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prev. @messaricrypto | survive & advance, nfa

New York City เข้าร่วม Eylül 2021
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Elata
Elata@Elata_Bio·
1/ What is Elata? Elata is a launchpad for brain interfacing apps. We’ve combined easy browser tools with private, on-device processing and cryptoeconomics to help anyone ship one. It’s orchestrated so builders get paid fairly and users can actually own a piece of the value they create.
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Sam
Sam@0xCryptoSam·
Unfortunately, my team got cut in the layoffs. A disappointing outcome to an otherwise fantastic experience. I’m very grateful to have been a Messari Research Analyst. What I can confidently say is that quality thought-leadership is presently the most undervalued resource in crypto. The mediocrity of AI-driven writing and reasoning has convinced many that it is a suitable replacement for a research analyst. I promise you - it isn’t. Frontier technologies today (crypto, AI, robotics, quantum) are hyper-ideological and incredibly contentious. We’re entering a new era that demands human judgement and debate. LLMs will tell you what’s consensus. Ask any LLM today if an intelligent person should pivot from crypto to AI; they all say yes. We need thought-leaders willing to play 4D chess in public and get a couple moves wrong before they win the match. Humanity is incredibly undervalued in the 21st century. Lastly, the talent density at Messari was unlike anything I’ve ever seen. Any crypto companies hiring should reach out to myself, Diran, or any of the Messari folks directly to get in contact if you’re looking to hire.
DEGEN NEWS@DegenerateNews

