MeetingBar is a macOS menu bar app for your meetings
Works with 20+ meeting services, including all the usual suspects.
Works with 20+ meeting services, including all the usual suspects.
Deskreen is an
electron.js
based application that usesWebRTC
to make a live stream of your desktop to a web browser on any device. It is built on top of Electron React Boilerplate For better security mechanism, end-to-end encryption is implemented, which is inspired bydarkwire.io , the difference is, that it is rewritten inTypescript
and transformed to usenode-forge
instead ofwindow.crypto.subtle
.
Shekhar Gulati does a quick retro after his first year as CTO. Their lessons include:
And a few more.
Earlier this year Retool ran a survey of developers and builders on internal tools to learn how people build and maintain their internal tooling. The survey had 310 respondents, mostly in SaaS, Finance, and Retail, and mostly from mid sized (2-500 employees) companies. This report outlines the results and insights they learned.
The tldr is internal tooling is really important, but rarely gets the time and focus they need.
I’m not gonna lie, it does sound like a fantastic startup idea. But there are so many things that can go wrong when trying to start something new and Tom Cleveland does a super job of telling that story in this brutally honest post:
Things are going great. My friends and family all tell me they love the site. Even some strangers on the internet love it. “I know right,” I tell them. “So how much would you pay for this?”
“Hahahahahahah,” they say in unison. “Good one!”
Stick around to the end for lessons learned. Where did he go wrong?
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
This has been around long enough to be picked up by the Apache Foundation, but somehow it’s avoided my radar until today. The visualizations you can achieve with it are impressive, to say the least.
Ever since AWS took Elasticsearch and decided to sell a managed version of it there has been controversy around AWS and Elasticsearch. Now that the software created by Elastic is being switched to the Server-Side Public License
(SSPL), which is not a very permissive license, AWS is going ahead and forking the projects.
The debate rages around this. Few people feel sympathy with the behemoth that is AWS, but they don’t seem to be in violation of any licenses. Elastic have definitely worked hard on Elasticsearch and arguably deserves an opportunity to profit from their work. This new license raises significant concern though.
I don’t think we’ll see this settle anytime soon, just like the issue of open source sustainability is neither easy nor straightforward.
One of the main problems a database storage engine has to solve is how to deal with data in disk that is bigger than the available memory. A way databases solve this issue is through memory-mapped files and a system call called mmap. Discover what mmap is and how you can make use of it in Go.
This is Josh Comeau’s personal suite of “best practices.”
If you work with styled-components, or a similar tool like Emotion, my hope is that this article will help you get the most out of it. I’ve distilled years of experimentation and practice into a few practical tips and techniques. If you apply these ideas, I genuinely believe you’ll be a happier CSS developer ✨
An SSH jump server is a regular Linux server, accessible from the Internet, which is used as a gateway to access other Linux machines on a private network using the SSH protocol. The purpose of an SSH jump server is to be the only gateway for access to your infrastructure reducing the size of any potential attack surface.
In this blog post we’ll cover how to set up an SSH jump server. We’ll cover two open source projects.
Both of these servers are easy to install and configure, are free and open source, and are single-binary Linux daemons.
Whoa.
We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models. Scaling a single Kubernetes cluster to this size is rarely done and requires some special care, but the upside is a simple infrastructure that allows our machine learning research teams to move faster and scale up without changing their code.
Joe Sweeney built Podrain to scratch his own podcast-listening itch. Here’s what he had to say about it in our community chat:
Hi there! Huge fan of Changelog. I actually built a podcast client for the web as a Vue PWA, as a proof-of-concept towards building a web-first future away from app stores. Works fully offline with downloaded audio, as in, works in Airplane mode (but on Android only). Interface is rough but it’s pretty stable and improving over time!
Try Podrain yourself by pointing your favorite web browser right here.
This piece by Mark Saroufim on the state of ML starts pretty salty:
Graduate Student Descent is one of the most reliable ways of getting state of the art performance in Machine Learning today and it’s also a fully parallelizable over as many graduate students or employees your lab has. Armed with Graduate Student Descent you are more likely to get published or promoted than if you took on uncertain projects.
and:
BERT engineer is now a full time job. Qualifications include:
- Some bash scripting
- Deep knowledge of pip (starting a new environment is the suckier version of practicing scales)
- Waiting for new HuggingFace models to be released
- Watching Yannic Kilcher’s new Transformer paper the day it comes out
- Repeating what Yannic said at your team reading group
It’s kind of like Dev-ops but you get paid more.
But if you survive through (or maybe even enjoy) the lamentations and ranting, you’ll find some hope and optimism around specific projects that the author believes are pushing the industry through its Great Stagnation.
I learned a few things. Maybe you will too.
I dig this effort to decouple web documentation from a “single vendor or organization.” 👏
Open Web Docs was created to ensure the long-term health of web platform documentation on de facto standard resources like MDN Web Docs, independently of any single vendor or organization. Through full-time staff, community management, and our network of partner organizations, we enable these resources to better maintain and sustain documentation of core web platform technologies. Rather than create new documentation sites, Open Web Docs is committed to improving existing platforms through our contributions.
Wanna get involved? Check out the high-level goals they have laid out.
Remember Patrick DeVivo’s super cool AskGit project where you can query your git repo’s history with SQL? Well, now you can kick the tires without installing a thing by using AskGit’s new web interface!
Here’s an example query where we learn that I do most of my coding (or committing, at least) on Mondays and Tuesdays while Adam and Gerhard lean towards Friday.
supercookies can be used in place of ordinary cookies to store user identifiers, but they are much more difficult to delete and block. This makes it nearly impossible for users to protect their privacy as they browse the web. Over the years, trackers have been found storing user identifiers as supercookies in increasingly obscure parts of the browser, including in Flash storage, ETags, and HSTS flags.
To hell with these trackers and the tech they rode in on.
In Firefox 85, we’re introducing a fundamental change in the browser’s network architecture to make all of our users safer: we now partition network connections and caches by the website being visited. Trackers can abuse caches to create supercookies and can use connection identifiers to track users. But by isolating caches and network connections to the website they were created on, we make them useless for cross-site tracking.
You gotta love it 🍻