but the timing on this one was particularly bad for our business. And worse, we had no control -- all we could do was wait for Amazon to get us back online. As you can imagine, the execs weren’t exactly happy about that... With Arpio, we’re building the solution we wish we’d had back then. Arpio maintains an exact replica of your production AWS environment in a different region (that you choose) and optionally in a locked-down AWS account (that you own). This recovery environment includes your data and your infrastructure, and it’s updated frequently as your environment evolves. It’s also checkpointed, so you can roll back to a prior state to recover from data corruption or ransomware. And when you aren’t using it, it’s dormant, so you don’t have to pay AWS for resources you don’t need. But when you need it (or want to test it), Arpio can have it up and running in a few minutes. Disaster recovery is usually custom-engineered for a given workload. With Arpio, we’re building a general-purpose solution that works for most AWS workloads. We handle the complexity ensuring every route table is rewired, every security group rule is correct, every private IP address is preserved, and every database hostname is aliased. And handling that complexity makes Arpio simple to implement. We can often get new customers onboarded in under an hour. Arpio works today with EC2, EBS, RDS, ECS, ECR, ELB, VPC, IAM, ACM, Autoscaling, Cognito, ElastiCache, and CloudWatch. We’re delivering Beanstalk and EFS support in the coming weeks. If we don’t yet support your environment, drop a comment below - we’d love to get your feedback on what we should build next. We encourage you to take it for a spin. Or if you’re up for a chat, send me a note (doug[at]arpio.io) - I’d love to walk you through it in person. So, HN, what do you think? We’re excited to get your feedback! Thanks, Shaw & Doug [0] https://ift.tt/3lg5J2v [1] https://ift.tt/1nfCgQS [2] https://ift.tt/2YOsjXk
10 by doug_neumann | 3 comments on Hacker News.
Hello HN! We’re Shaw [sterwill] and Doug [doug_neumann] and today we’re very excited to share Arpio with you ( https://arpio.io ). Arpio is a SaaS that protects AWS environments from downtime by making it easy to recover from outages, ransomware, cyber-attacks, and human error. What that means is that when critical AWS services go down (like the Kinesis outage in November [0]), Arpio can launch identical workloads in a healthy region. Or if a bad actor does bad things in an AWS environment (like Codespaces [1] or Webex Teams [2]), Arpio can quickly restore everything to an alternate AWS account. Our story goes back to the big S3 outage of 2017. In February that year an AWS employee made a typo at the command line, and inadvertently took down much of AWS’s Northern Virginia region. That outage lasted 5 hours, and we were among the thousands of companies impacted. All outages suck, but the timing on this one was particularly bad for our business. And worse, we had no control -- all we could do was wait for Amazon to get us back online. As you can imagine, the execs weren’t exactly happy about that... With Arpio, we’re building the solution we wish we’d had back then. Arpio maintains an exact replica of your production AWS environment in a different region (that you choose) and optionally in a locked-down AWS account (that you own). This recovery environment includes your data and your infrastructure, and it’s updated frequently as your environment evolves. It’s also checkpointed, so you can roll back to a prior state to recover from data corruption or ransomware. And when you aren’t using it, it’s dormant, so you don’t have to pay AWS for resources you don’t need. But when you need it (or want to test it), Arpio can have it up and running in a few minutes. Disaster recovery is usually custom-engineered for a given workload. With Arpio, we’re building a general-purpose solution that works for most AWS workloads. We handle the complexity ensuring every route table is rewired, every security group rule is correct, every private IP address is preserved, and every database hostname is aliased. And handling that complexity makes Arpio simple to implement. We can often get new customers onboarded in under an hour. Arpio works today with EC2, EBS, RDS, ECS, ECR, ELB, VPC, IAM, ACM, Autoscaling, Cognito, ElastiCache, and CloudWatch. We’re delivering Beanstalk and EFS support in the coming weeks. If we don’t yet support your environment, drop a comment below - we’d love to get your feedback on what we should build next. We encourage you to take it for a spin. Or if you’re up for a chat, send me a note (doug[at]arpio.io) - I’d love to walk you through it in person. So, HN, what do you think? We’re excited to get your feedback! Thanks, Shaw & Doug [0] https://ift.tt/3lg5J2v [1] https://ift.tt/1nfCgQS [2] https://ift.tt/2YOsjXk
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Show HN: Budibase – build modern web apps on your own infrastructure in minutes
3 by prakhargurunani | 0 comments on Hacker News.
3 by prakhargurunani | 0 comments on Hacker News.
Wednesday, 27 January 2021
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Show HN: My multiplayer custom-engine game that loads in less than a second
37 by crazypython | 7 comments on Hacker News.
37 by crazypython | 7 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Origin – Validate your business idea with an interactive prototype
5 by lukamlakar | 1 comments on Hacker News.
5 by lukamlakar | 1 comments on Hacker News.
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Show HN: Automatically lower the volume of ads to protect ears
4 by jainkuniya | 2 comments on Hacker News.
4 by jainkuniya | 2 comments on Hacker News.
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Show HN: Stratum – An open source silicon-independent switch operating system
3 by lawrenceyan | 0 comments on Hacker News.
3 by lawrenceyan | 0 comments on Hacker News.
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Show HN: Bunklist – Collect and discover useful websites through lists
3 by supernano9 | 1 comments on Hacker News.
3 by supernano9 | 1 comments on Hacker News.
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Launch HN: Axle Health (YC W21) – In-Home Healthcare as a Service
7 by chailey11 | 0 comments on Hacker News.
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 :P 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!
7 by chailey11 | 0 comments on Hacker News.
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 :P 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!
New Show Hacker News story: latest news
Show HN: I made a Live NBA Games scraper for my automation service business
2 by axelges | 0 comments on Hacker News.
2 by axelges | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Peer-to-peer messaging app that works with or without internet access
3 by sirffuzzylogik | 1 comments on Hacker News.
3 by sirffuzzylogik | 1 comments on Hacker News.
Tuesday, 26 January 2021
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Show HN: Hide sensitive info while doing live screen sharing or recording video
2 by theindianappguy | 0 comments on Hacker News.
2 by theindianappguy | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Startup recurring liquidity compensation calculator
2 by smalter | 1 comments on Hacker News.
2 by smalter | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: K8s clusters as infinite-scale local dev environments
5 by LukeShu | 1 comments on Hacker News.
5 by LukeShu | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Are you playing your violin (viola, guitar, etc.) in tune?
