Kol Nicky

Most people still treat stablecoins like a parking spot.
You move into them when the market looks dangerous…
then leave again when opportunities return.
But here’s the problem:
Idle stablecoins slowly become invisible capital.
They protect value…
but they don’t really do anything.
And in today’s market, that’s starting to matter more than people realize.👇
For years, DeFi users had to choose between two things:
➠ Stability
or
➠ Yield.
If you wanted safety, your capital mostly sat still.
If you wanted higher returns, you usually had to move into volatile assets, lock your funds for long periods, or chase unsustainable APYs that disappeared weeks later.
That tradeoff became normal in crypto.
But the market is slowly shifting away from that model.
This is where sUSDD enters the conversation.
sUSDD is the yield-bearing version of USDD.
Instead of simply holding a stablecoin passively, users can put their USDD into a system designed to generate returns while still remaining inside the broader @USDD - Decentralized USD ecosystem.
The interesting part is not just the yield itself…
It’s the flexibility behind it.
A lot of yield systems in DeFi come with conditions:
⇛ Lock your funds for months.
⇛ Limited participation slots.
⇛ Complex withdrawal rules.
⇛ Rewards that depend heavily on inflation.
And once market conditions change?
Moving capital becomes difficult.
sUSDD approaches things differently.
No lock-up periods.
No capped participation limits.
Your capital stays flexible.
That flexibility matters more than people think.
Because crypto markets change fast.
Sometimes users want:
• stable yield,
• fast liquidity access,
• lower volatility exposure,
• or the ability to rotate strategies quickly.
sUSDD is built around that reality instead of forcing users into rigid structures.
What makes the ecosystem more interesting is that users are not limited to just one earning path.
There are multiple layers to how yield can be approached.
➠ Some users keep things simple:
Mint USDD → convert to sUSDD → earn yield.
➠ Others participate through boosted campaigns with ecosystem partners and wallets offering enhanced opportunities.
➠ More advanced DeFi users explore:
• liquidity provision,
• looping strategies,
• leveraged stablecoin positioning,
• and cross-platform yield optimization.
So the system works for both beginners and experienced DeFi participants.
And this is where the bigger market shift is happening.
Stablecoins are no longer being treated as “waiting room assets.”
They are slowly evolving into productive capital layers inside DeFi.
Capital that:
• stays stable,
• stays liquid,
• but still works in the background.
That’s a very different role from what stablecoins originally represented.
What I personally find interesting about sUSDD is that the model doesn’t try to force users into unnecessary complexity.
At its core, the idea is simple:
Keep the stability advantages people already want from stablecoins…
while creating more efficient ways for capital to stay productive.
And in a market where users are becoming far more careful about risk, flexibility and sustainability…
that shift becomes increasingly important.
The future of DeFi probably won’t belong only to the highest yields.
It’ll belong to systems that balance:
• stability,
• transparency,
• flexibility,
• and sustainable capital efficiency.
That’s the direction sUSDD appears to be positioning itself toward.
And honestly…
that’s a much bigger conversation than yield alone.
Official Links:
⤞ 𝕏: @usddio
⤞ Website: usdd.io
⤞ Telegram: t.me/usddio
⤞ Meduim: medium.com/@USDD - Decentralized USD
@USDD - Decentralized USD @@Justin Sun孙宇晨 #TRONEcoStar #defi #crypt #yield

A stablecoin only matters if people can actually use it.
Not just hold it.
Not just speculate on it.
Use it.
And I think this is one of the most important things happening with @USDD - Decentralized USD right now. 🧵👇
Most people still think stablecoins are simply “digital dollars.”
But inside DeFi, stablecoins are much more than that.
They act as:
→ liquidity
→ collateral
→ settlement layers
→ trading infrastructure
→ capital movement rails
Basically, stablecoins are what keep the entire system moving.
And the stronger the usability, the stronger the stablecoin becomes.
This is where USDD starts getting interesting.
Because USDD is not positioning itself as a passive reserve asset sitting quietly on-chain.
It’s positioning itself as a working asset inside the broader DeFi economy.
