I create data-driven insights and performance metrics for Web3 ecosystems — from DEXs and staking platforms to lending protocols and AI agents.
I’m ⚡laser focused⚡ on creating implementable metrics which would help projects scale and grow
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Want to work together?
Visit my dashboard on flipside
DM me on Twitter @chisomdickson9
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Curious in how i analyze such metrics
bringing data and insights to life. I use
SQL and environments such as Flipside
and Dune to make raw data in a readable
format
This is a Dashboard containing Bean Swap a Dex, on the Monad containing metrics on the total users, total transactions, total platform volume as well as charts showing metrics on daily transactions and daily volume
New Users aren’t exempted and a chart showing relationship between cumulative users and returning users
Also a dashboard on the Core Ecosystem, involving Sumer Money, a lending protocol,
With Metrics including the total market size, total amount borrowed in USD, withdrawn, including the total users involved
It also contains a tool used in to differentiate between the various tokens listed on the platform
This is a dashboard on B14g on Coredao Ecosystem which allows users to stake $CORE and $BTC while getting $dualCORE in return
it contains metrics from users, as well as the Total Value Locked
With this dashboard, users could keep track of validators and the amount delegated to them
This Dashboard contains analysis on Virtuals Protocol, an AI agent, on the Base Ecosystem,
Highlighting AI agents listed on the platform,
But Contains Graduated Tokens only
It contains Volume within 24hr, 7 days and 30 days helping users locate tokens doing well based on volume allowing degens to make the best out of it