2 by ctrager | 1 comments on Hacker News.
2 by ctrager | 1 comments on Hacker News.
New Show Hacker News story: latest news
Launch HN: Airbyte (YC W20) – Open-Source ELT (Fivetran/Stitch Alternative)
15 by mtricot | 1 comments on Hacker News.
Hi HN! Michel here with John, Shrif, Jared, Charles, and Chris. We are building an open-source ELT platform that replicates data from any applications, APIs, databases, etc. into your data warehouses, data lakes or databases: https://airbyte.io . I’ve been in data engineering for 11 years. Before Airbyte, I was the head of integrations at Liveramp, where we built and scaled over 1,000 data ingestion connectors to replicate 100TB worth of data every day. John, on the other end, has already built 3 startups with 2 exits. His latest one didn’t work out, though. He spent almost a year building ETL pipelines for an engineering management platform, but he eventually ran out of money before reaching product-market fit. By late 2019, we had known each other for 7 years, and always wanted to work together. When John’s third startup shut down, it was finally the right timing for both of us. And we knew which problem we wanted to address: data integration, and ELT more specifically. We started interviewing Fivetran, Stitchdata, and Matillion’s customers, in order to see if the existing solutions were solving their problems. We learned they all fell short, and always with the same patterns. Some limitations we identified are due to the fact that they are closed source. This prevents them from addressing the long tail of integrations because they will always have a ROI consideration when building and maintaining new connectors. A good example is Fivetran which, after 8 years, offers around 150 connectors. This is not a lot when you look at the number of existing tools out there (more than 10,000). In fact, all their customers that we talked to are building and maintaining their own connectors (along with orchestration, scheduling, monitoring, etc.) in-house, as the connectors they needed were either not supported in the way they needed or not supported at all. Some of those customers also tried to leverage existing open-source solutions, but the quality of the existing connectors is inconsistent, as many haven't been updated in years. Plus, they are not usable out of the box. That’s when we knew we wanted Airbyte to be open-source (MIT license), usable out of the box, and cover the long tail of integrations. By making it trivial to build new connectors on Airbyte in any language (they run as Docker containers), we hope the community will help us build and maintain the long tail of connectors. While open-source also enables us to address all use cases (including internal DBs and APIs), it also allows us to solve the problem inherent to cloud-based solutions: the security and privacy of your data. Companies don’t need to trust yet another 3rd-party vendor. Because it is self-hosted, it will disrupt the pricing of existing solutions. Here’s a 2-minute demo video if you want to check out how it looks: https://www.youtube.com/watch?v=sKDviQrOAbU Airbyte can run on a single node without any external infrastructure. We also integrate with Kubernetes (alpha), and will soon integrate with Airflow so you can run replication tasks across your cluster. Today, our early version supports about 41 sources and 6 destinations ( https://ift.tt/3iV7rqj ). We’re releasing new connectors ( https://ift.tt/3ordKTS ) every week (6 of them have already been contributed by the community). We bootstrapped some connectors using the highest-quality ones from Singer. Our connectors will always remain open-source. Our goal is to solve data integration for as many companies as possible, and the success of Airbyte is predicated on the open-source project becoming loved and ubiquitous. For this reason, we will focus the entirety of 2021 strengthening the open-source edition; we are dedicated to making it amazing for all users. We will eventually create a paid edition (open core model) with enterprise-level features (support, SLA, hosting and management, privacy compliance, role and access management, SSO, etc.) to address the needs of our most demanding users. Give it a spin: https://ift.tt/2M5B6Bc & https://demo.airbyte.io . Let us know what you think. This is our first time building an open-source technology, so we know we have a lot to learn!
15 by mtricot | 1 comments on Hacker News.
Hi HN! Michel here with John, Shrif, Jared, Charles, and Chris. We are building an open-source ELT platform that replicates data from any applications, APIs, databases, etc. into your data warehouses, data lakes or databases: https://airbyte.io . I’ve been in data engineering for 11 years. Before Airbyte, I was the head of integrations at Liveramp, where we built and scaled over 1,000 data ingestion connectors to replicate 100TB worth of data every day. John, on the other end, has already built 3 startups with 2 exits. His latest one didn’t work out, though. He spent almost a year building ETL pipelines for an engineering management platform, but he eventually ran out of money before reaching product-market fit. By late 2019, we had known each other for 7 years, and always wanted to work together. When John’s third startup shut down, it was finally the right timing for both of us. And we knew which problem we wanted to address: data integration, and ELT more specifically. We started interviewing Fivetran, Stitchdata, and Matillion’s customers, in order to see if the existing solutions were solving their problems. We learned they all fell short, and always with the same patterns. Some limitations we identified are due to the fact that they are closed source. This prevents them from addressing the long tail of integrations because they will always have a ROI consideration when building and maintaining new connectors. A good example is Fivetran which, after 8 years, offers around 150 connectors. This is not a lot when you look at the number of existing tools out there (more than 10,000). In fact, all their customers that we talked to are building and maintaining their own connectors (along with orchestration, scheduling, monitoring, etc.) in-house, as the connectors they needed were either not supported in the way they needed or not supported at all. Some of those customers also tried to leverage existing open-source solutions, but the quality of the existing connectors is inconsistent, as many haven't been updated in years. Plus, they are not usable out of the box. That’s when we knew we wanted Airbyte to be open-source (MIT license), usable out of the box, and cover the long tail of integrations. By making it trivial to build new connectors on Airbyte in any language (they run as Docker containers), we hope the community will help us build and maintain the long tail of connectors. While open-source also enables us to address all use cases (including internal DBs and APIs), it also allows us to solve the problem inherent to cloud-based solutions: the security and privacy of your data. Companies don’t need to trust yet another 3rd-party vendor. Because it is self-hosted, it will disrupt the pricing of existing solutions. Here’s a 2-minute demo video if you want to check out how it looks: https://www.youtube.com/watch?v=sKDviQrOAbU Airbyte can run on a single node without any external infrastructure. We also integrate with Kubernetes (alpha), and will soon integrate with Airflow so you can run replication tasks across your cluster. Today, our early version supports about 41 sources and 6 destinations ( https://ift.tt/3iV7rqj ). We’re releasing new connectors ( https://ift.tt/3ordKTS ) every week (6 of them have already been contributed by the community). We bootstrapped some connectors using the highest-quality ones from Singer. Our connectors will always remain open-source. Our goal is to solve data integration for as many companies as possible, and the success of Airbyte is predicated on the open-source project becoming loved and ubiquitous. For this reason, we will focus the entirety of 2021 strengthening the open-source edition; we are dedicated to making it amazing for all users. We will eventually create a paid edition (open core model) with enterprise-level features (support, SLA, hosting and management, privacy compliance, role and access management, SSO, etc.) to address the needs of our most demanding users. Give it a spin: https://ift.tt/2M5B6Bc & https://demo.airbyte.io . Let us know what you think. This is our first time building an open-source technology, so we know we have a lot to learn!
