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Risk oracles, automated systems that monitor and manage protocol risk onchain, are set to become a cornerstone of onchain finance. However, their reliability and design philosophy determine whether they actually reduce or introduce risk. When risk oracles fail to operate throughout volatile conditions, depend on poor-quality data, or lack...

32,109 次观看 • 10 个月前 •via X (Twitter)

26 条评论

Aave 的头像
Aave10 个月前

DeFi will win.

Armyant77 的头像
Armyant7710 个月前

When are we getting more info on staking v1?

Streamr Network 的头像
Streamr Network10 个月前

Risk systems only work if the data feeding them is reliable. Neutral, verifiable infrastructure is what turns “automation” into actual resilience

0x 的头像
0x10 个月前

Chainlink Banks. $LINK CODED

⬡ Cubes ⬡ 的头像
⬡ Cubes ⬡10 个月前

Staking v1 ...do it

David Marquart ⬡ 的头像
David Marquart ⬡10 个月前

@ChainLinkGod Safer oracles = Safer gfs

Dalv 的头像
Dalv10 个月前

Cool... Staking though?

NEVAR NE YOK 的头像
NEVAR NE YOK10 个月前

Fuck chainlink 👎

Curator 的头像
Curator10 个月前

i've been tracking oracle risks, this is spot on been using @SynthOS__ to manage cross-chain exposure, helps me sleep

Finnegan 的头像
Finnegan10 个月前

The comments are always the best 😂

Badidi Ogheneruemu 的头像
Badidi Ogheneruemu10 个月前

Chainlink Runtime Environment Safer Oracles 💪

Finnegan 的头像
Finnegan10 个月前

The token is dead

Jeycosmos ⚔️ 的头像
Jeycosmos ⚔️10 个月前

they gotta get their act together or we're all just gambling blind

MegaJohns 的头像
MegaJohns10 个月前

Dynamic bounds crush liquidation risks.

张义平.sol 🎒 🌊 RIVER .edge🦭 的头像
张义平.sol 🎒 🌊 RIVER .edge🦭10 个月前

Dynamic params boost farm yields safely

Corners 的头像
Corners10 个月前

cornerstone tech with razor-edge stakes—when oracles blink, the whole system feels it ⚠️🔗

Reality On Chain 的头像
Reality On Chain10 个月前

Bring all the institutional data on chain

Investimento Sincero 的头像
Investimento Sincero10 个月前

Bla bla bla Token price $12

Bao Justice $TSUKI 🌙 🦋 的头像
Bao Justice $TSUKI 🌙 🦋10 个月前

why @SergeyNazarov looks slim ? maybe the $LINK price dumps 🤷‍♂️

Pedro Moura 的头像
Pedro Moura10 个月前

$Link them all

李晓萌.base.eth 🌊 RIVER .edge🦭 的头像
李晓萌.base.eth 🌊 RIVER .edge🦭10 个月前

CRE elevates RWA pricing beyond static feeds.

Twinamatsiko Mike 的头像
Twinamatsiko Mike7 个月前

A rigorous analysis of internet of things should consider scalability, reliability, and long-term sustainability.

Ember 🇰🇷 的头像
Ember 🇰🇷10 个月前

LlamaGuard NAV sets a new standard for DeFi.

caominhweb3 的头像
caominhweb310 个月前

CRE setting gold standard for oracle safety

The Link Horde 2.0 的头像
The Link Horde 2.010 个月前

CHART

Galactic OG 的头像
Galactic OG10 个月前

#DeFi will win! @chainlink @aave $LINK

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Elon wants Treasury Dept to run on Blockchain as we now find out career officials are breaking the law every hour of every day by approving payments that are fraudulent or match funding laws passed by Congress Great news Elon Musk because Treasury Department is already running on-onchain and here are some of the things they are testing ✅DLT for Transparent Ownership Records: Digital ledger technology provides a transparent and immutable record of ownership for tokenized assets. Each transaction involving tokenized assets is recorded on the blockchain, creating a tamper-proof audit trail of ownership transfers. DLT ensures transparency and trust in the ownership history of tokenized assets, mitigating the risk of fraud and disputes ✅AI-Powered Asset Valuation and Risk Assessment: AI algorithms can analyze vast amounts of data to assess the value and risk of tokenized assets. Machine learning models can incorporate financial data, market trends, and other relevant factors to provide accurate valuations and risk assessments in real-time. AI-powered analytics can help investors make informed decisions about buying, selling, or holding tokenized assets based on their risk appetite and investment objectives ✅Automated Compliance and Regulatory Reporting: AI can automate compliance processes and regulatory reporting requirements for tokenized financial products. Machine learning algorithms can monitor transactions for suspicious activities, detect potential compliance violations, and generate regulatory reports automatically. By integrating AI-powered compliance solutions with DLT-based platforms, financial institutions can ensure regulatory compliance while minimizing operational costs and risks. ✅Decentralized Governance and Decision-Making: DAOs enable decentralized governance structures where stakeholders collectively make decisions about the management and operation of tokenized financial products. Token holders within DAOs can vote on key governance issues, such as asset allocation, dividend distribution, and protocol upgrades. Decentralized governance ensures transparency, accountability, and community participation in the management of financial product ---------------------- All of this is running on the same DLT that is the number one data focused blockchain used by @DeptofDefense 🇺🇸IRON SPIDR Powered by Constellation² $DAG

