🎉 Gate Square Growth Points Summer Lucky Draw Round 1️⃣ 2️⃣ Is Live!
🎁 Prize pool over $10,000! Win Huawei Mate Tri-fold Phone, F1 Red Bull Racing Car Model, exclusive Gate merch, popular tokens & more!
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How to earn Growth Points fast?
1️⃣ Go to [Square], tap the icon next to your avatar to enter [Community Center]
2️⃣ Complete daily tasks like posting, commenting, liking, and chatting to earn points
100% chance to win — prizes guaranteed! Come and draw now!
Event ends: August 9, 16:00 UTC
More details: https://www
True fragrance warning, VADER's guardian!
Who can refuse 20,000 $VADER points a day! Since the revision, it has basically been stable at over 10,000 points every day, which is simply a blessing for those who enjoy it. Everyone invests time and effort, and the ultimate goal is still to reap rewards. Compared to a certain project next door, I think at least Virtual hasn't disappointed people as much. It also doesn't play the so-called word games with the numbers. So far, the feedback mechanism and team response can be considered quick.
Currently, the VADER leaderboard resets every day, requiring continuous Yapping every day. This is a positive incentive for the ecosystem itself, and what is most gratifying at present is that the total daily points are starting to gradually become deflationary.
Yesterday, it officially dropped below 300 million, and the allocation for Yapping decreased from 2.36% to 2.18%. Although the total points received have decreased, from an ecological perspective, implementing deflation on the total points when there are no quality projects shows a firm determination. At least the large allocations are on DAB, and many users who are not very sensitive to the overall data will care a lot about their DAB score. Once the score declines, doubts from big investors in the community will follow. I previously saw a post discussing that virtual needs to show a determination to cut off the arm, and currently, their strategy seems to dilute the high proportion of points in a certain weight type through multidimensional point statistics.