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Show HN: Ektora – Real Instagram Followers on Autopilot
2 by matgillard | 0 comments on Hacker News.
2 by matgillard | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: A worker owned (CO-OP) version of Amazon but for sustainable products
3 by vivekmgeorge | 2 comments on Hacker News.
3 by vivekmgeorge | 2 comments on Hacker News.
Monday, 25 January 2021
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Show HN: SharedOTP – Shared two-factor authentication mechanism
5 by ankitdce | 3 comments on Hacker News.
5 by ankitdce | 3 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Smug – A fast, dependency-free session manager for tmux
7 by iillexial | 3 comments on Hacker News.
7 by iillexial | 3 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: D-Tale, Open-Source Visualizer for Pandas Dataframes
6 by ari1102 | 0 comments on Hacker News.
6 by ari1102 | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Colorpedia – command-line tool for looking up colors
4 by joohwan | 1 comments on Hacker News.
4 by joohwan | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Page Speed and User Experience (UX): How to Impress Your Visitors
2 by maydemir | 0 comments on Hacker News.
2 by maydemir | 0 comments on Hacker News.
New Show Hacker News story: latest news
Launch HN: Aviron (YC W21) – High-Intensity Peloton for Rowing
29 by FullNameAndy | 29 comments on Hacker News.
Hey HN! I’m Andy, founder of Aviron ( https://ift.tt/3cbfrC3 ). We make a high-intensity version of Peloton for rowing, with competitive games, live races and strength programs. Our content puts a focus on HIIT (high intensity interval training) due to its physical and cognitive benefits. I feel like sometimes this pisses the hardcore rowers off but I’m not a rower, I’m a tech guy. I also think fitness is important and have been working out all of my adult life. Before Aviron, I worked full time and long hours so I did a lot of my thinking during late night gym sessions. Like many people I avoided the rower because not only did I not enjoy cardio but damn that machine was hard and boring. There was a moment at some point in 2016 when I realized I could do something with this. The connected fitness market in the US at that time was small but growing rapidly. Aviron is a rowing machine because it’s the most efficient and effective workout you can have in a short amount of time on one machine. The rowing motion is low impact, engages 85% of muscles, is very difficult and as a result can also be boring. This makes the rowing machine an ideal ‘candidate’ to pair with the gaming-inspired, competitive content I began to envision in 2016. The research was telling me there was a definite potential market niche I could fill but what I didn't know was that no manufacturer would speak to me. I probably called and emailed 50 manufacturers. I eventually kickstarted a few conversations and finally a relationship, by flying to Taiwan, connecting with a local who could translate, and knocking on doors in person. It sounds reasonable in hindsight but the process to finalizing a production contract start to finish took me a full year. A year of trying to understand the manufacturing landscape, developing relationships and convincing potential suppliers that I would eventually be worth their time. Ultimately my key takeaway is that Taiwanese manufacturing relationships are just that - relationships. Manufacturers are looking for long-term trusting partnerships and they are much less motivated by money than my initial assumption. I’m reminded of this constantly - this month alone I have received emails re: product delays twice - and I stupidly tried to throw money at the problem, in the process offending the Taiwan team by implying they would work harder if money was on the table. Finding and building a solid relationship with a production partner was challenging but I would give it a 7/10 relative to the hurdles that came later. The manufacturer had no experience or interest in getting the machine to work along with our custom android touchscreen. As much as I see myself as a “tech guy”, I don’t have an engineering degree. My dad does and so does my brother but I went the business degree route. Long story short, figuring out the details of making these two pieces work together was a nightmare. Again, in hindsight, it’s kind of cool - I understand my machine inside and out; I’m confident I could take it apart down to the screws and put it back together. I can also work comfortably with an oscilloscope and understand how most of the components work on a typical fitness equipment circuit board - there was a lot of circuit board soldering trial and error at one point. I knew that I was taking on a lot with a software and hardware venture but what nobody tells you is how many miles you’re going to drive and fly when you’re taking on hardware. During our slow tip-toe pivot from B2B to B2C sales, we discovered home customers would find 10x the problems a gym would. There was a week in 2019 I drove to a customer’s home 6 hours away multiple times a week for nearly a month. Each trip I thought we had found the solution; the ride back was crushing. This was one of many problems we faced. I’m happy to be able to say the bugs are mostly worked out! Our customers navigate a 22” touchscreen to browse 250ish content options - like my favorite and the first game we ever developed - Last Hope, an end-of-the-world inspired game where you’re being chased by zombies. As your row to escape the Ai will benchmark your fitness output and adjust the zombies’ speed to maintain a challenging pace for your fitness level. The content for Aviron was developed with strength training and High Intensity Interval Training (HIIT) in mind. For example, one of our 6 workouts categories is “Pros vs. Joes”, a program that allows you to compete against pre-recorded Olympians and professional athletes in a race. Our customers are fitness enthusiasts who don’t enjoy long cardio workouts and crave the competitive and challenging pace of activities like CrossFit and F45, at home - especially throughout Covid. HIIT workouts tend to be shorter, have been proven to improve cognitive ability and help slow the aging process via preservation of DNA. To me, the dual cognitive and physical benefits were really key. I began to work out in my teens, physically I felt better and my self esteem improved. Cognitively, I went from dealing with undiagnosed ADHD and struggling my way through school to slowly noticing an improvement. People told me I was “growing out of” ADHD - which is probably partially true - but something clicked when I was researching fitness programming for Aviron. Learning about HIIT and it’s (data proven) benefits, I started to realize that my commitment to consistent and challenging physical fitness had likely paid a large part in my “growing out it” as well. Currently, we have bootstrapped Aviron to a good place; we’ve sold nearly a thousand rowers to gyms, hotels, schools and even Nike headquarters as well as homes. Or churn rate is <1% and our customers are telling us they’re happy. And they’re paying their membership every month so we believe them. :) We are continually working on Aviron to improve the software, content and customer experience so if you have a chance please check us out and let me know what you think. I’m excited to hear from the community. I’ll be hanging out in the comments all day.
