Web3 Growth Strategist | PM |• KOL • CM | BD @VictusGlobal | Driving Web3 traction, user growth |Ambassador @xomarket | @Binance affiliate |https://xitter.twitterapi.xyz/t.co/M4CtoTzbx9
Nigeria
Joined May 2024
- Tweets83.2K
- Following7.1K
- Followers9.1K
- Likes13K
Cryptomania retweeted
Two weeks of Rebate Pad, given back:
🟣$254,000 in bonus tokens to buyers, valued at each token's high, across 26,012 buys
🟣$28,500 paid to holders, in 120,403 payouts
🟣35.3M $REBATE burned, 3.53% of supply
app.rebatepad.dev
There’s a distinction I think more people should understand when looking at @RBHHeroes.
A game and a gaming ecosystem aren’t necessarily the same thing.
The game provides the actual experience: characters, combat, enemies, equipment and progression.
The wider ecosystem introduces additional layers, including digital ownership, token-related participation and the proposed RWA reward model.
RBH Heroes is attempting to bring these elements together.
Its Genesis collection introduces an NFT ownership component.
$RBHH is the announced ecosystem token.
The Sherwood Vault introduces the project’s RWA reward narrative.
Each component serves a different proposed purpose, and they shouldn’t be treated as interchangeable.
The interesting part will be seeing how well they connect to the actual gaming experience.
If the game is enjoyable and the supporting economic systems are transparent, there’s a stronger foundation to build on.
Otherwise, the ecosystem risks becoming more interesting on paper than it is in practice.
For now, I’m watching how RBH Heroes develops each layer.
A reward system can attract players.
But can it keep them engaged over time?
That’s a much harder question.
Many GameFi projects have struggled with reward models that depend heavily on continuous token emissions.
When rewards are distributed without enough underlying demand, selling pressure can become a problem.
This doesn’t mean every token-based reward model is destined to fail.
It means the economics need to be designed carefully.
@RBHHeroes has introduced the Sherwood Vault as part of its RWA-focused reward proposition.
The important questions are how the vault is funded, how rewards are calculated and whether the mechanism can support consistent participation.
A sustainable gaming economy needs more than incentives.
It needs an enjoyable game, returning players, useful progression systems and transparent economic rules.
The strongest reward model is one that supports the game rather than becoming the only reason people play it.
That’s the distinction worth watching.
Explore: rbhheroes.xyz/
Cryptomania retweeted
I care more about what a token does than its ticker.
@strato_net has a fixed max supply of 100M $STRATO, with 55.2% allocated to the community in its published tokenomics.
The token is designed for staking and validator participation, helping secure the HardFi chain.
Some utility is still planned. Gas is paid in USDST today, and paying gas in $STRATO is the planned design. Borrower benefits and tokenholder governance are also described as planned in the docs.
DefiLlama records over $57K in cumulative protocol revenue for STRATO, with borrowing generating protocol fees. That revenue is not automatically distributed to tokenholders.
Borrowing also carries risk fees apply, and positions can be liquidated if collateral value falls.
If metals, USDST and apps on STRATO keep getting used, that could create demand for the token's network functions.
Which utility matters most to you: staking, governance or gas?
docs.strato.nexus/tokenomics…
Cryptomania retweeted
Are you a CapCut Pro user? There is an exclusive reward bundle waiting for you from Dreamina and CapCut. 🚀
Try it here:
dreamina.capcut.com/ai-tool/…
You can score up to 10 free Seedance 2.0 generations, bonus credits, and even snag a month of Basic for just $0.29 if you are a first-time Dreamina user. The best part? Every single eligible user walks away with a prize.
#DreaminaPartner
Cryptomania retweeted
connecting a wallet to a platform should not mean giving that platform control over your assets.
this is one detail i think deserves more attention when looking at @zerufinance and the Zaps ecosystem.
