That is a really good UX optimization find. Yes on mobile, since it is just 1 column at a time, I could remove the title label.
The label does help to anchor the column a bit more clearly and gives consistency between mobile-desktop. What do you think about that? Is the extra few pixels height more valuable? Really value your opinion!
I'll try coding it up tomorrow morning and see how it feels!
I only had time before to test it on mobile on my commute. Having seen the desktop version now I understand your concern. Maybe there is a way to just reduce the size of the information a bit but still keeping it structurally as is? I also think that most people can identify the source of the information just based on how it is structured (longer texts for wikipedia, youtube/twitter/reddit with its own branding, etc.) but we would need more opinions on that.
It's already faster than all other algorithms for most data, pattern lengths and alphabets, but it also has a lot of different ways to parameterise it. So I'm exploring the parameter space, so the algorithm can auto tune itself.
Not sure if anyone really cares about this sort of thing anymore. Most people still seem to think Boyer Moore is the best, but that is positively ancient and long superceded by others.
One little thing: In my opinion the labels 'Google', 'Wikipedia', 'Twitter', etc. don't need to be fixed on mobile since you already have to icons above it and it does take up a bit of vertical space.
Other than that a nice concept.
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go! Fleet is a software ecosystem for the digital transformation of SMEs operating in passenger transport. It consists of a cockpit for smart dispatching, a driver app, a booking widget, an API for multimodal mobility and other digital solutions.
We use: Node.js, Microservices, REST-APIs, RESTful-Back-End-Services, Message Broker (RabbitMQ), SQL, Redis, Docker, Git, React, React Native
You can apply here: https://baker-street.join.com/jobs/2289943-backend-entwickle...
go! Fleet is a software ecosystem for the digital transformation of SMEs operating in passenger transport. It consists of a cockpit for smart dispatching, a driver app, a booking widget, an API for multimodal mobility and other digital solutions.
We use: Node.js, Microservices, REST-APIs, RESTful-Back-End-Services, Message Broker (RabbitMQ), SQL, Redis, Docker, Git, React, React Native
You can apply here: https://baker-street.join.com/jobs/2289943-backend-entwickle...