29 by FullNameAndy | 29 comments on Hacker News.
Hey HN! I’m Andy, founder of Aviron ( https://ift.tt/3cbfrC3 ). We make a high-intensity version of Peloton for rowing, with competitive games, live races and strength programs. Our content puts a focus on HIIT (high intensity interval training) due to its physical and cognitive benefits. I feel like sometimes this pisses the hardcore rowers off but I’m not a rower, I’m a tech guy. I also think fitness is important and have been working out all of my adult life. Before Aviron, I worked full time and long hours so I did a lot of my thinking during late night gym sessions. Like many people I avoided the rower because not only did I not enjoy cardio but damn that machine was hard and boring. There was a moment at some point in 2016 when I realized I could do something with this. The connected fitness market in the US at that time was small but growing rapidly. Aviron is a rowing machine because it’s the most efficient and effective workout you can have in a short amount of time on one machine. The rowing motion is low impact, engages 85% of muscles, is very difficult and as a result can also be boring. This makes the rowing machine an ideal ‘candidate’ to pair with the gaming-inspired, competitive content I began to envision in 2016. The research was telling me there was a definite potential market niche I could fill but what I didn't know was that no manufacturer would speak to me. I probably called and emailed 50 manufacturers. I eventually kickstarted a few conversations and finally a relationship, by flying to Taiwan, connecting with a local who could translate, and knocking on doors in person. It sounds reasonable in hindsight but the process to finalizing a production contract start to finish took me a full year. A year of trying to understand the manufacturing landscape, developing relationships and convincing potential suppliers that I would eventually be worth their time. Ultimately my key takeaway is that Taiwanese manufacturing relationships are just that - relationships. Manufacturers are looking for long-term trusting partnerships and they are much less motivated by money than my initial assumption. I’m reminded of this constantly - this month alone I have received emails re: product delays twice - and I stupidly tried to throw money at the problem, in the process offending the Taiwan team by implying they would work harder if money was on the table. Finding and building a solid relationship with a production partner was challenging but I would give it a 7/10 relative to the hurdles that came later. The manufacturer had no experience or interest in getting the machine to work along with our custom android touchscreen. As much as I see myself as a “tech guy”, I don’t have an engineering degree. My dad does and so does my brother but I went the business degree route. Long story short, figuring out the details of making these two pieces work together was a nightmare. Again, in hindsight, it’s kind of cool - I understand my machine inside and out; I’m confident I could take it apart down to the screws and put it back together. I can also work comfortably with an oscilloscope and understand how most of the components work on a typical fitness equipment circuit board - there was a lot of circuit board soldering trial and error at one point. I knew that I was taking on a lot with a software and hardware venture but what nobody tells you is how many miles you’re going to drive and fly when you’re taking on hardware. During our slow tip-toe pivot from B2B to B2C sales, we discovered home customers would find 10x the problems a gym would. There was a week in 2019 I drove to a customer’s home 6 hours away multiple times a week for nearly a month. Each trip I thought we had found the solution; the ride back was crushing. This was one of many problems we faced. I’m happy to be able to say the bugs are mostly worked out! Our customers navigate a 22” touchscreen to browse 250ish content options - like my favorite and the first game we ever developed - Last Hope, an end-of-the-world inspired game where you’re being chased by zombies. As your row to escape the Ai will benchmark your fitness output and adjust the zombies’ speed to maintain a challenging pace for your fitness level. The content for Aviron was developed with strength training and High Intensity Interval Training (HIIT) in mind. For example, one of our 6 workouts categories is “Pros vs. Joes”, a program that allows you to compete against pre-recorded Olympians and professional athletes in a race. Our customers are fitness enthusiasts who don’t enjoy long cardio workouts and crave the competitive and challenging pace of activities like CrossFit and F45, at home - especially throughout Covid. HIIT workouts tend to be shorter, have been proven to improve cognitive ability and help slow the aging process via preservation of DNA. To me, the dual cognitive and physical benefits were really key. I began to work out in my teens, physically I felt better and my self esteem improved. Cognitively, I went from dealing with undiagnosed ADHD and struggling my way through school to slowly noticing an improvement. People told me I was “growing out of” ADHD - which is probably partially true - but something clicked when I was researching fitness programming for Aviron. Learning about HIIT and it’s (data proven) benefits, I started to realize that my commitment to consistent and challenging physical fitness had likely paid a large part in my “growing out it” as well. Currently, we have bootstrapped Aviron to a good place; we’ve sold nearly a thousand rowers to gyms, hotels, schools and even Nike headquarters as well as homes. Or churn rate is <1% and our customers are telling us they’re happy. And they’re paying their membership every month so we believe them. :) We are continually working on Aviron to improve the software, content and customer experience so if you have a chance please check us out and let me know what you think. I’m excited to hear from the community. I’ll be hanging out in the comments all day.
New Show Hacker News story: latest news
Show HN: I coded a web augmented reality engine with tensorflowJS
3 by hiukim | 1 comments on Hacker News.
3 by hiukim | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Retrospective on having my “Show HN” on the front-page
6 by onassar | 1 comments on Hacker News.
I was lucky enough to have my site trending on Friday (link here: news.ycombinator.com/item?id=25872922). It’s an icon site that lists open source icons. I wanted to share some stats on the results after 3 days. Worth noting was that I submitted it on a Friday morning (at which point I went for a walk and a coffee; eek). - 24,997 page views. I (embarrassingly) didn’t have GA set up when I first submitted it, so this is probably missing a few hundred page views - 21 “feedback” emails (half of which were spam). I assume such a high percentage of these were spam because my Feedback form didn’t require email addresses. - 5 note-worthy emails from people which may result in some sort of collaboration - 10 mailing list subscriber sign ups. Running through MailChimp, and it’s not emphasized at all (eg. just a link in the footer). Purposefully not email-gating people to download, since I want this to be a very developer-centric site, and it feels a bit unsettling to email-gate other people’s digital content. - 2,670 icon downloads - 74 comments. A big caveat to this one: I replied to almost every comment. The thinking is that if someone took the time to comment (even just a “thanks”), I wanted to take the time to reply to them as well. Also, I purposefully didn’t reply to people who were commenting on their own alternative services. Perhaps a tad uncouth, but I didn’t want to shine a light on a comment that was designed to detract from my submission. I would have made an exception if there was substance to those comments beyond the detraction. - One founder from a related (and leading) service (Flaticon) jumping into the comments. I really appreciated this. Similar to how Patrick Collison (of Stripe) is often seen replying to comments on Stripe-related posts. This founder submitted thoughtful replies to people’s criticisms, which I thought was quite considerate.