Zaps uses a wallet ownership signature to read onchain activity. it cannot move funds or execute trades on behalf of users. when you connect through X, the link between your social identity and wallets also stays private.
but what makes this more interesting is how zeru uses that wallet information.
instead of judging users by how many wallets they control or how much attention they generate, zScore looks at their actual onchain behaviour, while Zaps uses verified activity to determine participation and rewards.
i recently looked through ZeruAI's research on reward distribution, and one finding stood out.
its analysis of 2,539 wallets on Base showed that a square-root reward formula could turn 0.27% of a reward pool into 9.32% for those wallets, even though their trading represented only a small share of total activity.
the problem is that a formula designed to help smaller wallets can also encourage people to split funds across multiple wallets to receive a larger share.
this is why i find Zeru's approach to reward design worth examining.
the same thinking appears in the zETH Activity Market. according to its published tokenomics, there is no team or VC allocation, no presale, no free miner allocation, and unsold supply is burned.
miners earn their positions through verified activity and a minted zScore. the remaining supply goes through an auction, with proceeds used to seed a locked liquidity pool.
i think these mechanics address some familiar problems with token launches, especially insider allocations and artificial activity.
however, removing a team allocation does not automatically guarantee fair distribution. wallet scoring, miner selection, auction participation and liquidity all need to work as intended.
what interests me most is the connection between these decisions.
wallet ownership stays with the user, behaviour becomes a way to establish reputation, and that reputation can influence who gets an opportunity to participate in a new market.
i would rather see these mechanisms prove themselves through actual market activity than judge them by their promises.
that's what i'll be watching as @zerufinance develops Activity Markets.
there's more to being a zETH miner than watching the supply burn.
@zerufinance has given miners two things to pay attention to:
1. ethereum activity earns Zaps and determines your weight in the race.
2. miners get the first 12 hours of the zETH auction to place bids.
i find the second part interesting.
your activity doesn't just affect the race before launch. it also gives miners an early window to participate in the auction.
this makes checking your wallet history worth doing before the auction begins.
Cryptomania retweeted
Building a product is getting easier every day and it's great to see the business side catching up too
@rhobusiness now lets founders incorporate and open a business account in one go in as little as 10 minutes
You can even get the incorporation fee back by depositing $10K within the first 90 days
Less paperwork and more time to focus on building
A pretty nice step forward for anyone starting something new
Starting today, incorporating on @rhobusiness is free.
You can form your company and open a Rho business account in one step, and it takes as little as 10 minutes.
How it works: Open a Rho account and deposit $10K in your first 90 days. You'll then receive a refund on the incorporation fee.
We want to make 2026 a record for new business creation - and break the record in 2027 - one easy incorporation at a time.
Cryptomania retweeted
𝗧𝗵𝗲 𝗶𝗱𝗲𝗮 𝗯𝗲𝗵𝗶𝗻𝗱 𝗮 𝗺𝗲𝗺𝗲𝗰𝗼𝗶𝗻 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗮𝘀 𝗺𝘂𝗰𝗵 𝗮𝘀 𝘁𝗵𝗲 𝗰𝗼𝗶𝗻 𝗶𝘁𝘀𝗲𝗹𝗳.
Most meme trends are built around images that have already circulated thousands of times.
@onlystreetsfun is taking a different route.
Instead of starting with an old picture saved on someone's phone, every coin must begin with a fresh photo captured directly inside the app.
That small requirement changes the creative process.
You have to actually look around, notice something worth sharing and capture it in the moment.
It could be a strange street sign, an unexpected encounter or something funny happening in public.
I think this is an interesting direction for Solana's memecoin culture because it gives creators a different starting point.
Not another recycled image, but a real moment with its own story.
I'm following the journey and looking forward to seeing what the community creates when OnlyStreets goes live.
Building on @Rarelist, one quality contribution at a time.
Cryptomania retweeted
I've placed my bet on this one, and I'm going with YES. I believe Variational will officially mention Vargan on X before November 13.
Now I'm curious to see what others think.
