Crypto builder & content creator · Videos on X · Building in public https://nitter.gq/t.co/K6g8iHdyZn
Joined August 2023
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- Followers13.8K
- Likes87.1K
Sarwar🍌 retweeted
GM GN CT
Starknet’s biggest post-quantum advantage may be surprisingly simple: an account can change how it verifies signatures without changing its address.
That’s a very different migration problem.
@Starknet accounts are programmable contracts, so the signature logic lives inside the account rather than being hardwired into the protocol.
That means an account can move from ECDSA toward a post-quantum scheme like Falcon-512 while keeping the same address, balances and history.
And this isn’t just theoretical.
A recent Sepolia experiment migrated 11 active wallet classes to hybrid ECDSA + Falcon-512 signatures while keeping the same addresses and funds.
The next problem is cost.
Falcon-512 verification started at 48.4M gas in Starknet’s benchmark. The current record is 24.1M - roughly a 50% reduction.
So the interesting question isn’t only “can Starknet become post-quantum?”
It’s whether the network can make that security cheap enough, flexible enough and practical enough for real users.
There’s still an Ethereum dependency for settlement, data availability and bridging, which is why Starknet is now researching an independent post-quantum L1. 93.52% of voting power backed that research, but no L1 transition has been approved.
That’s what makes Starknet’s approach interesting to me:
don’t bet everything on one cryptographic scheme lasting forever.
Build the ability to replace it.
quantum.starkware.co/
Sarwar🍌 retweeted
AI agents are about to do real work onchain: use APIs, move funds, make decisions, and talk to other agents.
@primus_labs is built for the trust problem that creates. An agent is only useful if you can check what it saw and what it did, without handing it your private data to do it.
With Primus, an agent can prove data came from a real web or API source, and share only what another agent needs to act on, while the private details behind it stay hidden. Agents can work together on sensitive information, without exposing it to each other.
That is what makes an agent network usable: independent agents, verifiable actions, private data.
Sarwar🍌 retweeted
Most ZK chains start with the EVM and try to make zero-knowledge fit around it. @0xMiden did the opposite.
The Miden VM was built for STARKs first. It is a stack-based, Turing-complete virtual machine with a custom instruction set, designed so execution can be expressed in a form STARKs can prove efficiently. It is not an EVM with privacy added on top.
That design choice changes what a developer can actually write. For every program run on the Miden VM, a STARK proof of correct execution is generated automatically. You do not hand-roll the cryptography to prove it happened. The VM does that part.
And you do not have to learn a new language to use it. Developers write in Rust - a language most builders already know - and compile it to Miden Assembly. The VM itself is written in Rust and open source, which matters when the thing executing your logic is supposed to be verifiable.
It also supports nondeterministic programming. A prover can supply secret inputs and execution hints, so complex computation can happen off-circuit and still be verified efficiently inside the VM. That is how logic that would be too expensive or too exposed elsewhere becomes practical to build.
This is why the VM matters more than the marketing around it. A chain is only as expressive as the machine underneath it. If that machine was designed for proofs from day one, developers stop fighting the VM and start building the applications that were not possible before.
Sarwar🍌 retweeted
Most AI agent metrics can be inflated.
Agent counts: inflated by registration
Follower counts: can be bought
Capital: can be parked
Volume: can be recycled
None of those, on their own, prove that anyone actually needed the work.
@termix_ai is No.1 among AI agent protocols on BNB Chain by protocol revenue 7-day and 30-day, per DeFiLlama.
TVL:
measures what is locked. It can sit idle. It shows what is parked, not what is used.
Volume:
measures what passes through. It can be repeated, routed, and double-counted. It shows throughput, not what the protocol actually earns.
Protocol revenue:
measures what the protocol earns from activity. It is harder to inflate, because in TermiX's case it only moves when an agent is actually hired, delivers, and settles. No completed work, no revenue.
7 days: shows recent momentum
30 days: shows it was not a single-day spike
Together, they point to sustained demand - not one campaign, one launch, or one viral post.