6 by onassar | 1 comments on Hacker News.
I was lucky enough to have my site trending on Friday (link here: news.ycombinator.com/item?id=25872922). It’s an icon site that lists open source icons. I wanted to share some stats on the results after 3 days. Worth noting was that I submitted it on a Friday morning (at which point I went for a walk and a coffee; eek). - 24,997 page views. I (embarrassingly) didn’t have GA set up when I first submitted it, so this is probably missing a few hundred page views - 21 “feedback” emails (half of which were spam). I assume such a high percentage of these were spam because my Feedback form didn’t require email addresses. - 5 note-worthy emails from people which may result in some sort of collaboration - 10 mailing list subscriber sign ups. Running through MailChimp, and it’s not emphasized at all (eg. just a link in the footer). Purposefully not email-gating people to download, since I want this to be a very developer-centric site, and it feels a bit unsettling to email-gate other people’s digital content. - 2,670 icon downloads - 74 comments. A big caveat to this one: I replied to almost every comment. The thinking is that if someone took the time to comment (even just a “thanks”), I wanted to take the time to reply to them as well. Also, I purposefully didn’t reply to people who were commenting on their own alternative services. Perhaps a tad uncouth, but I didn’t want to shine a light on a comment that was designed to detract from my submission. I would have made an exception if there was substance to those comments beyond the detraction. - One founder from a related (and leading) service (Flaticon) jumping into the comments. I really appreciated this. Similar to how Patrick Collison (of Stripe) is often seen replying to comments on Stripe-related posts. This founder submitted thoughtful replies to people’s criticisms, which I thought was quite considerate.
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Show HN: Pdoc, a lightweight Python API documentation generator
12 by mhils | 1 comments on Hacker News.
12 by mhils | 1 comments on Hacker News.
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Show HN: Rust-starter, a boilerplate to build Rust CLI applications
16 by csomar | 4 comments on Hacker News.
16 by csomar | 4 comments on Hacker News.
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Show HN: Micro – A platform for cloud native development in Go
2 by asim | 0 comments on Hacker News.
2 by asim | 0 comments on Hacker News.
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Show HN: Trophi.com – A forum the represents both sides of an argument
8 by panchoviz | 7 comments on Hacker News.
8 by panchoviz | 7 comments on Hacker News.
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Show HN: Programming.protips.wiki – A Collection of Programming Protips
2 by markl42 | 0 comments on Hacker News.
2 by markl42 | 0 comments on Hacker News.
Sunday, 24 January 2021
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Show HN: Powerful Spreadsheet Data Table for all frameworks
3 by kumakint | 0 comments on Hacker News.
3 by kumakint | 0 comments on Hacker News.
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Show HN: Plant-based flavor enhancer – hack your tastebuds to eat healthy
26 by Dgetman | 19 comments on Hacker News.
26 by Dgetman | 19 comments on Hacker News.
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Show HN: All 104 amendments to the Constitution of India as Git commits
24 by mishraprince | 3 comments on Hacker News.
24 by mishraprince | 3 comments on Hacker News.
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Show HN: Sokyokuban, a puzzle game in a non-Euclidian world
12 by jaspervdj | 4 comments on Hacker News.
12 by jaspervdj | 4 comments on Hacker News.
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Show HN: A weekly newsletter where I interview an open-source developer
2 by okokok___ | 0 comments on Hacker News.
2 by okokok___ | 0 comments on Hacker News.
Saturday, 23 January 2021
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Show HN: Full text search Project Gutenberg (60m paragraphs)
6 by gutensearch | 0 comments on Hacker News.
6 by gutensearch | 0 comments on Hacker News.
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Show HN: Filmulator – a streamlined, open-source raw photo editor
174 by CarVac | 26 comments on Hacker News.
174 by CarVac | 26 comments on Hacker News.
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Show HN: My Home Kubernetes Cluster Managed by Flux2 and Renovatebot
5 by onedr0p | 0 comments on Hacker News.
5 by onedr0p | 0 comments on Hacker News.
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Show HN: Fast, turnkey static web site recipe (Terraform and Jekyll and AWS)
3 by happythenewsad | 2 comments on Hacker News.
3 by happythenewsad | 2 comments on Hacker News.
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Show HN: Fuselink – Combine multiple links into a single URL
4 by spendyt | 0 comments on Hacker News.
4 by spendyt | 0 comments on Hacker News.
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Show HN: DrugSheet – Keep up with the clinical trials on Covid-19
2 by beancount | 0 comments on Hacker News.
2 by beancount | 0 comments on Hacker News.
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Show HN: Clubhouse Glow – A free tool to create radiating avatars
2 by mittermayr | 1 comments on Hacker News.
2 by mittermayr | 1 comments on Hacker News.
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Show HN: Traindown – A language to help athletes express their training
2 by tylerscott | 1 comments on Hacker News.
2 by tylerscott | 1 comments on Hacker News.
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Show HN: Repository.surf – see metrics for all repositories in a GitHub org
10 by kiwicopple | 1 comments on Hacker News.
10 by kiwicopple | 1 comments on Hacker News.
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Show HN: Supercharge.dev – Accelerated Development in React/Next.js
2 by harishv7 | 0 comments on Hacker News.
2 by harishv7 | 0 comments on Hacker News.
Friday, 22 January 2021
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Show HN: Garnet – Distributed Python on Kubernetes
2 by garnet | 0 comments on Hacker News.
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.
2 by garnet | 0 comments on Hacker News.
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.
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Show HN: I built a Twitter client tailored to my workflows
2 by thesephist | 0 comments on Hacker News.
2 by thesephist | 0 comments on Hacker News.
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Show HN: A platform for written dialogue between world leaders
2 by jonathanrstern | 0 comments on Hacker News.
2 by jonathanrstern | 0 comments on Hacker News.
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Show HN: I built Multy – Generate a short URL to share a list of websites
12 by Etheon | 2 comments on Hacker News.
12 by Etheon | 2 comments on Hacker News.
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Show HN: HacKit, a native macOS Cocoa app for reading Hacker News
2 by anosidium | 8 comments on Hacker News.
2 by anosidium | 8 comments on Hacker News.
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Show HN: Iconduck – 100k open source icons, downloadable and searchable
2 by onassar | 1 comments on Hacker News.
