DeFi Researcher || Project Advisor || Content writer 🦅

Jupiter
Joined August 2009
Maya 💙💛 retweeted
🚪 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.
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Maya 💙💛 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?
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Maya 💙💛 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 👇
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Maya 💙💛 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: • For investors: Access tokenized financial products without relying entirely on traditional investment infrastructure. • For crypto users: Certain tokenized assets can potentially serve as on-chain collateral, depending on the platform and its rules. • For businesses: Blockchain-based settlement can help move ownership and payments more efficiently. • 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. It’s no longer just a narrative, institutional capital is actively flowing on-chain. Here are the heavyweights leading the charge in 2026: 🔗 Infrastructure & Issuance: • $LINK (Chainlink): The $8.1B backbone feeding real-world pricing data securely to smart contracts. • $XLM (Stellar): Leading fast, low-cost asset issuance and payments with a $5.7B market cap. 🏦 Tokenized Treasuries & Yield: • BlackRock BUIDL: The institutional giant dominating the space with over $2.3B in tokenized treasuries. • $ONDO (Ondo Finance): Bringing institutional-grade cash equivalents and funds to DeFi with a $1.6B market cap. 🥇 Commodities & Private Credit: • $XAUt (Tether Gold) &$PAXG (PAX Gold): Over $4.5B combined backing digital tokens with physical, vault-stored gold. • $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? 👇
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Maya 💙💛 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.
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Maya 💙💛 retweeted
𝐏𝐨𝐬𝐭-𝐪𝐮𝐚𝐧𝐭𝐮𝐦 𝐜𝐫𝐲𝐩𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐲 (𝐏𝐐𝐂) 𝐢𝐬 𝐦𝐚𝐢𝐧𝐥𝐲 𝐚𝐛𝐨𝐮𝐭 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐧𝐨𝐭 𝐩𝐫𝐢𝐯𝐚𝐜𝐲. 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. ➊ 𝗪𝗵𝗮𝘁 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗶𝘀 𝗽𝗼𝘀𝘁-𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗰𝗿𝘆𝗽𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝘆? 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. ➋ 𝗗𝗼𝗲𝘀 𝘁𝗵𝗮𝘁 𝗺𝗲𝗮𝗻 𝗣𝗤𝗖 𝗺𝗮𝗸𝗲𝘀 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗽𝗿𝗶𝘃𝗮𝘁𝗲? No. And this is where the distinction becomes important. Imagine sending 5 $ETH to another wallet. On a transparent blockchain, anyone can potentially see: • The sending address • The receiving address • The amount transferred • 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. ➌ 𝗦𝗼 𝘄𝗵𝗮𝘁 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗯𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻 𝗽𝗿𝗶𝘃𝗮𝗰𝘆? 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. ➍ 𝗖𝗮𝗻 𝗣𝗤𝗖 𝗮𝗻𝗱 𝗽𝗿𝗶𝘃𝗮𝗰𝘆 𝘄𝗼𝗿𝗸 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿? Absolutely. Consider a future blockchain application handling confidential financial transactions. It could use: • post-quantum digital signatures to protect transaction authorization against quantum attacks • privacy-preserving cryptography to conceal sensitive transaction information • 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. ➎ 𝗪𝗵𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝗰𝗿𝘆𝗽𝘁𝗼 𝘂𝘀𝗲𝗿𝘀 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗶𝘀 𝗱𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻? As quantum-resistant blockchain infrastructure develops, we’ll probably see more projects describing themselves as post-quantum secure. That