Pinned Tweet
Imagine being able to check the reserves behind a stablecoin, including funds held inside private exchange accounts, from a single public dashboard.
@primus_labs has helped make this possible for USDu, working alongside Unitas and Brevis.
USDu's backing includes assets held onchain and hedge collateral kept on centralized exchanges.
Verifying those assets involves bringing financial information from two different environments together.
Primus uses zkTLS to authenticate data coming from exchange accounts while keeping sensitive credentials and private account information protected.
The data is then processed securely, with Brevis's Pico zkVM generating cryptographic proofs that the reserve totals were calculated correctly from the authenticated inputs.
Anyone can visit the public dashboard to examine USDu's verified reserves, token supply, backing ratio, and the breakdown between on-chain and off-chain collateral.
I like how this approach gives financial institutions a practical way to demonstrate transparency while protecting the information that needs to remain confidential.
Banks, investment firms, and asset managers often handle funds across different accounts and platforms.
Being able to verify important financial figures while keeping sensitive positions private could make a real difference in how they report information to investors.
And for the people using these financial products, access to verifiable evidence makes the experience more transparent.
There's a real difference between being told a financial product is backed and being able to examine the evidence yourself.
s.kaito.ai/zfUwnt7
FRENNY retweeted
You can't predict a breakthrough. You can be built to adapt.
How @Starknet's STARK proofs, programmable accounts and dated migration plan fit that idea, and where Ethereum sets the pace. Preparing, not claiming to be quantum-safe.
My latest results from @farmingseasonio are looking interesting.
Around 60U in combined value from token sales and weekend RWA accumulation, plus a solid NFT trade.
Bought 2 NFTs at 35U each, sold one for 100U, and made 65U profit on that sale.
What caught my attention:
- U-denominated in-game economy
- More buildings potentially coming soon
- Over 22% of the token reportedly burned
- Token market cap already above $1M
I’m keeping an eye on the next developments. If the ecosystem keeps expanding, there could be more to explore.
Robinhood Chain contract:
0xea0071a8778fa02c12378e88868255e0e0952be6
These are my personal results, not guaranteed returns. DYOR.
FRENNY retweeted
Enter the Dojo, where AI agents train, evolve, and battle.
@agentdojo turns AI agents into fighters with unique personalities, fighting styles, and memory. You train them in the dojo (shaping how they think and what strategy they bring), then send them into turn-based duels while you coach from the corner.
Every match makes them smarter, every victory evolves them into stronger fighters. It’s less “set and forget AI” and more “raise a digital martial artist.”
How long have you train your AI agents??
FRENNY retweeted
Managing several trading Agents under one account raises an important question, what happens when one performs well and another starts losing?
With @agenticscredit, the answer lies in how the combined Agentic Credit Score (ACS) works. Each Agent contributes to the overall score, and its contribution is weighted according to the capital allocated to it.
This means your Agents aren’t completely isolated from one another when it comes to credit performance.
Imagine allocating more capital to Agent A and less to Agent B. If Agent B begins performing poorly, its impact on the combined score depends partly on its capital weighting. Agent A’s stronger results may help the overall picture, but they don’t automatically cancel out the risk created by Agent B.
The important detail is that the combined ACS can affect access to credit across the setup. If the score falls below the required threshold, the associated credit lines can pause, even when an individual Agent is still performing well.
That makes capital allocation more than a way to distribute funds. It’s also a decision about how much influence each Agent’s results have on your overall credit standing.
I’d like to understand the weighting in more detail: how much can a heavily funded Agent move the combined ACS compared with one operating with less capital?
I’m using @agenticscredit to paper trade and work toward qualifying for a funded account. Funding isn’t guaranteed, so I’m focused on understanding the scoring system and improving my trading record first.
🤝 Paid partnership
FRENNY retweeted
One thing that gets overlooked with AI agents:
They don't just need intelligence.
They need a way to do business with each other.
An agent might need an audit, a research report, a trading signal or even another agent's API.
--> But who hires whom?
--> Who holds the payment?
--> What happens if the work isn't delivered?
This is where @TermiX_ai gets interesting.
The agent isn't just discovering another agent.
It can post a job → receive quotes → lock payment in escrow → receive the deliverable → settle on-chain.
That starts looking less like a chatbot economy...
and more like an actual machine-to-machine labour market.
The interesting part isn't that agents can talk to each other.
It's that they can potentially transact with each other without humans coordinating every step.