For example, USDD can already be used for:
▪️Sending value without major price volatility
▪️Providing liquidity on DEXs
▪️Lending and borrowing strategies
▪️Collateralized vault systems
▪️Cross-chain transfers
▪️Settlement inside DeFi workflows
That combination matters more than people realize.
Because the stablecoins that survive long term likely won’t be the ones with the loudest narratives…
They’ll be the ones deeply integrated into actual financial activity.
And utility creates stickiness.
One thing I also find important is how USDD approaches stability itself.
Not all stablecoins work the same way.
Some rely heavily on:
→ centralized reserves
→ banking partners
→ off-chain custody
Others rely mostly on:
→ supply expansion
→ market incentives
→ reflexive token mechanics
USDD appears to be taking a different route.
It positions itself closer to an over-collateralized crypto-backed model.
That distinction matters because it suggests the system is trying to anchor stability through visible reserve support rather than depending purely on market reflexivity.
And honestly, after everything the stablecoin sector has experienced over the past few years, transparency and reserve structure matter more than ever.
But USDD doesn’t rely on only one layer of defense.
The Peg Stability Module (PSM) adds another important mechanism to the system.
This allows 1:1 stablecoin swaps with minimal friction, helping improve redemption efficiency and liquidity confidence during market stress.
In simple terms:
the system is trying to strengthen stability from multiple angles simultaneously.
And that multi-layered approach may become increasingly important as DeFi scales further.
Because in the end, stablecoins are not valuable simply because they are “stable.”
They become valuable when they are:
→ trusted
→ usable
→ liquid
→ integrated
→ and deeply connected to real on-chain activity
That’s the direction @USDD - Decentralized USD seems to be moving toward.
Not just becoming another stablecoin but becoming infrastructure that DeFi can continuously build on top of.
Official Links:
⤞ 𝕏: @USDD - Decentralized USD
⤞ Website: usdd.io
⤞ Telegram: t.me/usddio
⤞ Meduim: medium.com/@USDD - Decentralized USD
@@Justin Sun孙宇晨 #defi #stablecoin #crypto #TRONEcoStar

Most stablecoins only do one thing well:
“𝙄𝙙𝙡𝙚𝙣𝙚𝙨𝙨”
But the deeper DeFi grows, the more obvious one problem becomes:
Why should billions of dollars remain idle?
This is where @USDD - Decentralized USD starts separating itself from the traditional stablecoin model.
Because USDD isn’t trying to become “just another dollar token.”
It’s building something much bigger:
a productive, transparent, multi-chain liquidity layer for DeFi. 🧵👇
To understand USDD properly, you first need to understand how most stablecoins work today.
Many are built around:
→ centralized custody
→ opaque reserves
→ limited utility
→ passive holding
You hold them but they rarely work for you.
USDD approaches things differently.
Instead of focusing only on price stability, the ecosystem focuses on:
• capital efficiency
• on-chain transparency
• yield infrastructure
• multi-chain accessibility
• real DeFi integration
And that changes how the stablecoin behaves inside Web3.
One of the biggest parts of USDD’s design is “over-collateralization”.
This means the system maintains reserve buffers designed to strengthen stability during market volatility.
But what matters more is this:
Those reserves are publicly visible onchain.
Not quarterly guesses.
Not hidden reports.
Verifiable transparency.
Users can monitor:
→ reserves
→ treasury activity
→ TVL
→ collateral structure
→ ecosystem metrics
in real time.
And in today’s market, transparency has become a competitive advantage.
But USDD goes beyond reserves.
The ecosystem is increasingly positioning itself around capital productivity.
This is where tools like:
• USDD Savings
• Smart Allocator
• Vault strategies
• sUSDD
start becoming important.
Because instead of simply holding stablecoins passively, users can deploy capital across multiple yield layers inside the ecosystem.
That creates a different type of stablecoin experience:
one where stability and productivity coexist.
Another important part of USDD’s growth is its “multi-chain direction”.
USDD already operates across:
→ TRON
→ Ethereum
→ BNB Chain
And this matters more than people realize.
Because the future of DeFi will not live on one chain.
Liquidity moves.
Users move.
Applications move.
