Consensus Capital

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Consensus Capital

Consensus Capital

@consensusvcfund

Early-stage VC backing Web3 & blockchain founders since 2017. Seed–Series A ($250k–$2M). Protocols, infra & dev tooling. Pitches open.

London Katılım Mart 2016
1K Takip Edilen4.3K Takipçiler
Consensus Capital
Consensus Capital@consensusvcfund·
Web3 markets rebound as institutional inflows rise and tokenized assets gain traction. Our fund is scaling exposure to high-growth protocols and real-world asset bridges.
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Consensus Capital
Consensus Capital@consensusvcfund·
CDP unlock liquidity without selling, powering overcollateralized stablecoins & onchain credit. 🔹 $8B in TVL 🔸 $8.37M in weekly fees 🔹 $4.37M in weekly revenue Onchain credit is scaling into a revenue-generating infrastructure layer.
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Consensus Capital
Consensus Capital@consensusvcfund·
📊 RWA Adoption Breaks Records Solana’s real-world asset tokenization ecosystem just hit a major milestone. Record $1.66B+ tokenized RWA value on Solana this quarter, driven by institutional demand for tokenized Treasuries and yield products - a clear signal traditional capital is finding on-chain utility. RWAs continue to bridge TradFi ↔ DeFi.
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Thiencd
Thiencd@thienadc·
GN CT 😴 sweet dreams
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GAB
GAB@GabrielnSpace·
gn CT the next unlock for agents isn’t a bigger model, it’s cashflow that respects IP. what @OpenledgerHQ is wiring feels like the missing liquidity layer: settlement that knows who owns what, who ran what, and who gets paid when why this matters to me: • receivable‑grade receipts turn usage into financeable cashflows; factoring and usage‑based credit lines become possible because default risk is measurable, not vibes • license‑aware splits make derivatives pay upstresm by default; datasets and model authors accrue real royalties over time • operator markets get priceable: region/latency tiers, performance bands, and penalties show ul on the same ledger • predictable exits to stables and L1 finality windows make enterprise reconciliation boring in a good way tonight I routed a small pay‑per‑embed pipeline on licensed support logs and watched splits land across dataset owner, model vendor, and the node that executed. no calls, no screenshots, just receipts I could reconcile in minutes. that’s when liquidity shows up: when provenance is bankable and execution is accountable, credit can flow to agents that deserve it
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Zoke
Zoke@z0ke·
GM CT! Can I get a GM? 🏔️
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Miracool 😎📊
Miracool 😎📊@Mira_cool_·
Missed the GM post Still grateful for the day Whats good CT ?
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Mr D
Mr D@darius4_d·
GM CT Another quack to start the day with. Filter the noise, follow where the lead signsl is.One of the best platforms capturing real attention and not noise is @wallchain gQuack
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fyucha.eth
fyucha.eth@fyucha_eth·
GM CT CodeXero is not a product, but the Liberation Engine of Open AI and Decentralized Wall Street. @CodeXero_xyz is based on the high-performance lightning-fast network, @SeiNetwork ⚡ (sub-second finality, ultra-low latency), and enables an ecosystem where AI is open, permissionless and profitable to everybody, not just Big Tech. 🧠 CodeXero Arena converts attention into value - gain XP, build mindshare on Wallchain, and with ideas that actually count. 🎁Xero Frens NFT is not cosmetic, it is the identity, access, culture, and signal. 🔓 No gatekeepers, no black boxes, no rent-seekers. 📈 Made to belong to builders, traders, creators, and researchers, not to extract. Whereas other systems concentrate power in an intelligence system, CodeXero diffuses power. They are Xero when they are constructing walls, rails. This is how AI stays open. This is where the value trickles down to the people. Welcome to CodeXero
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An
An@0xAnP·
gm CT This is my mood rn
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Daisy
Daisy@daisylusalita·
GM CT ☀️ This deterministic execution layer on @OpenGradient is actually cooking. Same input → identical output across every node, no probabiliwtic cope or variance arguments. Turns AI inference from “kinda reliable” to 𝗽𝗿𝗼𝘃𝗮𝗯𝗹𝘆 𝗰𝗼𝗿𝗿𝗲𝗰𝘁 at consensus level. Huge for DeFi agents that actually need to be trusted. Nova testnet edge cases already feeling different fr 🧠☕
DMFan.ETH@DMFanGossip13

GM CT ☀️ Diving deeper into @OpenGradient lately and the deterministic execution layer keeps hitting different. Same input, every node spits identical output no probabilistic nonsense, no variance debates. That consensus-level verification turns inference from "probably right" to provably correct at the protocol. Feels like the missing piece for agents that actually need to be trusted in DeFi or coordination plays. Who's testing edge cases on Nova testnet yet? 🧠☕

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Lucky base.eth
Lucky base.eth@luckynwoye0·
GM CT My Morning routine ✅Just tested Redactmoney Testnet and I'm impressed! Encrypted USDC & ETH seamlessly on Sepolia & Arbitrum. Easy approval process, smooth interface, no lags, but had issues on Base chain, but overall, this tech is massive. ✅Successfully deployed and tested a privacy-preserving ERC-20 token leveraging @fhenix FHE tech. Highlights include deploying a shielded token, minting, shielding/unshielding assets, and token transfers. Visit @RedactMoney And @fhenix to get a glimpse of the tech they are building. @Asterix54907294 #Privacy
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Morty
Morty@coolmortyvibe·
GN CT GRITUAL @ritualnet In many Web3 systems, oracles are used to bring external data on chain AI execution introduces a different class of dependency Oracles report information, but AI produces decisions and predictions Ritual is designed to handle this distinction at the infrastructure level Instead of trusting a single data source, execution is distributed AI outputs can be validated across the network This reduces reliance on trusted intermediaries Ritual extends decentralization beyond data delivery into computation itself @ritualnet @ritualfnd @Jez_Cryptoz @dunken9718 @joshsimenhoff
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Morty@coolmortyvibe

GM CT GRITUAL @ritualnet Integrating AI into Web3 is not just a technical challenge, but an architectural one. Most AI models are designed for centralized environments with full control over data and execution Ritual adapts AI models to operate within decentralized systems. @ritualnet @ritualfnd @Jez_Cryptoz @dunken9718 @joshsimenhoff Execution is separated from ownership and control. Models can be used without exposing internal logic or sensitive inputs. This allows AI to function as shared infrastructure Web3 applications gain intelligence without sacrificing decentralization Ritual bridges the gap between modern AI and trust minimized systems @ritualnet @ritualfnd @Jez_Cryptoz @dunken9718 @joshsimenhoff

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Àìr-vñs📍
Àìr-vñs📍@Airvns14·
Gm CT Discovering Konnex lately and I like the direction they’re taking. Real engagement, simple tasks, and a growing community. Worth keeping an eye on as it develops. 🚀 @konnex_world
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