#holybull still very early mc is 200k @stoolpresidente said he will buy it be early the next #jailstool
CA: FFsunJgWCVsh4obt1SbBRVMRocUb7bhKbFamyZYzfRbS
https://t.co/ovN5tB0h9H
Bloom AI Council is now live.
Most AI-powered DeFi apps rely on a single model to make recommendations.
Bloom doesn't.
Every recommendation is reviewed by a council of specialized agents:
→ Yield Analyst
→ Risk Analyst
→ Smart Money Analyst
→ Market Analyst
When a user asks:
"Where should I deploy 500 USDC?"
the process looks like this:
User asks Bloom
→ Bloom scans available opportunities
→ Yield Analyst evaluates returns
→ Risk Analyst evaluates downside
→ Smart Money Analyst analyzes capital flows
→ Market Analyst reviews broader conditions
→ Agents debate independently
→ Consensus score is calculated
→ Confidence score is generated
→ Final recommendation is returned
Users receive:
• Recommended vault
• APY
• Risk assessment
• Council consensus
• Confidence score
• Simulation access
• One-click deployment through Agent Wallets
This is a major step toward agent-driven capital allocation.
Not one AI opinion.
Multiple agents.
Independent analysis.
Consensus-based recommendations.
Built on @base .
Another step forward.
Bloom is joining the IBM Partner Plus ecosystem.
As we build the capital intelligence layer for DeFi, we're excited to learn, grow, and accelerate alongside some of the world's leading technology organizations.
Thank you @IBMPartners@IBM.
Back to shipping.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
If a large liquidation event is coming, I care less about the prediction and more about the scenarios.
That's actually why I've been spending so much time on @usebloom_base .
Simulating outcomes, tracking risk, measuring capital flows, and understanding what happens if you're wrong.
Most people prepare for upside.
Very few prepare for liquidation cascades.
We've been shipping non-stop.
Over the last few weeks Bloom has evolved from a simple DeFi interface into an AI-powered capital intelligence platform.
Recently shipped:
• Smart Money Analysis
• Bloom Simulations
• Digital Twin Framework
• Privacy Layer
• Copilot Actions
• Agent Council
• Agent Reputation
• Outcome Tracking
Now Bloom can:
→ Analyze opportunities
→ Simulate thousands of scenarios
→ Debate decisions across multiple AI agents
→ Track agent performance over time
→ Measure outcomes
→ Protect strategy intelligence
The vision is simple:
Observe.
Simulate.
Protect.
Act.
We're just getting started.
Introducing Bloom Privacy Layer
Your strategy is your edge.
Privacy Layer v0.1 helps protect the intelligence behind your decisions:
✓ Private Mode
✓ Hidden amounts
✓ Hidden wallet addresses
✓ Hidden strategy labels
✓ Encrypted Copilot memory
✓ Encrypted simulation history
Bloom now protects strategy metadata while keeping users fully in control of their capital.
This is the first step toward a much bigger vision:
Private intelligence for DeFi.
🔒 Your strategy.
🔒 Your data.
built on @base
New in Bloom
Smart Money Analysis.
Bloom continuously analyzes Base market activity and ranks opportunities using:
• Liquidity
• Volume
• Turnover
• Momentum
See something interesting?
Click "Explain".
Copilot researches the opportunity, analyzes the signal, and explains why it was ranked.
No endless dashboards.
No hunting through data.
Just ask Bloom.
Observe.
Simulate.
Protect.
Act.
Dev Update
Today we shipped Bloom Simulations.
Before capital moves, Bloom can now model up to 10,000 possible futures and evaluate how a position performs across different market conditions.
Examples:
• BTC +20%
• BTC -30%
• Stablecoin depeg
• Liquidity crunch
• Base ecosystem expansion
• APY compression
Behind the scenes, Bloom combines:
• Macro Agent
• Yield Agent
• Risk Agent
• Market Agent
to stress test positions and identify risk before deployment.
Instead of only showing:
APY = 12%
Bloom can now estimate:
✓ Expected APY
✓ Survival Probability
✓ Max Drawdown
✓ Liquidation Risk
✓ Risk-Adjusted Outcome
The goal isn't to find the highest yield.
The goal is to find the best outcome after simulating thousands of possible futures.
This is the first step toward our long-term vision:
A Financial Digital Twin of the on-chain economy.
Before capital moves.
The future is simulated.
TRY : https://t.co/iYjRJUaZWn
a team that deliver even when theres a bloodbath and btc bleading this the kind of team base needs its just matter of time and everyone will say i should've listened to your call
Meet Bloom Copilot.
Your portfolio.
Your memory.
Your market terminal.
Ask:
→ What should I do today?
→ Show ETH chart
→ Analyze VVV
→ What are smart wallets buying?
→ Deposit into the best vault
→ Withdraw my position
Powered by MiMo reasoning.
Grounded in live market data, portfolio data, and agent memory.
Every action stays execution-safe and user-approved.
Talk to your capital.
Copilot : https://t.co/iYjRJUaZWn