Over the last few months, I’ve been working on an on-chain AI agent that watches smart wallets on Solana to identify early trends, track whale behavior, and detect coordinated activity across memecoins.
I’m not here to pitch anything just to open up a discussion around the value of tracking behavioral signals vs. traditional TA.
Here’s a bit of what surprised me:
- Many early token launches are seeded by the same cluster of wallets before they hit traction.
- Some meme plays show identical entry patterns before explosive moves.
- Wallets that sell early are often more predictive than those that ape in at the start.
We’re building internal tools to analyze these flows in real time, and I’m curious:
What on-chain signals do YOU use (if any)? Do you trust AI to surface alpha before social media does?
I’d love to hear your thoughts. Also happy to share some anonymized case studies of past moves if there’s interest.
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