Indexed Podcast

#8 /nft AMA ft. @hildobby 

hildobby is Dragonfly's Head of Data and the #1 @dune.eth wizard. He has worked on and published NFT data for the last two years including an open source wash trading filter (copied by The Block, @defillama and others since). He has also published work on other crypto sectors including staking, MEV, blobs, ETF flows and much more. He is also the host of /indexed, a podcast focused on exploring crypto through data.

📅 Tue, 23 July @ 4pm CET / 10am EST — ask your questions in the comments!

what are some of the most surprising lessons you’ve learned while analyzing onchain data?

1. It's all about understanding protocols, SQL and knowledge about non-blockchain analysis won't matter as much as you may think. the pro tip is to simply use the protocols you analyse and know how to read etherscan

2. tagging is all about centralised entities who refuse to share their addresses (ie: staking, ETFs, CEXs...). At this point it's trivial to tag addresses from decentralised entities and you will find them across github, nansen, arkham, dune, etherscan, etc

3. it's super hard to make money independently as a data/researcher and i hope that changes, it's within everyone's interest to have analysts make public goods instead of every company in that sector redoing the work