NijamulHoque

Dusk is now live for regulated markets
DuskNetwork is a Layer-1 blockchain built specifically for regulated finance and real-world assets. It supports native issuance, trading, and settlement of compliant financial instruments while keeping sensitive data confidential through zero-knowledge proofs all without sacrificing auditability.
Unlike typical privacy chains that hide everything from everyone, Dusk’s architecture allows confidential data to remain private by default while authorized entities can still verify compliance when required a necessary balance for regulated institutions.

Real partnerships and compliance context
DuskFDN’s positioning is reinforced by integrations with regulated infrastructure, such as Dutch Multilateral Trading Facility (MTF) partners that help support legally compliant tokenized securities issuance and secondary markets. This places dusk closer to institutional workflows, where regulatory frameworks like MiCA (EU Markets in Crypto-Assets) and MiFID II require both privacy and accountability on-chain.

Live network and ecosystem indicators
While precise on-chain activity numbers vary across metrics providers, dusk’s presence across major research and price platforms shows it is actively traded and recognized as a privacy-first regulated Layer 1:
Market cap figures around $86M–$126M range across sources at the latest snapshots.The circulating supply sits near 500,000,000 DUSK tokens, with a maximum of 1,000,000,000 DUSK — indicating tangible ecosystem scale.
This quantifiable data reflects real activity, not just vision statements.
Why this matters now
Traditional public blockchains struggle to satisfy institutional risk, audit, and privacy obligations simultaneously. Dusk’s privacy + compliance design, backed by real partnerships and deployment readiness, makes it relevant where legacy networks can’t easily operate.

DOCUMENTATION
That doesn’t guarantee adoption, but it does mean Dusk is distinct from hype-first chains it is infrastructure built to meet real regulatory requirements rather than narratives alone.
@Dusk #dusk $DUSK

Hello Square fam, hope you’re doing well.
Today I want to talk about Plasma in a verifiable, data-backed way not just claims to show what the network is actually doing right now.
Plasma mainnet snapshot (observable data)
According to the Plasma blockchain explorer PlasmaScan:
Total transactions: 143,831,022 recorded on-chain so far a clear indicator of long-running network usage. Latest block height: 12,167,543 blocks processed, with new blocks produced roughly every 1 seconds, confirming active block production. In the last 24 hours alone, ~411,035 transactions occurred, showing real daily activity on the network.
This data is real and measurable from the explorer not claims. 🔥

What this means practically
Numbers are important because a live chain with millions of transactions and continuous blocks is not just promised it’s happening and observable. That places Plasma in a different category from many chains that stay in testnet or announcement mode.
Why transaction count matters
Developers building apps care about actual network usage, not theoretical performance claims.
143 M+ transactions means real state changes on Plasma.
High daily transactions (411k+/24h) means ongoing interaction and not just dormant blocks.
These figures show Plasma’s chain is processing meaningful load, not just sitting idle.

Old narrative vs current reality
Before launch: Plasma was mainly described as a Layer 1 focused on fast, zero-fee stablecoin transfers.
Now (observable): The chain has processed 143 million+ transactions across millions of blocks, with thousands of transactions happening every day verifiable on-chain.
That transition is important. Observable data is far stronger than marketing rhetoric.

Limitations still exist
Numbers don’t tell the whole story. Adoption still depends on:
Ecosystem growth (apps built on Plasma)Developer tooling and documentationReal user retention and usage patterns over time
But the key change is this: Plasma is no longer a theoretical network. It is live, measurable, and producing activity visible to anyone online.
@Plasma #Plasma $XPL

Blockchains look strong in early stages. Low fees, fast confirmations, smooth launches. The problems usually appear later, when real users arrive and usage becomes uneven. That is where infrastructure either holds up or starts breaking in subtle ways.
Vanarchain is designed with that later phase in mind. Instead of optimizing only for headline metrics,
Vanarchain focuses on predictable execution and system behavior under real load. Applications do not just need speed. They need consistency. They need to know how the network behaves when traffic spikes, when usage patterns change, and when systems evolve. This matters especially for consumer-facing applications, gaming environments, and interactive platforms where user experience breaks quickly if performance becomes unstable. In those cases, small delays or unexpected behavior create friction that users notice immediately.
Vanarchain’s design approach reflects an understanding that real adoption is messy. Networks must handle uneven demand, changing conditions, and long-term maintenance without forcing developers or users to constantly adapt. That does not guarantee success. Adoption still depends on execution, ecosystem growth, and real usage. But the direction is clear. Vanar is not optimizing for short-term attention. It is optimizing for environments where reliability and user experience matter more than launch-day numbers.
Infrastructure becomes valuable when users stop thinking about it. That is the space Vanar is trying to occupy.
@Vanarchain $VANRY #vanar

