A New Generation of NFTs: Tubby Cats

Role

Fullstack Developer

Challenge

Create cohesive, aesthetically appealing randomly generated NFTs using 1600+ individual traits.

You can read a full write-up on the process on Mirror by clicking here.

Solution

  1. Palette-Based Image Generation: Created an algorithm in Python to sort traits based on "theme" which is referred to as palette type.

  2. Team Review: Created a review website for the team to manually review all 20,000 NFTs with the ability to "approve" or "deny" them to be in the final collection.

Sample of the palette-based generation output

Results

  • Completely unique NFT collection with 20,000 items, the first collection to ever use palette-based NFT generation

  • Sold out launch resulting in sales of over $5m+