Content creator | Graphics designer | Project Manager | Community Mod | Raider
Joined July 2025
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Finally completed my design portfolio! 🥹😌
Omo, this one feels good. 😭
I procrastinated, did my research, took my time, made adjustments, and kept working on it until I was satisfied.
It took longer than I expected, but I’m glad I didn’t rush the process.
One thing this taught me? Sometimes, you just need to stop overthinking and finish what you started.
The portfolio is finally DONE. 🥂
Now, it’s time to put my work out there.
behance.net/gallery/25713244…
Packard retweeted
AI development is moving fast, but the systems responsible for tracking the data behind it need to keep up.
Think about what happens before an AI model is trained.
Large volumes of information have to be sourced, organized, and evaluated.
Developers need to understand what their datasets contain, where the material originated, and what conditions apply to its use.
Doing this at scale presents a serious challenge.
When data records are incomplete or difficult to verify, developers can struggle to establish trust in their datasets.
Contributors, meanwhile, may have little insight into what happens to the information they provide.
This is an infrastructure problem, and solving it requires more than simply collecting additional data.
That is the direction DATA Foundation is exploring with its DATA Network and Trace registry.
Trace is designed to create a record of data contributions and their provenance, helping make information about data origins and associated rights easier to inspect.
The next development is the integration of @datafdn Network and Trace into the @SuiNetwork ecosystem.
Sui brings the blockchain infrastructure, while Walrus is set to serve as the default storage layer for DATA Foundation applications.
Each component has a distinct role in the broader approach recording information about data contributions, providing blockchain infrastructure, and supporting decentralized storage.
The goal is to build a stronger foundation for tracking data throughout the AI supply chain.
Of course, records alone cannot guarantee that every dataset has the necessary permissions.
Those permissions still need to be established and respected.
But better infrastructure can make provenance easier to verify and help developers make more informed decisions about the data they use.
As AI continues to evolve, the infrastructure supporting its data economy deserves just as much attention as the models themselves.
#DATAonSuiQuest
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.
Packard retweeted
Honestly, nothing beats building something genuine.
When you see a team putting resources back into its ecosystem, it shows a commitment to building something beyond short term hype.
How many projects have you seen where the team buys back its own token and redistributes it to the community?
Well, the $FARTKMM team has been executing Reverse Extraction,
using its own capital to buy back the token and redistribute it as rewards through its games and contests.
If only more projects understood that building a strong ecosystem means giving the community more reasons to stay involved.
@fartkmmonsolana is clearly on the right track.
Meanwhile, all these claims can be verified at proofofgas.fartkmm.com ,where anyone can check every move.
I'd love to see things like this become the norm in the space.
Packard retweeted
I’ve been scrolling through crypto Twitter and keep running into the same thing.
People post a clean PnL screenshot, talk about their edge, and then try to sell a group or signals. The problem is you never actually see the full picture.
That’s when I stumbled on @invoxyz.
It’s a Hyperliquid-powered social trading app where every trade (wins and losses) is permanent and can’t be deleted. They score traders from 1–10 using profitability, risk, consistency, and track record instead of just a green PnL screenshot.
You can browse real histories, check the Invo Score, and mimic positions in one tap if you want. The whole point is that you actually see how someone performs when the market gets messy like this.
Still digging into it, but the transparency is refreshing. Made a video walkthrough navigating the app below ↓
Check it out here: invoapp.com
They also post tutorials on
YouTube: [youtube.com/@invoapp]
Instagram: [instagram.com/invo]
Packard retweeted
Digital mining is becoming more than just mining.
one thing about exploring new ways to earn in crypto is discovering that the earning feature is only part of what a platform has to offer.
beyond the earning model, the bigger picture is how the pieces come together to create an ecosystem people can participate in.
and that’s exactly what @eagletop3compan brings to the table.
Eagle is a Nigerian platform built around digital mining, with its own in-platform token, Eagle Coin, at the centre of its ecosystem.
the idea starts with digital miner plans. users choose a plan that runs for a specified period, generating rewards in Eagle Coin as it operates.
but the ecosystem doesn’t stop at generating rewards.
Eagle Coin connects the mining side to the rest of the platform. users have a dedicated coin wallet, ways to transfer coins to other users, options to sell them back to EAGLE, and supported services where the coins can be used.
there’s also a community participation layer, with referral rewards and social tasks giving users other ways to engage with the ecosystem.
so, EAGLE brings digital mining, an internal token economy, and community participation together in one platform.
if you’re curious about how it all works, visit eagletop3.com, check out the available miner plans, and join the EAGLE Telegram community to learn more about the platform.
🤝 Paid partnership · 🤖 Made with AI
Packard retweeted
One of the interesting things about technology is how it keeps changing the way people participate in industries that once felt out of reach.
Bitcoin mining is a good example.
When people hear about mining, they often picture warehouses filled with expensive machines, huge electricity bills, and the technical knowledge needed to keep everything running.
But what if someone wants to explore mining without setting up all that hardware themselves?
That’s where cloud mining comes in.
I’ve come across a project called @eagletop3compan that’s built around this idea.
The platform offers mining plans that allow users to participate in its cloud-mining model, with rewards credited in Eagle Coin.
I’m taking a closer look at how it works, what its mining plans offer, and what anyone interested should understand before getting involved.
If you’ve ever been curious about cloud mining, this is worth exploring.
Take a look at the platform here: 👇🏻
🤖 Made with AI
