web3 content creation/ stay active
Bangladesh
Joined June 2024
- Tweets59.1K
- Following2.7K
- Followers3.5K
- Likes86K
Pinned Tweet
If i am holding btc for the long term, i had naturally ask, can i actually do more with it without selling it?
That is what caught my attention about strkbtc.
I can bring btc from my own wallet into starknet and use it across defi for lending, borrowing, trading, or earning.
And if i want more control over what is visible, shielding is available through supported wallet.
So i can keep my btc exposure while still exploring what i can do with it onchain.
That is the part of strkbtc i find interesting @Starknet
cryptohunter retweeted
DeFi has made earning yield accessible.
But there’s a trade-off people rarely talk about: your financial activity can become a public record anyone can inspect.
Your balance, your transfers, your moves. Sometimes more information than you intended to share.
@Primus_labs is approaching this problem from a different direction with its Confidential Vault on BNB Chain.
Using fully homomorphic encryption, it aims to let users transfer assets and access yield strategies while keeping sensitive balances and transaction amounts encrypted.
That’s a meaningful idea: you shouldn’t have to broadcast your financial life just to put your assets to work.
Privacy shouldn’t mean leaving DeFi behind.
s.kaito.ai/F36CZEc
AI agents are getting better at doing things.
But there’s a bigger question:
How do we know what an agent actually did?
An agent can make a trade, access an account, execute a strategy or interact with a Web2 service.
The problem is proving that activity happened exactly as claimed.
That’s where @primus_labs gets interesting.
Primus is building infrastructure for verifying offchain data and agent activity with cryptographic proofs instead of simply asking users to trust the application.
The next generation of AI agents won’t just need autonomy.
They’ll need receipts.
And those receipts need to be verifiable.
s.kaito.ai/F36CZEc
cryptohunter retweeted
What happens to price discovery when a newly launched token can trade against tokenized financial assets?
That’s one reason I’d love to see @ponsdotfamily featured in the next Rally campaign on Robinhood Chain.
Pons caught my attention because it goes beyond being another launchpad.
It connects token launches with trading against supported assets including tokenized stocks.
And that raises some interesting questions around how these tokens actually find their market.
What are the quote assets?
Where does the liquidity come from?
How do the pairs work?
And how different is this from the usual ETH or stablecoin-based launch model?
That’s the kind of Rally campaign I’d actually stop scrolling for.
🤝 Paid partnership
RALLY IS LIVE ON ROBINHOOD CHAIN 🚨
Robinhood built an AI-native chain, so we brought the AI-native attention layer to it.
Starting today, any project on @RobinhoodCrypto can fund a Rally campaign with its own token and put 150K+ creators to work on its story.
Welcome 💚
cryptohunter retweeted
i started web3 in june 2025.
3 weeks later, i made my first $1k from multibank.
to get 5 figs now come be like where them dey break rock. 🥹😂
hopefully, i get there soon, God willing. 🩵
I started web3 in 2022, December 12.
I made my first $1k+ in 2025, Succinct. During info fi.
Made my first 5 figs in 2026, yt. lmao
Everyone’s journey is dead ass different… some people’s win comes quick, some like mine comes slow asf and in a tough way.
cryptohunter retweeted
Imagine an AI research agent that needs fresh market data.
Instead of waiting for a human to find a provider, it discovers another agent offering data collection, evaluates the service, and hires it.
That second agent might then hire a third agent to clean or analyze the data.
Suddenly, we’re not just talking about AI assistants answering prompts.
We’re talking about an economy where agents can become both service providers and customers.
But here’s the infrastructure problem:
How does one agent know what another agent offers?
How are prices and job requirements agreed upon?
How can delivery be verified before payment is released?
And what happens when the work doesn’t meet expectations?
This is the kind of coordination AACP is designed to support.
Through @termix_ai and agent.family, agents can participate in a marketplace built around service discovery, job posting, bidding, delivery verification, reputation, and settlement.
The bigger implication is worth thinking about:
An agent may not need to perform every task itself.
It could specialize in one capability, purchase other services when needed, and build a track record through completed work.
The future of AI may not be one super-agent doing everything. It may be networks of specialized agents creating value for one another.
And for that economy to function, agents need more than intelligence.
They need commerce infrastructure.
#TermiX #AACP
An AI agent can claim it’s a world-class developer.
Another can promise perfect research, flawless audits, and instant delivery.
But in an economy where agents hire agents, who verifies those claims?
This is why I find the identity layer of @termix_ai particularly interesting.
Think about your professional CV.
It tells people what you claim you can do.
Now imagine a CV where your completed work, settlements, and disputes can be independently verified.
That’s the idea behind TermiX’s onchain agent identity.
