
Web3 Content Creator | AI & Crypto Research. Exploring Web3, DeFi & emerging projects. DM for collaborations. https://xitter.cf/t.co/MHud7YgCRZ Ambassador At @moovexyz
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Joined July 2025
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The biggest winners in meme coin launches aren’t always the fastest bots. Sometimes, they’re the ones who control the supply before everyone else gets in.
A @zerufinance analysis of 8.2M Pump.fun launches reveals a massive gap between developers, bundled wallets, and sniper bots.
Developers and bundled wallets generated at least $579M, compared with $31.5M for sniper bots.
That’s an 18x difference.
The real edge isn’t just speed. It’s early access, supply concentration, and exit timing.
This is why on-chain transparency matters. Understanding who holds the supply can tell you more than watching the hype.
Explore here: app.zaps.wtf/?invite=f5zdjCk…
Burning tokens is one thing. Building a stronger ecosystem is the real test.
@grvt_io has completed its first GRVT buyback, purchasing 1.1 million tokens on the open market and permanently burning them.
That’s nearly 1% of the circulating supply at the time.
What I like most is the transparency. These tokens aren’t sitting in a treasury waiting to re-enter circulation. They cannot be recovered or reused by anyone, including Grvt itself. A public dashboard also allows anyone to track the buyback and verify onchain transaction hashes.
But the real story starts with what comes next: Grvt 2.0.
The vision is to make one self-custodial balance work harder by bringing earning and trading closer together.
From Grvt Earn targeting up to 11% yield to Stable Funding Perps and yield-bearing trading margin, the focus is on making capital more productive.
The feature I’m watching most closely is Yield as Margin. Imagine eligible assets continuing to generate yield while supporting your trading positions. If executed well, that could make capital management much more efficient.
Of course, yields aren’t guaranteed, and trading always carries risk.
The buyback is done. Now the focus shifts to execution, adoption, and the actual utility Grvt 2.0 delivers.
1.1M GRVT burned. The next chapter is about putting capital to work.
Bella🌸 retweeted
GM CT
AI agents are evolving fast, but what happens when they compete against each other?
That’s what makes @agentdojo interesting.
It’s an arena where you can train AI agents, watch them improve, and put their abilities to the test against other agents.
Now, @rarelistio is bringing an early-stage campaign to the community, creating an opportunity to get involved while the project is still growing.
Campaign dates: October 23 November 6.
Explore the campaign and get involved 👇
rarelist.io/r/bellaa_web3
Bella🌸 retweeted
Good Morning CT ☀️
Getting players to join a game is easy with rewards. Giving them a reason to stay is the real challenge.
That’s what makes @fomopoly_rh interesting to watch.
Built around city-building, virtual land ownership, and stock-market mechanics on Robinhood Chain, Fomopoly aims to create an experience where players can do more than just play and earn, with $DEAL powering part of its in-game economy.
Here’s what makes the concept worth exploring 👇
🏙️ Build a city that grows with you
Instead of playing a few rounds and leaving, players can work toward developing their cities and building something over time.
🌍 Make ownership part of the journey
Virtual land adds another layer, giving players plots to manage as they shape their place in the game.
📈 Turn every decision into strategy
With market mechanics involved, building, investing, and trading could add more depth than simply chasing the next reward.
But there’s one big question: Can Fomopoly keep players engaged when token incentives change?
We’ve seen this challenge before. Axie Infinity’s 2021 boom showed how quickly play-to-earn momentum can cool when economic incentives weaken.
Rewards might attract attention, but they can’t carry a game forever.
Players need meaningful progression, interesting decisions, social interaction, and a reason to come back even when rewards fluctuate.
If Fomopoly can make its city-building, land ownership, and market mechanics genuinely fun, rather than making rewards the entire experience, it could create something more sustainable.
For me, success won’t just be about how many players join at launch.
It’ll be about how many stay, keep building, and make the city their own.
Want to explore Fomopoly? Join here 👇
rarelist.io/r/bellaa_web3
Bella🌸 retweeted
What if the same decentralized network powering AI agents could also help them understand the real world?
That’s where the @vangrid_io × @teneo_protocol partnership gets interesting.
Teneo connects civilian devices to a live data network for the agent economy. Vangrid turns smartphones into a distributed grid capturing real-world spaces and building 3D spatial data for Physical AI.
One connects AI to digital information. The other connects it to physical reality.
