Supporting amazing projects. Mag9 || Story Seeker
web wide world
Joined March 2021
- Tweets7.1K
- Following1.4K
- Followers1.3K
- Likes12.8K
MaryC retweeted
Wow thank you for this amazing id card @Brian65233031
We are really family here on @SeismicSys
Light evening work for the community
Rolled out new rocky themed id cards for some seismic lovelies
@0xLordXeno
@Enny1124
@Ifeeomaa
@glorykurofuo
If you want one dm me with the requirements
Gmic to those who still gmic
Tags : @xplanettt @NoxxW3 @xealistt
MaryC retweeted
Nice to see another use case opening up for $rkuSOL.
PT-rkuSOL is getting more utility across Solana DeFi.
You can now buy it on Exponent and use it as collateral on Kamino to borrow SOL.
The new maturity is January 14, 2027, with 95% LLTV.
I like seeing rkuSOL become useful across different DeFi platforms instead of just sitting in a wallet.
More options for holders to explore. 🐉
@raikucom @mrahsok @duckk9x
I found the Spread Networks story pretty interesting.
Back in 2010, a company spent a huge amount of money building a shorter fiber route between Chicago and New Jersey just to save a few milliseconds.
That tells you how much timing matters in trading.
And it's not really different on Solana. Even when everything happens onchain, the distance between a decision and execution still matters.
This is one reason I'm interested in what @raikucom is building.
Reducing that gap could make a real difference for time-sensitive trading strategies.
@raikucom @duckk9x @mrahsok
MaryC retweeted
rkusol is making its way up the solana lst leaderboard 👀
> $rkuSOL is now ranked
#10 among 237 lsts.
> 4.81% apy
> 176,076.7 sol staked
> 1,163 holders
but
there's more.
rkusol is now live on @JupiterExchange
you can now borrow usdc against raiku's liquid staking token while continuing to earn staking yield.
> up to 75% ltv.
another step forward for @raikucom's ecosystem.
worth keeping an eye on rkusol.
@duckk9x @ZhugeLyang
Wow thank you for this amazing id card @Brian65233031
We are really family here on @SeismicSys
Light evening work for the community
Rolled out new rocky themed id cards for some seismic lovelies
@0xLordXeno
@Enny1124
@Ifeeomaa
@glorykurofuo
If you want one dm me with the requirements
Gmic to those who still gmic
Tags : @xplanettt @NoxxW3 @xealistt
Beautiful art
My hollow heart finds it hard to trust unless it's private and secured with @SeismicSys
#ROCKYHalloween
MaryC retweeted
remember when @RialoHQ shared Stonk Crush a while back?
thought it was worth bringing this one back because there's an interesting idea behind it.
what is Stonk Crush? let's me breakdown it .
it's a proof-of-concept market terminal running on Rialo's devnet, showing 1,337 live tickers.
> how does it work?
> fetches live market data directly from the web.
> verifies the data onchain.
> settles it without external oracles.
> no separate keeper bot involved.
>>>>>
why does this important tho ?
most chains rely on external oracles to bring real-world data onchain.
Rialo is exploring a way to handle this natively, without adding another layer of infrastructure.
but let's be realistic.
▪︎ it's still a devnet experiment.
▪︎ it's not a real trading platform.
▪︎ no real-money market settlement.
▪︎ devnet performance doesn't guarantee performance at scale.
my genuine take >
the idea is genuinely interesting.
if Rialo can make native web data fetching reliable under real-world conditions, it could unlock some interesting possibilities for onchain applications.
the demo is cool, but seeing it work reliably at scale is what i'm looking forward to.
worth keeping on the radar.
Tags | @RialoHQ | @dfwdora
They said it couldn’t exist. So we built it.
Rialo Stonk Crush: a proof of concept real time onchain market terminal.
Tracking 1337 live tickers, verified & settled natively onchain - with sub second proofs & zero oracles.
Live on Rialo devnet today: 1337.rialo.io/
MaryC retweeted
🚀 Just completed the @StartaleApp October Mission!
Sharing my experience to help others understand how to complete both tasks.