A .agent identity is wallet-owned, and its history can record:
→ Jobs an agent accepted
→ Work it delivered
→ Challenges raised against its deliveries
→ Settled transactions
→ Reputation derived from marketplace activity
The interesting part is that reputation isn’t just a decorative badge.
It connects to actual marketplace activity and settled, challengeable jobs.
For clients, this creates another way to evaluate providers beyond their marketing claims.
For developers, it creates a foundation for building agents that can establish a track record instead of starting every commercial interaction from zero.
And for the wider AI economy?
It raises a fascinating possibility:
An agent’s professional history could become as important as its capabilities.
Because intelligence might get an agent noticed.
But verifiable work is what gives others a reason to trust it.
That’s the difference between an AI directory and an economy where agents can build reputations through actual work.
@termix_ai
cryptohunter retweeted
gm
“private” and “anonymous” aren't the same thing in crypto.
this distinction is important when looking at @Americanfort_io
AmericanFortress isn't trying to make the sender and recipient invisible to each other.
with its privacy design, the goal is to reduce what outside observers can learn about a payment, while the relevant parties can still maintain accountability.
that's also why the guide specifically says not to describe AmericanFortress as “anonymous” or “untraceable.”
the upcoming SafeSend™ design takes this further through:
zero-knowledge proofs + selective disclosure + proof of source of funds
so the model isn't:
“nobody can know anything.”
it's closer to:
“not everyone needs to know everything.”
and that's a much more interesting way to think about privacy infrastructure.
SafeSend™ is still in development, so I'm talking about the design, not a live feature.
cryptohunter retweeted
When I think about Physical AI, the biggest problem for me is data.
AI can learn a lot from text, pictures, or video. But just showing a robot something is not enouh. It has to learn how to move its hands, how to hold a thing, and how to work in different situations.
To teach this, we need a lot of real world interaction data.
This is where @axisrobotics idea looks interesting.
With browser-based tasks, people can make different robot actions or paths. Later, those can be checked and turned into data that can be used for training.
I think that in Physical AI, only making a better model is not enough. Making good data to teach the robot is just as important.
join, follow the rules:
Start here- s.kaito.ai/CYMEPE
- Install kaito pulse
- Use your yaps and to claim your starting Aura.
- verify your creator or trading activity
Joining the axisrobotics campaign :
Link- s.kaito.ai/TXq81dI
🤖 Made with AI
cryptohunter retweeted
Good morning
The latest @PlayOnMint update adds another layer to the reward ecosystem
You can now earn through the Daily $MNTD Drip, alongside existing rewards like rakeback, lossback, jackpots, raffles, and airdrop eligibility.
There’s also an interesting connection
MintABear holders will receive a $MNTD airdrop, which can then be used to activate and level up the NFT
That turns the loop into:
Play → Earn $MNTD → Level your Bear → Boost reward potential → Keep participating
@NucleusCodes
🤝 Paid partnership · 🤖 Made with AI
cryptohunter retweeted
Good morning..
Before making another trade, there’s one thing I’d check first if you’ve been trading onchain:
What does your existing wallet history already have on @zerufinance ?
Zaps is built to recognize qualifying trading activity through your connected wallets and give you a starting Zaps balance.
The process is pretty straightforward:
1. Open Zaps
2. Sign in
3. Connect the trading wallet you already use
4. Check your starting Zaps balance
5. Explore your Clan options and available activity
The important part is that you don’t need to start by making a completely new trade just to see where you stand.
Your previous qualifying activity may already be reflected in your balance.
Zaps are intended to count toward a future Zeru airdrop, while qualifying activity can continue contributing over time. The final airdrop allocation and eligibility will follow Zeru’s announced rules, so a current balance shouldn’t be treated as a guaranteed payout.
If you’ve been active onchain, checking takes a few moments.
Connect the wallet you actually trade with and see what ZeruAI recognizes from your history.
#ZERUAI #AI #Web3
🤝 Paid partnership · 🤖 Made with AI
cryptohunter retweeted
Happy Friday Fam 🌼🫡
Physical AI needs more than information pulled from the web.
Robots need up-to-date views of streets, buildings, stores, and everything happening at ground level.
@vangrid_io puts smartphones to work as distributed sensors, turning real-world captures into 3D data with verifiable onchain provenance.
real places → real captures → data robots can actually use.
cryptohunter retweeted
What caught my attention about @agenticscredit is that they’re looking at actual trading history instead of asking users to prove themselves with forms or screenshots.
They scanned every trade ever placed on Polymarket, and 500,000 wallets have already cleared the qualifying bar.
I like the idea because onchain activity already creates a track record. If that history is long enough and clean enough to underwrite, why make users go through another manual process?
No forms. No stake. No PnL screenshots.
Just your wallet history.
I’m curious to see where this model goes.
Check yours → agentics.credit
cryptohunter retweeted
Rally just landed on Robinhood Chain.
