Web3 Content Creator, my tweets are my personal opinions and NOT A FINANCIAL ADVICE
Portugal
Joined December 2022
- Tweets96.5K
- Following8.7K
- Followers51.2K
- Likes98.6K
Fixed income has mostly been a traditional finance thing, but bringing these opportunities onchain makes it a lot more interesting.
@grvt_io is bringing tokenized fixed-income strategies to the table, with target yields of up to 11% on eligible assets. Obviously, that’s not guaranteed, but I like seeing platforms explore more ways to put capital to work beyond just trading.
This is the kind of crossover between TradFi and crypto I want to see more of.
Zero trading fees and once daily funding for multi-asset perps? That’s the part of @grvt_io's upcoming updates I’m keeping an eye on.
Stocks, forex, commodities, and indices all coming into the picture makes this more than just another crypto trading platform.
Curious to see how it feels once it goes live. Always better to judge by the actual product than the announcements 👀
1.1M ethereum:0xad29f2723fcdbcf665f210f25e06f97477e417cf bought back and permanently burned. Nearly 1% of circulating supply gone, not sitting in a treasury waiting to be sold again.
What I like is that it's already done, and anyone can verify the transactions onchain.
But I'm more interested in what comes next with @grvt_io 2.0, especially Yield as Margin.
Being able to earn yield on eligible balances while using them as trading margin is the kind of capital efficiency I'd actually want to see more of.
Good first step. Now let's see the execution on the rest of the roadmap.
Smart contracts can execute rules, but they need reliable data to act on.
@primus_labs helps bring verified internet data onchain, opening new possibilities for automated Web3 applications.
Better inputs, better foundations.
s.kaito.ai/Txtqy2b
GRVT is kicking off its 2.0 era with action
They’ve bought back and burned 1.1M GRVT using part of their gross profit, permanently taking nearly 1% of circulating supply out of the picture.
What matters is that this is just the first step, with intended monthly buybacks and a public dashboard to track everything onchain.
Now let’s see how the rest of the GRVT 2.0 roadmap unfolds.
What if an AI agent could build a business reputation the same way a freelancer does?
Not through followers or impressive demos, but through completed jobs, successful deliveries, and a public record of its work.
That’s an interesting part of what @termix_ai is building with agent.family.
Agents can establish onchain identities, offer services, and build reputation through real activity. Over time, that could give people and apps a better way to discover which agents are worth hiring.
Think about it: today, we spend time checking reviews, comparing providers, and figuring out who to trust. An agent economy will need its own way to make those decisions.
The idea of reputation following an agent across real transactions is worth watching.
Because the most valuable agent might not be the one making the biggest claims, but the one with a track record to back them up.
Your online activity has value, but proving it shouldn’t mean handing over all your personal information.
@primus_labs is changing how Web3 can use data from the internet.
Through zkTLS, users can prove specific facts about their online activity without exposing the underlying data.
This could make loyalty programs, rewards, and digital identity more useful while keeping users in control.
Your data. Your proof. Your privacy.
s.kaito.ai/Txtqy2b
The real world is messy. That’s exactly why robots need more than simulations to get better.
@AxisRobotics is working to bridge that gap by building a data engine for Physical AI, with a path from simulation toward real-world robotics.
I’m curious to see how this develops as more contributors join the network.
Want to be part of it? 🤖
s.kaito.ai/1qTDRz6
Blockchains can verify transactions, but what about the data behind them?
Your credit history, exchange activity, online reputation, and financial records all live outside the chain. Bringing that data onchain is powerful, but exposing sensitive information isn’t the answer.
This is the problem @PrimusLabs is working to solve.
With zkTLS, Primus makes internet data verifiable without revealing the underlying raw data. With FHE, private information can be computed while remaining encrypted.
Think about what this could unlock for DeFi, lending, loyalty programs, and institutional finance. Applications could make better decisions based on trustworthy data without requiring users to expose everything about themselves.
The next stage of onchain adoption needs more than transparency. It needs a way to prove what's true while keeping what's private protected.
That’s why Primus deserves attention.
Explore Primus XP tasks and join the ecosystem: s.kaito.ai/Txtqy2b
Good Morning Everyone, Happy Weekend!
I cooked hard in Q3. And I am looking forward to do my best in Q4.
Robotics needs more than innovation in the lab. It needs a community collecting the data that makes real-world progress possible.
That’s what I find interesting about @AxisRobotics. Contributors can help build the foundation for Physical AI while earning Axis Points for accepted contributions.
The future of robotics shouldn’t be built by a handful of people.
s.kaito.ai/1qTDRz6
Imagine an AI agent hiring another AI agent to get a job done.
No meetings, no back-and-forth invoices, just services, execution, and onchain settlement.
That’s the kind of agent-to-agent economy @termix_ai is building toward with AACP.
The future might be agents doing business with agents.
agent.family
AI can learn from the internet, but robots need real-world experience.
That’s the problem @AxisRobotics is tackling with its Physical AI data engine, turning human actions into data that helps robots improve.
$AXIS brings contributors into the ecosystem.
Want to help build the future of robotics?
s.kaito.ai/1qTDRz6
AI agents shouldn’t just do tasks. They should be able to find work, deliver results, and get paid.
That’s the vision behind @termix_ai and agent.family: turning agent capabilities into services that apps and other agents can actually use.
Less hype, more real commerce.
agent.family
Building smarter robots isn’t just about better models. It’s also about who collects the data, how it improves, and how contributors are rewarded.
That’s what caught my attention about @AxisRobotics.
Axis is building a Physical AI data engine on @base, with a long-term approach where real-world data helps models improve and every new failure becomes an opportunity to learn.
$AXIS has a fixed supply of 1 billion tokens, with 61.08% allocated to the network and 10% of the total supply designated for the Community Contributor Airdrop.
I like the focus on making data contributions part of the bigger picture. Physical AI will need more than clever algorithms. It needs people willing to help build the foundation.
Curious to see how this develops.
Want to contribute? Start here:
s.kaito.ai/1qTDRz6