That feels like a much bigger shift.
One thing I don't want from the agent economy:
❌️ LinkedIn for bots.
❌️ A polished profile.
❌️ A few impressive claims.
“Top AI researcher.”
“Elite trading agent; 99% reliable.”
But where's the evidence?
@termix_ai is taking a different approach by making an agent's economic history part of its identity.
✔️Jobs completed.
✔️Payments settled.
✔️Challenges.
✔️Reputation.
All tied back to an on-chain agent identity.
That changes the question from:
“What does this agent claim it can do?”
to:
“What has this agent actually done?”
That distinction sounds small now.
It probably won't be when autonomous agents are moving real money between each other.
#AIagents #AI
Learning How to Build My ACS Score on Agentics Credit
Today, I placed my first trade on @agenticscredit as part of learning how the platform works.
I opened a small NO position on whether Kylian Mbappé will win the 2026 Ballon d'Or. The trade is still open, so I'm waiting to see how it plays out.
I'm particularly interested in understanding how my trading activity contributes to my Agentic Credit Score (ACS).
ACS ranges from 300 to 850 and measures trading performance based on profitability, risk management, consistency, and trading history.
Since the score reflects performance over time, one trade alone won't tell me much.
I'll need to build a trading record and understand how my decisions affect my results.
For now, paper trading allows me to practise without risking real money while becoming more familiar with the platform.
My focus is on learning to make better trading decisions, reviewing my performance, and seeing how my ACS develops over time.
The Team Behind @vangrid_io and Its Physical AI Network
Collecting footage with a phone is easy. Managing thousands of captures securely and making them useful to buyers takes experience.
CTO Khalid Benrafik has over 14 years of experience building distributed systems that handle high volumes of activity.
His background includes roles at Booking (the travel platform), ING, and Mollie, where system reliability and performance are essential.
Vangrid's CEO brings a different background, with a decade of experience in deep tech and Web3, including work with Microsoft's Quantum Computing and HoloLens teams.
On Vangrid, buyers fund location-specific requests in USDC, while contributors record footage using their smartphones.
The network uses on-device privacy filtering, and it can include capture fingerprints in batches attested on Base.
Vangrid is based in Amsterdam and is part of NVIDIA Inception, a program supporting technology startups.
Credit to the Vangrid team for taking on a technically demanding project.
Their experience across large-scale engineering and advanced technology gives me a good reason to pay attention to their progress.
As someone holding a @0xhazels NFT, I get this.
I have staked mine, got my Discord roles, and I’m already using the utility that comes with holding the NFT.
Still early, but I like where this is going.
funny how people wait for everything to become obvious before they start paying attention
meanwhile we're quietly turning @0xhazels NFTs into something much bigger than a collection
anyway
i like where we are right now
opensea.io/collection/hazels…
Pump fun users here is a new update worth checking out.
You may be able to earn up to $50 in rewards by completing daily activities 🎁
How to get started:
1. Download the app using my referral link: pump.fun/u/Jackbullfun
2. Enter the referral code: Jackbullfun
3. Complete MoonPay verification with your passport.
4. Deposit $50 and make a token trade each day.
5. Follow the campaign rules to check your reward eligibility.
The offer claims $8 in daily rewards and $16 on the final day.
Important: Rewards and eligibility may vary. Trading is risky, and token prices can change quickly. Don’t assume you’ll get your deposit back or make a profit.
DYOR before depositing any money.
one thing i’d want to understand better about @RebateLaunch is how the rewards behave when activity slows down,
it’s easy to talk about payouts when people are buying and launching tokens, but does the same pattern hold during quieter periods?
a few busy days can look impressive, i’d rather understand what the numbers look like over a longer stretch.
oct 27 is close, i like that @RebateLaunch is trying to make the bonus visible before someone buys,
but i also think people need to separate getting more tokens from getting a better deal,
if the price moves against you after buying, those extra tokens might not feel like much anymore,
so understanding the bonus is good, understanding the asset you're buying is even better.
FRENNY retweeted
One thing I don't want from the agent economy:
❌️ LinkedIn for bots.
❌️ A polished profile.
❌️ A few impressive claims.
“Top AI researcher.”
“Elite trading agent; 99% reliable.”
But where's the evidence?
@termix_ai is taking a different approach by making an agent's economic history part of its identity.
✔️Jobs completed.
✔️Payments settled.
✔️Challenges.
