Maya ๐๐ retweeted
Launching a new privacy chain means starting from zero on liquidity, users, integrations and distribution.
@primus_labs took a different route with its Confidential Vault, bringing encrypted finance directly to BNB Chain instead of building an entirely new ecosystem.
I think the deployment choice is just as important as the technology.
BNB Chain already has:
โ Established stablecoin liquidity
โ Lending markets and DEX infrastructure
โ An existing EVM developer ecosystem
โ Users and capital already operating onchain
Primus can introduce confidential financial applications without bootstrapping all that infrastructure.
The Confidential Vault demonstrates the approach:
โ Convert United Stables $U into encrypted $eU
โ Transfer assets without publicly revealing amounts
โ Deposit encrypted assets into supported yield strategies
โ Redeem back into the underlying asset
Primus reported over $1M in encrypted assets staked on day one.
The underlying performance is also notable.
AutoHoG reportedly processes encrypted 64-bit balance transfers in approximately 90ms, reaching 210+ transfers per second using eight RTX 5090 GPUs.
These are computation benchmarks, not blockchain settlement speeds.
Beyond the Vault, Primus could extend this infrastructure into:
โ Confidential treasury operations
โ Institutional settlement
โ Private stablecoin payments
โ Financial applications with selective disclosure
And thatโs where the BNB Chain deployment becomes compelling.
Rather than competing with existing networks for users and liquidity, Primus can bring confidential computation to ecosystems where capital already operates.
Privacy becomes an additional capability of onchain finance, not an entirely separate destination.
s.kaito.ai/NYAo38f
Maya ๐๐ retweeted
I think the market is still underestimating what @injective is building rn.
This latest options upgrade is a good example.
Instead of simply launching another trading platform, Injective is giving developers the infrastructure to build their own derivatives products.
Think about the possibilities.
AI compute, stocks, commodities, and potentially more assets could all have their own options markets onchain.
Every new application could attract different traders, generate trading activity, and create more demand for Injective's infrastructure.
Sharing my thoughts here $INJ fam.
A new era of options infrastructure is coming to Injective.
Just one day after launching the Super Intelligence Compute Index ($SICI), Injective is officially unveiling Injective Options, introducing an entirely new financial primitive for developers, institutions and users.
Now LIVE on testnet.
The initial launch brings fully backed calls and puts across six distinct markets:
โ SICI: The first onchain AI compute index
โ US500: The top 500 US companies
โ US Tech: The top 100 US technology companies
โ Gold, Silver and Oil: Global commodities
Every option is fully collateralized using native Injective USDC, as USDC becomes a canonical standard across more than 20 blockchains.
But these initial markets only represent just a fraction of whatโs possible on $INJ starting now
Developers can leverage the new options infrastructure to build white label exchanges, launch their own derivatives protocols and introduce entirely new financial products without building the underlying infrastructure from scratch.
Institutions can create customized derivatives and hedging products, while users gain access to new markets and the ability to trade or write options directly onchain.
As more applications launch, they can generate entirely new revenue streams for builders while bringing additional trading activity, liquidity and fees to Injective and its broader ecosystem.
Injective isnโt building just another options exchange. Itโs introducing the composable infrastructure for an entire ecosystem of options protocols to thrive and interact with financial primitives across the onchain universe.
And this is only the beginning.
Maya ๐๐ retweeted
๐งต Mochi riding through those golden fields gives me Ghost of Tsushima vibes. The little samurai has a much bigger adventure ahead.
My first gaming adventure was at my neighbors house on the original PlayStation: a simple...
@amirhp771 @GenLayer
The wind whispers through the golden stalks, but vengeance always rides into the storm. ๐พ๐ง๏ธ
I've been obsessed with bringing this universe to life. What happens when you drop Mochiโthe iconic @GenLayer mascotโinto a gritty, feudal realm where quiet meditation carries just as much tension as a drawn katana?