2 by onassar | 1 comments on Hacker News.
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Show HN: Giglad – Turn your PC to a MIDI arranger keyboard
2 by melenaos | 0 comments on Hacker News.
2 by melenaos | 0 comments on Hacker News.
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Show HN: Welder – Record high-quality remote interviews
3 by JohanCutych | 1 comments on Hacker News.
3 by JohanCutych | 1 comments on Hacker News.
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Show HN: Userbase – Auth and E2E encrypted storage in a few lines of code
2 by j-berman | 1 comments on Hacker News.
2 by j-berman | 1 comments on Hacker News.
Thursday, 21 January 2021
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Show HN: Git News – Social News website for developers and GitHub fans
6 by nimit95 | 0 comments on Hacker News.
6 by nimit95 | 0 comments on Hacker News.
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Show HN:WickedBlocks: I made 120 Tailwind Blocks ready to copy-paste.FREE & OS
3 by Mike_Andreuzza | 1 comments on Hacker News.
3 by Mike_Andreuzza | 1 comments on Hacker News.
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Show HN: Shopify app for uploading images in bulk from Google Drive
5 by faridmovsumov | 0 comments on Hacker News.
5 by faridmovsumov | 0 comments on Hacker News.
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Launch HN: Finmark (YC S20) – Financial planning software for startups
26 by ramie | 16 comments on Hacker News.
Hi HN! I’m Rami, cofounder of Finmark. We make it simple for companies to manage their runway, hiring, and cash. Three years ago a bad financial model almost killed my last company. A miscalculation in our behemoth of a financial model led us to overestimate the amount of cash we had coming in, and in turn, to overspend. When we finally discovered the error after 5 months, we were forced to shift from aggressive hiring to aggressive cost cutting and had to lay off employees. We were able to course-correct and sold the company successfully in 2019, but I kept coming back to how difficult and time-consuming financial modeling is for founders. So after taking some time off to recharge post acquisition, I pulled my old team together to start Finmark. We built Finmark so all founders, not just finance pros, can easily create, update, and share custom financial models without having to spend weeks laboring over complex spreadsheets. While the flexibility spreadsheets afford is great, they are also susceptible to human error, challenging for collaboration and version control, and time-consuming to create and maintain. Finmark takes complex financial concepts and calculations, distills them down into a simple dashboard, and makes it easy for startups to create and share their financial plans, manage burn rate and cash, forecast revenue and expenses, and plan for fundraising Finmark is modular, so rather than using a template that might not be a great fit for your startup, you’re building a completely custom model based on your individual business needs. Finmark integrates with your entire stack to reconcile your actuals without manual data entry. It is also very easy to create, compare, and share as many different scenarios as you’d like, e.g. a base plan, upside plan, and downside plan. Since launching in Fall 2020 we’ve had over 1,000 companies sign up for our waitlist, and have onboarded over 400 companies so far. Subscriptions start at $25/month and increase based on a company’s monthly revenue. You can check out our pricing calculator here: https://ift.tt/2CP2Oxx We are skipping the waitlist for anyone signing up from HN ( https://ift.tt/3iKngjL ). We're looking forward to your comments and are eager to hear your feedback on Finmark and your experiences with financial modeling in general!
26 by ramie | 16 comments on Hacker News.
Hi HN! I’m Rami, cofounder of Finmark. We make it simple for companies to manage their runway, hiring, and cash. Three years ago a bad financial model almost killed my last company. A miscalculation in our behemoth of a financial model led us to overestimate the amount of cash we had coming in, and in turn, to overspend. When we finally discovered the error after 5 months, we were forced to shift from aggressive hiring to aggressive cost cutting and had to lay off employees. We were able to course-correct and sold the company successfully in 2019, but I kept coming back to how difficult and time-consuming financial modeling is for founders. So after taking some time off to recharge post acquisition, I pulled my old team together to start Finmark. We built Finmark so all founders, not just finance pros, can easily create, update, and share custom financial models without having to spend weeks laboring over complex spreadsheets. While the flexibility spreadsheets afford is great, they are also susceptible to human error, challenging for collaboration and version control, and time-consuming to create and maintain. Finmark takes complex financial concepts and calculations, distills them down into a simple dashboard, and makes it easy for startups to create and share their financial plans, manage burn rate and cash, forecast revenue and expenses, and plan for fundraising Finmark is modular, so rather than using a template that might not be a great fit for your startup, you’re building a completely custom model based on your individual business needs. Finmark integrates with your entire stack to reconcile your actuals without manual data entry. It is also very easy to create, compare, and share as many different scenarios as you’d like, e.g. a base plan, upside plan, and downside plan. Since launching in Fall 2020 we’ve had over 1,000 companies sign up for our waitlist, and have onboarded over 400 companies so far. Subscriptions start at $25/month and increase based on a company’s monthly revenue. You can check out our pricing calculator here: https://ift.tt/2CP2Oxx We are skipping the waitlist for anyone signing up from HN ( https://ift.tt/3iKngjL ). We're looking forward to your comments and are eager to hear your feedback on Finmark and your experiences with financial modeling in general!
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Show HN: Duffel (S18) – The best API to sell flights online
22 by stevedomin | 1 comments on Hacker News.
Hey HN, We're Steve and Tom (YC S18), the co-founders of Duffel (https://duffel.com/), an API-based travel platform. Think of Stripe, but for searching and booking flights. We built Duffel after running head first into the problem of accessing airline inventory for a side-project that we had. All the providers out there (ever heard of a GDS? Amadeus? Sabre?) felt antiquated, expensive and quite frankly didn't even want to work with us. To top it up, once we started digging the only things we could hear were "PNR", "IATA", "ARC", "RBD" and other wonderful acronyms. It’s difficult to innovate in travel today. The process is intimidating, time-consuming, and often cost-prohibitive for new startups. The antiquated tech stacks and expensive accreditation processes are enough to keep great travel sellers locked out of the industry. We built Duffel to remove all the barriers to innovation in travel. With our new self-serve platform, we're making it possible for anyone to sign-up, activate their account, and start selling flights in just minutes – without having to interact with anyone on our team. You also won't need to worry about applying for an IATA - or ARC - accreditation, building relationships with airlines or deciphering the documentation of an EDIFACT (1) service The Duffel platform is built for the modern developer, offering simple, composable APIs, comprehensive documentation, and a robust testing environment. Check this video to see it in action: => https://www.youtube.com/watch?v=vMPFL7x0uko Since our founding, we have grown to an international team of 40+ spread across the UK and US. We're on a mission to make travel effortless by rebuilding the software backbone of the travel industry layer by layer. We would love any feedback you have on the product and are always keen to discuss with people with deep knowledge of the industry. Looking forward to reading you in the thread below! Thank you for reading!
