Web Developer | Graphic Designer Web3 Community Manager | Growth Strategist. Just me, being me.
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- Following 867
- Followers 667
- Likes 2,146
Younggold retweeted
FAMILY, CHECK YOUR PORTFOLIOS 👀
Your welcome bonus is waiting. Check your balance and see when it unlocks.
A little something from us to get you started.
revenue.family/#portfolio
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Younggold retweeted
The interesting part of @vangrid_io isn’t just collecting 3D data from smartphones. It’s how that data moves from capture to something AI can actually work with. 👀
📱 Capture: Contributors record real-world environments using their phones.
🧩 Reconstruction: VanGrid turns capture videos into 3D models that represent physical spaces.
🔐 Verification: Its on-chain infrastructure records capture provenance, helping establish where and when data was submitted.
💰 Real demand: Buyers can post funded bounties for specific 3D captures, with payments handled in USDC on Base or Arc.
This creates a practical loop: someone needs spatial data, contributors capture it, and buyers can review the results before accepting.
For Physical AI, the challenge isn’t just collecting more data. It’s getting the right data, from the right places, in a format machines can use.
That’s the infrastructure layer I’m watching with VanGrid. 🌐
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Younggold retweeted
GM gSLEEP ☀️
There's something about the GM ritual that hits different when it's tied to something real.
Every morning, thousands of people wake up, check their Sleepagotchi score, and drop a GM in the timeline. It's not just a greeting. It's a checkpoint. A tiny daily proof that you showed up, slept, and came back.
That's the culture around gSLEEP.
It's not forced. It's not hype for the sake of hype. It's a community that actually uses the product. 500K+ registered users. ~80K daily actives. People waking up, checking their Sleep Coach insights, and building a habit loop without even thinking about it.
The GM becomes part of the routine.
And that routine is the foundation for something bigger. Gotchi Labs is expanding into new verticals Commerce, Fitness, Productivity, Personal AI. $CHI will connect it all. But it starts here, with a simple morning ritual.
Sleep well. Wake up. Check your score. Say GM.
Small habits compound. And a community that actually uses the product is the strongest signal in Web3.
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Younggold retweeted
FINALLY MADE ONE MILLION DOLLARS FROM A FCKING MEMECOIN.
As promised,
I want to change someone's life and send 200,000 $SI (~$10,000) to one person by tomorrow.
Just like, retweet and comment " $SI "
Random winner in 15 hrs
Whale Scan
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Younggold retweeted
Let’s give $200 to 5 of my reply guys.
Just follow @MrketInsider
Must RT
Comment your solana address.
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Younggold retweeted
Calling all AI Engineers: the Telegraph Hackathon is open.
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Younggold retweeted
DeFi is getting more fragmented.
Different chains. Different liquidity pools. Different routes. Different interfaces.
That’s where STON.fi becomes interesting.
Instead of making users think about every step behind a swap, STON.fi focuses on making the experience feel much simpler on the front end.
With its DEX infrastructure and Omniston routing layer, users can access liquidity across TON, TRON and EVM ecosystems while the infrastructure handles the complexity underneath.
The bigger idea isn’t just “swap tokens.”
It’s making fragmented liquidity feel more connected.
As more liquidity and chains enter the onchain economy, infrastructure that can intelligently route that liquidity becomes increasingly important.
That’s the part of STON.fi I’m watching. 🧘
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Younggold retweeted
Good evening, CT 🌆
A little break, a little scrolling,
then back to the grind. ☕️👀
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Younggold retweeted
A phone recording is only the starting point.
What matters is what @vangrid_io can turn that recording into.
→ Capture the location
→ Review through an Orbit preview
→ Reconstruct it into a GLB model
→ Package the usable spatial data
That’s a very different product from simply collecting videos.
For Physical AI, the useful part isn’t just seeing a place — it’s getting structured 3D data that can actually be used by machines.
Even the capture conditions matter. Poor lighting can mean weaker reconstruction, which is why daylight isn’t just a preference here.
The more I look at Vangrid, the more the data pipeline stands out. 👀
Good afternoon☀️
The more I look into @vangrid_io, the more I think the interesting part is that this is already operating.
Not just a concept waiting for a network to exist.
Vangrid already has:
→ a live spatial network
→ real 3D captures
→ USDC bounties and payouts
→ checks before a capture gets accepted
The bounty model is pretty simple too.
A requester funds the job in USDC → someone captures the location → Vangrid checks the submission → accepted data becomes a textured 3D model → the contributor gets paid.
One example from the docs:
$50 bounty = $5 platform fee + $5 reconstruction + $40 to the contributor.
And the bigger reason this matters is Physical AI.
Robots can get better at moving, but they still need current data about the places they operate in.
That makes a network collecting fresh spatial data from the real world pretty interesting to watch. 👀
@vangrid_io
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Younggold retweeted
Quantum hardware is getting more powerful, but developers still have a basic problem:
Different machines can mean different tools, code and assumptions.
That’s why the idea behind @quipnetwork’s XQuad caught my attention.
The goal is simple:
Write the optimization problem once → compile it to XQVM bytecode → run the same workload across different backends.
CPU, NVIDIA GPU, Apple Silicon, D-Wave or Quip Network.
If that actually holds up as the hardware gets more diverse, quantum computing becomes less about choosing a specific machine and more about choosing the compute you need.
Still early and pre-v1, so API and bytecode stability will be important.
But “write once, solve anywhere” is an interesting direction. 👀
What if you didn’t have to pay for compute that fails to give you a useful answer?
That’s an interesting shift in how @quipnetwork is approaching quantum compute.
Instead of simply paying for machine time, Quip is building toward a model where:
→ You submit a problem
→ Solvers compete to handle it
→ Results are checked
→ Payment goes to a result that clears the required bar
I think this changes the incentive structure in a meaningful way.
The real value of compute isn’t how long a machine runs.
It’s whether the computation actually solves the problem.
That’s the part of Quip I’m watching. 👀
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Younggold retweeted
Woke up to this from $2
@web3righteous
Hope yall bagged????
$pink will do 100×
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