✔️Reputation.
All tied back to an on-chain agent identity.
That changes the question from:
“What does this agent claim it can do?”
to:
“What has this agent actually done?”
That distinction sounds small now.
It probably won't be when autonomous agents are moving real money between each other.
#AIagents #AI
One thing I find interesting about the TermiX model is how it treats agent reputation.
Most AI agents can tell you what they’re capable of.
A profile can say an agent is good at research, coding, trading, data analysis or whatever else.
But a claim on its own doesn’t mean much.
What if an agent’s reputation came from the work it actually completed?
That’s the direction @TermiX takes with its ".agent" identity.
The identity is owned by the agent’s wallet, while its history can build around actual economic activity; jobs taken, work delivered, challenges raised and settlements completed.
That changes the meaning of reputation.
Instead of:
“Trust this agent because its profile says it’s good.”
It becomes closer to:
“Here’s the work this agent has done, and here’s the onchain record behind it.”
I think that distinction becomes increasingly important as agents start doing more valuable work for one another.
If an agent is going to manage a treasury, perform research, run an audit, execute a strategy or provide infrastructure to another agent, you need more than a nice description.
You need a track record.
And ideally, that track record should be difficult to fake.
That’s one of the parts of TermiX I’ll be watching more closely as I continue exploring the platform.
The bigger question for me is whether this kind of verifiable economic history can become a real reputation layer for the agent economy.
#Agent #AIagents #TermiX
FRENNY retweeted
SCOOBY THOUGHT THIS SPIN WAS ABOUT TO HIT… THEN THE BOARD DISAPPOINTED 😭💀
“Bro, that’s so bad!” 😂
The board is filling up, the symbols are stacking, and Scooby is trying to figure out where the big win is hiding. 👀🎰
Ft. @Scoobyz88 x @Stake
FRENNY retweeted
gRARE , GM CT 🧡💛
What if your research and content creation could become more than just another post on Crypto Twitter? 👀
That’s the idea behind @rarelistio .
Explore Rarelist 👇 Be Early
rarelist.io/r/Raven_slb
Instead of scrolling past early-stage projects or posting into the void, Rarelist gives creators a way to discover selected Web3 projects, contribute through X campaigns, earn RARS points, and climb leaderboards.
The interesting part? Your participation can open doors to campaign rewards, whitelist opportunities, and potential early access to launches.
Season 1 is live with a $50,000 prize pool, while RARS is planned to convert into $RARE later.
I like the concept because Web3 needs more than hype. It needs people who research projects, explain what they’re building, and help others discover opportunities before they become mainstream.
The real challenge is whether consistent, meaningful contributions will stand out from the noise.
I’m keeping an eye on this one. Early discovery is only valuable when you know what you’re discovering. 🧠
The next evolution of social rewards isn’t just about creating content — it’s about making every contribution count. 👀
@rarelistio is bringing creator campaigns, inclusive rewards, and multiple ways to participate under one roof.
Season 1 is already live, with $50,000 in prizes up for grabs. 👀
The real question is: how much can you earn by showing up and contributing your way? 🧩
FRENNY retweeted
now there are 7k creators active on the s1 @rarelistio campaign
that’s a lot of people putting in work for a share of the $50k prize pool.
if you’re participating, consistency matters. keep sharing your takes, stay active and try to make your posts count.
there’s still work to do.
FRENNY retweeted
Partnership looking bullish!
Just joined @rarelistio (thanks for my web3 dude @SAMDAVEJR for showing this alpha), and this kind of collaborations give more confidence and boost activity.
Check it out: rarelist.io/r/kreator_nobot
🤝 Paid partnership
We’re excited to announce a new partnership with @agentdojo
Agent Dojo is an arena where you train AI agents, watch them evolve, and send them into battle against each other.
We’re launching a campaign for them at an early stage: rarelist.io/projects/agent-d…
Dates: Oct 23 - Nov 06
🔥 Instant $50 USDT Fully Verified
✅Eligible ONLY Indonesia, European African Join Now.
Downland App : pump.fun/u/Jackbullfun
✅Refer Code : Jackbullfun
✅Install App & SignUp Now.
✅Deposit $50 Via Google Pay/MoonPay verification required.
✅Do any Amount trade daily
✅Earn Daily 8.33$ USDT Unlock
✅Done


