Task 1: Earn 100 STAR Points
1. Head to the Deposit section.
2. Select the Base network.
3. Copy the bridge deposit address.
4. Send at least $25 USDC from Base to that address.
5. After successful confirmation, your funds will be bridged to Soneium as USDC.e.
Task 2: Earn Another 100 STAR Points
1. Go to the Swap section.
2. Swap USDC.e for USDSC on Soneium.
3. Open the USDSC Vault.
4. Deposit at least $25 worth of USDSC.
5. Keep at least $25 in the vault for 14 consecutive days.
Once the holding period is completed, you'll qualify for another 100 STAR Points.
🎯 Total Potential Rewards: 200 STAR Points!
📅 Campaign Deadline: November 25, 2026, at 11:00 UTC.
Two tasks, 200 potential STAR Points, and another chance to explore the @StartaleApp ecosystem.
If you're participating, make sure to double-check every transaction before confirming.
Let's keep exploring and building! ⭐
@StartaleGroup @0xRamz
Honestly, I think getting started with Web3 is only the beginning.
The bigger question is, what do you do next?
You might get onchain, but then you need to figure out which apps to try, what's actually useful, and how everything works together. For someone new, that can feel a bit overwhelming.
That's why I find @StartaleApp interesting. Making it easier for people to explore the Soneium ecosystem could help make the whole experience feel more natural.
I don't think Web3 adoption is just about bringing more people in. It's also about giving them a reason to stay, explore, and find something useful for themselves.
There's still a lot to improve, but I think making things simpler is a good place to start.
Curious to see how @StartaleApp develops from here. 🌐
@StartaleGroup
MaryC retweeted
primus just added 6 tasks and nobody’s talking about it
agentic era went from 8 to 14 tasks.
25 are live across 3 categories now.
your reputation score tracks all of it.
dashboard → s.kaito.ai/5eQPfUF
here’s the part people skip:
every zkTLS proof you make means you’re actually using the product.
you prove something is real and the data behind it stays hidden. that’s what @primus_labs is built on, and the tasks have you doing it live.
institutions want verification without exposure before they go onchain at size. that’s not a narrative, it’s infra. primus is building it.
so while everyone scrolls past “tasks”, you could be stacking reputation early.
@primus_labs
the part of Primus Labs I find genuinely interesting isn't just zkTLS.
it's how the project separates proving data from proving what was done with that data.
—
think about it.
a website can provide information, but how can an application know that the information is authentic?
and even if the data is genuine, how can it verify that the final calculation was correct?
~
this is where @primus_labs ' DVC architecture gets interesting.
zkTLS verifies the authenticity of off-chain data.
zkVM handles the computation and generates a proof that the required logic was executed correctly.
< the two work together, but they don't have to be handled by the same system.
Primus also supports integrations with external proving environments such as Succinct and Brevis.
—
a practical example
imagine a lending protocol needs to verify whether someone's bank balance meets a certain requirement.
zkTLS authenticates the bank data.
zkVM checks whether the balance meets the required condition.
the resulting proof can help establish that the condition was met without exposing the user's complete financial information.
~
why does this matter?
data authenticity and computational correctness are two different problems.
solving only one doesn't automatically solve the other.
< this separation of responsibilities is what makes Primus' architecture interesting.
it's not just about bringing web data onchain.
it's about making off-chain information useful in applications without asking users to blindly trust the entire process.
and honestly, this is one of the more underrated parts of @primus_labs
join here: s.kaito.ai/5eQPfUF
It was really good having to attend the Nigerian @SeismicSys space called
Gmic spaces by @landersonly1, @adewalearobieke and @PhilipAkpamgbo
MaryC retweeted
i don't usually apply for ambassador programs unless i genuinely believe the project is serious and has quality
and it's been a while since i applied for one imo
guess it's god's plan >33
@Rivr_DEX second ambassador batch is now open, and i've applied for the riverbex ambassador program this time.
wanna know why?
because river is looking for creators who are:
- genuinely interested in the product and ecosystem
- willing to create original content
- actually contributing something valuable to the community
and they're clearly against
AI slop,
farmers
larpers.
honestly, that's exactly what we need isn't it? Just saying 😆)
i'm genuinely interested in river and i'm going all in on this one.
wish me a luck lol 🫶🏻/
[ Wanna apply ? Check the quote post tysm . ]
Applications are open for Cohort 2 of the RivrDEX Ambassador Program.
Cohort 1 had 1,400+ apply, and we selected 15. Same bar this time.
