Batman retweeted
$50,000 max win on Spinman 🤯 when @N3onReload is on Jack.com it’s always a boom 💥
Batman retweeted
Watch the tumbles stack up on this one 🍭 $25,000 made on Jack.com by @N3onReload
Batman retweeted
A max win on Doghouse Megaways, clean one from @N3onReload on Jack.com
Batman retweeted
That moment the multiplier lands and the whole room goes quiet 👀 @N3onReload is always cooking on Jack.com
Batman retweeted
Primus Labs is building privacy tools so institutions can use blockchains without exposing data.
Most people are still treating privacy and transparency as complete opposites, but in reality serious capital and AI agents are needing both of them at the exact same time.
@primus_labs is quietly building the layer that is making this possible right now.
They are combining two things that work together.
zkTLS is letting you prove that data from any website or API is real and genuine without ever revealing the actual data itself.
FHE is letting you run computations on encrypted data so balances, positions and strategies are never having to become public.
Right now they are already living with real products, not just staying in research.
They are running cryptographic Proof of Reserves for stablecoins and RWA projects, and they launched Confidential Vault on BNB Chain.
Users are turning a stablecoin into an encrypted version, transferring it privately and still earning yield without broadcasting their position size to the whole market.
On the funding side they raised $6.5M in a pre seed & seed round in February 2025 that was led by Dispersion Capital, Symbolic Capital and VanEck.
In August 2026 they also received investment from YZi Labs formerly Binance Labs and joined the EASY Residency program.
Partners so far are including Brevis, Kaito AI, Unitas Labs, Cluster Protocol and several others.
Public chains are giving transparency by default, and institutions are usually not wanting that. Primus is one of the few teams that is treating privacy plus verifiable proof as basic infrastructure instead of treating it as a tradeoff.
It is an interesting project if you are watching the privacy and institutional onchain finance angle.
Stay in the loop
Batman retweeted
Hello my friends.
@ama_protocol publishes hardware-signed TEE attestations so anyone can verify in the browser that a key broker or agent deployment really booted inside AMD SEV-SNP and matches the expected code measurement. Every run is bound to the exact agent version that produced it, which means you can replay the behavior and also name which agent version was responsible. Validator replicas keep one identity alive across regions so production continues even if a whole cloud zone drops, and the chain uses sorted Merkle proofs plus BLS signatures with a half-second target block time. WASM contracts give agents persistent on-chain memory without forcing the logic off-chain.
@quipnetwork ’s QVM routes the same constraint program across annealers, gate-based systems and classical machines, then applies a three-tier check that cross-validates the quantum result against classical simulation, independent benchmarks and a hardware attestation. Quip Accounts sit as ERC-4337 smart accounts on existing chains and require a hybrid signature (original curve plus SHRINCS) before funds can move, so the post-quantum layer is strictly additive. The network’s useful-work layer turns real optimization jobs into the work that secures the chain instead of empty hashes.
(📷According to X rules, a paid partnership has been selected. It is not investment advice or a paid partnership.)
🤝 Paid partnership
Hey team, the Interlock piece on Quip’s asset layer feels a bit different.
@quipnetwork’s docs describe two parties doing atomic swaps on the same chain or across chains with no bridge and no oracle.
Coordination runs through a shared hash secret, and the secret itself is only revealed at claim time.
Each side commits its assets to the settlement contract on its own chain, which starts the deadlines.
When one party claims, the secret is revealed so the other can take its side; if neither acts, both can reclaim their own assets after the deadline.
I am reading this as a bridge-free atomic swap design.
(📷According to X rules, a paid partnership has been selected. It is not investment advice or a paid partnership.)
Batman retweeted
The best time to plant a tree was 20 years ago
The second best time is now
Start where you are
🤖 Made with AI
Batman retweeted
Would you climb a cliff just to collect honey? 😳🍯
In Nepal, traditional honey hunters scale towering cliffs to harvest wild mad honey. This extraordinary tradition is something you have to see to believe!
Could you handle this challenge?
