Methodology

Dashboard Objective

Explain how AllDomains Work and significant events that can correlate to its activity over time, focus in answering the following questions:

How many domains were registered so far, and what domain is the most popular?
How much was generated in registration fees so far? (In the case of .bonk domains, how much BONK was burned?)
For domains with fixed length registration periods, what is the most common registration length?
For domains with character length premiums, how many premium domains were sold? Are they more popular than regular domains?
Are users registering more than one name and/or domains?

Dashboard Method

Using Flipside Tables of Solana I'll track the activity of AllDomains using:

Tables Used to get the Activity and Prices.

solana.core.fact_events
solana.core.ez_token_prices_hourly

Contracts

TLDHkysf5pCnKsVA4gXpNvmy7psXLPEu4LAdDJthT9S -- AllDomains Main Program
ALTNSZ46uaAUU7XUV6awvdorLGqAsPwa9shm7h4uP2FK -- ALT Name Service Program

About the Data:
I have to use Panda Queries to get the data from AllDomains
https://flipsidecrypto.xyz/panda-gXSkiX/q/6oekBjvkFWkG/alldomain-query-alldomain-total-values

The main reason was that I couldn't make a query that could compile before 900 Seconds.

So I had to change my focus and decided to use its code, with some changes (made at the end of my queries) to give a new direction and give additional value to the data.

However all credits for the data and methodology goes to Panda.

Dashboard Sources

AllDomains Banner

AllDomains Image

AllDomains Docs

AllDomains Twitter

AllDomains: Human Readable Address