Dagnum²

17,293 次观看 • 1 年前

➠【Why Transparency Beats Hype for Serious Investors】 Hype attracts attention. Transparency allocates capital. Most teams optimize for visibility. Serious capital optimizes for clarity under risk. ┃ Investors don’t buy narratives. They price uncertainty. ▸ What exactly am I exposed to? ▸ Where can this system fail? ▸ Who controls the levers under stress? If these aren’t clear: ↳ capital either stays out ↳ or demands a discount ◆ Structure → behavior → outcome: Opaque systems → speculation-driven flows → unstable capital Transparent systems → informed allocation → durable capital ┃ What transparency actually looks like: ▸ Explicit risk surfaces (custody, oracles, governance) ▸ Verifiable data (not curated dashboards) ▸ Clear economic flows (who earns, who pays, when) ▸ Stress behavior defined upfront (not discovered in crisis) ↳ Not perfection. ↳ Predictability. ◆ The hidden cost of hype: It compresses perceived risk short-term… and amplifies it violently when reality shows up. That’s why: ▸ TVL spikes don’t equal trust ▸ attention doesn’t equal conviction ▸ growth without clarity doesn’t compound ┃ Serious capital behaves differently: It stays where outcomes are legible. Even if returns are lower, they are understandable. ╰┈➤ The shift: From “tell a better story” to “show a clearer system” ✔ Final principle: Capital doesn’t fear risk. It fears unknown risk. And transparency is how you remove it.

𓆩🪶𓆪 Delphoenix INT'L 𓆩🪶𓆪

14,596 次观看 • 5 个月前

The Onion Theory of Risk by Marc Andreessen: "I think the single biggest thing entrepreneurs are missing, both on fundraising and how they run their companies, is the relationship between risk and cash. The relationship between risk and raising cash, and then the relationship between risk and spending cash. So I've always been a fan of something that Andy Ratcliffe taught me years ago, which he called the onion theory of risk. Um, which basically is, you can think about a startup like on day one, um, as having every conceivable kind of risk, right? And you can basically just make a list of the risks. And so you've got, you know, founding team risk. You know, do the founders, are the founders gonna be able to work together? Do you have the right founders? You're gonna have product risk. You know, can you build a product? You'll have technical risk, right? Which is maybe you need a machine learning breakthrough or something to make it work. Are you gonna be able to do that? Um, you'll have, you know, launch risk. Will the launch go well? You'll have, you know, market acceptance risk. You'll have revenue risk. A big risk you get into in a lot of businesses that have a sales force is, can you actually sell the product for enough money to actually pay for the cost of sale? So you have the cost of sale risk. If you're a consumer product, you'll have a viral growth risk. Well, you get the thing of viral growth. And so, a startup at the very beginning is basically just this long list of risks. And then the way that I always think about running a startup is also the way I think about raising money, which is it's a process of peeling away layers of risk as you go. And so you raise seed money in order to peel away the first two or three risks. The founding team risk, the product risk, and maybe the initial launch risk. You raise the A round to peel away the next level of product risk. Maybe you peel away some recruiting risk because you get your full engineering team built. Maybe you peel away some customer risk because you get your first five beta customers. And so basically the way to think about it is you're peeling away risk as you go. You're peeling away risk by achieving milestones. And then as you achieve milestones, you're both making progress in your business, and you're justifying raising more capital. And so you come in, and you pitch somebody like us, and you say you're raising a B round. The best way to do that with us is you say, okay, I raised a seed round, I achieved these milestones, I eliminated these risks. I raised the A round, I achieved these milestones, and I eliminated these risks. Now I'm gonna raise a B round. Here are my milestones, here are my risks. And then by the time I go to raise a seed round, here's the state that I'll be in. And then you calibrate the amount of money that you raise to spend to the risks that you're pulling out of the business. And I go through all this, in a sense this sounds kind of obvious, but I go through all this because it's a systematic way to think about how the money gets raised and deployed. As compared to so much of what's happening, especially these days, which is just, my God, let me go raise as much money as I can. Let me go build the fancy offices, let me go hire as many people as I can, and just kind of hope for the best."

