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The common theme is that if you're doing good work, metrics follow. It's the work that matters, not the numbers. There might be survivorship bias in my analysis. What about ML researchers who do interesting work and never get noticed? But people tend to recognize good work.
This was exactly my thinking when doing DeOldify. I figured rather than focusing on gimmics, just do something I like and that would catch on. This was quite a deliberate decision. Easier said than done of course- the work is an absolute pain in the ass in practice lol