Do you agree with my prediction?
Head over to @MeleeMarkets, check out the market, and lock in your prediction
beta.melee.markets/market/6A…
Cryptomania retweeted
Both teams are coming into this one with something to prove
The Lakers have been putting together strong performances with 4 straight wins, while the Hawks are also riding a 4-game winning streak
Something has to give tonight. Will the Lakers keep their momentum going or will Atlanta defend their run?
I'm leaning Lakers to keep the streak alive
Who are you backing? 👇
5 straight wins for the Lakers, 4 in a row for the Hawks
Tonight, one streak ends
Pick a side 👇
on 1win: 1win-pro.app/betting/match/s…
38%Atlanta Hawks
62%L.A. Lakers
58 votes • Final results Cryptomania retweeted
Per the @meetmotes docs, borrowing is an independently enabled permission
A vague "make me more" can't turn into leverage on its own. Limits include minimum collateralisation, maximum utilisation, a volatility cap on the borrowed asset and automated risk escalation
$MOTES
🤝 Paid partnership · 🤖 Made with AI
Cryptomania retweeted
What if the next big Web3 opportunity isn’t another token, but AI agents selling real services? 👀
@termix_ai is making this possible through agent(.)family.
💰 Services starting at 1 USDC
🤖 Agents finding and bidding on jobs
🔒 Payments protected by on-chain escrow
⭐ Reputation earned through completed work
AI is moving from generating answers to generating income.
And that changes everything. 🚀
More below 👇
AI agents are no longer just answering questions. They’re finding customers, completing real jobs and getting PAID. 🤯
I looked into real user experiences on @termix_ai’s agent(.)family, and some of them are genuinely impressive.
Here are 4 examples that caught my attention 👇
🎨 1. A $1 AI-generated collectible
Hossein_esv hired Holo Card Studio to turn artwork into a 3D holographic card.
Before paying, they checked the agent’s 87 completed jobs and reputation.
✅ Paid 1 USDC on BNB Chain
✅ Received the card within 1 day
✅ Reviewed and accepted the delivery
✅ Escrow released payment to the agent
A complete transaction, not just a demo.
🎬 2. A $15 AI promo video
xxxpizzaboss ordered a promotional video from an AI agent.
The result? A complete 1080p video with visuals and music, delivered within the promised 1-day window.
The interesting part: the buyer could review the result while the 15 USDC remained protected in escrow during the challenge window.
💼 3. Selling AI services for just $1
Lexioryn created a service offering social media hook rewrites.
Price: 1 USDC.
Delivery: 1 day.
They registered an agent identity, built a service page, set the price and published a purchasable listing.
An AI service can now have its own storefront.
🤖 4. Agents finding their own jobs
carte_free connected TermiX Skills to a bot.
Within minutes, the agent could discover available jobs, inspect requirements, submit offers and accept work.
This is what makes agent(.)family exciting.
AI agents aren’t limited to waiting for someone to give them a prompt anymore. They can participate in a real marketplace.
But the biggest innovation happens AFTER an agent gets hired.
Here’s why 👇
Cryptomania retweeted
Mirror reflections are surprisingly tricky for image models.
On the left is MiniMax H3 Image, and on the right is Seedream 5.5.
MiniMax H3 Image got this one much closer to reality. The miniature setup and its reflections actually make sense together. Seedream 5.5 looks good at first, but once you look at the mirrors, things start getting weird — some of the reflections just don't match the actual scene.
H3 takes this round for me.
Cryptomania retweeted
A high leaderboard rank can be encouraging, but it doesn't mean you've secured a validator seat.
That's an important distinction in @GenLayer's Pre-Mainnet Staking.
The leaderboard on the GenLayer Portal is only a live snapshot. It shows how seats would be distributed if the program ended today, while participants can continue earning Staking Points and changing the rankings before the mainnet snapshot.
But there's something more important than watching your position move.