Founder Mode

106,909 次观看 • 9 个月前

Introducing FundByHook. A new way to support projects. No round to close. No deadline. No fundraising target. Building doesn’t stop when a funding round ends. We think funding should be able to keep going too. FundByHook is an incubator where each project gets its own token and a funding pool that stays open. People can back a project as it develops. The team draws from the pool over time to fund its work. The first fund is $RISK, the official token of FundByHook and Risk Labs, our studio. It comes with RiskLAB:500 generative compositions drawn onchain. CA: 0xbF0347cB1347B58e11Cd2Ba60854E0DD60d5F12F Here is how it works. FUNDING THAT STAYS OPEN A conventional raise has a finish line: a date, a target, a round to close. The work that follows rarely fits that calendar. On FundByHook, each pool runs through a Uniswap v4 hook. The hook controls a single liquidity position. External liquidity providers cannot add to it or pull liquidity out. You back a project by buying its token. You can sell through the same pool, subject to its available liquidity and the sell tax. The team receives funding in three ways: → 1% on buys, paid to the team → 10% of the ETH paid out by sells, paid to the team → A manual draw of 1% of the pool’s current ETH reserve, available at most once every seven days The draw does not accumulate. Waiting three weeks does not unlock three withdrawals. The team must trigger it, and each draw starts a new seven-day wait. Tokens remain in the pool. ETH leaves to fund the work. Each draw lowers the pool price slightly. After launch, the fund contracts have no admin setters, pause or upgrade functions. Only the team can trigger the draw. The funding rules stay fixed. Contracts by Tim and Risk Labs. FUND 1: $RISK $RISK has a fixed supply of 500 tokens. 400 seed the pool. It starts with no ETH: buyers bring it in. Buys move the price up; sells move it down. The remaining 100 $RISK are allocated to Risk Labs to reward people who help move our projects forward. The first 5 go out this week to people who helped move ELA forward. Those 100 tokens are not locked by code. We are responsible for how they are used. $RISK also has a visual form. RiskLAB is a collection of 500 generative compositions built from frames, cells and nodes. Both the images and their metadata are generated onchain. ONE TOKEN. ONE PIECE. With NFT mirroring enabled, each whole $RISK in your wallet corresponds to one RiskLAB piece, an ERC-721. 12.93 $RISK = 12 pieces + a 0.93-token fraction. Transfer a piece and one whole $RISK moves with it. Sell 1 $RISK from that balance and you are left with 11 pieces and 0.93 $RISK. One piece is burned; its ID can later be reissued. Your tokens and pieces are two representations of the same holding. NFT mirroring is enabled by default for ordinary wallets, and holders can change their own setting. THE PLATFORM TOKEN $RISK is the official token of FundByHook. Each fund launched on the platform will have its own token; $RISK remains the token of the platform and Risk Labs. It is also how we want holders to participate in what Risk Labs builds next. Our commitment: every future Risk Labs project will share a portion of its fees with $RISK holders. That commitment comes from the lab. It is not enforced by the $RISK contracts. The percentage, timing, eligibility and distribution mechanism are still to be defined. There is no fee-sharing mechanism live in these contracts today. On $RISK itself, all buy fees, sell taxes and team draws go to the team. THE DOOR For the first 10 blocks after the pool is seeded, buying is restricted to enlisted wallets. There is a door hidden in a site that was live long before the contract. That is all we will say. WHAT COMES NEXT $RISK is Fund 1. The next funds will come from ideas worth building, whether they come from Risk Labs or anyone else. Eventually, anyone will be able to launch a fund on FundByHook. Today, only the lab can launch. Permissionless launches are not live yet. For the lab, two rules apply: 01 / Each project must run autonomously before we start the next. 02 / Nothing launches without a good idea. $RISK remains the platform and studio token as those projects take shape. That is the experiment: Can funding stay open as long as the building does? Risk Labs starts with $RISK. What we build next has to earn your continued support. FundByHook is open now: Explore RiskLAB on FundByHook: Back the ones you believe in.

Risk Labs

29,308 次观看 • 13 天前

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Chainlink

413,586 次观看 • 12 天前