Etherscan Token Flow Analyzer 📊💸
Plus... how one founder accidentally made $16K on Curve
Etherscan data is wonderful, but pulling data from their API can be tricky sometimes. Even AI has trouble building working scripts (and yet somehow the new narrative is to trust AI to manage your tokens? HFSP…)
We needed to analyze a user’s comprehensive inflow/outflow of tokens on an L2, so we thought to publish the scripts we use so as to save you time. Using this repository, you can easily identify a specific user and tokens you are interested in tracking to visualize their entire history.
For instance, you can see token inflows and outflows for a Curve user…
The Jupyter Notebook shows off several visualizations you can run once you’ve scraped the data. For instance, perhaps you want to view the data chronologically
Or identify major counterparty addresses…
Or summarize inflows versus outflows
We look forward to seeing how you use it:
Why is this important? The charts above actually tell a very interesting story…
If you’re looking to launch a startup, it’s actually highly favorable to do so using web3 as opposed to web2.
We’d long marvelled at how flywheel incentives were actually capital efficient, that is, how you could earn sometimes $2 for every $1 you put in.
We mentally wrote it off. Then we looked a bit closer… DeFi really is paying out…
You think it’s already DeFi Summer, but most startup founders haven’t even figured out that they can get launch their company and get paid at the same time?
What follows is a story of misadventure… an attempt to spend money out of pocket to bootstrap liquidity on Curve… but turning a profit instead.
One founder tried to lose money, but instead raked in $16K.