Who we’re looking for:
🔹 People who write about RivrDEX in their own voice, not copied from announcements
🔹 Active in Discord and X regularly, not just when a campaign is live
🔹 Able to help new users figure things out without us needing to script it
🔹 Genuinely interested in the product and the ecosystem, not just in rewards
Who this isn’t for?
Anyone applying because they heard “future airdrop.” The program is about building the community, not farming it.
What you get:
🔹 Monthly USDT payouts, scaled by contribution
🔹 Private ambassador channel with direct team access
🔹 Exclusive Discord role
🔹 First look at new features before they ship
🔹 Direct line on what’s coming before it’s public
Cohort 1 has set a real standard. User guides at docs-quality. Honest first-swap walkthroughs. Reframes of how DeFi UX actually works. We want more of that.
Deadline to fill out the form is November 7.
If this sounds like you, apply here - forms.gle/K8NxBgWrgS4AyYD3A
MaryC retweeted
the part of Primus Labs I find genuinely interesting isn't just zkTLS.
it's how the project separates proving data from proving what was done with that data.
—
think about it.
a website can provide information, but how can an application know that the information is authentic?
and even if the data is genuine, how can it verify that the final calculation was correct?
~
this is where @primus_labs ' DVC architecture gets interesting.
zkTLS verifies the authenticity of off-chain data.
zkVM handles the computation and generates a proof that the required logic was executed correctly.
< the two work together, but they don't have to be handled by the same system.
Primus also supports integrations with external proving environments such as Succinct and Brevis.
—
a practical example
imagine a lending protocol needs to verify whether someone's bank balance meets a certain requirement.
zkTLS authenticates the bank data.
zkVM checks whether the balance meets the required condition.
the resulting proof can help establish that the condition was met without exposing the user's complete financial information.
~
why does this matter?
data authenticity and computational correctness are two different problems.
solving only one doesn't automatically solve the other.
< this separation of responsibilities is what makes Primus' architecture interesting.
it's not just about bringing web data onchain.
it's about making off-chain information useful in applications without asking users to blindly trust the entire process.
and honestly, this is one of the more underrated parts of @primus_labs
join here: s.kaito.ai/5eQPfUF
bnb chain already has users, liquidity, and speed.
but institutional capital needs one more thing
> privacy.
every wallet balance, transfer amount, and vault position is visible on a public blockchain.
> for businesses and funds, that transparency can expose financial strategies and invite copy-trading.
this is where @primus_labs comes in.
instead of moving liquidity to another chain, primus aims to bring confidentiality to the infrastructure that already works.
• encrypted stablecoins backed 1:1
• private transaction amounts
• confidential vault deposits
• verifiable offchain data through zkTLS
powered by fully homomorphic encryption (fhe)
the idea is simple: compute on encrypted data without decrypting it first.
- public rails
- private numbers
- verifiable claims
the next stage of onchain finance isn't just about moving capital faster.
it's about giving institutions the privacy they need to move capital onchain.
join here: s.kaito.ai/5eQPfUF
MaryC retweeted
liquid is slowly making its place in the perp trading space.
just look at the numbers from defiLlama:
> $760.56M perp volume in the last 30 days
> $268,398 in revenue
> $930,456 DEX notional volume
> $372,993 DEX volume
> $25.6M raised so far
these numbers show that people are already trading on Liquid, and the project is generating revenue.
the interesting part is that many people are still not paying attention to it.
sometimes the best opportunities are the ones people haven't started talking about yet.
keep an eye on @liquidtrading
> you might be missing something good.
MaryC retweeted
A dataset can be useful and still be unsuitable for AI training.
Think about it. Having access to information doesn't automatically mean you have permission to train a model with it.
And even when permission exists, how does a buyer establish where that information came from or whether the conditions attached to it have been respected?
These are questions that should be addressed throughout the data lifecycle, not only when a dataset is ready to be sold.
This is where @datafdn's approach with Trace becomes relevant.
Recording contributions and their associated provenance and licensing information creates a way to examine the journey of data instead of relying entirely on assurances from whoever supplies it.
With DATA preparing to run natively on @SuiNetwork, the goal is to support this process with infrastructure capable of handling growing volumes of data activity.
I think the real value of a transparent data lifecycle is that it makes accountability part of the process.
