Since the Badge 001: Lass in Space was released, we’ve recruited 12 S-Rank Bounty Hunters, showing their support of the Bounty Hunter Tool– and in return getting access to the S-Rank Discord role where they have been testing out the beta releases and suggesting new features.
Also, membership has its benefits, as we held a prize giveaway of an original Lass in Space Avastar, won by Paul#6475.
Series 2 of Avastars has ended with Avastar #10199, leading in to Series 3– which means many new traits can be found, but also some of the traits, available only in series 1 & 2 are finished for Primes, and won’t be seen again until you can use Primes to breed Replicants.
Let’s look at some statistics for the first 10,000 Primes (excluding Founders and Exclusives #0-#200)
I’ve written a primer on Unique-By scoring — it’s worth understanding how these work and how they change over time, because strategically finding an Avastar with a unique combo of 2 traits (UB2) is a rare thing, and it can also mean that some combos will never be found once those traits have…
If you’ve enjoyed using the Avastars Bounty Hunter, please consider showing your support for its continued development via these commemorative Bounty Hunter Badges — on auction starting 11 Oct 2020 and ending 18 Oct 2020.
I’ve been an advisor on Avastars since before it launched, and an avid collector ever since.
In my free time I’ve been playing around with data analysis to help devise the UB Ranking score, and I’ve put together a few fun little open web ‘toys’ along the way:
One of those stats includes the UB Score or Unique-By Score a classification I helped the team define when I was analyzing the rarity of various Avastars.
So that article goes into a lot of detail about how to find the UB Score, but I thought it would be good to write a practical guide to finding & understanding the UB Score.
Use the AvastarBot to look up a UB2 or UB3 score. For instance, given the example at the top, you could type $ava 8807 in the Discord and see that listing. …
In Part 1 of this series, I wrote about the exciting new developments in wrapped NFTs. However, there are various projects that describe ‘wrapped’ tokens, so I thought it would be useful to give an overview.
To simplify the tech-jargon, I’ll refer to the different token standards as follows:
Since 2015, I’ve been involved in and advising on the space around digital collectibles and tokenization. It started with my working in the physical-to-digital space working with printed electronics to tokenize digital experiences, and then in 2017, I created the CryptoKitties Genome Project to eventually crack the DNA code for the newly launched NFT tokens.
Since then I’ve been advising on some great projects in the space, notably Avastars — but I’ve also been looking for a fun project of my own, so the NFT Hackathon is a great opportunity to explore an area I’m currently fascinated by: Wrapped NFTs.
As a quick recap of the project — Avastars are tokenized avatars which exist on the Ethereum blockchain, and notably they store all of the artwork on the blockchain itself. So compared to other projects where the art sits on a server somewhere, while the token is only a reference ID, Avastars are groundbreaking in the ‘art-on-chain’ movement.
Avastars are released in series of 5,000. For each series, people can scroll through a randomly generated gallery of Avastars composed of 12 different traits, ranging from common traits which appear 60% of the time to legendary traits which appear 0.25% …
I’m a sucker for all things related to time travel. I couldn’t get enough of Continuum (at least until they phoned in the final season), Primer is one of my favorite films, and I’ve just finished season 3 of Travelers (which gets bonus points for not violating the first law of thermodynamics in their use of consciousness-based time travel).
As a sort of fictional time travel connoisseur — I usually like to see how screenwriters deal with the recurring problems that arise from the genre. For instance, Doctor Who and The Flash like to have ‘paradox demons’ that will come after people who try to play around with the timelines too much — to avoid the problem of the ‘infinite undo’. Or stories like Edge of Tomorrow which make the ‘infinite undo’ the key part of the narrative structure. …
Since this post where I posted the key to understanding the Cryptokitties genes as 5-bit blocks and mapping those back to the cattribute traits, the community took this understanding and mapped it back to the work on deciphering the code itself, and finally we can see exactly how the breeding algorithm works and understand the exact probabilities of breeding specific offspring.