22 by stevedomin | 1 comments on Hacker News.
Hey HN, We're Steve and Tom (YC S18), the co-founders of Duffel (https://duffel.com/), an API-based travel platform. Think of Stripe, but for searching and booking flights. We built Duffel after running head first into the problem of accessing airline inventory for a side-project that we had. All the providers out there (ever heard of a GDS? Amadeus? Sabre?) felt antiquated, expensive and quite frankly didn't even want to work with us. To top it up, once we started digging the only things we could hear were "PNR", "IATA", "ARC", "RBD" and other wonderful acronyms. It’s difficult to innovate in travel today. The process is intimidating, time-consuming, and often cost-prohibitive for new startups. The antiquated tech stacks and expensive accreditation processes are enough to keep great travel sellers locked out of the industry. We built Duffel to remove all the barriers to innovation in travel. With our new self-serve platform, we're making it possible for anyone to sign-up, activate their account, and start selling flights in just minutes – without having to interact with anyone on our team. You also won't need to worry about applying for an IATA - or ARC - accreditation, building relationships with airlines or deciphering the documentation of an EDIFACT (1) service The Duffel platform is built for the modern developer, offering simple, composable APIs, comprehensive documentation, and a robust testing environment. Check this video to see it in action: => https://www.youtube.com/watch?v=vMPFL7x0uko Since our founding, we have grown to an international team of 40+ spread across the UK and US. We're on a mission to make travel effortless by rebuilding the software backbone of the travel industry layer by layer. We would love any feedback you have on the product and are always keen to discuss with people with deep knowledge of the industry. Looking forward to reading you in the thread below! Thank you for reading!
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Show HN: 71 Lines – Build Chrome Extensions with No-Code Tools
5 by matteomosca | 1 comments on Hacker News.
5 by matteomosca | 1 comments on Hacker News.
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Show HN: Open-source tool for catching spelling mistakes on websites
4 by petems | 3 comments on Hacker News.
4 by petems | 3 comments on Hacker News.
Wednesday, 20 January 2021
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Show HN: An automated security/performance checker for Laravel apps
2 by m1guelpf | 0 comments on Hacker News.
2 by m1guelpf | 0 comments on Hacker News.
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Show HN: A simple rust library to extract code blocks from Markdown files
2 by alexwillner | 1 comments on Hacker News.
2 by alexwillner | 1 comments on Hacker News.
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Show HN: New data portal for Medicare/Medicaid I designed
2 by austinbeer | 1 comments on Hacker News.
2 by austinbeer | 1 comments on Hacker News.
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Show HN: A mindfulness based social network designed to be checked once a week
5 by jillianschuller | 1 comments on Hacker News.
5 by jillianschuller | 1 comments on Hacker News.
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Show HN: AnimationCPU
2 by ellis0n | 0 comments on Hacker News.
Features - Basis for OS, NoCode and UIs, apps and games - Ultra fast and light for low power devices, compiler, jit, vm, and everything is procedural - Reactive and live coding - ACPUL pure minimalistic programming language - Mobile IDE with realtime reverse debugger - Develop on desktop and mobiles, tablets and phones - Visual first - Code and No-code - Minimalistic core - A new alternative to Flash Screenshots: [1]: https://ift.tt/2LNU3rX [2]: https://ift.tt/3nZAI43 [3]: https://ift.tt/39Qd2u0 More videos https://www.youtube.com/channel/UCYvin_F73BoNJ_VibPvtSjg Bootloader code sample https://ift.tt/3nWKPqd More updates on Twitter https://twitter.com/acpustudio Read more https://ift.tt/2RvKVIe Please fill out the form to connect to Animation CPU TestFlight! https://ift.tt/3bWBRHm
2 by ellis0n | 0 comments on Hacker News.
Features - Basis for OS, NoCode and UIs, apps and games - Ultra fast and light for low power devices, compiler, jit, vm, and everything is procedural - Reactive and live coding - ACPUL pure minimalistic programming language - Mobile IDE with realtime reverse debugger - Develop on desktop and mobiles, tablets and phones - Visual first - Code and No-code - Minimalistic core - A new alternative to Flash Screenshots: [1]: https://ift.tt/2LNU3rX [2]: https://ift.tt/3nZAI43 [3]: https://ift.tt/39Qd2u0 More videos https://www.youtube.com/channel/UCYvin_F73BoNJ_VibPvtSjg Bootloader code sample https://ift.tt/3nWKPqd More updates on Twitter https://twitter.com/acpustudio Read more https://ift.tt/2RvKVIe Please fill out the form to connect to Animation CPU TestFlight! https://ift.tt/3bWBRHm
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Show HN: I built an online interactive course that helps you learn vim faster
48 by CoffeePython | 20 comments on Hacker News.
48 by CoffeePython | 20 comments on Hacker News.
Tuesday, 19 January 2021
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Show HN: A simple browser based video editor (desktop only)
2 by bwasti | 1 comments on Hacker News.
2 by bwasti | 1 comments on Hacker News.
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Show HN: Il2cpp-modder – Generate DLL injection projects for hacking Unity games
2 by juanmjacobs | 0 comments on Hacker News.
2 by juanmjacobs | 0 comments on Hacker News.
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Show HN: FounderZ – helps founders manage the investor courting process
2 by mvbsridhar | 1 comments on Hacker News.
2 by mvbsridhar | 1 comments on Hacker News.
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Show HN: Intro to Python and Programming for non-CS majors (revisited)
2 by webartifex | 0 comments on Hacker News.
Hi there, I am the author of this Show HN post: https://ift.tt/33GWdOt Back then, I released the materials for my Intro to Python course "to the world". GitHub repo: https://ift.tt/39b2eEs I incorporated many of the constructive criticism and am currently recording a video lecture series on YouTube: https://www.youtube.com/playlist?list=PL-2JV1G3J10kRUPgP7EwLhyeN5lOZW2kH I guess that a lot of people without a CS background would find these resources valuable and am open for further feedback. If you have any "non-tech" friends who want to learn to code, please feel free to direct them to my course. Stay healthy everybody!
2 by webartifex | 0 comments on Hacker News.