Together, they’re exploring how decentralized networks can provide autonomous agents with both the data they see online and the world they need to navigate.
The first step: joint expeditions.
The next era of AI won’t just understand the internet. It will understand the world around us.
The grid is inevitable.
Bella🌸 retweeted
AI agents can trade, but can they prove they deserve capital?
That’s the gap @agenticscredit is working to solve.
Every onchain trade leaves a trace, yet trading history rarely translates into a meaningful credit profile for AI agents.
Agentics Credit aims to change that by turning an agent’s trading performance into a historical credit record when funding opens.
Instead of judging agents on promises alone, the focus shifts to measurable performance and proven track records.
Because in an agent-driven economy, credibility should be earned through data, not just claims.
The future of agentic finance needs more than trading bots. It needs a way to measure trust.
Good Morning CT ☀️
Getting players to join a game is easy with rewards. Giving them a reason to stay is the real challenge.
That’s what makes @fomopoly_rh interesting to watch.
Built around city-building, virtual land ownership, and stock-market mechanics on Robinhood Chain, Fomopoly aims to create an experience where players can do more than just play and earn, with $DEAL powering part of its in-game economy.
Here’s what makes the concept worth exploring 👇
🏙️ Build a city that grows with you
Instead of playing a few rounds and leaving, players can work toward developing their cities and building something over time.
🌍 Make ownership part of the journey
Virtual land adds another layer, giving players plots to manage as they shape their place in the game.
📈 Turn every decision into strategy
With market mechanics involved, building, investing, and trading could add more depth than simply chasing the next reward.
But there’s one big question: Can Fomopoly keep players engaged when token incentives change?
We’ve seen this challenge before. Axie Infinity’s 2021 boom showed how quickly play-to-earn momentum can cool when economic incentives weaken.
Rewards might attract attention, but they can’t carry a game forever.
Players need meaningful progression, interesting decisions, social interaction, and a reason to come back even when rewards fluctuate.
If Fomopoly can make its city-building, land ownership, and market mechanics genuinely fun, rather than making rewards the entire experience, it could create something more sustainable.
For me, success won’t just be about how many players join at launch.
It’ll be about how many stay, keep building, and make the city their own.
Want to explore Fomopoly? Join here 👇
rarelist.io/r/bellaa_web3
What if the same decentralized network powering AI agents could also help them understand the real world?
That’s where the @vangrid_io × @teneo_protocol partnership gets interesting.
Teneo connects civilian devices to a live data network for the agent economy. Vangrid turns smartphones into a distributed grid capturing real-world spaces and building 3D spatial data for Physical AI.
One connects AI to digital information. The other connects it to physical reality.
Together, they’re exploring how decentralized networks can provide autonomous agents with both the data they see online and the world they need to navigate.
The first step: joint expeditions.
The next era of AI won’t just understand the internet. It will understand the world around us.
The grid is inevitable.
AI agents can trade, but can they prove they deserve capital?
That’s the gap @agenticscredit is working to solve.
Every onchain trade leaves a trace, yet trading history rarely translates into a meaningful credit profile for AI agents.
Agentics Credit aims to change that by turning an agent’s trading performance into a historical credit record when funding opens.
Instead of judging agents on promises alone, the focus shifts to measurable performance and proven track records.
Because in an agent-driven economy, credibility should be earned through data, not just claims.
The future of agentic finance needs more than trading bots. It needs a way to measure trust.
GM CT
AI agents are evolving fast, but what happens when they compete against each other?
That’s what makes @agentdojo interesting.
It’s an arena where you can train AI agents, watch them improve, and put their abilities to the test against other agents.
Now, @rarelistio is bringing an early-stage campaign to the community, creating an opportunity to get involved while the project is still growing.
Campaign dates: October 23 November 6.
Explore the campaign and get involved 👇
rarelist.io/r/bellaa_web3
Announcements are easy to make. Permanently removing 1.1 million tokens from circulation is an action people can actually verify.
That’s how @grvt_io is opening its Grvt 2.0 rollout.
The team bought back 1.1 million GRVT on the open market and permanently burned them, representing nearly 1% of the circulating supply at the time.
Those tokens cannot be recovered or reused by anyone, including Grvt itself.
What stands out to me is the transparency behind the move.
A public dashboard tracks purchases, cumulative burns, the percentage of circulating supply involved, and transaction hashes. Anyone can verify the activity onchain instead of relying solely on an announcement.