The question changes:
From: how many agents are listed, or how impressive a demo looks?
To: are agents doing commercial work that someone is willing to pay for, and is that work actually completed?
A ranking is a snapshot. It can change, and DeFiLlama's category and methodology define what is being compared.
But as a signal, revenue is the closest public measure we have to real usage: demand on one side, delivery on the other, and payment only when the work is done.
Most AI agent charts measure hype. This one measures work.
Sarwar🍌 retweeted
When thinking about blockchain security, focusing only on today's risks isn't enough.
We also need to consider the challenges that future technological advancements may bring.
Quantum computing is one of those potential challenges.
With this in mind, @Starknet is taking a long-term approach to security.
By combining STARK-based proving with cryptographic agility,
Starknet is exploring ways to build a security system that can adapt to new requirements as technology evolves.
The goal isn't just to maintain security today, but also to make it possible to upgrade and strengthen that security when future challenges arise.
Explore Starknet's quantum security research: quantum.starkware.co
Sarwar🍌 retweeted
GM GN CT
Proof of Reserves gets more interesting when you don’t have to expose the reserves.
That’s the direction I’m watching with @primus_labs.
Their PoR stack combines zkTLS with verifiable computation to pull authenticated offchain data, verify reserves, and selectively disclose the result without exposing sensitive account-level data.
And the infrastructure is still moving.
Primus recently updated its zkTLS core SDK and browser extension, while its PoR clients and demo are also being actively developed.
To me, this is where privacy + verification starts becoming practical infrastructure for institutions.
Not “hide everything.”
Prove what matters, keep the rest private.
s.kaito.ai/xsEXRhO
Sarwar🍌 retweeted
imagine you're flying from Dubai to London
your bag has empty space
someone needs a package delivered there
that unused space is the idea behind @MovitOn_P2P
a p2p delivery marketplace connecting senders with travelers already heading the same way
existing routes become potential delivery routes
but strangers carrying valuable packages need trust
that's why moviton is building:
» ai matching
» live gps tracking
» smart contract escrow
currently in beta on testnet
$MVON is designed to power the ecosystem through:
» delivery payments and discounts
» escrow and security deposits
» staking and loyalty rewards
» premium features
the vision goes beyond delivery
accommodation, rentals, local services and future smart handovers through movitbox
glocalzone adds an existing web2 marketplace to the picture
as more travelers join and deliveries scale, real-world activity could drive $MVON utility
turning everyday travel into a delivery network
that's the bigger idea
🤝 Paid partnership
Sarwar🍌 retweeted
AI agents are becoming more than just tools for answering questions they could become service providers that actually get work done
thats the idea behind @termix_ai and agent.family/r/XFVKEBJ9
TermiX is building an open marketplace where people can create AI agents, give them specific skills, and let them participate in a real digital economy
Heres how it works
- Create an Agent: you can get started with a compatible agent like OpenClaw and connect it to TermiX using its official skill package
- Give it an Identity Each agent can have its own agent identity and wallet
- Offer Services Your agent can provide coding, research, smart contract audits, content creation and other services
- Find Real Jobs: Agents can receive requests submit quotes and complete tasks through the marketplace
- Get Paid On-chain escrow helps secure payments between clients and service providers
Another interesting part is that agents can hire other agents when they need skills they dont have
the bigger vision is simple
Humans create and manage agents. Agents handle tasks, collaborate with each other and build their own reputation through completed work
i think this is an interesting direction for AI because the goal isnt just to make agents smarter but to make them useful in a real economy
thats what makes termix ai worth watching
Sarwar🍌 retweeted
Just because data exists on a blockchain it doesn't automatically make it true.
The real question is, where does this data come from, and how can its authenticity be verified?
For instance consider an app that uses your financial information.
That app needs a way to ensure the data is genuine remains untampered with and originates from a trusted source.
This is where @primus_labs comes in.
Its zkTLS technology helps verify data coming from web services
while verifiable computation allows for the validation of the results of any calculations.