Hi there, I am the author of this Show HN post: https://ift.tt/33GWdOt Back then, I released the materials for my Intro to Python course "to the world". GitHub repo: https://ift.tt/39b2eEs I incorporated many of the constructive criticism and am currently recording a video lecture series on YouTube: https://www.youtube.com/playlist?list=PL-2JV1G3J10kRUPgP7EwLhyeN5lOZW2kH I guess that a lot of people without a CS background would find these resources valuable and am open for further feedback. If you have any "non-tech" friends who want to learn to code, please feel free to direct them to my course. Stay healthy everybody!
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Show HN: Gamejoy – hosted Zoom games for remote teams
17 by phprecovery | 11 comments on Hacker News.
17 by phprecovery | 11 comments on Hacker News.
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Show HN: Virtual breadboard in the browser, inspired by Ben Eater's 6502
3 by Tejotron | 0 comments on Hacker News.
3 by Tejotron | 0 comments on Hacker News.
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Launch HN: Seed (YC W21) – A Fully-Managed CI/CD Pipeline for Serverless
37 by jayair | 9 comments on Hacker News.
Hi HN, we are Jay and Frank from Seed ( https://seed.run ). We've built a service that makes it easy to manage a CI/CD pipeline for serverless apps on AWS. There are no build scripts and our custom deployment infrastructure can speed up your deployments almost 100x by incrementally deploying your services and Lambda functions. For some background, Serverless is an execution model where you send a cloud provider (AWS in this case), a piece of code (called an AWS Lambda function). The cloud provider is responsible for executing it and scaling it to respond to the traffic needs. And you are billed for the exact number of milliseconds of execution. Back in 2016 we were really excited to discover serverless and the idea that you could just focus on your code. So we wrote a guide to show folks how to build full-stack serverless applications — https://ift.tt/2iQiT8Y . But once we started using serverless internally, we started hitting all the operational issues that come with it. Serverless Framework apps are typically made up of multiple services (20-40). Where each service might have 10-20 Lambda functions. To deploy a service, you'll need to package each Lambda function (generate a zip of the source). This can take 3-5 mins. So the entire app might take over 45 mins to deploy. To fix this, folks will have a script that deploys them concurrently. But some services might need to be deployed after another, or in a specific order. And if a large number of services are deployed concurrently, you tend to run into rate-limit errors (at least in the AWS case). Meaning, your deployment scripts need to handle retries. These services might also be deployed to multiple environments in different AWS accounts, or regions. Managing a CI/CD pipeline for these apps can be difficult, the build scripts can be quite large and hard to maintain. We spoke to a few folks in the community that were using serverless in production and found that this was a common issue. So we decided to fix it. We built a fully-managed CI/CD pipeline specifically for Serverless Framework and CDK apps on AWS. We support deploying to multiple environments, regions, using most common git workflows. There's no need for a build script. You connect your git repo, point to the services, add your environments, and specify the order in which you want your services to be deployed. And Seed does the rest. It'll concurrently and reliably (handle any retries) deploy all your services. It'll also remove the services reliably when a branch is removed or a PR is closed. Recently we launched incremental deploys, which can really speed up deployments. We do this by checking which services have been updated, and which of the Lambda functions in those services need to be deployed. We internally store the checksums for the Lambda function packages and concurrently do these checks. We then deploy only those Lambda functions that've been updated. We've also optimized the way the dependencies (node_modules) in your apps are cached and installed. We download and restore them asynchronously, so they are not blocking the build steps. Since its launch in 2017, hundreds of teams rely on Seed everyday to deploy their serverless apps. Our pricing plans are based on the number of build minutes you use and we do not charge extra for the number of concurrent builds. We also have a great free tier — https://ift.tt/39L1A2z Thank you for reading about us. We would love to hear what you think and how we can improve Seed, or serverless in general.
37 by jayair | 9 comments on Hacker News.
Hi HN, we are Jay and Frank from Seed ( https://seed.run ). We've built a service that makes it easy to manage a CI/CD pipeline for serverless apps on AWS. There are no build scripts and our custom deployment infrastructure can speed up your deployments almost 100x by incrementally deploying your services and Lambda functions. For some background, Serverless is an execution model where you send a cloud provider (AWS in this case), a piece of code (called an AWS Lambda function). The cloud provider is responsible for executing it and scaling it to respond to the traffic needs. And you are billed for the exact number of milliseconds of execution. Back in 2016 we were really excited to discover serverless and the idea that you could just focus on your code. So we wrote a guide to show folks how to build full-stack serverless applications — https://ift.tt/2iQiT8Y . But once we started using serverless internally, we started hitting all the operational issues that come with it. Serverless Framework apps are typically made up of multiple services (20-40). Where each service might have 10-20 Lambda functions. To deploy a service, you'll need to package each Lambda function (generate a zip of the source). This can take 3-5 mins. So the entire app might take over 45 mins to deploy. To fix this, folks will have a script that deploys them concurrently. But some services might need to be deployed after another, or in a specific order. And if a large number of services are deployed concurrently, you tend to run into rate-limit errors (at least in the AWS case). Meaning, your deployment scripts need to handle retries. These services might also be deployed to multiple environments in different AWS accounts, or regions. Managing a CI/CD pipeline for these apps can be difficult, the build scripts can be quite large and hard to maintain. We spoke to a few folks in the community that were using serverless in production and found that this was a common issue. So we decided to fix it. We built a fully-managed CI/CD pipeline specifically for Serverless Framework and CDK apps on AWS. We support deploying to multiple environments, regions, using most common git workflows. There's no need for a build script. You connect your git repo, point to the services, add your environments, and specify the order in which you want your services to be deployed. And Seed does the rest. It'll concurrently and reliably (handle any retries) deploy all your services. It'll also remove the services reliably when a branch is removed or a PR is closed. Recently we launched incremental deploys, which can really speed up deployments. We do this by checking which services have been updated, and which of the Lambda functions in those services need to be deployed. We internally store the checksums for the Lambda function packages and concurrently do these checks. We then deploy only those Lambda functions that've been updated. We've also optimized the way the dependencies (node_modules) in your apps are cached and installed. We download and restore them asynchronously, so they are not blocking the build steps. Since its launch in 2017, hundreds of teams rely on Seed everyday to deploy their serverless apps. Our pricing plans are based on the number of build minutes you use and we do not charge extra for the number of concurrent builds. We also have a great free tier — https://ift.tt/39L1A2z Thank you for reading about us. We would love to hear what you think and how we can improve Seed, or serverless in general.
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