crypto trader// airdrops hunter // crypto enthusiast// Alpha testnet// sports //DM for promotion// movies// wallpaper lover☺️//
Joined November 2020
- Tweets90.5K
- Following9.1K
- Followers10.8K
- Likes98.6K
faab retweeted
GN familia
Show up every single day and eventually luck will find you.
You can’t win on the days you don’t try.
Stay locked in with @quipnetwork
faab retweeted
Good afternoon
The ZeruAI × @Ditto_Network campaign just got more interesting.
At first, the perps angle was enough to catch my attention.
Now memes and prediction markets are part of the mix too, which gives traders more ways to stay active without forcing everyone into the same market.
Your qualifying activity still contributes toward your Zaps and leaderboard position.
The reward pool remains $50K, with the top 600 getting rewarded.
I like this direction from @zerufinance.
More market choices = a much less repetitive campaign.
Which market are you spending most of your time on?
faab retweeted
Good Afternoon
gZAPS
A WALLET BALANCE TELLS YOU WHAT SOMEONE HOLDS. IT DOESN’T TELL YOU HOW THEY GOT THERE.
That’s an important distinction in DeFi, and it’s where @zerufinance is trying to make onchain reputation more useful.
Zeru’s zScore converts wallet behavior into a score from 0 to 1,000, drawing on activity such as trading, lending, staking, liquidity provision, and governance.
With 320M+ wallets analyzed across 6+ chains, the goal is to give protocols another way to understand the wallets interacting with them.
And that intelligence reaches several products:
→ zScore: A behavioral reputation signal for onchain wallets.
→ zDrop: Helps projects analyze wallet eligibility and identify suspicious airdrop patterns.
→ zScreen: Supports wallet screening and risk checks, including Bitcoin addresses.
→ Zaps: Connects eligible trading activity with points and campaign leaderboards.
→ zLend: Explores how wallet reputation can contribute to credit assessment and borrowing capacity.
The Citrea analysis shared by Zeru offers an interesting example. Of 1,981 candidate wallets examined, 55.2% were reportedly flagged for automation.
That highlights a real challenge for airdrop campaigns: distributing rewards based on wallet lists alone can miss important differences between participants.
Of course, a reputation score is only useful if its signals are reliable and its limitations are understood. It should improve decision-making, not automatically replace every other risk check.
For me, the bigger idea is that onchain history could become more than a record of past transactions. It could help protocols make better decisions about trust, incentives, and access to credit.
If every protocol could understand your wallet history, what would you want your onchain reputation to prove?
faab retweeted
GM legends
gZAPS
YOU MIGHT HAVE A ZAPS BALANCE WAITING FOR YOU WITHOUT EVEN KNOWING IT.
One thing I find interesting about @zerufinance is that your journey with Zaps doesn’t necessarily begin the day you sign up.
Zeru has analyzed 320M+ wallets, and its updated scoring approach takes lifetime trading history into account.
That means eligible activity from your existing wallet history could contribute to your starting Zaps balance.
Why does that matter?
→ Leaderboard position: Your Zaps help determine where you stand in activity markets.
→ Partner campaigns: Your points can matter when participating in eligible campaigns, depending on their rules.
→ Early participation: Zaps are designed to recognize activity across the Zeru ecosystem, with a potential role in future airdrop eligibility subject to official terms.
There’s also a focus on keeping the system fair. Sybil behavior and wash trading can be penalized, while prolonged inactivity may affect your balance under the scoring rules.
And for users who prefer keeping their main holdings offline, delegated wallet access is planned to offer another way to interact with Zaps and zScore without directly connecting a cold vault.
Your past onchain activity may already count for more than you realize.
Connect your wallet and check your balance: app.zaps.wtf
Have you checked your Zaps yet, or are you still wondering what your trading history might be worth?
faab retweeted
GN familia
What if the next piece of infrastructure powering AI is already sitting in your pocket?
That’s one of the ideas I find interesting about @vangrid_io.
Collecting real-world spatial data doesn’t always have to mean deploying expensive equipment or maintaining company-owned fleets across different locations.
A specific place needs to be captured. Someone nearby can use their smartphone to collect the data, and the resulting capture can be turned into a 3D representation for Physical AI applications.
Simple idea, but the implications are worth thinking about.
People on the ground provide the local access. AI developers get another way to source the spatial information their systems need.
Of course, the model only works if the captured data meets the required quality standards, the requester accepts the work, and contributors receive their agreed rewards.
But if those pieces come together at scale, everyday smartphones could become part of a much larger spatial data network.
Not just devices for communication and entertainment, but tools that help machines understand the physical world around them.
That’s the bigger possibility I see with Vangrid.
