在ccfound里的知识树。

Good direction. Ccfound. I see it this way, to make navigation in a multi-dimensional space - dependent on many key categories/perspectives. This would allow for more accurate search for answers depending on different people, AI, and thematic categories - it is missing in search engines (Google, others) and they are not even linear. It could look like building memory maps, trees in navigation - with proposed branches according to main features, sources, scientific departments, etc. This would save time analyzing the possibilities of searching for useful answers and overall knowledge. And this would be something new on the market :) And with the possibility of entering VR where the narrative is built for the approaching bull market.

Knowledge tree in ccfound? Hello! I understand that the owner is complaining about our underutilization of the ccfound platform and is angry at us for it. However, how are we supposed to use it when the search only brings us nonsense? See the picture: I would like to propose an interesting solution - something like knowledge categorization. You could create an expandable domain tree, and we would be able to search by browsing through this tree in different domains. Often, we don't know where to start, but by going hierarchically from the general to the specifics, it will be easier to find knowledge from our specific area of interest! Such a structure will be particularly useful because related knowledge will be visible alongside the searched topics. Sometimes, topics may appear in different branches simultaneously. Additionally, if we take care of a neat minimalist design, for example, a white background and responsiveness of this tree, it could be a truly interesting innovation that doesn't exist on the internet yet! Who is in favor?

This functionality should have been here from the beginning and should be developing/improving. Why isn't it like that? Because the correct/flawless coding of such a function exceeds the capabilities of the local programmers and the "Mr. owner" cannot change the staff, he only sticks to the known and proven patterns, of which there are plenty on the internet, and they are more attractively implemented. Categorization and hierarchy of knowledge is a difficult task for any intelligence - artificial and real.

Very useful feature