Hi Square fam. This time I want to talk about Dusks governance model, not privacy or compliance.
In many blockchain projects, governance is treated as a social layer. Proposals, votes, and discussions happen, but they often sit far away from how the system actually operates day to day.
@Dusk approaches this differently. Governance in DuskFoundation is designed to directly support how the protocol runs, not just how decisions are discussed. Parameter changes, rule adjustments, and protocol evolution are expected parts of the system, not exceptional events. This matters because regulated and institutional environments cannot rely on informal coordination. Decisions need to be traceable. Changes need to be explainable. And updates need to follow clear processes instead of ad-hoc consensus.
By treating governance as part of the protocol’s operational structure, $DUSK reduces uncertainty around upgrades and rule changes. Builders know what can change and how. Institutions know that changes are not arbitrary. The system remains adaptable without becoming unpredictable. This does not make governance exciting or fast-moving.
But it makes it usable in environments where stability and accountability matter more than speed.
In real markets, how decisions are made is often as important as what decisions are made. Dusk-seems designed with that reality in mind.
#dusk

Hello Square fam.
আজ Dusk নিয়ে কথা বলবো একদম আলাদা জায়গা থেকে TRANSACTION STRUCTURE নিয়ে।
বেশিরভাগ ব্লকচেইন একটা সিদ্ধান্ত নেয় শুরুতেই। সব transaction public হবে, অথবা সব private হবে।
Dusk-এই binary চিন্তাটাই ভাঙে।Dusk-এ transaction মানে শুধু value transfer না।এটা context অনুযায়ী behaviour।প্রোটোকল দুইটা আলাদা transaction flow রাখে—একটা যেখানে privacy দরকার, আরেকটা যেখানে transparency দরকার।

এর মানে কী?
সব use case একরকম না। কিছু জায়গায় user confidentiality জরুরি। আবার কিছু জায়গায় rules, audits, বা public visibility দরকার।
Dusk-developer-দের বাধ্য করে না একটাই privacy mode ব্যবহার করতে। তারা ঠিক করতে পারে কোন interaction-এ কী level of disclosure লাগবে।
এটা developer experience-এর দিক থেকেও গুরুত্বপূর্ণ। কারণ app logic আর compliance logic আলাদা করা যায়। Privacy পরে জোড়া দেওয়া feature না। Transparency ও default চাপিয়ে দেওয়া হয় না।
এই separation ভবিষ্যতে কাজে আসে যেখানে একই system-এ users, institutions, আর regulators সবাই interact করে। সবাই একই rules-এ খেলছে, কিন্তু সবাইকে একইভাবে expose হতে হচ্ছে না।
এটা flashy headline না। কিন্তু এটা real systems বানানোর জন্য দরকারি design decision।
@Dusk
#dusk $DUSK

Blockchains assume users want either full transparency or full anonymity. That assumption breaks down in regulated finance.
DuskNetwork is designed for a different reality.
Some participants must follow rules, audits, and legal obligations. @Dusk enables confidentiality without removing accountability. Transactions stay private by default, but verification remains possible when required. This is not about hiding activity. It’s about making on-chain systems usable where compliance is non-negotiable. That design choice limits hype. But it expands where blockchain can actually operate.
$DUSK #dusk

Hello Square fam. Today I want to talk about a design choice that rarely shows up in marketing.
Invisible stability.
Many projects optimize for what users can immediately see. Speed charts. Cost comparisons. Headline numbers. These matter early, but they do not define long-term infrastructure quality. Walrus focuses on what users should not notice.

No constant adjustments. No frequent breaking changes. No need for apps to react to internal protocol shifts.
When infrastructure works well, users barely think about it. Applications run. Builders ship. Systems behave consistently.
This kind of stability is hard to showcase, but it compounds over time. It builds trust. It reduces friction. It allows ecosystems to grow without constant resets. Walrus is not optimizing for attention cycles. It is optimizing for systems that stay boring in the best possible way.
@Walrus 🦭/acc $WAL #walrus

Hello Square fam.Speed looks impressive on launch day.Stability is what gets tested after real users arrive.
Many decentralized systems prioritize speed and cost first. Reliability is often addressed later, after real usage exposes weaknesses.
Walrus flips that order.

Its design assumes that failures will happen. Network conditions change. Load spikes occur. Components misbehave. Instead of pretending these issues are edge cases, Walrus designs for them upfront. Early detection, predictable behavior, and controlled recovery are built into the system. The goal is not to eliminate failure, but to make failure non-disruptive.
For builders, this reduces the need for defensive engineering around the protocol. For users, it means fewer surprises and less downtime during normal operation.Reliability is not something you bolt on after adoption. It is something you either design for early or pay for later.
Walrus chooses the early cost.

Source: Walrus Doc
@Walrus 🦭/acc $WAL #walrus

Hi Square fam. Today I want to talk about a problem most decentralized infrastructure quietly creates over time.
Coordination debt.

In many networks, every upgrade, parameter change, or internal adjustment slowly pushes responsibility outward. Builders must update logic. Apps must react. Users are forced to adapt even when nothing is broken for them.Walrus takes a different stance.Instead of pushing change to the edges, Walrus absorbs complexity at the protocol level. Internal changes are handled by the system itself, not offloaded to applications or users.
This matters because real infrastructure is not static. Protocols evolve. Conditions change. But users should not need to babysit the system just to keep things working.
By minimizing coordination overhead, Walrus allows builders to focus on product logic instead of constant maintenance. For users, the experience stays predictable even as the system evolves underneath. This is not a flashy feature. But over time, it directly affects reliability, developer velocity, and trust.
@Walrus 🦭/acc $WAL #walrus