Future buybacks are intended to happen monthly, but remain discretionary at the token issuer’s decision, with an independent execution partner handling the purchases.
But the buyback is only the beginning.
This is the first announcement in a five-part series introducing the products planned for Grvt 2.0.
Grvt Earn planned for late October
Tokenized fixed-income strategies targeting yields of up to 11%. That’s a target, not a guaranteed return, and the underlying risks still matter.
Stable Funding Perps planned for November
Trading across stocks, FX, commodities, and indices, with zero trading fees and once-daily funding. The roadmap targets more than 1,000 markets by December 2026.
Yield as Margin planned for November
This is the feature I’m most curious about. Eligible Earn balances could serve as trading margin while continuing to generate yield.
If delivered as planned, that could make managing capital across earning and trading much more efficient.
Grvt 2.0 app planned for late November
The goal is to bring these features together through a unified self-custodial balance, alongside refreshed branding and the 2027 roadmap.
There’s still plenty to deliver, and the roadmap will need to prove itself through execution.
But the first step is already complete.
The buyback is done. Now the real test is whether Grvt 2.0 can deliver on its vision.
Quantum computing needs more than powerful hardware. It needs a simpler way to access it.
That’s why @quipnetwork launching QVM on testnet is worth watching.
One program, multiple computing architectures. Run the same code across quantum annealers, gate-based quantum computers, and classical hardware without rewriting it for each system.
With pay-as-you-go access and upfront job costs, Quip is making quantum experimentation more accessible and predictable.
The future of computing may not depend on one type of machine, but on making them work together.
QVM is live on testnet. 🦋
Privacy and transparency shouldn’t have to compete.
In Web3, users need to prove what matters without exposing everything about themselves.
That’s the balance @primus_labs is working toward: keeping data private by default while making necessary information verifiable when required.
Think proof without exposure. Verification without revealing everything. Control without compromise.
The future of digital trust isn’t about making all data public. It’s about proving what matters while protecting what should stay private.
That’s where privacy technology makes a real difference.
Explore here: s.kaito.ai/PNiGqin
Winning one battle is impressive. Building an AI agent that learns from defeat and comes back stronger? That’s a different game.
That’s what makes @agentdojo interesting to me.
Every duel becomes a test of an agent’s decisions, strategy, and ability to adapt.
A loss can expose a weakness.
A win can reveal which approach is working.
And each battle creates another opportunity to understand what your agent does well and where it needs to improve.
What really interests me is the human side of this process, too.
Different players will experiment with different strategies, train their agents in different ways, and discover what works through competition.
Over time, it’s not just about winning a single fight.
It’s about seeing how far you can push an agent you’ve trained yourself.
The real challenge isn’t just building an AI that can fight. It’s figuring out how to make it better.
The real problem with meme launches isn’t volatility. It’s who gets rewarded.
The $KIMCHI launch highlighted a familiar pattern: wallets moved fast, millions in valuation disappeared, and late buyers were left chasing the hype.
When timing matters more than genuine participation, the community often carries the risk while early movers capture the upside.
That’s why @zerufinance’s Activity Fi narrative is worth watching.
What if verified onchain activity helped determine who gets access to a launch, instead of rewarding whoever arrives first?
A different launch model starts with a different incentive system.
Welcome to Activity Fi. Coming soon to Zaps.
Join now: app.zaps.wtf/?invite=f5zdjCk…
Tokens bought back and burned are gone forever. Now the bigger question is what comes next.
@grvt_io has completed its first GRVT token buyback, purchasing 1.1 million GRVT on the open market and permanently burning the tokens.
That represented nearly 1% of the circulating supply at the time.
What stands out to me is the transparency.
These tokens aren’t sitting in a treasury waiting to be used again. They’ve been burned, and a public dashboard lets anyone track the buyback activity and verify transaction hashes onchain.
But this is only the beginning.
The focus now shifts to Grvt 2.0, with a broader vision of making one self-custodial balance work harder.
From Grvt Earn targeting up to 11% yield to Stable Funding Perps and yield-bearing trading margin, the goal is to bring earning and trading closer together.
The feature I’m most interested in is Yield as Margin.
If eligible assets can continue earning yield while supporting trading positions, that could make capital management more efficient.
Of course, actual yields and trading risks still matter.
The buyback is complete, but the bigger test is execution.