This 47-second sequence captures his full arc: starting in peaceful stillness within the sunlit wheat fields, mounting his steed, riding hard into an encroaching downpour, and holding breath on a misty ridge while scouting a heavily guarded enemy outpost. Every camera drift, fabric flutter, and weather transition was designed to push organic character movement and atmospheric storytelling.
I keep picturing what this universe could look like in the right hands. An atmospheric, parry-heavy stealth action game in the vein of Ghost of Tsushima and Sekiro? Or a grounded, episodic dark-fantasy animated series?
Which studio would you trust to build this, and what kind of combat mechanics would you want to see?
Sound on ๐ | Let me know your thoughts below.
#GenLayer #GameDev #CharacterDesign #ConceptArt
Maya ๐๐ retweeted
my recent highlights:
+770 followers in 3 months
1,046 smart followers
540.3K views in 3 months
7.00% engagement rate in 3 months
cook or nah ?
Maya ๐๐ retweeted
๐ช The RWA narrative is getting more interesting beyond the usual big names.
What stands out to me is the infrastructure being built around tokenized assets, not just the assets themselves.
@3f_xyz is exploring leveraged RWA exposure through Morpho, while @metaplex is working on permissioned token standards that could make institutional adoption easier.
On Solana, @DGLD_Official is bringing gold exposure onchain, and Robinhood Chain is attracting more experiments around tokenized equities and lending.
Still, not every RWA project deserves attention. Audits, liquidity, holder concentration, and actual usage matter more than the narrative.
The next phase of RWAs should be about making tokenized assets genuinely useful across DeFi, not just putting traditional assets onchain.
NFA, DYOR.
Maya ๐๐ retweeted
New-gen privacy builders in a nutshell.
In today's post, let's discuss the three emerging privacy leaders in their own niches:
- @zama: on-chain data encryption
- @primus_labs: blind computer that stores and processes data across a network
- @nillion: private web data computing
Each has a separate path to deal with privacy, but they share a mutual goal of making web3 safer.
This article compares them based on technology, privacy methods, popularity, and core products. NFA.
1. Core tech.
The three builders are using different tech approaches:
- Zama is built on fully homomorphic (FHE) encryption, which allows computation on data that stays encrypted.
An early report put throughput at about 20 transactions per second per chain, with goals of 1,000 TPS in 2026 and more through specialized FHE hardware.
- Nillion combines three techniques: multi-party computation (MPC), FHE, and trusted execution environments (TEEs).
Therefore, products on Nillion are built upon these technologies:
nilDB (storage)
nilVM (blind computation with MPC and homomorphic encryption)
nilCC (TEE-based confidential compute)
nilAI (private language-model inference on nilCC)
- Primus uses zkTLS technology that lets a user prove that data came from a real web session, such as a bank balance or an exchange position, without exposing the data or credentials.
It builds on TLSNotary and uses attestors that witness the encrypted session. Attestors run inside Phala TEEs, and the decentralized attestor group is called AlphaNet, which went live on Base.
2. Funding.
- Zama: total $174M in three rounds, reportedly a $1B valuation Series B and a $550M valuation in public sale.
- Nillion: total $64M in three rounds, including public sale.
- Primus: $6.5M in seed and pre-seed funding; also a $500K incubation round led by YZi Labs.
$ZAMA and $NIL are tradable, accordingly recorded at $875M and $85.6M FDV.
3. Core products.
- Zama: confidential ERC-20 wrappers (such as cUSDT).
Use cases: token sale, confidential payroll and OTC trading demos, and a developer protocol where deploying confidential apps is free.
Fees apply to encryption and decryption operations, are priced in USD and paid in $ZAMA, and 100% are burned, while operators earn newly minted tokens (reported at about 5% annual minting).
- Nillion: developer-facing storage, compute, and AI services sold on a credit system.
Credits for nilDB and nilCC are bought with $NIL, while nilAI also accepts card payments through Stripe. Blacklight node operators stake at least 70,000 NIL and share a pool funded by 0.5% of supply minted each year.
