It's the results you get that make your algorithm interesting, not how elegant your theory is or how much time you spent developing it
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Many algorithms did not show immediate usefulness by your metric but were well thought and elegant enough to be reused later by others.
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But your definition works well when you are building tools and measuring success by how many starts your Github project/blog post gets.
End of conversation
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