Participate in the Trias Avatar Design Contest to win Triathon NFT parts

Dear Triasurers,

To continue the trend of creating various great Trias avatars, we are launching the Trias Avatar Design Contest!

Contest Info

Submission Deadline: December 1st, 10:00 am UTC

Rewards: Triathon NFT parts

Grading Time: 1st November, 10 am UTC — 3rd December, 10 am UTC

Note: An NFT part is a kind of NFT that is necessary to upgrade your Triathon spaceships to Triathon NFT weapons.

What is the reward?

  • Each qualified entry will receive a wing/fin as reward. If one user submits more than 5 pieces of work, the number of wing/fin he receives will be [5+√(n-5)].
  • All works will be graded and the bonus will be allocated according to the rank.

How to participate?

Step 1) Design a Trias avatar (Below is the example). You could sketch it out on paper, illustrate it using 2D drawing software, or even model it in 3D.

Examples of disqualified and qualified avatars

“Avatar” refers to the images you put on Telegram profile, the avatar you put on Discord and header images people use to present themselves on other social media platforms.

Download Original Trias logo: https://drive.google.com/drive/folders/1-LCPTTBtvjxm3zGtLgPKg2prk04xLOjm?usp=sharing

Step 2) Turn your design into an image file. Scan it, photograph it, or take a screen capture. Files should be 350 x 350​​ at minimum.

Step 3) Follow @triaslab and @trias_one on Twitter and reply to our tweet announcing the contest. Include your works and the hashtag $Trias.

Step 4) Synchronize the tweet and your avatar works to Trias Discord (Category: Avatar Contest | Channel: Works).

Step 5) Fill out the form.

Make sure to follow all these steps. If we don’t know your profile, we can’t give you your reward!

Note:

  • Multiple entries are allowed.
  • All the works submitted will be made to Special NFTs and be sent to the creators as a souvenir. And Triasurers can still use these avatars as their social media profile.

Grading Criteria

Rewarding Rule

Trustworthy and Reliable Intelligent Autonomous Systems

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