The future of AI won’t depend on digital intelligence alone. It will also depend on how well machines can access information about the real world.
And ordinary people could have a role in building that layer.
faab retweeted
GM legends
gVANGRID
1.25M captures and $652K settled can pass for vanity metrics until you divide them. Divided, they say something specific about @vangrid_io.
The latest ledger on explorer.vangrid.io: 1,250,000+ captures, 450,000+ users, 5,061+ attestations, and $652,799+ USDC settled. Here is what I read from it.
1. Money is growing faster than volume
Against the earlier snapshot of 988,945 captures, 3,742 attestations, and $315,214 settled, captures are up about 26%, attestations are up about 26%, and USDC settled is up about 90%. Settlement is outpacing capture volume by more than 3x.
2. The price per capture is climbing
Cumulative USDC per capture moved from about $0.32 to $0.48. Counting only the growth since that snapshot, it works out to roughly $1.09 per new capture. That points to higher-value funded jobs, or to payouts catching up on older work. Either way it is the number to track.
3. Verification scales evenly
There are about 266 captures behind every attestation, against 264 before and about 272 across the recent growth. Batching has held steady, so proof does not get thinner as volume rises.
4. Paid contributors look like a core inside a larger funnel
$600K across 450K users averages about $1.33 per user. USDC reaches the contributors completing funded bounties, while the wider base earns points and rank, which Vangrid keeps separate from bounty rewards.
5. The market context is wide open
Analyst estimates put robot training data at about $500M in 2025 and $8B by 2030, which implies roughly 74% annual growth. At $600K settled, Vangrid is a sliver of that, and a sliver is what early looks like.
What I will watch next: unique buyers and repeat requesters, approval and rejection rates after the preview stage, time from capture to payout, and bounties posted by AI agents through x402 on Base and Arc. The ledger already proves supply and settlement, and demand depth is the next layer to prove.
Open the explorer, pick any attestation, and rebuild the proof yourself: explorer.vangrid.io
Which metric would you want on the dashboard first: repeat buyers, approval rate, or time to payout?
faab retweeted
GN familia
There is a lot of potential if technology reaches wider adoption with @quipnetwork
faab retweeted
Good evening
gQUIP
most people will probably think about quantum computing when it becomes an immediate problem for crypto.
but by then, preparing could be a lot harder.
that’s what makes @quipnetwork interesting to me.
Postquant Labs is approaching the challenge through two layers:
Asset Layer: Post-quantum wallets built around WOTS+ hash-based signatures, with deployments across Ethereum and Solana and a Bitcoin pathway through Arch Network.
Compute Layer: A decentralized marketplace designed to bring idle quantum and classical computing resources into one network.
I like the two-part approach because quantum readiness isn't only about protecting existing assets. It's also about building the infrastructure to make quantum computing more accessible.
The project has also reported 13,000+ public testnet sign-ups, showing early interest in what it's building.
Of course, adoption, security, and real-world performance still matter. The technology has to prove itself.
But preparing before a threat becomes urgent makes sense.
The question is: will Bitcoin holders start exploring post-quantum protection early, or will most wait until the risk feels real?
$QUIP
faab retweeted
GM gZAPS ⚡
Some important changes are coming to @zerufinance , especially how trading activity is scored and how users protect their wallets.
→ Scoring: Real trading matters more, inactivity and Sybil behavior can hurt your score, and your past trading history counts.
→ Bitcoin screening: zScreen is expanding wallet checks to BTC addresses.
→ Delegate wallets: A new option is planned to let users claim Zaps for a vault without connecting their cold wallet directly.
I like the focus on rewarding genuine activity while giving users more control over wallet security.
More details below 👇
faab retweeted
Physical AI needs more than smarter models. It needs better data, at scale.
One thing that stands out to me about @axisrobotics is the idea behind its data engine: helping robots learn from structured interaction data, not just making bigger claims about AI.
According to the Axis Hub, the platform has recorded 7.7M+ trajectories, 243K+ users, and 7.3M+ transactions in the latest figures I could verify. These numbers reflect the scale of the platform, although scale alone doesn’t tell us how useful every trajectory is for training a robot.
Source: s.kaito.ai/r2V52hh
And that distinction matters.
A robot learning to grasp, move, or place an object needs more than a large collection of examples. It needs data that captures meaningful actions, different situations, and the points where its current behavior falls short.
That’s why I find Axis model-guided data approach interesting. In its September research article, Let the Model Guide the Data, Axis explains that data value can change as a model improves. A demonstration that was useful earlier may become repetitive, while a less common example could help address a remaining weakness.
The idea is simple, but important:
Collect → Train → Evaluate → Adapt the Data → Train Again.
In my view, this feedback loop is one of the more interesting directions in Physical AI. More data can help, but knowing what data to collect next and why could matter just as much.