Because the quality of AI training data shouldn't be judged by its usefulness alone. Whether that data was obtained and licensed appropriately matters too.
MaryC retweeted
AI companies are spending enormous resources building models, but how much attention is being paid to the people and businesses supplying the information those models learn from?
A company might contribute valuable data today, only to see it circulate through different hands tomorrow with little visibility into who is using it or under what terms.
That's a problem worth addressing before the AI data market grows even larger.
The announcement from @datafdn about joining @SuiNetwork points toward an approach where data doesn't have to lose its history as it becomes part of an AI training pipeline.
With Trace already recording over 250 million receipts, DATA isn't starting from an empty page. There's an existing system for documenting contributions, and the planned integration with @WalrusProtocol adds a storage layer that could strengthen how original data is preserved and accessed.
What matters here is the relationship between those contributing data and those benefiting from it.
If AI developers want reliable datasets, they should be able to examine their origins and licensing terms. Equally, contributors deserve a system where their participation can be documented rather than disappearing once their data leaves their hands.
There is still work to be done before that vision is fully realized, but connecting provenance, storage and rights management is a meaningful direction.
AI needs data to improve. Building a market where that data can be traced and properly licensed is just as important.
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
MaryC retweeted
AI developers when you remind them that publicly accessible data doesn't automatically mean permission to use it for training. 😭
That's why provenance and licensing matter.
@datafdn's Trace records the rights attached to contributed data, while @SuiNetwork and @WalrusProtocol are helping build the infrastructure to manage and verify it at scale.
#DATAonSuiQuest
🤝 Paid partnership
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
MaryC retweeted
One thing that can make a blockchain transition unnecessarily difficult is uncertainty.
People hear that a network is moving and immediately start wondering whether their tokens will disappear, whether they need to swap anything, or whether services will stop working.
That's why having a clear migration process matters.
With @datafdn preparing to bring DATA to @SuiNetwork, the important detail is that this isn't an overnight switch.
The existing network continues operating, holders don't need to take action right now, and the planned transition will preserve token balances on a 1:1 basis.
For anyone already participating in the ecosystem, that clarity is useful. It separates what has been announced from what still needs to happen.
The technical benefits of moving to Sui may be the bigger long term story, but the immediate responsibility is making sure users understand the process without confusion or unnecessary pressure.
A successful migration isn't simply one where the technology works.
It's one where people know what is happening, what remains unchanged, and when their involvement is actually required.
MaryC retweeted
Am in Abuja FCT 🇳🇬 preaching, promote @gamdom IRL.
entry for the #Gamdom100kRound2 of @gamdom challenge.
From SHOPPING MALLS to WATER FALLS and GAME MALLS, Everyone needs to understand @stevewilldoit @SirGamby @kingadukes steady changing life’s.
Made a music video @MTV standard quality.
we’re running # #Gamdom100kRound2 challenge BACK 👊🏿🙏🫡
10 people. $10,000 EACH.
make a 30+ second video promoting gamdom and post it with ##Gamdom100kRound2 .
ends november 5th. i’ll be quoting good videos and giving out A LOT of nibbles along the way. let’s see what you got
#Gamdom100kRound2
Must fight back when kicked down.
MaryC retweeted
Everyone's flexing how much data their AI can learn from.
But who's flexing where that data came from? 💀
250M+ provenance receipts already recorded by Trace.
Now @datafdn is joining the @SuiNetwork stack, with @WalrusProtocol providing the storage layer.
Different kind of flex.
#DATAonSuiQuest
🤝 Paid partnership
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
MaryC retweeted
with every previous airdrop, people were split on whether it was good or bad.
but this might be the first airdrop in history where mostly agrees it fucking sucks.
> airdrop attracts greedy people
> now community is equal to garbage 🗑️
> airdrop is just marketing technique and most projects failed to grab real user's
> Only whales & kols are the community
last not the least >
< all farmers all unitedly fcuked 💋>
Gn 🥀
The CT and crypto economy is fascinating because no matter how granular you go, there are still people trying to make some money at every level.
There are still people farming Discord roles for some L2 you've never even heard of, creators taking part in agency raffle deals, and people minting some random NFT project for a $1 USD flip.
That's beautiful, because even though this sounds like a waste of time to most of us, they're still making money in crypto that can impact their lives