claim needs to be examined carefully: ▸ does the project protect wallet signatures? ▸ does it address exposed public keys? ▸ are its privacy proofs also quantum-resistant? ▸ 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. ➏ 𝗠𝘆 𝗽𝗼𝘀𝘁-𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗰𝗿𝘆𝗽𝘁𝗼 𝘄𝗮𝘁𝗰𝗵𝗹𝗶𝘀𝘁 These are projects I'm following for quantum-resistant cryptography, blockchain security upgrades, and long-term cryptographic research. Quantum-focused networks and infrastructure • $QANX → @QANplatform • $CELL → @cellframenet • $QRL → @QRLedger • $ABEL → @PQabelian • $NAORIS → @NaoXprotocol Established networks and other projects exploring quantum-resistant technology • $ALGO → @Algorand • $XDC → @XDCNetwork • $STRK → @Starknet • $HBAR → @hedera • $IOTA → @iota • $CKB → @NervosNetwork • $XNT → @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 don’t automatically make an entire network quantum-safe. The same caution applies to other projects on this watchlist: » Some have implemented specific quantum-resistant components. » Others are researching or developing upgrades. ➐ 𝗠𝘆 𝗽𝗿𝗶𝘃𝗮𝗰𝘆 𝗰𝗿𝘆𝗽𝘁𝗼 𝘄𝗮𝘁𝗰𝗵𝗹𝗶𝘀𝘁 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 • $SCRT → @SecretNetwork • $ROSE → @OasisProtocol • $RAIL → @RAILGUN_Project • $AZTEC → @aztecnetwork • @0xMiden • $NEAR → @NEARProtocol • $ZEC → @Zcash • $ALEO → @AleoHQ • $FIRO → @firoorg • $ZEN → @horizenglobal • $NOCK → @Nockchain Confidential computing and privacy infrastructure • $ZAMA → @zama • @fhenix • @inconetwork • @partisiampc • @nillion • @Arcium • @mindnetwork_xyz • @PhalaNetwork • @TACEO_IO • @primus_labs These projects are building different parts of the privacy infrastructure. For example: • RAILGUN uses zero-knowledge cryptography to support private DeFi interactions. • Zama focuses on FHE, enabling applications to perform computations on encrypted information. • Arcium develops confidential computation infrastructure using MPC. • Aztec focuses on programmable privacy and private smart-contract execution. • 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. ✦ 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: » A blockchain can be quantum-resistant without being private. » 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: ▸ actual implementations ▸ independent security reviews ▸ 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.
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Maya 💙💛 retweeted
most metaverse projects sell you land and promise a game later. @Tera_Map is doing things a little differently 👀 the 3D world is already live on Robinhood Chain, and there's some interesting progress lately. 🌍 3,333 unique land parcels 🎮 TERA Raiders is live with 4-player squads and leaderboards 🏆 top players can earn guaranteed whitelist spots 🤝 TERA x Nucleus campaign offers 400 free mint spots 🪙 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? 🌍
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Maya 💙💛 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 👇 1️⃣ $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. 2️⃣ $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. 3️⃣ $AERO: 16.3% yield $7.6M in holder revenue over 30 days. Buybacks are burned, with the Aero Foundation’s Momentum Fund deciding the timing. 4️⃣ $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. 5️⃣ $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 🔽
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Maya 💙💛 retweeted
A CT account and a dream
A CT account and a dream
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Over $44M in 30-day revenue for @pumpfun. Solana launchpad competition isn’t 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.
