Core Concepts
Last updated
Last updated
EaveAI doesn’t just track X Spaces, it understands them.
Using task-trained language models and sentiment-aware algorithms, it listens live, analyzes speaker behavior, and extracts meaningful insights in real time.
Below are the foundational concepts that power your experience with the Eave Data Hub.
Every conversation in a Space gets broken down into structured data. Here’s what Eave is watching:
Spaces
Every Space that goes live, finishes, or is scheduled across crypto Twitter
Speakers
Every speaker currently talking — and how active or influential they are
Projects/Tokens
Every time a project is mentioned — plus context, price, and sentiment
Quotes
Word-for-word snippets that get flagged as key moments
Sentiment
Real-time shifts in mood, tone, or crowd reaction
Topics
Recurring themes or categories of discussion (e.g., DeFi, NFTs, AI)
Alpha = Information advantage.
On X Spaces, alpha often drops before it hits headlines or price charts. Think:
Low-cap tokens mentioned by trusted voices
Founders hinting at upcoming news
Early reactions to a market narrative
Crowd energy shifting on a specific project
Eave uses AI to detect when something feels “alpha-y”, based on speaker credibility, tone, topic frequency, and listener response.
💡 Pro Tip: Look for projects with 3+ mentions in under an hour. That’s often where momentum begins.
Instead of This:
Scrubbing through 90-minute replays
Checking price charts after the sentiment shifted
Hunting down that one tweet someone mentioned in passing
Project mentions as they happen
Speaker sentiment and quote highlights
Contextual dashboards showing who’s talking about what and how often
A firehose of fresh alpha — already filtered, cleaned, and tagged
💡 Pro Tip: Set a 5-minute morning check-in with Eave. That’s often enough to catch what others missed overnight.
The more Spaces the system listens to, the smarter it gets.
It learns which voices matter.
It improves how it recognizes sentiment and signal.
It adapts to changes in crypto slang, speaker behavior, and project lingo.
What’s “just noise” one month might be next month’s 100x. Eave is built to adapt, detect, and deliver — even as narratives shift.
The upcoming manual walks you through how it works, what each section does, and how to use it to stay ahead of the curve. Traders use it to catch early signals. Researchers use it to map narratives. Power users use it to skip the noise and go straight to what matters.
Every feature here answers a single question: What’s being said, and why does it matter right now?
