@dym maybe group them by similarity? and navigate them like a branching graph?
@neauoire yeah, grouping and splitting in lesser parts seems like the only way people are able to consume massive amounts of data :(
so i also thought about making weekly 'zine with a 100 in each
You could sort them, like:
THIS(143) > IS(120) > A(80) > HAPPY(3) > DOG(1).
@neauoire words starting with T and S would have way bigger population. distribution on hashes would be more even, but also logically pointless.
i think tagging entries is best solution, except it requires a lot of manual work and oversight. so, crowdsourcing, or machine learning.
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