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Dan Robinson Profile picture
@danrobinson
Oct 14, 2022 • 1 tweets • 1 min read • Read on X
If you work with Ethereum data, this tool might change your life: abi-parser-nvk.vercel.app

You can enter any contract address, and it looks up the ABI and generates queries that can be run on BigQuery to create parsed tables for each event or function call on that contract: Image

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More from @danrobinson

Dan Robinson Profile picture
Mar 7
Introducing the auction-managed AMM!

A new AMM design that:

⚖️ Reduces LVR
⚙️ Optimizes swap fees
📈 Smooths LP returns
🌊 Should attract higher liquidity than any fixed-fee AMM

New paper with @ciamac (@paradigm / @Columbia_Biz) and @AustinAdams10 @saraareynolds (@Uniswap) Image
Two of the most important challenges in AMM research are:

* Minimizing losses to informed flow (i.e. reducing loss-vs-rebalancing)
* Maximizing revenue from uninformed flow (i.e. optimizing fees)

The am-AMM targets both of these problems with one mechanism.
The am-AMM rents the right to manage the pool to the highest bidder, in a continuous auction we call a “Harberger lease,” with rent going to liquidity providers.

The pool manager has the power to set the swap fee, and to receive those fees.
Read 8 tweets
Dan Robinson Profile picture
Jul 17, 2023
Five reasons I think UniswapX changes the game for decentralized exchange, MEV, and interoperability 🧵

https://t.co/dapv2tRxrUuniswap.org/whitepaper-uni…
Image
1. The architecture opens up a vast design space for DEX.

Signed orders (or “intents,” to use the parlance of our times) can be more efficient, more flexible, and ultimately more powerful than transactions.
2. It's a better foundation for orderflow auctions that return MEV to users.

Today's OFAs are usually built on tx-based swaps, which are an awkward fit (generally requiring multiple transactions and extra fees paid onchain).

I think tomorrow's OFAs will be built on UniswapX.
Read 10 tweets
Dan Robinson Profile picture
May 1, 2023
Introducing Blend!

@blur_io wanted a lending protocol with:

* Arbitrary collateral, including NFTs
* No oracles
* No expiries
* Market-set interest rates

So @transmissions11 and I worked with them to design a new mechanism

Here’s how it works 🧵

In Blend, lenders are matched peer-to-peer with borrowers

Lenders sign off-chain offers that specify an interest rate and a collection they're willing to lend against

Borrowers can select the best available offer to instantly borrow against their NFT on-chain
Loans are perpetual by default, with a constant interest rate

If interest rates fall or a borrower wants to leave a position, the borrower can repay at any time (and instantly take a different offer with a better rate, if they want) Image
Read 7 tweets
Dan Robinson Profile picture
Dec 4, 2022
It looks like ChatGPT doesn’t distinguish between questions and answers, so you can train it to give whatever kind of answer you want by giving it the first few words of the desired response
Hacking the AI is old news, the real trick is getting the AI to hack you
Read 6 tweets
Dan Robinson Profile picture
Jul 19, 2022
One fun thing about being in Europe is clicking “I accept” on a GDPR popup six hundred times a day
If you use private browsing it’s even worse because it shows up every time

So GDPR actively deters people from protecting their own privacy
Another perversity is that it trains people to just click accept without reading
Read 4 tweets
Dan Robinson Profile picture
Jun 27, 2022
Suppose you have a protocol that lets you split 1 USDC into two tokens, 1 of token A and 1 of token B.

Anyone can redeem 1 A + 1 B to get 1 USDC, at any time.

What price will these tokens trade at?
Suppose A is trading at 0.75 USDC and B is trading at 0.25 USDC

Is there an arbitrage?
To those who think the tokens have a natural tendency to trade at 0.5 USDC each:

Suppose someone deploys a similar contract that splits B tokens into B1 and B2 tokens, with the same rules

What prices should A, B1, and B2 tokens trade at?
Read 5 tweets

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