Content
@
https://warpcast.com/~/channel/replyguys
0 reply
0 recast
0 reaction
Melissa Burr 🍓
@burrrrrberry
The rewards system mechanic is not known. However, I can provide some stats from my own account's engagement. ~31 hours ago, the leaderboard reset, and right now, I'm #98 What it took to get in the top #100: - 10 casts - 1800+ views - 265 likes The leaderboard requires volume and bangers (especially if you have a lot of followers. If you're striving towards rewards, keep track of your own stats for maximum knowledge 🫡 Me thinks we will keep seeing social scoring similar to this, and it's best to learn it now. As @dwr.eth and @v keep iterating, so should you 🔥
6 replies
3 recasts
13 reactions
Alemac
@alemac
Thanks for sharing; from my experience: Algo is based on inbound engagement to a selection of the best ‘x’ casts of each profile. We don’t know about that ‘x’ number, but dwr said it’s high value. (What is high? I bet around 25-30). That means if you have not reached that number yet this week, each new cast adds points to your score — If you’ve reached that number, to add points to your score, you need that your new cast to get better than your selected ones. It’s more valuable one recast/like/reply from dwr (for example) than 50 rc/like/reply from ‘normal’ accounts.
1 reply
0 recast
1 reaction
Melissa Burr 🍓
@burrrrrberry
Yeah this is all a super small sample size. I wasn't gonna dive into openrank stuff and all. The quality of likes and recasts surely matters
0 reply
0 recast
0 reaction
