Stablecoins present a path to sustain dollar dominance.
The U.S. national debt is growing out of control, and the demand for that debt is waning. For the first time in 30 years, foreign central banks hold more reserves in gold than U.S. Treasuries.
At the same time, stablecoins are projected to grow into the trillions of dollars by 2030 with over 99% denominated in USD. They're already a top 20 (and quickly growing) holder of U.S. Treasuries today.
The opportunity couldn't be more clear.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
I analyzed minting data from the top 150 NFT collections on @opensea. Here are some benchmarks and takeaways that could offer creators some insight.
Choosing an “ideal” mint price is super important. A higher price means more revenue generated upfront, assuming there is enough demand. But a higher price will also dampen the potential returns for your earliest backers, which could impact secondary volume.
Introducing the NFT Analyst Starter Pack. Enter a contract address, and with one command generate CSV extracts for all token transfers, historical sales, and each underlying item’s metadata (w/ calculated rarity scores). Powered by @AlchemyPlatform. 🧵👇
Having spent a lot of time down the NFT rabbit hole, it's surprisingly difficult to export even the most basic data associated with a collection (transfers, sales, and metadata).
That’s why we built the NFT Analyst Starter Pack, which is designed to be extremely lightweight and easy to use — even for beginners! All you need is a free Alchemy API key.
Statistical rarity can be very misleading when it comes to NFT valuations. Why? Because cultural trends are often more powerful. Here’s an example of this you can see in the CryptoPunks data 👇.
Out of 10,000 punks, there are exactly 259 that have a “Hoodie” and 212 that have a “Clown Nose”. If you believe that rarity determines value, then clown noses should be priced higher than hoodies - this is provably untrue.
Hoodie punks have consistently been sold at a 2-4x premium. One simple way to measure this is by looking at the market price of hoodie punks sold relative to the average price of the last 50 sales (excluding Zombies, Apes, and Aliens).
Event logs are one of the most important sources of historical data on Ethereum. Learning how they are structured, and how to access them, is critical for anyone who wants to analyze smart contract interactions. Here’s what I’ve learned. 🧵👇
When smart contracts on Ethereum are invoked, they will often emit event logs that describe what has happened. These logs provide a way to store small amounts of data permanently on the blockchain.
Each log record consists of up to four 𝒕𝒐𝒑𝒊𝒄𝒔 as well as 𝒅𝒂𝒕𝒂. Topics are searchable fields that can hold up to 32 bytes. Because of this limitation, they are good for storing things like addresses but cannot be used reliably for things like arrays or strings.
The Ethereum developer community is more vibrant than ever. We estimate that more developers have entered the Ethereum ecosystem so far this year than the previous two years combined. 🧵👇
We can analyze the growth of Ethereum's developer activity by looking at the GitHub stars on key developer repositories (web3js, truffle, solidity, hardhat, ethersjs, OpenZeppelin contracts, web3py, and scaffold-eth) over time.
There are now over 39K Github accounts that have starred at least one of these repositories. I believe this is a decent proxy for the number of unique developers building on Ethereum.