- Primus: zkTLS SDKs and data templates through a Developer Hub, AlphaNet (users verify social and Web2 accounts through a browser extension to build an on-chain reputation score), and proof-of-reserves and credit-verification integrations.
In short,
- Zama is the most visible and the most heavily funded.
- Nillion is the broadest in scope, covering storage, compute, and AI.
- Primus solves the narrowest problem and has the least public usage data.
Which one suits your taste?
Maya ๐๐ retweeted
Can a stock market sell-off hurt someone who has never owned a single share?
It can, and the same links are why Bitcoin fell with the Nasdaq last week even though it missed this year's stock rally.
I wrote about how losses travel between markets ๐
Maya ๐๐ retweeted
RWA makes more sense when you look at what people can actually do with it.
Take U.S. Treasury bills, for example.
Traditionally, accessing them can involve brokers, banking systems, paperwork, and minimum investment requirements.
Now imagine holding a token that represents a share of a fund invested in short-term U.S. Treasuries.
That's the idea behind products like OUSG by Ondo and BUIDL by BlackRock. They bring exposure to traditional financial assets into blockchain-based systems, subject to eligibility and product restrictions.
Here's where it gets interesting:
โข For investors: Access tokenized financial products without relying entirely on traditional investment infrastructure.
โข For crypto users: Certain tokenized assets can potentially serve as on-chain collateral, depending on the platform and its rules.
โข For businesses: Blockchain-based settlement can help move ownership and payments more efficiently.
โข For DeFi: Tokenized Treasuries could become useful building blocks for financial applications beyond speculative trading.
But tokenization doesn't automatically mean instant liquidity, unrestricted access, or risk-free returns. The underlying assets, issuer, custody arrangements, and redemption rules still matter.
The real RWA opportunity is making traditional assets more accessible and useful through blockchain infrastructure.
The Real-World Asset (RWA) sector is quietly absorbing traditional finance, hitting nearly $70 billion in total market value. Itโs no longer just a narrative, institutional capital is actively flowing on-chain.
Here are the heavyweights leading the charge in 2026:
๐ Infrastructure & Issuance:
โข $LINK (Chainlink): The $8.1B backbone feeding real-world pricing data securely to smart contracts.
โข $XLM (Stellar): Leading fast, low-cost asset issuance and payments with a $5.7B market cap.
๐ฆ Tokenized Treasuries & Yield:
โข BlackRock BUIDL: The institutional giant dominating the space with over $2.3B in tokenized treasuries.
โข $ONDO (Ondo Finance): Bringing institutional-grade cash equivalents and funds to DeFi with a $1.6B market cap.
๐ฅ Commodities & Private Credit:
โข $XAUt (Tether Gold) &$PAXG (PAX Gold): Over $4.5B combined backing digital tokens with physical, vault-stored gold.
โข $SYRUP (Maple Finance) & Centrifuge: Pioneering active on-chain private credit, lending pools, and corporate debt tokenization.
The bridge between TradFi and DeFi is already built. Which protocol are you watching closest this cycle? ๐
Maya ๐๐ retweeted
FOMC meeting is just 6 hours away.
And the market is almost certain that Kevin Warsh won't raise interest rates today.
Despite CPI and PPI coming in much hotter than expected, the market is expecting 90.6% chance of no rate change.
With the U.S. midterm elections just days away, investors are expecting the Fed to keep rates unchanged.
Now all eyes are on Warsh's speech.
Markets are still expecting one more rate hike before the end of the year, so what he says about December could be far more important than today's decision.
Even without a rate hike today, his comments could trigger a major move in stocks and crypto.
Maya ๐๐ retweeted
๐๐จ๐ฌ๐ญ-๐ช๐ฎ๐๐ง๐ญ๐ฎ๐ฆ ๐๐ซ๐ฒ๐ฉ๐ญ๐จ๐ ๐ซ๐๐ฉ๐ก๐ฒ (๐๐๐) ๐ข๐ฌ ๐ฆ๐๐ข๐ง๐ฅ๐ฒ ๐๐๐จ๐ฎ๐ญ ๐ฌ๐๐๐ฎ๐ซ๐ข๐ญ๐ฒ, ๐ง๐จ๐ญ ๐ฉ๐ซ๐ข๐ฏ๐๐๐ฒ.
