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Instagram of browsing experiences, except you can get the same browsing experience as the influencers you follow.
Determine how to find personal Ublock0 filter lists to create a dataset, and find the existing ones in GitHub. Allow users to follow/like/try/find:
1.1 Direct/complete ublock lists.
1.2 Ublock filter exports.
1.3 Ublock backup
As a tip; to find these one could search on the (default) filenames of these types of files.
Make applying Ublock0 filters easy and modular using that dataset.
Automatically cluster the filter list files based on the websites and or themes. Determine how to identify the difference between generic filter comments, and comments specific to a website. Determine how to handle those types of comments. (For example, if someone writes:
# Some comment for stack exchange.
some filter for stackoverflow
some filter for askUbuntu
Then the comments get refactored separately into:
# AskUbuntu.com
some filter for stackoverflow
# Stackoverflow.com
some filter for askUbuntu
Where does the # Some comment for stack exchange.
go? Propose manual merging made easy, give user a prompt with the two
/n
categories and ask: does it go into any, should it be changed or deleted?
3.2 I created some filters for the stackexchange network wich for example drop off the bottom bar of all websites in the stackexchange universe. However, instead of writing:
Askubuntu.com##Drop_bottom_bar
stackoverflow.com##Drop_bottom_bar
...
etc.
I wrote:
##Drop_bottom_bar
So now if some other random website has that bottom bar, and I need it, it still gets filtered out. So determine how to determine for which sites specifically the filters should be, and make it complete and structured within the filtering dataset. (Automatically send pull requests with clarifying information if it cannot be derived from comments and/or user input).
3.2 Allow group/cluster filters, like for stackexchange (instead of 1 for askubuntu.com and another for stackoverflow). In the dataset, include the cluster/group relation, and store the filters as separate per website.
I recal first learning about ghost-script, where some stackoverflow user created a tamper-monkey
script that merged all 20 pages of search results of a stackexchange query into a single page (instead of having to click: "next page" 20 times). That was an eye-opener. So it would be nice if these kinds of settings can also be shared, liked & subscribed.
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