The most annoying thing in on-chain trading isn’t failing to find a token.
It’s that once you’ve found one, you still have to keep watching it.
Many opportunities aren’t suitable to buy immediately at the start, so you can only put them into your watchlist first:
Will the wallet activity keep coming in?
Will liquidity get thicker?
Is there any KOL discussion spreading?
Is the price still sitting at a spot nobody has noticed yet?
The problem is, no one can keep staring at it forever.
You go to sleep, open a meeting, go out for dinner—then come back to find the conditions have changed, but the most critical window has already passed.
So when I look at Velvet @Velvet_Capital working on an AI Copilot and its own on-chain model, I don’t really want to interpret it as:
“AI helps you catch 100x coins.” That sounds like nonsense.
What I want instead is something that can help me monitor conditions.
For example, if I’m watching a new token on Arbitrum or Base, I don’t want the AI to tell me whether I should buy it.
I want it to remind me when conditions change:
Liquidity suddenly spikes;
A few old wallets start buying in;
Trading activity is no longer just low-volume wash trading;
Social attention has already clearly moved to lag behind the price.
Something like this is simple, but it’s genuinely useful.
What traders spend most of their energy on every day isn’t making a single decision—it’s maintaining dozens of half-formed judgments.
Which ones are still worth watching, and which ones have already stopped working;
Which signals are just noise, and which ones need to be re-evaluated.
Human brains easily mix these together, and in the end you trade based on instinct.
If Velvet’s AI can help on this layer, I think it’s more practical than “giving me an answer.”
Many trades aren’t missing answers—they’re missing an observer who stays clear-headed, doesn’t get emotional, and doesn’t get fed up.
Sometimes, a great tool isn’t meant to make you more aggressive—it’s meant to help you not miss the things you were already seeing, but would otherwise overlook.
It’s that once you’ve found one, you still have to keep watching it.
Many opportunities aren’t suitable to buy immediately at the start, so you can only put them into your watchlist first:
Will the wallet activity keep coming in?
Will liquidity get thicker?
Is there any KOL discussion spreading?
Is the price still sitting at a spot nobody has noticed yet?
The problem is, no one can keep staring at it forever.
You go to sleep, open a meeting, go out for dinner—then come back to find the conditions have changed, but the most critical window has already passed.
So when I look at Velvet @Velvet_Capital working on an AI Copilot and its own on-chain model, I don’t really want to interpret it as:
“AI helps you catch 100x coins.” That sounds like nonsense.
What I want instead is something that can help me monitor conditions.
For example, if I’m watching a new token on Arbitrum or Base, I don’t want the AI to tell me whether I should buy it.
I want it to remind me when conditions change:
Liquidity suddenly spikes;
A few old wallets start buying in;
Trading activity is no longer just low-volume wash trading;
Social attention has already clearly moved to lag behind the price.
Something like this is simple, but it’s genuinely useful.
What traders spend most of their energy on every day isn’t making a single decision—it’s maintaining dozens of half-formed judgments.
Which ones are still worth watching, and which ones have already stopped working;
Which signals are just noise, and which ones need to be re-evaluated.
Human brains easily mix these together, and in the end you trade based on instinct.
If Velvet’s AI can help on this layer, I think it’s more practical than “giving me an answer.”
Many trades aren’t missing answers—they’re missing an observer who stays clear-headed, doesn’t get emotional, and doesn’t get fed up.
Sometimes, a great tool isn’t meant to make you more aggressive—it’s meant to help you not miss the things you were already seeing, but would otherwise overlook.