I've noticed some confusion around post-quantum technology in crypto, especially when people discuss it as though it automatically makes blockchain transactions private.
That's not how it works.
PQC and privacy technologies can complement each other, but they're designed to address different problems.
Let me explain.
โ ๐ช๐ต๐ฎ๐ ๐ฒ๐
๐ฎ๐ฐ๐๐น๐ ๐ถ๐ ๐ฝ๐ผ๐๐-๐พ๐๐ฎ๐ป๐๐๐บ ๐ฐ๐ฟ๐๐ฝ๐๐ผ๐ด๐ฟ๐ฎ๐ฝ๐ต๐?
Today, many blockchains use cryptographic signatures to prove that someone has permission to move funds from a wallet.
Bitcoin and Ethereum, for example, rely on elliptic-curve cryptography for important parts of their transaction security.
These systems are considered secure against known practical attacks using classical computers.
However, sufficiently powerful quantum computers could eventually break the mathematical problems protecting some of these systems.
That's where PQC comes in.
Post-quantum cryptography uses cryptographic methods designed to resist attacks from both classical computers and future quantum computers.
For blockchains, one important application is replacing vulnerable digital signatures with quantum-resistant alternatives.
The objective is to prevent unauthorized parties from forging signatures and spending funds they don't control.
PQC also includes encryption and key-establishment methods designed to protect information against quantum attacks.
โ ๐๐ผ๐ฒ๐ ๐๐ต๐ฎ๐ ๐บ๐ฒ๐ฎ๐ป ๐ฃ๐ค๐ ๐บ๐ฎ๐ธ๐ฒ๐ ๐๐ฟ๐ฎ๐ป๐๐ฎ๐ฐ๐๐ถ๐ผ๐ป๐ ๐ฝ๐ฟ๐ถ๐๐ฎ๐๐ฒ?
No. And this is where the distinction becomes important.
Imagine sending 5 $ETH to another wallet.
On a transparent blockchain, anyone can potentially see:
โข The sending address
โข The receiving address
โข The amount transferred
โข The transaction history
Even if the transaction uses a quantum-resistant signature, those details can remain publicly accessible.
PQC can protect the authorization behind a transaction without hiding the transaction itself.
In simple terms:
PQC helps protect who can authorize a transaction. Privacy technology helps control what information others can see.
Those are two different security properties.
โ ๐ฆ๐ผ ๐๐ต๐ฎ๐ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ฝ๐ฟ๐ผ๐๐ถ๐ฑ๐ฒ ๐ฏ๐น๐ผ๐ฐ๐ธ๐ฐ๐ต๐ฎ๐ถ๐ป ๐ฝ๐ฟ๐ถ๐๐ฎ๐ฐ๐?
Several cryptographic approaches are used to protect sensitive information:
> Zero-knowledge proofs (ZKPs): Allow someone to prove a statement is true without revealing all the information behind it. When combined with the right protocol design, they can support private transactions and confidential verification.
> Fully homomorphic encryption (FHE): Allows computations to be performed on encrypted data without first decrypting it. This can support applications that process confidential information.
> Multi-party computation (MPC): Allows multiple parties to jointly compute a result without each party revealing its private inputs to the others.
> Trusted execution environments (TEEs): Use hardware-isolated environments to process sensitive information, although their security depends on hardware and implementation assumptions.
> Privacy-focused transaction protocols: Use techniques such as shielded transactions, commitments, and other cryptographic mechanisms to conceal selected transaction details.
However, using ZKPs, FHE, MPC, or TEEs doesn't automatically make an entire blockchain private.
The level of confidentiality depends on what the protocol actually protects.
Another technical distinction worth understanding: not every existing privacy system is quantum-resistant.