Stablecoins that cannot move efficiently across ecosystems eventually become limited infrastructure.
USDD is clearly positioning itself for a more connected multi-chain future.
Then comes one of its most underrated features: “The Peg Stability Module (PSM)”.
Most users don’t fully appreciate how important this is until volatility arrives.
The PSM enables 1:1 stablecoin swaps with minimal friction and no slippage, helping strengthen redemption efficiency across the ecosystem.
In simple terms:
it improves liquidity confidence.
And confidence is everything for stablecoins.
What’s interesting is that USDD is also expanding beyond traditional DeFi narratives.
The ecosystem is now integrating:
→ AI tooling
→ machine-readable LLM documentation
→ MCP support
→ AI-agent compatibility
This suggests USDD isn’t only thinking about current DeFi users, it’s preparing for machine-driven financial interaction too.
And honestly?
That may become one of the most important shifts in Web3 over the next few years.
At its core, USDD seems to be moving toward something larger than “a stablecoin.”
It’s becoming:
• liquidity infrastructure
• yield infrastructure
• cross-chain infrastructure
• AI-compatible infrastructure
all at once.
Of course, long-term success will still depend on execution, adoption, and resilience through market cycles.
But the direction itself is what makes USDD worth paying attention to.
Because in the next phase of DeFi, the stablecoins that survive likely won’t be the ones that simply stay pegged.
They’ll be the ones that become essential infrastructure for the entire ecosystem.
And @USDD - Decentralized USD is clearly trying to build exactly that.
Website: usdd.io
@@Justin Sun孙宇晨 #TRONEcoStar

Two very different companies.
But together, they explain where the modern economy is heading.
@SunX_DEX just listed:
$MRVL / USDT → Marvell Technology
$WMT / USDT → Walmart
Each tracking its underlying stock 1:1
With up to 10X leverage 📈
At first glance:
One builds semiconductor infrastructure.
The other runs global retail.
But the deeper connection is this:
Both are scaling systems designed around massive operational efficiency.
$MRVL — 𝐓𝐡𝐞 𝐀𝐈 𝐃𝐚𝐭𝐚 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐋𝐚𝐲𝐞𝐫
Marvell sits inside the invisible machinery powering modern compute.
Think:
• AI networking
• cloud infrastructure
• data center acceleration
• custom silicon systems
As AI demand increases, the need to move data efficiently becomes critical.
That’s where companies like Marvell absorb value.
$WMT — 𝐓𝐡𝐞 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 𝐋𝐚𝐲𝐞𝐫
Walmart isn’t just retail anymore.
It’s a global distribution engine.
What makes Walmart powerful is not just products.
It’s infrastructure:
• logistics
• supply chains
• fulfillment systems
• consumer scale
And increasingly:
data + automation.
𝐖𝐡𝐚𝐭 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐬 𝐁𝐨𝐭𝐡?
Different industries.
Same evolution:
The world is rewarding companies that optimize movement.
For Marvell: movement of data.
For Walmart: movement of goods.
That’s the hidden pattern.
And now both become tradable in a crypto-native environment.
24/7 access.
Instant positioning.
No traditional market limitations.
Trade here 👇
MRVL/USDT: https://www.sunx.io/futures/exchange/MRVL-USDT
WMT/USDT: https://sunx.io/futures/exchange/WMT-USDT
The next generation of market leaders may not just sell products.
They may control the systems that move the world more efficiently.
@@Justin Sun孙宇晨 #TRONEcoStar

Three different companies.
One shared theme:
infrastructure for the next technological cycle.
@SunX_DEX just listed:
$COHR / USDT → Coherent
$RKLB / USDT → Rocket Lab
$WDC / USDT → Western Digital
Each tracking its underlying stock 1:1
With up to 10X leverage 📈
At first glance, these look unrelated.
But zoom out and they sit inside three critical layers of the future economy.
$COHR — 𝐓𝐡𝐞 𝐏𝐡𝐨𝐭𝐨𝐧𝐢𝐜𝐬 𝐋𝐚𝐲𝐞𝐫
Coherent operates where modern systems become faster and more connected.
