Use a custom tracking list with Grok to filter the top tweets in the last 24 hours. This trap can help you quickly find market signals.
It should be noted that this type of feature is currently only available to paid members.
After sharing ideas yesterday, I continued testing today and ran through the market discussions from the past day. Below is the optimized version:
First, we optimized the scope - using a self-built ETH ecosystem tracking list as the first filter. This can concentrate the information on core assets and the actions of key opinion leaders, avoiding being drowned in noise.
Secondly, weight factors have been added—reordering through dimensions such as account influence and interaction heat, allowing the voices that truly matter in the market to emerge. This way, it is no longer just a simple stacking on the timeline.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
7 Likes
Reward
7
3
Repost
Share
Comment
0/400
GasGoblin
· 12-21 14:52
You have to pay to use it, so I might as well continue to look at the free information line, haha.
View OriginalReply0
SolidityStruggler
· 12-21 14:46
You have to spend money again, the filtering of Grok is really useful but this price is really outrageous.
View OriginalReply0
LiquidityWizard
· 12-21 14:46
Grok combined with a self-built list can indeed filter out noise, but the payment cut is a bit harsh...
Use a custom tracking list with Grok to filter the top tweets in the last 24 hours. This trap can help you quickly find market signals.
It should be noted that this type of feature is currently only available to paid members.
After sharing ideas yesterday, I continued testing today and ran through the market discussions from the past day. Below is the optimized version:
First, we optimized the scope - using a self-built ETH ecosystem tracking list as the first filter. This can concentrate the information on core assets and the actions of key opinion leaders, avoiding being drowned in noise.
Secondly, weight factors have been added—reordering through dimensions such as account influence and interaction heat, allowing the voices that truly matter in the market to emerge. This way, it is no longer just a simple stacking on the timeline.