Some privacy technologies rely on mathematical assumptions that sufficiently powerful quantum computers could eventually weaken.
โ ๐๐ฎ๐ป ๐ฃ๐ค๐ ๐ฎ๐ป๐ฑ ๐ฝ๐ฟ๐ถ๐๐ฎ๐ฐ๐ ๐๐ผ๐ฟ๐ธ ๐๐ผ๐ด๐ฒ๐๐ต๐ฒ๐ฟ?
Absolutely.
Consider a future blockchain application handling confidential financial transactions.
It could use:
โข post-quantum digital signatures to protect transaction authorization against quantum attacks
โข privacy-preserving cryptography to conceal sensitive transaction information
โข zero-knowledge proofs to verify transaction validity without exposing the underlying private data
But the entire system would need to be designed and evaluated for quantum resistance.
Adding a post-quantum signature alone doesn't make every other cryptographic component quantum-safe.
This combination could become increasingly useful for institutional payments, private DeFi, confidential identity verification, and other financial applications.
โ ๐ช๐ต๐ ๐๐ต๐ผ๐๐น๐ฑ ๐ฐ๐ฟ๐๐ฝ๐๐ผ ๐๐๐ฒ๐ฟ๐ ๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ ๐๐ต๐ถ๐ ๐ฑ๐ถ๐๐๐ถ๐ป๐ฐ๐๐ถ๐ผ๐ป?
As quantum-resistant blockchain infrastructure develops, weโll probably see more projects describing themselves as post-quantum secure.
That claim needs to be examined carefully:
โธ does the project protect wallet signatures?
โธ does it address exposed public keys?
โธ are its privacy proofs also quantum-resistant?
โธ what about its encryption and other cryptographic components?
These are different questions, and a project can solve one without solving the others.
For example, a blockchain could implement quantum-resistant signatures while still exposing every transaction publicly.
Another could offer private transactions using cryptographic components that may eventually require quantum-resistant upgrades.
Neither property automatically guarantees the other.
โ ๐ ๐ ๐ฝ๐ผ๐๐-๐พ๐๐ฎ๐ป๐๐๐บ ๐ฐ๐ฟ๐๐ฝ๐๐ผ ๐๐ฎ๐๐ฐ๐ต๐น๐ถ๐๐
These are projects I'm following for quantum-resistant cryptography, blockchain security upgrades, and long-term cryptographic research.
Quantum-focused networks and infrastructure
โข $QANX โ @QANplatform
โข $CELL โ @cellframenet
โข $QRL โ @QRLedger
โข $ABEL โ @PQabelian
โข $NAORIS โ @NaoXprotocol
Established networks and other projects exploring quantum-resistant technology
โข $ALGO โ @Algorand
โข $XDC โ @XDCNetwork
โข $STRK โ @Starknet
โข $HBAR โ @hedera
โข $IOTA โ @iota
โข $CKB โ @NervosNetwork
โข $XNT โ @NeptunePrivacy
QRL and Abelian are particularly relevant because quantum-resistant cryptography is central to their network designs.
@Starknet is another example worth examining. Its STARK-based proof technology relies on quantum-resistant cryptographic assumptions, and the ecosystem has explored post-quantum wallet authentication.
However, quantum-resistant proofs donโt automatically make an entire network quantum-safe.
The same caution applies to other projects on this watchlist:
ยป Some have implemented specific quantum-resistant components.
ยป Others are researching or developing upgrades.
โ ๐ ๐ ๐ฝ๐ฟ๐ถ๐๐ฎ๐ฐ๐ ๐ฐ๐ฟ๐๐ฝ๐๐ผ ๐๐ฎ๐๐ฐ๐ต๐น๐ถ๐๐
For privacy, I'm tracking projects across confidential transactions, private smart contracts, zero-knowledge systems, encrypted computation, and confidential computing infrastructure.