Think:
• lasers
• optical networking
• advanced semiconductors
• industrial photonics
As AI and data infrastructure scale…
The demand to move information faster becomes critical.
That’s where companies like Coherent matter.
$RKLB — 𝐓𝐡𝐞 𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐒𝐩𝐚𝐜𝐞 𝐋𝐚𝐲𝐞𝐫
Rocket Lab represents something bigger than rockets.
It’s part of the shift toward:
• privatized space infrastructure
• satellite deployment
• defense-tech expansion
• orbital services
Space is no longer just exploration.
It’s becoming an economic layer.
$WDC — 𝐓𝐡𝐞 𝐃𝐚𝐭𝐚 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 𝐋𝐚𝐲𝐞𝐫
AI creates massive amounts of data.
Someone has to store it.
Western Digital sits inside:
• enterprise storage
• cloud infrastructure
• memory systems
• long-term data scaling
Which means as compute grows storage demand compounds with it.
𝐖𝐡𝐚𝐭 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐬 𝐀𝐥𝐥 𝐓𝐡𝐫𝐞𝐞?
Different industries.
Same macro trend:
The world is demanding more:
• data movement
• data storage
• infrastructure expansion
And now these narratives are tradable inside a crypto-native environment.
24/7 access.
Instant positioning.
No traditional market barriers.
Trade here 👇
COHR/USDT: https://www.sunx.io/futures/exchange/CHOR-USDTRKLB/USDT: https://www.sunx.io/futures/exchange/RKLB-USDT
WDC/USDT: https://sunx.io/futures/exchange/WDC-USDT
The next market cycle may not just reward consumer apps.
It may reward the infrastructure powering the future behind the scenes.
@@Justin Sun孙宇晨 #TRONEcoStar

Three different industries.
One shared pattern:
The market is rewarding platforms that sit between users and infrastructure.
@SunX_DEX just listed:
$PAYP / USDT → PayPay
$HIMS / USDT → Hims & Hers Health
$CRWV / USDT → CoreWeave
Each tracking its underlying stock 1:1
With up to 10X leverage 📈
At first glance, these companies look unrelated.
They’re not.
$PAYP — 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞
PayPay represents the shift toward:
• cashless systems
• embedded finance
• digital consumer ecosystems
Payments are no longer just transactions.
They’re becoming behavioral infrastructure.
$HIMS — 𝐂𝐨𝐧𝐬𝐮𝐦𝐞𝐫𝐢𝐳𝐞𝐝 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞
Hims & Hers changed the model:
Healthcare delivered like a modern internet platform.
Not just treatment.
But:
• subscriptions
• accessibility
• direct-to-consumer scaling
It’s healthcare rebuilt around distribution and convenience.
$CRWV — 𝐀𝐈 𝐂𝐨𝐦𝐩𝐮𝐭𝐞 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞
CoreWeave sits directly inside one of the fastest-growing markets on earth:
AI compute demand.
As AI scales…
Cloud infrastructure becomes one of the most valuable bottlenecks.
That means:
• GPU access
• compute scaling
• AI infrastructure leasing
Become major economic layers.
𝐖𝐡𝐚𝐭 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐬 𝐀𝐥𝐥 𝐓𝐡𝐫𝐞𝐞?
Different sectors.
Same macro trend: platformization
The companies capturing value today aren’t just selling products.
They’re building systems people continuously depend on.
And now those systems become tradable inside a crypto-native market.
24/7 access.
Instant positioning.
No traditional market friction.
That’s the deeper evolution SunX is pushing toward.
Trade here 👇
PAYP/USDT: https://www.sunx.io/futures/exchange/PAYP-USDT
HIMS/USDT: https://www.sunx.io/futures/exchange/HIMS-USDT
CRWV/USDT: https://www.sunx.io/futures/exchange/CRWV-USDT
The future market leaders may not just be the best products.
They may be the platforms everything else starts depending on.
