Felix Krause

@KrauseFx
2.5K Followers
192 Following
263 Posts
Currently building https://contextsdk.com - Security Researcher - Creator of https://fastlane.tools (previously google twitter)
Bloghttps://krausefx.com
GitHubhttps://github.com/KrauseFx
ContextSDKhttps://contextsdk.com

I need a browser that has a similar split-screen behaviour like VS Code: 2 independent tab lists.

Anything out there?

"While I leverage AI for my work, my blog posts are handcrafted"

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.

๐Ÿก 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

https://krausefx.com/blog/how-we-used-llms-to-help-us-find-the-perfect-piece-of-land-for-our-future-home

How we used LLMs to help us find the perfect piece of land for our home

Personal website and blog of Felix Krause

Felix Krause
Using Linear has been such a pleasant experience so far, so many little delightful interactions. Something that's hardly felt in most software nowadays.
Thanks to ContextSDK for their continued support of @SwiftPackageIndex

ContextSDK is hiring: Backend & Infrastructure Engineer ๐Ÿš€

Work alongside @KrauseFx and his team on building cutting-edge, privacy-first technology that's transforming mobile app engagement. If you're skilled in Node.js, TypeScript and RabbitMQ and love creating scalable systems, this is the role for you!

๐Ÿ“ Vienna preferred, but remote-friendly
๐ŸŽฏ See more: https://contextsdk.com/company/careers/backend-infrastructure-engineer
ContextSDK | Careers | Backend & Infrastructure Engineer

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.

https://contextsdk.com/solutions/use-cases/push-notification-open-rate?utm_source=Mastodon&utm_medium=Referral&utm_campaign=SPIMastodon

Increase the Push Notification Opt-In-Rate with Context Decision | ContextSDK

Leveraging real-world context to increase push notification opt-in rate.

lol 1password now doesn't even allow entering the date of birth using the keyboard ๐Ÿ˜‚

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.

https://contextsdk.com/blog/how-to-automatically-manage-monitor-rollout-new-machine-learning-models-across-your-ios-app-user-base

ContextSDK | How to automatically manage, monitor & rollout new machine learning models across your iOS app user base

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 weโ€™ve 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 whatโ€™s happening under the hood. This blog post series helps us fully understand the basic concepts of how a model comes to be, how itโ€™s maintained and improved, and how to leverage it in real-life applications.

Crazy to see both CocoaPods and fastlane still growing