Privacy-focused blockchains and applications
โข $SCRT โ @SecretNetwork
โข $ROSE โ @OasisProtocol
โข $RAIL โ @RAILGUN_Project
โข $AZTEC โ @aztecnetwork
โข @0xMiden
โข $NEAR โ @NEARProtocol
โข $ZEC โ @Zcash
โข $ALEO โ @AleoHQ
โข $FIRO โ @firoorg
โข $ZEN โ @horizenglobal
โข $NOCK โ @Nockchain
Confidential computing and privacy infrastructure
โข $ZAMA โ @zama
โข @fhenix
โข @inconetwork
โข @partisiampc
โข @nillion
โข @Arcium
โข @mindnetwork_xyz
โข @PhalaNetwork
โข @TACEO_IO
โข @primus_labs
These projects are building different parts of the privacy infrastructure.
For example:
โข RAILGUN uses zero-knowledge cryptography to support private DeFi interactions.
โข Zama focuses on FHE, enabling applications to perform computations on encrypted information.
โข Arcium develops confidential computation infrastructure using MPC.
โข Aztec focuses on programmable privacy and private smart-contract execution.
โข Primus develops privacy-preserving verification and computation technologies, including zkTLS and FHE-related infrastructure.
The important distinction is that these systems don't all provide the same type or level of privacy.
Some focus on hiding transaction information. Others protect data during computation or allow information to be verified without exposing the underlying records.
Their security assumptions and deployment maturity also differ.
โฆ Conclusion
Post-quantum cryptography is about preparing cryptographic security for a future where quantum computers could threaten today's widely used systems.
Privacy technology is about protecting sensitive information from unnecessary exposure.
A blockchain can have one without the other:
ยป A blockchain can be quantum-resistant without being private.
ยป A blockchain can be private without being quantum-resistant.
Understanding that distinction is essential before evaluating either category.
As these technologies develop, I'll be paying attention to:
โธ actual implementations
โธ independent security reviews
โธ whether their protections extend beyond individual components
The long-term objective should be systems that provide both strong cryptographic security against future threats and meaningful privacy for users.
Note: These are research watchlists, not claims that every listed project has deployed fully quantum-resistant or privacy-preserving infrastructure.
most metaverse projects sell you land and promise a game later.
@Tera_Map is doing things a little differently ๐
the 3D world is already live on Robinhood Chain, and there's some interesting progress lately.
๐ 3,333 unique land parcels
๐ฎ TERA Raiders is live with 4-player squads and leaderboards
๐ top players can earn guaranteed whitelist spots
๐ค TERA x Nucleus campaign offers 400 free mint spots
๐ช land NFTs are planned for a free mint, with the date still TBA
what caught my attention is the bigger idea behind it.
TERA wants to connect virtual land with real-world resource stocks through a future treasury and extraction system.
that economic side isn't live yet, but you can already explore the world without connecting a wallet.
game first, economy later. interesting approach.
curious to see how @Tera_Map develops after the mint.
would you rather own land or just play the game? ๐
๐ค Paid partnership
Maya ๐๐ retweeted
Pons is buying back and burning its own token at a 25% annualised rate of its market cap.
Hyperliquid sent $687M back to holders in 12 months.
Pump fun has already burned ~36% of its circulating supply.
These are the top 5 burn machines in crypto right now, ranked by how much of their market cap gets bought back each year ๐
1๏ธโฃ $PONS: 25.4% yield
80% of protocol fees go to automated TWAP buybacks. Every bought-back token goes straight to a burn address. Highest yield on the board.
2๏ธโฃ $PUMP: 18.1% yield
$29.8M in holder revenue in the last 30 days alone. Every bought-back token burned so far, roughly 36% of circulating supply as of April. Now running a 1-year programme at 50% of revenue.
3๏ธโฃ $AERO: 16.3% yield
$7.6M in holder revenue over 30 days. Buybacks are burned, with the Aero Foundationโs Momentum Fund deciding the timing.
4๏ธโฃ $CAKE: 4.7% yield
The most consistent, rule-based burn on the list. Fees buy back CAKE, and product fees fuel weekly burns. Old school, reliable.