@@Justin Sun孙宇晨 #TRONEcoStar

most people still approach ai models as isolated products.
pick one model.
commit to one ecosystem.
adapt your workflow around its strengths and weaknesses.
but that structure becomes inefficient once ai moves into real production environments.
because different workloads require different forms of intelligence.
some tasks optimize for:
• speed
• latency
• concurrency
• cost efficiency
others optimize for:
• reasoning depth
• long context handling
• structured outputs
• workflow stability
no single model dominates every category consistently.
that is why unified model infrastructure is becoming increasingly important.
with four frontier models now live on the AINFT AI Service Platform:
→ GPT-5.5-Instant
→ DeepSeek-V3.2
→ MiniMax-M2.7
→ GLM-5.1
the focus is no longer just model access.
the focus is orchestration efficiency.
instead of forcing users to constantly switch ecosystems, APIs, interfaces, and billing structures, AINFT consolidates multiple frontier systems into one operational layer.
that matters more than people realize.
because once ai usage scales beyond experimentation, operational simplicity becomes a competitive advantage.
developers and users increasingly care about:
• reliability
• routing efficiency
• workflow continuity
• cost predictability
• scalable deployment environments
not just benchmark performance.
the addition of both web chat and api accessibility also signals an important shift.
the platform is positioning itself for two parallel user groups:
• casual and exploratory users
• production-grade developers and agent builders
that dual structure is important because the future ai economy will likely depend on both:
easy access for adoption,
and stable infrastructure for execution.
the larger trend here is clear.
ai platforms are evolving from single-model destinations into unified compute environments where intelligence becomes modular, scalable, and dynamically selectable depending on task requirements.
in the long run, the platforms that simplify access to multiple forms of intelligence may become more valuable than platforms built around only one model narrative.
Try it now: chat.ainft.com/chat
@@Justin Sun孙宇晨 #TRONEcoStar

most ai platforms still force users into rigid pricing structures that rarely match how people actually build.
light users overpay for unused capacity.
power users run into hidden limitations.
developers scaling production workloads get trapped between throttling and unpredictable costs.
but compute demand is not uniform.
different stages of ai adoption require different economic models.
that is why B.AI’s structure is interesting.
instead of treating every user the same, the platform separates access into two operational paths:
• pay-as-you-go flexibility
• subscription-based scale
the pay-as-you-go model works because experimentation in ai is highly nonlinear.
some users may only need occasional inference, testing, or lightweight workflows.
forcing those users into fixed subscriptions creates unnecessary friction.
with usage-based billing:
• costs remain proportional to activity
• model access stays flexible
• experimentation becomes easier
• onboarding friction decreases
the temporary 1:1 top-up bonus and reduced model pricing further lower the execution cost barrier, which matters significantly as agents and workflows become more persistent.
but the more important layer may be the subscription architecture.
because once users transition from exploration into production, the optimization target changes completely.
at that stage, users care less about trying models and more about:
• stable throughput
• uninterrupted execution
• large context operations
• scalable workloads
• predictable infrastructure access
that is where higher-tier plans become structurally important.
plans like Pro and Max are not simply “premium subscriptions.”
they are compute environments designed for sustained operational intensity.
especially as ai workflows increasingly involve:
• long-context reasoning
• multi-agent coordination
• persistent automation
• large-scale generation
• continuous backend execution
the larger shift here is that ai infrastructure is slowly beginning to resemble cloud infrastructure.
users are no longer just chatting with models.
they are building systems on top of them.
and once that transition happens, pricing stops being a simple monetization layer.
it becomes part of the infrastructure design itself.
the platforms that scale long term will likely be the ones capable of aligning compute economics with real-world usage behavior — from casual experimentation all the way to production-grade autonomous execution.
@@Justin Sun孙宇晨 #TRONEcoStar

most people still evaluate ai platforms based on headline numbers.
total users.
traffic spikes.
temporary hype cycles.
but those metrics rarely explain whether an ecosystem is actually becoming sustainable.
the more important signal is how usage behavior evolves over time.
that is where the recent activity on b.ai becomes interesting.
glm-5 has now regained the leading position in overall model consumption, while deepseek and the gpt series continue maintaining strong momentum close behind.
but the real shift is not about which model is leading.
it is about the distribution itself.
users are no longer clustering around one dominant system.
instead, consumption is spreading across multiple models depending on:
- reasoning requirements
- latency preferences
- workflow design
- pricing efficiency
- context needs
this usually happens when a platform matures beyond experimentation.