#madhoney #honeyhunters #nepal #cliffhoney #himalayanhoney
$50,000 max win on Spinman 🤯 when @N3onReload is on Jack.com it’s always a boom 💥
Batman retweeted
One thing I’ve noticed about trading is that it’s easy to focus on your next entry and forget to check the positions you already have open.
That’s one reason I started looking into @talistrade an AI copilot built to help with trading.
One feature that caught my attention is the open-position check-in, where you can ask it to review your current risk and identify trades that don’t have a stop loss.
I like this because checking several positions manually can get tiring, especially when you’re trying to keep track of everything at once.
Having Talis help you spot what you might have missed gives you another way to review your positions before making your next move.
Another thing I like is that you can ask questions in plain English instead of trying to figure everything out on your own.
It gives you a second opinion while keeping you in control of what happens next. Of course, you still need to understand the risks because having an AI copilot doesn’t mean every trading decision will be right.
Sometimes, managing what you already have matters just as much as finding your next trade.
Batman retweeted
@N3onReload just turned a Dog House Megaways spin into a max win on Jack.com and I’m still processing 😭
Batman retweeted
I want to make you all a little hotter in this afternoon heat Are you ready to turn up the heat
I ask one big question about every AI agent project I come across
Does the agent actually get better over time or simply get louder
@agentdojo is the first in a good while to give me a clear answer
Every agent carries its own personality fighting style and memory
It steps into a turn based arena and faces other agents in a duel
Then it carries what it learned into the next round of its career
So progress is something you can actually watch play out onscreen
That feels a lot closer to raising something than to using a tool
What I enjoy is how much tiny training choices stack up over time
One slightly different habit can become a truly different fighter
Add the pixel art look and it gets easy to care about the results
Few agent projects make the learning process this clear to follow
The early creator campaign on @rarelistio runs Oct 23 till Nov 06
with a 1500 USDT prize pool for creators who want to get involved
I will be following which fighter style rises first on @agentdojo
and how much its memories really change the way a match plays out
Batman retweeted
A new day, a new perspective on onchain markets.
Some projects are worth watching beyond the hype. ZeruAI is one of them.
The future of onchain markets won’t depend on activity alone. It will depend on how that activity is verified, understood, and trusted.
That’s what makes @ZeruFinance interesting to follow. Its focus on activity markets and trust oracles addresses challenges that could become increasingly important as the onchain ecosystem evolves.
With @Ashutosh_Sahoo joining @TheTieIO’s The Bridge in NYC, these conversations are becoming even more relevant.
I’ve been following ZeruAI for a while, and I’m interested in seeing how the project turns its vision into infrastructure that brings real value to onchain markets.
More activity is one thing. Building markets people can actually trust is another.
Batman retweeted
I think people sometimes confuse transparency with making everything visible.
They aren't the same thing.
A financial institution may want transactions to settle on public infrastructure while keeping its positions, balances and strategies confidential.
That's a much harder problem.
@primus_labs is approaching it from two sides:
✅️ zkTLS for proving that off-chain information is authentic.
✅️ FHE for computing on sensitive information while keeping it encrypted.
That combination is interesting because it doesn't require choosing between:
“trust the data”
or
“protect the data.”
The goal becomes:
verify it, use it, and reveal as little as necessary.
That feels much closer to what institutional on-chain finance actually needs.
Be part of it here;
s.kaito.ai/EhhSL0u
Say you have $100K on-chain.
You want to transfer it, earn yield, or use it in a financial strategy.
Why should everyone watching the blockchain know exactly how much you moved?
That’s the problem @primus_labs is approaching with FHE.
Instead of decrypting sensitive values every time the system needs to work with them, computation can happen while the data remains encrypted.
So the asset can remain useful without making every underlying amount public.
And this is where I think privacy infrastructure gets more interesting:
privacy shouldn't mean taking your assets out of the financial system.
It should mean having more control over what the system can see.
That feels much closer to what institutional on-chain finance actually needs.
That moment the multiplier lands and the whole room goes quiet 👀 @N3onReload is always cooking on Jack.com
A max win on Doghouse Megaways, clean one from @N3onReload on Jack.com
Watch the tumbles stack up on this one 🍭 $25,000 made on Jack.com by @N3onReload