5๏ธโฃ $HYPE: 4.0% yield
Smaller percentage, biggest firepower. $687M flowed back over 12 months on a $19.5B cap. The Assistance Fund converts fees to HYPE, and validators voted to treat it as burned.
Any other deflationary project you guys are watching? Comment below ๐ฝ
Maya ๐๐ retweeted
Over $44M in 30-day revenue for @pumpfun. Solana launchpad competition isnโt even close.
Latest DeFiLlama numbers:
> @Pumpfun: $44.2M
> @LaunchOnSF: $9.22M
> @Bonkfun: $2.21M
> @GraphiteProto: $1.49M
> @Raydium LaunchLab: $846K
Pump is doing nearly 4.8x its closest competitor and 20x Bonkfun.
Launching tokens is one business. Keeping the trading activity and capturing the fees afterward is where pump has built its advantage.
Maya ๐๐ retweeted
๐งต Thesis markets are a different surface from Meta Markets.
Meta Markets force equal-weight settlement against a hidden free vote.
They score how accurately you read pure collective belief under uncertainty.
@acepyr
๐งต If the ranking only stores the final outcome, it quietly rewards waiting.
The person who reads the free vote early and is right gets scored the same as the person who waits for the majority to form and then aligns.
One is judgment under uncertainty.
@acepyr
Maya ๐๐ retweeted
most memecoin launchpads reward whoever gets in earliest
@zerufinance is exploring a different model with activityfi
instead of starting with a token and hoping a real community forms around it, zeru starts with an economy that already exists
trading activity becomes the basis for an activity market, and the people contributing to that economy can earn the first seats in the resulting ztoken
that changes the question from who got the earliest insider allocation to who actually helped build the underlying activity
i think this is the more interesting direction for memecoin launches, especially when onchain behavior can be measured rather than judged by follower counts alone
activityfi is worth watching for anyone interested in how tokens could emerge from real onchain communities
check your wallet history and explore the new model ๐
app.zaps.markets/?invite=Dctโฆ
Maya ๐๐ retweeted
One thing Iโve noticed with perp trading is how fragmented everything has become. Different exchanges, different markets, and increasingly different incentives for the same trading activity.
Thatโs part of what @origamitech_ is trying to simplify.
Itโs a non-custodial, AI-powered trading platform that lets users trade manually or run automated strategies across multiple exchanges, with a Points Program layered on top.
The rewards structure is pretty straightforward:
โค Trading volume earns points on eligible markets
โค Positive net realized PnL contributes additional points
โค Referrals earn 10% of the Volume and PnL Points generated by invited users
โค Points are distributed weekly, with rankings tracked on a leaderboard
Now Epoch 2 is live from October 23โ29, and the exchange weights have been updated.
Selected markets across Derive, Extended, Hyperliquid, Hyperlink, and Lighter offer up to 3x multipliers, with separate weights for volume and PnL.
That last part is worth understanding. The same trading activity can earn different points depending on where itโs executed, although fees, execution quality, and risk still come first.
For traders already operating across multiple venues, the new epoch gives them another incentive to explore Origamiโs setup.
Check the Epoch 2 weights and leaderboard here: app.origami.tech/competitionโฆ
Ref code: app.origami.tech/register?reโฆ
You find a solid investment opportunity, then realize the minimum buy-in is way out of your budget ๐
That's how some traditional fixed-income funds work, which can put them out of reach for regular investors.
Been looking into what @grvt_io is doing with Grvt Earn, and I like this angle.
Grvt Earn is designed to bring tokenized fixed-income strategies onchain, with up to 11% APY on eligible assets. Yield isn't guaranteed ofc, but the access part is what caught my attention.
We're talking about a ~$161T market where a lot of these opportunities have historically been easier for institutions to access.
Tbh, I'm not interested in chasing the highest APY. Having more options beyond the usual crypto yield farms is already a pretty big deal to me








































