Show HN: Chunk – Code sandbox for back-end devs https://ift.tt/S9fPK3I

Show HN: Chunk – Code sandbox for back-end devs Chunk co-founder here. We spent the last 2 weeks building this to scratch our own itch: As developers, we often have problems that could be solved just by running a few lines of code. Sometimes, running this code on your local machine is fine. But other time, the code need to run automatically reacting to external events or to run continuously, which means, it needs to run on a server somewhere. So now, you have to find a cloud provider, to package or build the code and finally to deploy it. All of that for what could be literally be 4 lines of code. We couldn’t find an easier way to do this, so we built it. Chunk is an all in one web editor (think of the codesandbox experience) that allows you to write, deploy and run a piece of code in the cloud from a variety of triggers: HTTP, WebHook, manual or scheduled (cron). No setup, no build, no deploy. Chunk makes you go from idea to code running in the cloud in seconds. Let me know what you guys think! https://chunk.run July 28, 2022 at 11:19PM

Show HN: ColorAround – where you need to find a color around u using the camera https://ift.tt/lBXQGrY

Show HN: ColorAround – where you need to find a color around u using the camera Hi I made a game in an evening, I would like to share and get feedback. You get a random color palette and have to find it for yourself. ColorAround is an easy and fun color game. It is recommended to play on mobile devices https://ift.tt/ORqbnED July 29, 2022 at 11:19PM

Show HN: TapeMeasure – Swift class for creating segmented, labeled lines in UI https://ift.tt/Q0gbhvO

Show HN: TapeMeasure – Swift class for creating segmented, labeled lines in UI TapeMeasure is a utility class, written in Swift, for generating a visual tape measure, or any other graphical elements that need layout in a measured sequence. I created this class to help with a pet project I'm working on, where I needed to generate segmented, labeled lines to use as axes on charts and graphs. It occurred to me that this seems to be a pretty common task, involving a lot of boilerplate code and tedious calculations. Why not decouple the code and move it into a dedicated class? It's self-contained, nice and simple, and easy to unit test. It can also handle a lot of tweaks to the "tape measure", such as boundary clipping and shifting offsets. It's especially good for animation, where you can just change a parameter or two during animation, and call for the re-calculated data to re-render your measured line. That makes it great for animated sliding and scaling effects. Anyway, enjoy! https://ift.tt/uhAsQLw July 29, 2022 at 11:09PM

Show HN: Niche Community – Simply create niche online communities https://ift.tt/hTICN1P

Show HN: Niche Community – Simply create niche online communities https://niche.community July 29, 2022 at 07:46PM

Show HN: Django REST Framework and Open API 3 Tutorial https://ift.tt/XFWUVbK

Show HN: Django REST Framework and Open API 3 Tutorial https://ift.tt/3Fzaqpj July 29, 2022 at 02:29AM

Show HN: TensorDock Core GPU Cloud – GPU servers from $0.29/hr https://ift.tt/cEIYDkq

Show HN: TensorDock Core GPU Cloud – GPU servers from $0.29/hr Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://ift.tt/FAblKIM Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to ourselves, what if we built a platform that combines the functionality of the large clouds but made it priced somewhere between a dedicated server and the large clouds? That’s exactly what we’ve done. Built to make engineers more productive. We have 3 machine learning images so you can start training ML models in 2 minutes, not 2 hours. We provide a REST API, so you can integrate directly your code with ours. And, there’s a community CLI you can use to manage your servers directly via command line We provide a feature set only large clouds supersede. We have storage-only billing when the VM is stopped (for only $0.073/GB/month) so that you aren't paying for compute when you don't need it. We also provide the ability to edit virtual machines after they’re created to downsize costs. If you provision a NVIDIA A6000 and find out you’re only using 50% of it, stop the VM, modify it to a NVIDIA A5000, and you’ll be billed the lower hourly rate without needing to recreate your server and migrate data over! Our infrastructure is built on 3x-replicated NVMe-based network storage, 10 Gbps networking, and 3 locations (New York, Chicago, Las Vegas) with more coming soon! - CPU-only servers from $0.027/hour - NVIDIA Quadro RTX 4000s from $0.29/hour - NVIDIA Tesla V100s from $0.52/hour - and 8 other GPU types that let you truly right-size workloads so that you’re never paying for more than you actually need We're starting off with $1 in free credits! Yes, we sound cheap… but $1 is all you need to get started with us! That’s more than 3 hours of compute time on our cheapest configuration! Use code HACKERNEWS_1 on the billing page to redeem this free credit :) TensorDock: https://ift.tt/6HAWSDs Product page: https://ift.tt/FAblKIM API: https://ift.tt/5fLXUSJ Community CLI: https://ift.tt/zGWUJt1 Deploy a GPU: https://ift.tt/TpvCKLE I'm here to answer your questions, so post them below! Or, email me directly at jonathan@tensordock.com :) https://ift.tt/FAblKIM July 29, 2022 at 01:58AM

Show HN: Distributed SQLite on FoundationDB https://ift.tt/T8adkbi

Show HN: Distributed SQLite on FoundationDB https://ift.tt/E3rh4AD July 29, 2022 at 01:19AM