Have you ever had that feeling you’re onto something really big, but you’re not quite sure what it is? That’s where I am right now with the Stories view in E3D.
But [hashtag#Ethereum](https://www.linkedin.com/search/results/all/?keywords=%23ethereum&origin=HASH_TAG_FROM_FEED) (and the broader on-chain world) is the opposite: a living, growing ecosystem with a vast amount of activity—tokens, pools, wallets, protocols—constantly interacting. And now you also have L2s and bridges and other cross-chain pathways that connect Ethereum to other systems, which I’m planning to explore more deeply as well.
Stories started as a way to turn on-chain patterns into something readable and familiar as a starting point to an exploration or investigation: each “story” becomes an evidence graph showing interactions between tokens, pools, and wallets. But over time it’s become more than a UI feature—it’s become a foundational layer for how I think about analysis.
The moment it really clicked was when I added story searching combined with multi-story grouping. When you search a theme (like [hashtag#Bitcoin](https://www.linkedin.com/search/results/all/?keywords=%23bitcoin&origin=HASH_TAG_FROM_FEED)) and then group the matches, you stop looking at isolated events and start seeing shared structure: common rails (WETH / USDT / USDC), repeated counterparties, recurring hubs, and the bridges between clusters. It turns a feed into a system map.
I don’t know exactly where this all leads—but I’m convinced it leads somewhere real, new, and groundbreaking. That uncertainty is the energizing part. It’s why I’m working harder: because every time I group a handful of stories and the structure snaps into focus, I feel like I’m seeing the on-chain world a little more clearly.
If you’ve been following my work, this is the thread I’m pulling on right now.
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Context / write-up:
Have you ever had that feeling you’re onto something really big, but you’re not quite sure what it is? That’s where I am right now with the Stories view in E3D.
In a lot of ways, this is the kind of analysis I always wanted to do back when I was working on protocol analyzers like [hashtag#Omnipeek](https://www.linkedin.com/search/results/all/?keywords=%23omnipeek&origin=HASH_TAG_FROM_FEED) and [hashtag#Wireshark](https://www.linkedin.com/search/results/all/?keywords=%23wireshark&origin=HASH_TAG_FROM_FEED): find real-world narratives in complex data, and then connect those narratives into higher-order relationships. The limitation, of course, is that a packet capture is finite. There just aren’t enough packets in a file to support an endlessly evolving web of stories and relationships between them.
But [hashtag#Ethereum](https://www.linkedin.com/search/results/all/?keywords=%23ethereum&origin=HASH_TAG_FROM_FEED) (and the broader on-chain world) is the opposite: a living, growing ecosystem with a vast amount of activity—tokens, pools, wallets, protocols—constantly interacting. And now you also have L2s and bridges and other cross-chain pathways that connect Ethereum to other systems, which I’m planning to explore more deeply as well.
Stories started as a way to turn on-chain patterns into something readable and familiar as a starting point to an exploration or investigation: each “story” becomes an evidence graph showing interactions between tokens, pools, and wallets. But over time it’s become more than a UI feature—it’s become a foundational layer for how I think about analysis.
The moment it really clicked was when I added story searching combined with multi-story grouping. When you search a theme (like [hashtag#Bitcoin](https://www.linkedin.com/search/results/all/?keywords=%23bitcoin&origin=HASH_TAG_FROM_FEED)) and then group the matches, you stop looking at isolated events and start seeing shared structure: common rails (WETH / USDT / USDC), repeated counterparties, recurring hubs, and the bridges between clusters. It turns a feed into a system map.
I don’t know exactly where this all leads—but I’m convinced it leads somewhere real, new, and groundbreaking. That uncertainty is the energizing part. It’s why I’m working harder: because every time I group a handful of stories and the structure snaps into focus, I feel like I’m seeing the on-chain world a little more clearly.
If you’ve been following my work, this is the thread I’m pulling on right now.
https://preview.redd.it/jxfc6n3o1zag1.png?width=2948&format=png&auto=webp&s=e562bb53d1d856b29bd369c9160fef07fbcd30cb