Of course, the real test is whether these ideas continue to translate into measurable improvements in robot performance. The research and the growing dataset are promising signals, but long-term results matter more than numbers alone.
Physical AI is still evolving, and I’m interested to see how Axis Robotics develops its data engine from here.
The future isn’t only about building smarter models. It’s also about helping them learn from the right experiences.
#AxisRobotics
faab retweeted
Good afternoon
gZERU
WHAT IF THE TRADING ACCOUNTS YOU FOLLOW COULD BECOME AUTOMATED STRATEGIES?
That’s the idea behind the @zerufinance × @useaspenai campaign, running from October 15 to November 25.
Instead of manually following every trade call, you can choose an X or YouTube account you follow and use ASPEN to automate its trade signals on Hyperliquid.
Here’s what makes the campaign worth checking out:
→ $50,000 reward pool tied to campaign performance and total trading volume.
→ 1,000 prize spots, with $6,000 for first place if the full reward pool unlocks.
→ $10,000 minimum trading volume required to qualify for a prize.
→ Only eligible live trades made through your campaign link count. Paper trading doesn’t qualify for rewards.
→ The full $50K pool unlocks when campaign trading volume reaches $15 million.
There’s also an important detail: self-trading and wash trading are excluded, so genuine, verifiable activity matters.
I’d recommend reviewing the backtests and testing the strategy in paper mode before switching to live trading. Automation can execute a strategy faster, but it cannot eliminate market risk or guarantee profits.
What interests me here is the connection between automated trading and Zeru’s reputation-based scoring system, where eligible activity contributes to your Zaps score and leaderboard position.
Explore the campaign: app.zaps.wtf/campaigns/aspen
Would you automate a trader you already follow, or do you prefer making every trading decision yourself?
GM legends
gZERU
ZERU’S BIGGER OPPORTUNITY IS TURNING WALLET HISTORY INTO FINANCIAL VALUE.
DeFi has no shortage of transaction data. The challenge is making that data useful when assessing reputation, identifying risk, and deciding who deserves access to capital.
That’s where @zerufinance is trying to make a difference.
Here are five things I’m watching in its ecosystem:
1. zScore: A numerical reputation signal
Zeru’s zScore uses onchain behavior to build a picture of wallet reputation, giving protocols another signal to consider beyond collateral alone.
2. 8 block explorers
zScore has been made accessible through the Cards tab across eight explorers, including Etherscan, BaseScan, BscScan, Arbiscan, PolygonScan, LineaScan, Optimistic Etherscan, and Robinhood Chain Explorer.
That makes wallet reputation easier to discover within familiar onchain tools.
3. 25,000+ Zappers
Zeru’s promotional graphic reports more than 25,000 Zappers participating in its activity ecosystem.
Through Zaps, users can engage with campaigns, track points, and compete on leaderboards. These points are not an immediate token payout, and any future airdrop remains subject to its official rules.
4. Reputation meets DeFi credit
The broader vision connects wallet analytics, Sybil detection, behavioral scoring, and onchain lending.
If wallet history can help protocols assess risk more effectively, it could create additional ways to evaluate borrowers. Actual access to credit still depends on implemented products, eligibility, and risk controls.
5. Utility matters more than the headline numbers
Scoring millions of wallets is a useful starting point, but scale alone doesn't prove that a credit model works.
The real test is whether behavioral data improves lending decisions, helps manage defaults, and creates sustainable value for users and protocols.
That’s the part of Zeru I find most interesting: not just measuring what wallets have done, but exploring what that history could make possible next.
Can onchain reputation become a meaningful alternative signal for DeFi credit, or will collateral always remain the deciding factor?
$ZAP
faab retweeted
GM legends
gZERU
ZERU’S BIGGER OPPORTUNITY IS TURNING WALLET HISTORY INTO FINANCIAL VALUE.
DeFi has no shortage of transaction data. The challenge is making that data useful when assessing reputation, identifying risk, and deciding who deserves access to capital.
That’s where @zerufinance is trying to make a difference.
Here are five things I’m watching in its ecosystem:
1. zScore: A numerical reputation signal
Zeru’s zScore uses onchain behavior to build a picture of wallet reputation, giving protocols another signal to consider beyond collateral alone.
2. 8 block explorers
zScore has been made accessible through the Cards tab across eight explorers, including Etherscan, BaseScan, BscScan, Arbiscan, PolygonScan, LineaScan, Optimistic Etherscan, and Robinhood Chain Explorer.
That makes wallet reputation easier to discover within familiar onchain tools.
3. 25,000+ Zappers
Zeru’s promotional graphic reports more than 25,000 Zappers participating in its activity ecosystem.