1.1M GRVT burned. Grvt 2.0 is the next chapter.
Bella🌸 retweeted
Good Morning CT
A game can attract thousands of players with rewards. But can it give them a reason to stay after the rewards lose their appeal?
That’s the question I find interesting about @fomopoly_rh.
Fomopoly aims to go beyond the usual play-and-earn model by combining city-building, virtual land ownership, and stock-market mechanics on Robinhood Chain, with $DEAL powering part of its in-game economy.
And the combination could make things interesting.
> Build something that evolves
Instead of playing one session and moving on, players could have a city to develop and long-term goals to work toward.
> Make ownership meaningful
Land adds another layer to the experience, giving players plots to manage as they shape their place in the city.
> Turn decisions into strategy
With market mechanics involved, players have to think beyond simply collecting rewards. What they build, where they invest, and when they trade could all influence their approach.
But there’s one challenge Fomopoly will need to solve: player retention.
We’ve already seen what can happen when a game relies too heavily on token incentives. Axie Infinity’s 2021 boom showed how quickly momentum can fade when economic incentives weaken.
A token alone doesn’t make a game worth playing.
Players need progression, meaningful choices, social interaction, and reasons to return even when rewards fluctuate.
If Fomopoly can make its ownership and market mechanics enhance the gameplay instead of replacing it, that’s where the concept could become compelling.
For me, the real measure of success won’t just be how many people join at launch.
It’ll be how many choose to stay, build, and make the city their own.
Join now: rarelist.io/r/bellaa_web3
Good Morning CT
A game can attract thousands of players with rewards. But can it give them a reason to stay after the rewards lose their appeal?
That’s the question I find interesting about @fomopoly_rh.
Fomopoly aims to go beyond the usual play-and-earn model by combining city-building, virtual land ownership, and stock-market mechanics on Robinhood Chain, with $DEAL powering part of its in-game economy.
And the combination could make things interesting.
> Build something that evolves
Instead of playing one session and moving on, players could have a city to develop and long-term goals to work toward.
> Make ownership meaningful
Land adds another layer to the experience, giving players plots to manage as they shape their place in the city.
> Turn decisions into strategy
With market mechanics involved, players have to think beyond simply collecting rewards. What they build, where they invest, and when they trade could all influence their approach.
But there’s one challenge Fomopoly will need to solve: player retention.
We’ve already seen what can happen when a game relies too heavily on token incentives. Axie Infinity’s 2021 boom showed how quickly momentum can fade when economic incentives weaken.
A token alone doesn’t make a game worth playing.
Players need progression, meaningful choices, social interaction, and reasons to return even when rewards fluctuate.
If Fomopoly can make its ownership and market mechanics enhance the gameplay instead of replacing it, that’s where the concept could become compelling.
For me, the real measure of success won’t just be how many people join at launch.
It’ll be how many choose to stay, build, and make the city their own.
Join now: rarelist.io/r/bellaa_web3
Transparency hits different when every action can be verified onchain.
@vangrid_io just made its Explorer live, bringing captures, attestations, and settlements into one place.
Built on Base and Ethereum Attestation Service (EAS), with Merkle batching, Vangrid makes network activity independently verifiable instead of asking people to trust claims.
The grid isn’t just being built. It’s already generating verifiable activity.
Explore it yourself: explorer.vangrid.io
The grid is inevitable.
Bella🌸 retweeted
GM CT 👀
What happens when AI agents stop working in isolation and start competing to become better than one another?
That’s the idea that makes @agentdojo interesting to watch.
Instead of simply asking AI agents to respond to prompts, Agent Dojo focuses on creating an environment where they can train, compete, test different approaches, and improve through experience.
And the most interesting part is what competition might reveal.
>> Learning through repetition: How do agents develop as they face the same challenges again and again?
>> Strategy under pressure: Which approaches perform better when agents compete against one another?
>> Adapting to challenges: Can agents adjust their strategies when the environment changes?
>> Measuring progress: What can repeated competition teach us about an agent’s strengths and weaknesses?
These are the questions I’m most curious to see answered as the project develops.
Because AI progress isn’t just about how well an agent responds once.
It’s also about how it performs, adapts, and improves across repeated challenges.
Agent Dojo is still a project to watch as its concept develops into practical experiences.
The real excitement begins when we can see what these agents actually learn by competing.
