The next phase of Web3 goes beyond simply building new apps or accelerating transactions.
It is even more critical to ensure that the data these apps rely on is verifiable.
This is a vital component in building a trustworthy on-chain ecosystem.
Join us: s.kaito.ai/Asgrlte
Sarwar🍌 retweeted
Prediction markets are moving on chain but the experience is still mostly desktop
@bagel_win is the mobile layer sitting on top of Polymarket
Same markets same liquidity same depth just built for your phone
Whats actually live right now
- Personalized For You feed + live sports, esports crypto and trending events
- One-tap copy trading (follow top predictors, get alerts, copy positions instantly)
- Market, Limit and Combo orders
- AI insights as a quick second read
- In-app chat and groups around matches
- Active campaigns with real prize pools (NBA LoL Worlds, crypto 5-min/15-min up/down with Polymarket content campaigns on Kaito etc.)
- Rewards Center tracking copy fees, referrals and event prizes
- Non-custodial (Privy social login), settles in USDC
- You keep Polymarket holding rewards, taker rebates and future airdrop eligibility
- Available in 150+ countries, Asia-first experience (many places dont need a VPN)
How people are making money on it
1- Direct trading profits on sports, esports, crypto and event markets
2- 10% of the fee when someone copies your position
3- Climbing campaign leaderboards for USDT prize pools
4- Referral rewards
5- Content creation campaigns (posting about Bagel on X for prize pools)
6- Keeping Polymarkets existing reward structure potential future airdrop
its still early the team (led by Chessxyz) has been clear this is the first step a simple consumer app on Polymarket rails with a social layer on top
theyre already upgrading to Polymarket Protocol V2 in the background and shipping frequent updates
if youve ever wanted to trade a match or a crypto event from your phone without fighting a desktop interface, this is one of the cleaner attempts at that right now
Download - bagel.win/?ref=FSV62D
Sarwar🍌 retweeted
BNB Chain is pushing AI agent adoption through its Set and Earn campaign, and agent family made the shortlist.
the interesting part? you can already hire agents for real tasks:
→ smart contract audits
→ content creation and research
→ reverse engineering
→ 3D work
payments are escrowed on BNB Chain and released once you accept the completed work.
tasks close November 5.
beyond the AI narrative, there’s an actual marketplace with services people can use today.
if you’re building with AI agents or looking to put them to work, worth exploring.
@termix_ai
Sarwar🍌 retweeted
GM GN CT
The real question isn’t whether quantum computing will change crypto.
It’s whether your blockchain can change before it has to.
That’s what makes @Starknet’s cryptographic agility worth watching.
Its STARK proving system is hash-based, while programmable accounts can adopt new signature methods without requiring a network-wide upgrade.
And there’s already evidence, not just theory.
A Falcon-512 account has successfully made a Starknet mainnet transaction, and v0.14.3 introduced BLAKE2s-256 for OS program and configuration hashes.
But Starknet is not claiming to be fully post-quantum.
Contract migration still needs work, and as an Ethereum L2, Starknet still depends on Ethereum for parts of its wider security architecture, including bridge and data availability.
That’s why the October 22 governance vote matters.
93.52% of voting power supported researching an independent post-quantum Starknet L1.
Not an L1 launch.
Not a final decision.
A mandate to research the technical path, trade-offs and what greater control over security upgrades could actually look like.
And that’s the bigger thesis:
You can’t predict which cryptographic assumption gets broken first.
You can build a system that is easier to upgrade when it does.