Through Zaps, users can engage with campaigns, track points, and compete on leaderboards. These points are not an immediate token payout, and any future airdrop remains subject to its official rules.
4. Reputation meets DeFi credit
The broader vision connects wallet analytics, Sybil detection, behavioral scoring, and onchain lending.
If wallet history can help protocols assess risk more effectively, it could create additional ways to evaluate borrowers. Actual access to credit still depends on implemented products, eligibility, and risk controls.
5. Utility matters more than the headline numbers
Scoring millions of wallets is a useful starting point, but scale alone doesn't prove that a credit model works.
The real test is whether behavioral data improves lending decisions, helps manage defaults, and creates sustainable value for users and protocols.
That’s the part of Zeru I find most interesting: not just measuring what wallets have done, but exploring what that history could make possible next.
Can onchain reputation become a meaningful alternative signal for DeFi credit, or will collateral always remain the deciding factor?
$ZAP
faab retweeted
Late GN familia
Getting some rest for tonight and checking out @zerufinance before sleep
and @quipnetwork
faab retweeted
Good evening
gQUIP
your Quantum Echo might be more useful than you think.
@quipnetwork is giving revealed Quantum Echoes another role in its points system.
deposit your revealed Echo into your Quip account, and its rarity can boost the points you earn from swaps and stored value.
here’s the breakdown:
→ Ultra Rare: 2x
→ Rare: 1.5x
→ Uncommon: 1.25x
→ 5 Commons: 1.1x
so the traits you got at reveal now matter beyond the collectible itself.
if you’ve already revealed your Echo, check its rarity and see how it fits into your points strategy.
faab retweeted
ARE YOU ACTIVE?
The @zerufinance project is building something that could become increasingly relevant over time.
GM legends
gZAPS
SIX WEEKS. $50K IN REWARDS. YOUR TRADING ACTIVITY IS THE SCORECARD.
The ZeruAI × Aspen campaign is live on Zaps, and I think the interesting part is how it connects automated trading with wallet reputation.
The idea is straightforward: trade through @useaspenai, let your verified activity count toward your Zaps score, and track your position on the leaderboard.
Here’s how I’d approach the six-week campaign:
1. Get the setup right
Register for the campaign on Zaps, set up your @useaspenai account, and make sure your trading activity is being attributed correctly.
2. Don’t overlook your existing history
Zaps now counts lifetime trading history, so your score may reflect activity from before you joined. You’re not necessarily starting from zero.
3. Focus on consistency, not artificial volume
The updated scoring formula gives more weight to genuine trading activity. Keep your strategy consistent, review your leaderboard position, and avoid trying to manufacture volume just to climb.
4. Keep risk under control
Automation doesn't make a bad trade safer. Review your position sizes, leverage, and the permissions granted to your trading tools. Wash trades, self-trading, and Sybil behavior can hurt your score rather than help it.
If your activity isn't appearing, check your dashboard and reach out through @zerufinance official community channels.
The campaign is built around verified trading, but that doesn't mean every trade is profitable or that rewards are guaranteed.
Join and check the campaign details here: app.zaps.wtf
If you were putting a trading strategy on autopilot for six weeks, what would you prioritize: consistency, risk management, or finding better setups?
faab retweeted
GM legends
gZAPS
SIX WEEKS. $50K IN REWARDS. YOUR TRADING ACTIVITY IS THE SCORECARD.
The ZeruAI × Aspen campaign is live on Zaps, and I think the interesting part is how it connects automated trading with wallet reputation.
The idea is straightforward: trade through @useaspenai, let your verified activity count toward your Zaps score, and track your position on the leaderboard.
Here’s how I’d approach the six-week campaign:
1. Get the setup right
Register for the campaign on Zaps, set up your @useaspenai account, and make sure your trading activity is being attributed correctly.
2. Don’t overlook your existing history
Zaps now counts lifetime trading history, so your score may reflect activity from before you joined. You’re not necessarily starting from zero.
3. Focus on consistency, not artificial volume
The updated scoring formula gives more weight to genuine trading activity. Keep your strategy consistent, review your leaderboard position, and avoid trying to manufacture volume just to climb.
4. Keep risk under control
Automation doesn't make a bad trade safer. Review your position sizes, leverage, and the permissions granted to your trading tools. Wash trades, self-trading, and Sybil behavior can hurt your score rather than help it.
If your activity isn't appearing, check your dashboard and reach out through @zerufinance official community channels.
The campaign is built around verified trading, but that doesn't mean every trade is profitable or that rewards are guaranteed.
Join and check the campaign details here: app.zaps.wtf
If you were putting a trading strategy on autopilot for six weeks, what would you prioritize: consistency, risk management, or finding better setups?