Projects can now run campaigns in their own token. And the creator's follower count isn't the thing being judged.
My pick is not the loudest ticker.
It's @longdotxyz .
A token paired against NVDA is not the same thing as a token paired against ETH.
The floor is a stock.
The ticker is a meme.
Most people will trade it before they notice the difference.
That's exactly why I want to see a Rally campaign here.
Make creators explain the pairing, not post another “bullish.”
Long is my pick. Who are you putting forward?
RALLY IS LIVE ON ROBINHOOD CHAIN 🚨
Robinhood built an AI-native chain, so we brought the AI-native attention layer to it.
Starting today, any project on @RobinhoodCrypto can fund a Rally campaign with its own token and put 150K+ creators to work on its story.
Welcome 💚
cryptohunter retweeted
gud morning builders
just finished episode 2 of @ptsdshow , “SausageDaddy” and yeah... this one felt a little too real.
it’s only 4 minutes but somehow they packed the whole degen life cycle into it.
get rugged
lose everything
take some deeply humbling jobs
save a bit
tell yourself you’re done with crypto
then somehow... you’re back clicking Buy again.
that ending got me lol.
@ptsdshow is honestly funny because it doesn’t feel that far from reality. anyone who’s been around crypto long enough has probably had at least one “this time will be different” moment.
and then proceeded to do the exact same thing again.
SausageDaddy really called us out.
cryptohunter retweeted
We’ve gotten used to checking the first and last 4 characters of a wallet address before sending.
But that still leaves the copy-paste step vulnerable.
@Americanfort_io takes a different approach with Send-to-Name™.
You send to a FortressName instead of copying a long address. For every payment, your wallet creates a fresh one-time address. Only the sender and recipient can derive it, and only the recipient can spend the funds. The transaction still settles normally on the native blockchain.
Unlike fixed-address naming systems, a FortressName doesn't publicly resolve to one wallet, balance or payment history.
And one name works across 13 integrated networks today.
For me, replacing address checking with a readable name makes the security model much easier to understand.
Claim your free lifetime FortressName: names.americanfortress.io
🤝 Paid partnership
cryptohunter retweeted
happy friday >< gSleep CT 🌅
what stands out to me about @sleepagotchi is the execution strategy?
instead of rushing to launch a dozen consumer AI products at once, Gotchi Labs is starting with something tangible.
sleep and wellness are already being tested through a live product and real user behavior.
from there, the ecosystem can gradually move into areas like:
→shopping and commerce •
→fitness and Exercise •
→productivity and everyday life •
the interesting part is the expansion happens step by step, based on what people actually use rather than assumptions.
as the ecosystem grows, $CHI could become a layer connecting access, rewards and commerce across these experiences.
the bigger idea is simple: →build→listen to users→improve→then expand←
that kind of approach makes consumer AI feel much more sustainable.
cryptohunter retweeted
Most creator campaigns reward whoever posts the most. This one doesn't.
@Axisrobotics lets you submit up to 10 posts per epoch, but only your best 6 count toward Mindshare. Spamming gets you nothing. Your six strongest posts are what matter.
The score has a second half too. Epoch score is Mindshare multiplied by a referral multiplier, which rises when people you invite finish tasks and pass verification. So it's content plus real onboarding, not just noise.
Rewards: 0.25% of the total supply unlocks in full at TGE (the token launch), not per epoch. 0.2% goes to creators, split between ranks 1-100 and 101-500. The other 0.05% goes to KAITO stakers who meet the 5,000 KAITO threshold.
What Axis does: robots need huge amounts of good training data. Axis has people complete browser-based robotics simulation tasks, with rewards based on quality, difficulty, diversity and volume. You do the task, and the data feeds robot AI.
My take: scoring the best 6 instead of all 10 is the fairest rule I've seen on Kaito in a while.
Apply in Kaito Studio if it fits you. Not financial advice, and token rewards aren't guaranteed.
AI Agents With Verifiable Track Records
Onchain identity meets reputation for the agent economy.
AI agents can do the work but how do you know which agent to trust?
@termix_ai combines onchain identity + reputation to give AI agents a verifiable track record of their economic activity.
See what an agent has done, how reliably it delivered, and what services it provides.
cryptohunter retweeted
One detail about the @zerufinance Nucleus campaign actually makes sense to me
Posting more doesn't automatically mean contributing more. Scoring is capped at 1 tweet per day and up to 7 tweets per week. That puts more emphasis on originality, useful information and genuine engagement instead of flooding the timeline.
I'd rather explore a different part of Zaps each day than repeat the same airdrop post again and again. Good campaigns should reward people who actually understand what they're talking about.
Quality contribution > content spam.
New trading competition from @zerufinance × Ditto_Network is now live.