Every staked GEN earns 1 Staking Point per day, yet points alone don't make you eligible. You also need a node running on Clarke for at least 30 days.
At the snapshot, eligible participants receive seats proportionally to their accumulated points. Those selected become validators, initially backed with GEN from the Foundation. They can process network transactions and earn GEN fees for their work.
I see the leaderboard as a progress indicator, not a finish line. The real objective is to build both the points and the operational readiness needed to take part in the network.
If you were close to securing a seat, would you prioritize accumulating more points or making sure your node is ready?
One distinction I think more people should understand about AI-powered investing is that researching an opportunity and having permission to act on it are two completely different things.
An AI agent might be able to examine market information, compare assets, follow developments, and assess whether a particular investment thesis still makes sense.
But none of that should automatically translate into permission to execute a trade.
@Meetmotes makes this distinction explicit in its proposed agent model.
Get in: hazels.io/studio/pulse/motes…
Its product documentation describes an approach where an agent can research broadly, while actual execution remains restricted to the assets and venues permitted by the owner’s policy.
I find that separation quite sensible.
Consider someone who has configured an agent to focus exclusively on a list of AI infrastructure assets.
The agent might encounter useful information about another sector while conducting research.
It can potentially analyse that information, but the existence of an interesting opportunity doesn’t mean it can start trading outside the original mandate.
The investment scope still matters.
This is particularly relevant when dealing with autonomous financial systems.
An agent that can gather information without having unrestricted authority to act creates a more deliberate separation between analysis and financial responsibility.
It also gives users a better basis for evaluating the system.
Does the agent explain why it is proposing a particular action? Does the action match the original mandate? Can the owner inspect the reasoning before execution?
These are questions worth asking.
AI research can be broad. Financial authority should be specific.
Being able to identify an opportunity doesn’t mean being authorised to pursue it.
That distinction is one of the more interesting design principles in Motes’ approach.
Powered by: @0xhazels
More market access doesn’t automatically mean better financial decisions.
In fact, I think one of the most overlooked parts of automated investing is deciding what an agent should not be allowed to touch.
@meetmotes approaches this through the idea of defining an investment universe.
Explore motes: hazels.io/studio/pulse/motes…
The user can establish the categories or specific assets an agent is permitted to work with.
That could mean focusing on major crypto assets, AI infrastructure tokens, stablecoins, tokenized equities, or another defined group of supported assets.
Why does this matter?
Because an investment strategy needs boundaries before it needs execution.
Someone interested in AI infrastructure exposure may not want their agent suddenly exploring unrelated memecoins.
A user who prefers stablecoin-focused strategies may not want exposure to highly volatile assets.
The ability to define an allowlist gives the strategy a more deliberate scope.
Motes’ website illustrates this with different investment themes, including AI infrastructure, space, stablecoins, major crypto assets, tokenized equities, and user-defined lists.
Each category also comes with its own risks.
For example, assets within the same sector can become highly correlated. Tokenized equities have issuer and jurisdictional considerations. Stablecoins carry their own peg and counterparty risks.
So restricting the universe isn’t the same as eliminating risk.
It’s about ensuring that the agent’s decisions remain aligned with the investment mandate.
I find that distinction important.
An agent shouldn’t be considered intelligent simply because it can interact with hundreds of markets.
Sometimes the better-designed system is the one that knows exactly which opportunities are outside its scope.
A good strategy isn’t defined only by what you want to buy. It’s also defined by what you’re deliberately choosing to avoid.
Powered by: @0xhazels
Cryptomania retweeted
What if working with AI felt less like managing a collection of tools and more like collaborating with a team?
Today, AI can help with research, writing, analysis, planning and many other tasks.
But moving between different tools, transferring information and repeating instructions can create another layer of work.
What if AI colleagues could work together within one environment instead?
That’s the idea behind Anna, an AI-native messenger exploring a different approach to human-AI collaboration.
Let’s take a closer look. 🧵👇
🤝 Paid partnership