early-stage ecosystems often revolve around hype-driven concentration.
mature ecosystems begin developing specialized usage behavior.
different models start serving different operational roles.
that diversification matters because it reduces dependence on a single intelligence layer and creates a more resilient execution environment overall.
the monetization data reinforces this transition.
paid usage has now reached 96.4%, while higher-value participation and core paid consumption continue trending upward.
that changes the interpretation of growth completely.
rather than relying on passive signups or speculative activity, the platform appears to be attracting users who are actively integrating ai into recurring workflows and production-level systems.
infrastructure platforms usually become stronger when:
- noise decreases
- retention improves
- monetization stabilizes
- usage becomes operational instead of experimental
that is often the phase where ecosystems stop behaving like temporary products and start behaving like foundational layers.
as ai adoption expands, the platforms that survive long term will probably not be the loudest ones.
they will be the ones capable of sustaining real usage, diversified demand, and continuous economic activity underneath the surface.
#AI #Bai #GPT #DeepSeek #GLM5 #ArtificialIntelligence
@@Justin Sun孙宇晨 #TRONEcoStar

𝗗𝗲𝗙𝗶 𝗴𝗿𝗼𝘄𝘀 𝗶𝗻 𝗹𝗮𝘆𝗲𝗿𝘀.
𝗡𝗲𝘄 𝗺𝗮𝗿𝗸𝗲𝘁𝘀 𝗱𝗼𝗻’t 𝗷𝘂𝘀𝘁 𝗮𝗱𝗱 𝗮𝘀𝘀𝗲𝘁𝘀.
𝗧𝗵𝗲𝘆 𝗮𝗱𝗱 𝗻𝗲𝘄 𝗳𝗹𝗼𝘄𝘀 𝗼𝗳 𝗰𝗮𝗽𝗶𝘁𝗮𝗹.
JustLend DAO has launched Proposal #39 to introduce the HTX Market.
If approved, HTX will become a supported asset within the lending ecosystem.
𝗪𝗛𝗔𝗧 𝗧𝗛𝗘 𝗣𝗥𝗢𝗣𝗢𝗦𝗔𝗟 𝗜𝗡𝗖𝗟𝗨𝗗𝗘𝗦
The proposal introduces:
• HTX/TRX price oracle
• support for jHTX
• collateral factor set at 50%
• reserve factor set at 30%
These parameters define how HTX integrates into the broader risk and liquidity framework.
𝗪𝗛𝗔𝗧 𝗜𝗧 𝗨𝗡𝗟𝗢𝗖𝗞𝗦
If passed, HTX holders will be able to:
• supply HTX to earn yield
• use HTX as collateral
• borrow other assets against their position
This expands strategic flexibility across the platform.
𝗪𝗛𝗬 𝗜𝗧 𝗠𝗔𝗧𝗧𝗘𝗥𝗦
Adding new markets does more than increase token support.
It can:
• deepen liquidity
• diversify borrowing activity
• broaden collateral options
• improve capital efficiency across the system
Each new asset adds another layer of market interaction.
𝗧𝗛𝗘 𝗥𝗜𝗦𝗞 𝗦𝗜𝗗𝗘
The collateral factor matters.
At 50%, users can unlock liquidity while maintaining a controlled risk structure.
Meanwhile, the reserve factor strengthens protocol resilience by allocating part of market revenue toward reserves.
Growth and risk management move together.
𝗧𝗛𝗘 𝗚𝗢𝗩𝗘𝗥𝗡𝗔𝗡𝗖𝗘 𝗟𝗔𝗬𝗘𝗥
This is also a reminder that governance remains active inside the JUST DAO ecosystem.
Markets evolve through community participation, not fixed structures.
That adaptability is part of what keeps DeFi systems competitive.
𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻
Every new market changes how liquidity flows.
The question is never just what asset gets added.
It’s what strategies become possible afterward.
🗳 Cast your vote or read the proposal:
app.justlend.org/voteDetailNew?…
Liquidity expands one market at a time.
@JUST DAO @@Justin Sun孙宇晨 #TRONEcoStar