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Maya 💙💛 retweeted
pov: you bought the dip but it kept dipping
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🧵 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
🧵 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
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Maya 💙💛 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 👇 app.zaps.markets/?invite=Dct…
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Maya 💙💛 retweeted
One thing I’ve noticed with perp trading is how fragmented everything has become. Different exchanges, different markets, and increasingly different incentives for the same trading activity. That’s part of what @origamitech_ is trying to simplify. It’s 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: ➤ Trading volume earns points on eligible markets ➤ Positive net realized PnL contributes additional points ➤ Referrals earn 10% of the Volume and PnL Points generated by invited users ➤ Points are distributed weekly, with rankings tracked on a leaderboard Now Epoch 2 is live from October 23–29, 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 it’s 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 Origami’s setup. Check the Epoch 2 weights and leaderboard here: app.origami.tech/competition… Ref code: app.origami.tech/register?re…
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You find a solid investment opportunity, then realize the minimum buy-in is way out of your budget 💀 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
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Four lending markets, four very different amounts of capital actually borrowed: @0xfluid • TVL: $874M • Active loans: $666M • 76% loan intensity @maplefinance • TVL: $2.68B • Active loans: $1.92B • 72% Jupiter Lend • TVL: $1.76B • Active loans: $1.08B • 61% @Morpho • TVL: $11.27B • Active loans: $5.77B • 51% Morpho is by far the largest market here, with $11.27B in TVL and $5.77B in active loans, but its loan intensity is closer to 51%. Morpho still wins comfortably on absolute scale, but Fluid and Maple are currently converting a much larger share of deposited capital into outstanding credit. That creates a very different ranking depending on what you care about. By TVL, it goes: Morpho → Maple → Jupiter → Fluid By loan intensity, it flips to: Fluid → Maple → Jupiter → Morpho Same four protocols, completely different order once the focus moves from capital accumulated to capital actually borrowed.
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One thing I've always found interesting about trading is how much capital ends up doing absolutely nothing. You keep funds ready for the next opportunity, but while you're waiting, they just sit there. That's the problem @GRVT_io is trying to solve with Grvt 2.0 The idea is pretty simple. 💰 Access tokenized fixed-income strategies targeting up to 11% APY (not guaranteed) 📈 Use eligible Earn balances as trading margin while they continue generating yield 🔐 Keep control through a unified self-custodial balance What makes this interesting to me isn't just the yield. It's the possibility of bringing institutional-style fixed-income opportunities and active trading into one place. Of course, the underlying asset risks, liquidity and margin rules still matter. But if Grvt can make this experience seamless, it could change how traders think about idle capital. Your money shouldn't have to stop working just because you're waiting for a trade.
🤝 Paid partnership
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why should fixed-income opportunities be mostly associated with banks and large investors? i think this is one area where bringing traditional finance on-chain could make a real difference... and it's something @grvt_io is working towards with grvt earn for years, fixed-income strategies have been an important part of how institutions manage their capital but accessing similar opportunities hasn't always been simple for everyday users grvt wants to change that by bringing tokenized fixed-income strategies to its self-custodial platform here's what makes it interesting > access to strategies traditionally associated with institutional investors > eligible assets targeting up to 11% apy, not guaranteed > opportunities brought on-chain through tokenization > more control over assets through a self-custodial approach and there's a much bigger picture here the traditional fixed-income market is estimated at around $160T grvt isn't trying to move all of that on-chain, but making even a small part of these opportunities more accessible is an interesting direction personally, i think the real value isn't just the potential yield it's giving more people access to financial strategies that were traditionally harder to reach of course, institutional-style strategies still carry risks, and higher target yields don't mean guaranteed returns but if grvt can make these opportunities easier to access and understand, that's a meaningful step towards connecting traditional finance with crypto...
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i pfp'd the @Arch logo last year for full support of the best tech on BTC it took a year but i think we are gonna see some very very good Arch action coming very very soon ARCH PRIME is primed whose ready
A look into the future. Arch Prime is coming.
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Currently, @Starknet is out here treating crypto like it actually has to survive the next decade of surprises instead of hoping yesterday’s math holds forever. Quantum computers and AI-assisted breakthroughs can flip assumptions on elliptic curves, but their STARK proofs already sit on hash functions that don’t rely on those weak spots. Programmable accounts let you swap signature schemes on your own contract without waiting for some giant network fork. They’re exploring an independent L1 so they control the upgrade timeline instead of riding Ethereum’s pace. That’s the real agility play. The StarkWare Quantum Hub: (quantum.starkware.co/) assesses eight capabilities for changing cryptography, and the counts reflect public evidence within its defined scope.
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