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Discussion on: Changelog: Suggested follows on onboarding!

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Enrique Jose Padilla

"We have tried to spread the love so it's not totally top-heavy, so you may get some new followers even if you are not a top contributor."

Is this randomized? Curious how would you implement this.

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Ben Halpern

A bit of randomness, but also just a few adjustments to flatten out the curve to avoid a pure power law distribution. For example, if "scores" are divided like [1500, 800, 300, 20, 15, 13] we divide the love something like [6,5,4,3,2,1], where the person with "13" gets 1/6th the attention as opposed to 1/115th.

The implementation doesn't reflect this exactly but that's the idea.

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mtbsickrider profile image
Enrique Jose Padilla

Is this for new joiners only?

How can i find the top posters for my most interested subject?
Most Interested subject could also be calculated by my user patterns :)

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Ben Halpern

This is currently only for new users, but we'll be making this info more discoverable throughout other parts of the site as well. We're hesitant to put out straight leaderboards unless we did it tastefully. We wouldn't want to make it too much of a competition. So that's why we take our time with these sorts of things.