A $50,000 reward pool with 600 paid spots, running from Oct 1 to Oct 29. Trade Hyperliquid perpetuals through Ditto and your verified onchain activity contributes to your Zaps score and leaderboard position.
The full $50K pool unlocks if the campaign reaches $50M in qualified trading volume. If the target isn't reached, the reward pool scales with the qualified volume delivered. You can join for free through Zaps, connect your wallet, deposit at least $5 USDC and start trading.
For anyone already trading perps, this is an interesting campaign to keep an eye on.
🤝 Paid partnership
cryptohunter retweeted
gm ct.
What @vangrid_io just shipped feels like a real step toward agentic physical AI. An agent can now pay a USDC bounty on Base or Arc, request a specific real-world capture, and receive the resulting 3D reconstruction through the API.
The interesting part is how software can now request information from the physical world. An agent creates the demand, the location gets captured, and Vangrid turns that real-world data into something the agent can actually use.
🤝 Paid partnership
cryptohunter retweeted
gud morning builders NFTs
spent some time reading through @0xCyberThrone whitepaper today and honestly, this feels like more than just another NFT collection.
the part that caught my attention is how much they’re building around the NFTs themselves.
holders get IP usage rights, access to digital books and exclusive content, so your NFTs can actually become part of your identity and personal brand.
then there’s the lore. stories like “Trust Ledger” and “Boardroom Protocol” give the whole @0xCyberThrone world a lot more depth.
i also like that they seem to be thinking beyond short-term hype and focusing on things holders can actually use.
the whitelist is open too:
GTD for people who already earned a guaranteed spot, and FCFS for everyone else who gets their submission in first.
the team checks entries manually, so make sure your X handle, follows and Discord are all done correctly.
whitelist.cyberthrone.io
cryptohunter retweeted
Early morning my bros 🥱
1/5
There is something I find more interesting than a points counter.
A wallet can quietly build a reputation before you ever think about having one.
Every swap, perps position, lending interaction, liquidity move, staking action and protocol you use leaves part of that story onchain. ZeruAI turns that longer DeFi history into zScore, while Zaps puts that intelligence into something traders can actually see and use.
That means your starting point is not necessarily zero.
When you connect the wallets you genuinely use, Zaps reads their existing activity and can give you a welcome grant based on your past activity and zScore. You can connect up to 10 wallets, so an old address does not have to remain an isolated chapter of your trading history.
Then there is Trader Score.
It is a separate 0 to 1000 measure that combines verified trading performance, zScore, community standing, contribution and zaps held. Trading carries the most weight, so simply collecting points is not enough to manufacture a strong trader profile.
That distinction is important.
Zaps is not asking you to pretend your wallet history means something. It is making that history easier to measure, compare and build from.
And the system is non custodial. Zaps reads your linked wallet activity but cannot trade or move your funds.
For me, that makes the first step pretty simple.
Look at the reputation your wallets have already built before worrying about what comes next.
@zerufinance
Late night NFT lovers 😴
1/5
There is something oddly satisfying about the idea of making one world taller by letting other worlds give up part of their growth.
I was looking into ACCRETION’s orbit mechanic, and the part that caught my attention was not simply the height competition. It was the trade-off behind it.
Every world has a limited amount of naturally grown height it can contribute. When an NFT orbits a chosen Core, that Core gains height while the contributing world becomes shorter.
So collecting additional NFTs is not just about having a bigger wallet full of assets. It creates another decision: which world becomes the center of your growth, and which ones contribute to it?
That makes the process feel more strategic than simply chasing the tallest number.
A taller Core can strengthen a position on the seasonal leaderboard, but the height already contributed cannot be donated again. There is a real limitation behind the mechanic, which makes planning relevant.
I also like how visible the relationship becomes. You can compare the Core with its shorter donors and actually see the result of that decision.
It is a different way to think about building a collection. Instead of every NFT developing independently, multiple worlds can become connected through one shared objective.
That balance between growth, sacrifice, and competition is what makes this mechanic interesting to me.
The more I look at it, the less it feels like a simple height race and the more it feels like a collection-wide strategy inside ACCRETION.
@mdv_btc
cryptohunter retweeted
Blockchain transparency is powerful.
But imagine every institutional position, counterparty and treasury movement being visible in real time.
That could expose information institutions consider sensitive.
Confidential finance addresses this tension.
@primus_labs is focused on bringing privacy and verification together.
Keep the information that needs protection private.
Keep the claims that matter verifiable.
🤝 Paid partnership
Institutional finance has a different requirement from ordinary onchain activity.
A fund may want to use public infrastructure without exposing its entire strategy.
That creates an important question:
Can financial activity stay confidential while still being verifiable?
That's the privacy × verification problem @primus_labs is working around.
Public doesn't have to mean completely exposed.
