trustmesh.app by Scend Technologies

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trustmesh.app by Scend Technologies

trustmesh.app by Scend Technologies

@TrustMeshApp

The trust engine behind a new class of messaging, payments, and culture apps. Msgs that unlock value - without spam, friction, or extraction. Built on Hedera.

USA Katılım Aralık 2025
32 Takip Edilen30 Takipçiler
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trustmesh.app by Scend Technologies
trustmesh.app by Scend Technologies@TrustMeshApp·
Messaging apps assume trust. Payment apps avoid it. Culture platforms extract it. We built the missing layer that lets conversations safely unlock actions, payments, and value. TrustMesh is the engine for a new class of msging, pymnts, and culture apps - where trust is native.
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trustmesh.app by Scend Technologies
trustmesh.app by Scend Technologies@TrustMeshApp·
The question isn’t who are you, it’s what trust has been explicitly granted to you, by whom, and in what context.
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trustmesh.app by Scend Technologies retweetledi
Tim ħ
Tim ħ@Tim1Echo·
I didn’t go into the Hedera hackathon planning to build “a trust protocol.” I went in with a vague frustration: Smart people. Real work. Zero proof that actually travels outside the room. Somewhere between coffee no. 3 and a broken demo, that frustration got a name.
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zauth
zauth@zauthx402·
This is what we love to see. If you're a provider, verify your endpoints with zauth. Autonomy only works when trust comes first.
noble@ridingliquid

Proud to announce, @silverbackdefi endpoints are now verified on @zauthx402 x402 enables autonomous payments, but autonomy creates a trust problem - How does an agent know a service works before paying? Zauth built the answer. AI agents testing endpoints continuously, flagging failures, maintaining live verification. The trust layer x402 needs to scale. This is a first for agents - verified, trusted service discovery in the wild. Props to the Zauth team for seeing this gap and building what was missing.

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Kallisti.cash 🍏
Kallisti.cash 🍏@kzKallisti·
@PakoVM @TheDesertLynx I don't think you understand what "trust-minimized" means I also don't understand why I would use anything "trust-minimized" when I could use something "trustless" that's ALSO much simpler you do you I guess
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PakoVM
PakoVM@PakoVM·
Joel hasn't met a single Bitcoiner in his life and falls for all the anti-narratives the same way many so called Bitcoiners fall for the narratives... And it shows.
Joel Valenzuela@TheDesertLynx

Bitcoin maximalism is for people who have bank accounts and fiat, use centralized and censorable communication apps, trust all their data to giant corporations, and care zero about their privacy. To be sovereign you have to explore other chains. If you don't, you're LARPing.

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PrieXt
PrieXt@DaPrieXt·
Security in @ConfidentialLyr is not a marketing claim, it is a system design choice. The protocol relies on elliptic curve cryptography paired with Shamir’s Secret Sharing, which splits control across node operators. No single party ever holds the full signing key. This matters more than most users even realize. Transactions are validated through a collaborative ECDSA signature process, meaning consensus is enforced at the cryptographic level. Even if one node fails or acts maliciously, it cannot compromise the system. Witness data is stored on a decentralized ledger, making deposits verifiable and immutable. To me, this is a security that assumes failure will happen and plans for it. Instead of trusting operators, the protocol distributes responsibility so trust becomes unnecessary.
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trustmesh.app by Scend Technologies
trustmesh.app by Scend Technologies@TrustMeshApp·
@muchakarlamadhu It our posture that universal trust "scores" foster exclusion... but it doesn't have to be that way! Our pinned post explores the resolution of universal trust/credit scores. Would love your perspective.
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MadhuKumar | Official InterLink Ambassador T3
MadhuKumar | Official InterLink Ambassador T3@muchakarlamadhu·
🧵 The moment we’ve all been waiting for is coming soon – $ITLG verification. HCS (Human Credit Score) plays a key role. Powered by Graph Neural Network AI, it measures trust, consistency, and network contribution to determine verification ratios. #ITL #ITLG #InterLink
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Lin
Lin@Lin102588·
@sanlouissk Trust graph sounds epic!
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𝑆𝑎𝑛𝑙𝑜𝑢𝑖𝑠𝑠𝑠
𝑆𝑎𝑛𝑙𝑜𝑢𝑖𝑠𝑠𝑠@sanlouissk·
🔥 i’m here for this energyMorning ☀️ I’ve been sitting with this all week: if you could build one identity feature inside @billions_ntqk, what would you add next? Maybe I’j the only one who keeps wanting a “relationship attestation” that signals who’s actually collaborating (without doxxing anything important) The way Billions does verifications is already a step ahead, but the next unlock reels like it’s not just about “proving I’m real,” it’s about mapping trust between real builders, partners, even AI agemts in a way you can carry anywhere If the team said “open suggestion box,” what’s your wild card idea for what they SHOULD ship next?
WB@WBteamz

Morning ☀️ I’ve been sitting with this all week: if you could build one identity feature inside @billions_ntwk, what would you add next? Maybe I’m the only one who keeps wanting a “relationship attestation” that signals who’s actually collaborating (without doxxing anything important) The way Billions does verifications is already a step ahead, but the next unlock reels like it’s not just about “proving I’m real,” it’s about mapping trust between real builders, partners, even AI agents in a way you can carry anywhere If the team said “open suggestion box,” what’s your wild card idea for what they SHOULD ship next?

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Jesus'baby 🦋
Jesus'baby 🦋@Web3princes·
The biggest risk in Web2? Your audience belongs to the platform. In the Web3 scenario, your audience is on-chain. You own the social graph. If the platform disappears, your connection to your people stays. It's portable trust. This is the Portability Angle
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Jesus'baby 🦋
Jesus'baby 🦋@Web3princes·
Your audience I’ve heard a lot of people say ➛know your audience ➛do what your audience likes ➛make tweets when your audience are active But what really is an audience? Who are they? How do you know this is my audience? How do you even know what your audience wants I sat down and really thought about this. I looked at different scenarios and did some research. I’ve realized you can actually classify an audience into 4 distinct groups: ➛ The Ownership Angle ➛ The Portability Angle ➛ The Philosophical Angle ➛ The Co-Creation Angle
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trustmesh.app by Scend Technologies
trustmesh.app by Scend Technologies@TrustMeshApp·
Put together, this forms a layered trust stack: - Discoverability (HCS-2) - Identity (HCS-22) - Profiles (HCS-11) - Relationships (HCS-3 pattern) - Trust authority (HCS-23) - Behavior signals (HCS-5)
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Keşfet

@zauthx402 @kzKallisti @PakoVM @TheDesertLynx @returnofswagnft @DaPrieXt @ConfidentialLyr @muchakarlamadhu