I need a browser that has a similar split-screen behaviour like VS Code: 2 independent tab lists.
Anything out there?
| Blog | https://krausefx.com |
| GitHub | https://github.com/KrauseFx |
| ContextSDK | https://contextsdk.com |
I need a browser that has a similar split-screen behaviour like VS Code: 2 independent tab lists.
Anything out there?
As per @steipete's recommendation, I replaced Google with Kagi (paying $10/m) while already using Perplexity for AI-searches.
Just being able to raise, lower and pin hosts is such a big quality of life upgrade.
๐ก Life Update, and with it a new blog post: How we used LLMs to help us find the perfect piece of land for our future home
We're searching for a skilled backend and infrastructure developer with expertise in Node.js, TypeScript, RabbitMQ, and scalable server architecture. You'll drive the development of our Context Push product, ensuring efficient, privacy-first infrastructure. Join us to build systems that power smarter, real-world context solutions for mobile apps.
Thanks to ContextSDK for their continued support of @SwiftPackageIndex.
Utilizing on-device machine learning in iOS apps, ContextSDK employs real-world context to detect user intent, allowing timely and relevant interactions. With their latest product launch, Context Push, @KrauseFx and his team have focused on refining notification delivery times, ensuring your messages strike the perfect balance between being noticeable and non-intrusive.
lol 1password now doesn't even allow entering the date of birth using the keyboard ๐
Gotta love how they manage to keep making their app worse each passing month
Thanks to ContextSDK for their continued support of @SwiftPackageIndex.
They leverage on-device machine learning to use the real-world context to detect intent - allowing you to show the right message at the right time, having less annoying prompts while increasing sales. Check out the latest blog post by @KrauseFx, where he gives a deep dive into how to get started with CoreML, and distribute & monitor new models remotely.
This is the third post of our machine learning (ML) for iOS apps series. Be sure to read [part 1] and [part 2] first. So far weโve received incredible positive feedback. We always read about the latest advancements in the space of Machine Learning and Artificial Intelligence, but at the same time, we mostly use external APIs that abstract out the ML aspect, without us knowing whatโs happening under the hood. This blog post series helps us fully understand the basic concepts of how a model comes to be, how itโs maintained and improved, and how to leverage it in real-life applications.