NEW: MESSARI CEO STEPS DOWN ALONGSIDE MASS LAYOFFS IN AI PIVOT - THE BLOCK SOURCE: theblock.co/post/393840/me…

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0xCloud@0x_cloud·
@hammerfrog64 This doesn’t address micropayments and agents working autonomously
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Jake
Jake@immutablejacob·
.@USDai_Official is launching its $CHIP TGE soon. i just published a 30-page valuation report that is free for all to access: messari.io/report/a-valua… let's break down the key points: 1) what is USD.AI? USD.AI is an onchain credit protocol financing real-world AI infrastructure. the protocol originates stablecoin-denominated loans backed by GPU hardware and related compute assets, bridging onchain capital with offchain infrastructure deployment. USD.AI issues two core tokens: > $USDai – a dollar-denominated token used for minting, funding, and redemptions > $sUSDai – a yield-bearing vault share representing exposure to deployed AI infrastructure loans 2) how does USD.AI work? USD.AI sits between borrowers seeking upfront capital to deploy AI compute infrastructure and capital providers seeking dollar-denominated yield. the protocol structures collateral, underwrites risk, coordinates funding, and manages liquidity and redemption mechanics within an onchain framework. CALIBER provides the legal and technical backbone for representing GPU hardware as enforceable onchain collateral. Queue Extractable Value (QEV) is the queue-based redemption mechanism used to manage liquidity against amortizing, illiquid collateral. 3) what does USD.AI’s adoption look like? USD.AI currently has: > $475M TVL > 6.65% $sUSDai APY > $8M in active loans > $105M in near-term pipeline > $1.5B+ expected loan volume over the next year execution, not demand, is the binding constraint. 4) what is $CHIP? $CHIP is USD.AI’s governance and risk-policy token. it governs: > collateral standards > underwriting parameters > fee surfaces and routing > interest rate controls > treasury and capital policy CHIP’s utility can be grouped into three domains: 1. governance and protocol control 2. revenue governance and capital allocation 3. staking module and insurance backstop importantly, there is no mechanically enforced claim on protocol cash flows. Value accrual is governance-contingent. 5) how exactly did I value $CHIP? i did not assume $CHIP automatically gets protocol cash flows, as there is currently no hard-coded revenue share. so instead of forcing a DCF, I built the valuation from protocol mechanics up. i model $CHIP using two complementary lenses: >> Buyback-supported value i project distributable surplus (Years 1–5), discount it to present value, and add a terminal enterprise value based on Year 5 surplus: PV of distributable surplus + PV of terminal EV = total EV. Then I apply governance-contingent assumptions: buyback rate & buyback effectiveness. This produces a buyback-supported FDV range of: > Bear: $46.4M > Base: $329.6M > Bull: $1.74B This pathway only works if governance actually routes surplus to tokenholders. >> Insurance-capital-implied solvency threshold $CHIP may function as recognized backstop capital in the insurance module. Under this lens, valuation is driven by: > outstanding funded exposure > coverage requirement > required backstop capital > staking participation & recognition rate > required staking yield the outputs are the FDVs at which staked $CHIP would be sufficient to meet modeled coverage requirements. They are not price targets, but capital adequacy thresholds: > Bear: $270.1M > Base: $275.6M > Bull: $503.2M together, these two lenses bracket the investment question: > can USD.AI convert pipeline into funded originations at scale? > can it maintain capital efficiency? > will governance establish credible, repeatable value routing? 6) disclaimer: i do not hold $CHIP at time of writing. this is not investment advice.
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Heart
Heart@heart_·
gm
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0xCloud@0x_cloud·
4/ Following the $DIME TGE, Paradex is committed to expanding beyond perps into additional spot markets, options, and RWA trading.
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0xCloud@0x_cloud·
Purpose-built for privacy, @Paradex is a perp dex that combines institutional-grade performance with onchain security🧵
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Patryk
Patryk@Solofunk·
Excited to share I've joined @serotonin_hq as Director of Research! Financial infrastructure is moving onchain faster than ever. Serotonin's mission is to accelerate the adoption of breakthrough technologies, supporting institutions such as @circle, @vaneck_us, @Figure, and @WisdomTreeFunds, as well as emerging financial products from @daylightenergy, @m0, @SteakhouseFi, @DinariGlobal, @solsticefi, and others. After several years at @MessariCrypto, I'll be building a thesis-driven research function focused on the evolution of finance and the onchain products reshaping capital markets. Our first report examining the onchain financialization of private credit is underway. If you're building at the intersection of finance and crypto and want to explore how research can sharpen your positioning, @amandacassatt, @ajbanon, and I would love to connect.
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rb3k
rb3k@rbthreek·
.@flaunchgg has had some very interesting launches come out of it recently, some real devs finding the platform organically and benefitting from 100% of eth trading fees paid out to them. Don’t see how $flay sits at such a low mcap if the trend continues
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Rick
Rick@CryptoRick98·
The next billion crypto users won’t be humans. They’ll be AI agents. Agents can’t pass KYC, don’t sleep, and operate at machine speed. Traditional financial rails break under those constraints, which is why agent coordination and commerce will move onchain. For agent economies to work, agents need more than wallets. They need identity, reputation, and trust. ERC-8004 gives agents a persistent onchain identity and reputation layer, while x402 enables programmatic payments. Since launching on Jan 29, 2026, ERC-8004 has seen over 40,000 agent registrations. While much of that reflects testing and spam, it signals early demand for agent-native coordination infrastructure.
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0xCloud@0x_cloud·
x402-coded
TBPN@tbpn

Tempo's Dan Romero explains why the future of AI agents will be "stablecoin-native." John: "Why wouldn't I just give OpenClaw my credit card?" @DWR: "The credit card itself is kind of a private key, having that get prompt-injected out, maybe not the best thing in the world." “If you have agent swarms, the idea of spinning up a new credit card for each individual sub-agent doesn’t make sense. With wallets, you can spin up as many as you want and manage the balances for each agent.” “An API call to any of these frontier labs right now is pay-per-call. You’re eventually going to get to a point where, for every single API call, you can just pay some amount of stablecoins in the background and keep moving.”

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0xCloud
0xCloud@0x_cloud·
@masonnystrom think i pitched u these exact words this 2 years ago hahah
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Mason Nystrom
Mason Nystrom@masonnystrom·
Consumers have more protections on prediction markets than they do on sportsbooks. Users on prediction markets: - don't get banned for winning - get better and more transparent odds - are betting against their peers rather than "the house"
Dina Titus@repdinatitus

Prediction markets should not be able to circumvent state gaming laws. Consumers deserve transparency, accountability, and protection against such predatory practices. That is why I introduced the Fair Markets and Sports Integrity Act to prevent entities from engaging in transactions involving sporting or casino-style event contracts.

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Tulip King 🌷
Tulip King 🌷@tulipking·
The Bankr Thesis; text to onchain
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