That’s cryptographic agility.
quantum.starkware.co/
Sarwar🍌 retweeted
Been following @primus_labs since the PADO days
What started as zkTLS research has quietly evolved into infrastructure for institutional onchain finance.
the progression is clear
2023 - Early verification tools & research
2024 - USENIX paper rebrand to Primus
2025 - Developer stack AlphaNet & real integrations
2026 - Live Proof of Reserves + Confidential Vault on BNB Chain
the interesting part isnt the number of milestones its the direction
most people still treat privacy and transparency as opposites
Serious capital and AI agents need both at the same time
Primus is building exactly that layer
they combine two things
- zkTLS prove data from any website or API is real without revealing it
- FHE compute on encrypted balances, positions & strategies so nothing has to be public
Already live with real products
- Cryptographic Proof of Reserves for stablecoins & RWA projects
- Confidential Vault on BNB Chain convert a stablecoin to its encrypted version transfer privately and earn yield without broadcasting position size
Backed by VanEck, Dispersion Capital, Symbolic Capital ($6.5M seed), and more recently YZi Labs + EASY Residency
Public chains give transparency by default institutions usually dont want that
Primus is one of the few teams treating verifiable privacy as basic infrastructure instead of a tradeoff
s.kaito.ai/vDulNdc
Sarwar🍌 retweeted
you wouldn't announce your bank balance in a crowded market
so why should a company reveal its entire financial position onchain just to prove it's trustworthy?
this is where trust gets complicated
reveal too much, and competitors gain insight into your positions and strategy
reveal too little, and others have no reliable way to verify your claims
for institutions, trust shouldn't have to come at the cost of privacy
@primus_labs approaches this problem with a simple principle
think of a sealed envelope
you can verify who sent it and check whether its contents meet certain conditions without making the entire letter public
primus brings a similar idea to financial data through different layers of technology
zkTLS verifies the source
it helps prove that data came from a legitimate web source, such as a bank or exchange, without requiring the underlying information to be published onchain
zkFHE enables computation on encrypted data
instead of exposing sensitive inputs during processing, computations can run while the data remains encrypted
the result can provide useful proof without revealing every underlying detail
put these pieces together, and the possibilities become interesting
a platform could demonstrate that its reserves meet a required threshold without broadcasting every wallet and balance to the market
a borrower could prove they meet certain financial requirements without exposing their entire financial history
the goal isn't to make financial activity impossible to inspect
it's to make verification possible without unnecessary exposure
because privacy and secrecy are not the same thing
secrecy prevents others from checking your claims
privacy lets them verify what matters without seeing everything else
that distinction could make a real difference for institutions considering onchain finance
they need transparency where trust requires it and confidentiality where business demands it
if you want to feel how that verification works, not just read about it, the XP tasks walk you through it:
s.kaito.ai/HdOuqEr
Sarwar🍌 retweeted
When you verify information from the internet, there's a bigger question most people overlook:
'who is actually doing the verification?'
This is where the attestor layer in @primus_labs becomes interesting.
Primus uses attestors to help verify offchain data and turn that information into proofs that can be used by onchain applications.
The flow is basically:
→ data exists on the web
→ an attestor obtains and verifies the data
→ cryptographic proofs are generated
→ applications can verify the claim without needing the raw information
The important part is that the goal isn't simply moving web data onchain.
It's creating a way for onchain applications to trust information without exposing everything behind it.
And that's especially useful when the underlying data is sensitive:
> financial information
> account activity
> credentials
> real-world data
All can be valuable for onchain applications but blindly exposing the source data isn't a good solution.
That's why the attestor layer matters.
zkTLS helps establish that the data comes from an authentic source while Primus can turn that verified information into something applications can actually use.
To me, this is one of the less talked-about parts of the Primus architecture.
Privacy gets the attention.
But reliable verification is what makes private data useful.
Explore Primus 👇
s.kaito.ai/JsdqILF
Sarwar🍌 retweeted
The data that matters most still sits behind closed systems.
@primus_labs is going after this with zkTLS + FHE.
zkTLS brings trusted Web2 data into verifiable systems.
FHE computes on encrypted data without exposing it.
What that unlocks:
→ Proof of Reserves without revealing sensitive details
→ Private transfers and encrypted compute onchain
→ Verifiable credit through AlphaNet
→ AI agents with cryptographically proven execution records
Usable verifiable and still private.
why Primus is on my radar.
s.kaito.ai/UKzBVtp
