Pretty Flacko

I started upskilling my skill stack by adding python to it and here's my first python build. I analyzed 1,885 days of on-chain data comparing PancakeSwap vs SushiSwap on BNB Chain gotten previously from my dune code. PancakeSwap has processed $3.85 TRILLION in volume while SushiSwap just $355 million. That's a 10,000x gap. Here's what the data actually shows: 🧵👇

Building a polymarket smart trader detection bot as a Data Analyst is not something I had planned for Q1. Here are some of the smart Traders I have been able to spot and will be following closely over the next few months, along with some of the bugs that nearly broke everything. 🧵

I've been sick for the past few days and somehow still spent an insane amount of time this week building this, and I finally have an update rolling out in the next few hours. I spent a good amount of time digging into Polymarket and I saw that people have been making absurd figures on there. Glad to say I have been uncovering it and will be dropping a breakdown of what I have been working on. A form will be dropped for interested persons, but with a very small limit as I don't intend this to be open to the public. This image is a sneak peak of some of the guys I have been able to track. Regardless I would keep building. Turn on notifications

I spent several hours and came up with a 5 minutes read breaking down the data behind @Conlaunch_Bot and the numbers explain exactly why $CLAUNCH moved the way it did. A week ago I saw some top OGs shilling it, so I dug into the metrics to see what's really happening under the hood. Here’s the breakdown. 👇 For anyone new to it: Conlaunch is the native token launchpad on Base built for @ConwayResearch agents. It lets AI agents instantly launch tokens with built-in liquidity via Uniswap V4 hooks, and the deployer earns: 💰 80% of LP fees 💰 20% goes to ConLaunch This essentially turns autonomous AI into self-funded, economically sovereign agents. What’s interesting is this: Even though $CLAUNCH is still down bad from ATH, it’s up over 350% since I completed this dashboard simply by tracking product usage vs token price and comparing that to Dex Metrics. The data always show what the price does next and I spotted the move long before. This breakdown covers 3 key sections: • Bot / Launchpad Metrics • Token Transfer Metrics • DEX Metrics Each one contributed individually to my conviction. Before we go in fully, here's a link to the full dashboard so do well to check it out: dune.com/jaybeecode/conlaunc… BOT METRICS Conlaunch_bot behaves like a streamlined token factory: With only one API call, the agent deploys a fresh token with an instantly tradable Uniswap V4 LP. So far, 544 tokens have been deployed using Conlaunch. Daily deployments have Slowed down which signifies a decline in product usage… But the next metrics are where things get interesting for traders. DEX METRICS When I plotted the DEX data, something stood out immediately: Feb 23rd was the bottom. Volume, number of trades, and daily traders all hit their lowest point. The very next day, I was able to spot when each of these metric and I started positioning. That spike signaled a relief bounce coming before CT caught up. Also one interesting fact was is that In just 7 days, $CLAUNCH pushed over $10M in DEX volume — impressive for a new project that is trying to take self autonomy to a whole new level. TOKEN TRANSFER METRICS The most fascinating metrics here is the daily transfer and the new holder growth which (despite being a daily snapshot) has seen some decent increase over the past 7 days with the most valuable being the 1 day as this helped in spotting the relief bounce. This is one of the strongest leading indicators for microcaps on Base. With the sentiment around $CLAUNCH on X, I expected a relief bounce and it already happened. Any further move would be dependent on how the numbers in this dashboard which I expect to move more because I'm heavily bullish on the Agentic economy. PS: This isn’t a paid shill — just my research process and how I interpret the numbers. Special shout-out to @NobleIrons7de for the early call that inspired this dashboard. Data family: @AnalyticSages Data Source: @Dune

What if blockchain data wasn’t a mess? Here's how @GraphAIOfficial is redefining Web3 with AI-driven knowledge graphs, powering DeFi, RWAs, and beyond. Dive into why GraphAI is the data layer Web3 desperately needs. A Thread 🧵🧵