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Top comments (48)
speaker.app/ - 48K audio / video streaming. Love this stuff. Making a new view that looks at the audio frequencies of audio and moves speaker cones on a screen (different frequencies will shape the cones a bit different than other frequencies).
Challenges have been in developing several core libraries which handle various aspects, making them work together in harmony, clean up after themselves, some memory leak protections, and a bunch of other nerdy details.
And discovering that the firewall wasn't accepting TURN / STUN connections.... That should be fixed now.
Working on a search engine for comic books — plenty of data sets out there, but have an idea for making it a bit easier to search. Even if I end up being the only user, I'm enjoying the process.
I made something similar to this, it was really fun ! Basically a Marvel Database that list some stats about the character and also some top comics.
bttodd11.github.io/marvelDatabase/
Could definitely use some rework since I just noticed spiderman wasnt even found lol
great, may you please share data source
developer.marvel.com/
please share once you are done.
also may you please share links of datasets sources
Related:
I've got a Raspberry Pi 4 B, what can I do with it?
Thomas Bnt ・ Jun 4 ・ 1 min read
Thanks @ben for mentioned this post 😄☕
Trying to make pixel manipulation on the canvas element easier/more powerful...
Pixel Manipulation in Canvas
Jon Randy ・ Jun 5 ・ 1 min read
Creating a Design system for my personal brand using Figma, React and Storybook.
Try to create GUI Dashboard for NoSQL database based on Flat File using JSON called SleekwareDB on the top of SleekDB.
Help Wanted for Contribution:
SleekwareDB is a NoSQL database storage service. A database storage service that can be used for various platforms and is easy to integrate.
About
What is SleekwareDB? SleekwareDB is a NoSQL database storage service. A database storage service that can be used for various platforms and is easy to integrate.
SleekwareDB is an Open Source project, anyone can contribute to build a better SleekwareDB for the future.
Features
Easy to manage flat file JSON as database
CRUD Stores and Collections with Easy REST API
Integrate with any Platform
Install on your server with easy installation process
I started migrating my business site from Gatsby.js to Next.js this past week, so that is what I am working on right now. I'm glad I encountered issues with GatsbyJS in the end, because I am really loving Next.js. There definitely is a bit of a learning curve coming from Gatsby, but it is fun to learn a new framework that is purer React, and provides me with the opportunity to use functional React and hooks! Way better than class component based React. Am also going to go with Vercel for hosting, and trying to figure out which headless CMS would work best for me, both budget wise and UX wise. Any ideas?
oh, and I use Jira for professional projects. And will start using it for everything again. Highly recommend it.
Day 2 of waiting for the extension to get approved.
Post -> Talk to people who are on the same site 🌎 | Chrome Extension
Follow to get notified, once it goes live.
Too many to list but for software projects I am rewriting my portfolio in vanilla JavaScript, HTML, and CSS. A new resume as a terminal. A component library using Storybook.js and React. But my favorite projects aren't necessarily software, though I need to write some code for these.
Home automation is really my jam lately as I've moved into a whole home now so I'm tinkering with Shelly relay switches, ESP32 dev boards, and all the ways Home Assistant makes me love electronics and tech.
The HA community has several interesting setups and repos on GitHub and I am currently working on documentation of my Home Assistant setup using Python's mkdocs with mkdocs material theme. You can find my docs, which are heavily inspired by MacBury Smart House here: Suburban Smarts
I am currently running Home Assistant on a Raspberry Pi 4+ but have just bought an Intel NUC for more processing power, especially when running object and person detection using an open source library called Frigate.
NVR with realtime local object detection for IP cameras
Frigate - NVR With Realtime Object Detection for IP Cameras
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
Working on a library for populating objects. Did a first "multi-release jar" that supports new language features (records and
sealedclasses) yet is still compatible with Java 8.instancio.org