Deeply Exploring Web3 | NFTs Lover | Learning, Researching & Sharing Content Creator Giving up is not in the blood, Sir
Joined September 2024
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Good Morning CT Family
New Name, New pfp
Changed everything, Let’s see if my bad luck finally goes away this time. 😅
The more I look into Pump fun launches, the more I realize that being early isn't always the real advantage.
Bitquery analyzed 8.2M launches and found that developers and bundled wallets made at least $579M after fees from tokens they sold, while sniper bots made $31.5M.
That's an 18x difference.
So the problem isn't just bots buying before everyone else. Some wallets already have a huge advantage before most traders even notice the token.
By the time regular buyers jump in, the people holding the biggest positions may already be planning their exit.
This is exactly why I'm paying attention to what @zerufinance is discussing around Activity Fi and fairer onchain participation.
That's the part of memecoin launches people should pay more attention to.
🤖 Made with AI
Who really wins the meme launch game?
Bitquery analysed 8.2M Pump(dot)fun launches and found:
- 21% had developer-linked wallets buying in the launch block, holding a median 10% of supply.
- Developers and bundled wallets made at least $579M after fees on tokens they sold.
- Sniper bots made $31.5M.
Developers and bundled wallets made 18x what sniper bots did.
The problem goes beyond bots getting in first. It’s who gets access, how much supply they secure, and when they sell.
Red1 retweeted
While analyzing autonomous perception layers, a clear limitation emerged.
Satellite mapping stops at the roof, and camera cars stop at the curb. That leaves the actual domain of embodied robotics completely unmapped.
Throwing more parameters at AI models cannot resolve missing environmental context.
@vangrid_io addresses this by crowdsourcing verified mobile 3D scans, converting real-world video into spatial data for enterprise clients.
Over $620k in accepted client bounties following a $9M seed round highlights a shift toward demand-led DePIN networks.
Lasting utility requires capturing the physical spaces where work actually happens.
Red1 retweeted
AI agents are becoming capable of handling increasingly complex tasks, but there is still a major gap between performing work and participating in a real economy. Agents need more than intelligence. They need identities, ways to discover opportunities, systems for evaluating work, and reliable methods to receive payments.
This is where @termix_ai takes an interesting approach. TermiX is building commerce and payment infrastructure for the AI agent economy, with AACP serving as its core protocol and agent.family acting as the marketplace built on top of it.
The idea goes beyond simply listing AI agents in a directory. An agent should be able to discover a job, submit a bid, provide a service, deliver results, build an onchain reputation, and receive payment in USDC or USDT through the supported workflow. These pieces help connect agent capabilities with actual economic activity.
AACP also provides a foundation for integrations through APIs, smart contracts, MCP, and event streams, giving developers different ways to connect agent systems with the protocol.
The bigger question is how much work autonomous agents will eventually be able to coordinate and complete independently. If that economy grows, infrastructure for identity, accountability, verification, and settlement could become just as important as the agents themselves.
I’m watching how @termix_ai develops this infrastructure and turns the idea of agent-to-agent commerce into practical workflows.
Red1 retweeted
i've fought a good fight. i'll leave the rest in God's hands now.
how's sunday treating you, frens?
Petr Yan came for the W and left with a whole Rolls-Royce Cullinan 🏆🎉
@Owner1win really said a victory like that deserves something special.
imagine finishing a fight and finding out a luxury beast is waiting for you outside.
congrats to Petr Yan! @1win made sure this win came with extra horsepower.
Red1 retweeted
CANNONBALL IS GETTING OUT OF HAND 😭💥
insane wins, nonstop hits and people can’t stop playing 👀 @Duelbits really cooked with this new Original ⚔️💚
Red1 retweeted
𝐓𝐎𝐊𝐄𝐍𝟐𝟎𝟒𝟗 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 𝗗𝗿. 𝗕𝗿𝘂𝗰𝗲 𝗟𝗶𝘂, 𝗢𝗣 𝗖𝗔𝗧 𝗟𝗮𝘆𝗲𝗿 & 𝗖𝗹𝗮𝘄𝗖𝗵𝗮𝘁’𝘀 𝗦𝗼𝗰𝗶𝗮𝗹𝗙𝗶 𝗩𝗶𝘀𝗶𝗼𝗻
At 𝗧𝗢𝗞𝗘𝗡2049 Singapore, Dr. @bruceonbitcoin , Founder of @op_catlayer, shared his vision for Bitcoin through appearances on both a side panel and the main stage.
𝗢𝗻𝗲 𝘁𝗼𝗽𝗶𝗰 𝘁𝗵𝗮𝘁 𝗰𝗮𝘂𝗴𝗵𝘁 𝗺𝘆 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝘄𝗮𝘀 𝘄𝗵𝘆 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗽𝗮𝘆𝗺𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗰𝗮𝗻 𝗰𝗿𝗲𝗮𝘁𝗲 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗳𝗼𝗿 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀.
Traditional payment systems often rely on signups, identity verification, fees, and access restrictions.
𝗧𝗵𝗲𝘀𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝗰𝗮𝗻 𝗺𝗮𝗸𝗲 𝗶𝘁 𝗱𝗶𝗳𝗳𝗶𝗰𝘂𝗹𝘁 𝗳𝗼𝗿 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗮𝗴𝗲𝗻𝘁𝘀 𝘁𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗼𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝘁𝗹𝘆.
This is where crypto infrastructure opens up new possibilities.
With cryptographic keys and transaction signatures, applications can interact with on-chain assets programmatically.
𝗧𝗵𝗶𝘀 𝗰𝗮𝗻 𝗰𝗿𝗲𝗮𝘁𝗲 𝗻𝗲𝘄 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗳𝗼𝗿 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗽𝗮𝘆𝗺𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀.
@op_catlayer is working to expand Bitcoin’s capabilities through infrastructure designed to support smart contracts, trustless bridging, and more advanced applications.
But infrastructure is only one part of the picture.
𝗪𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝘀𝗼𝗰𝗶𝗮𝗹 𝗹𝗮𝘆𝗲𝗿 𝗼𝗳 𝘁𝗵𝗶𝘀 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗔𝗜 𝗲𝗰𝗼𝗻𝗼𝗺𝘆?
That is where @clawchatglobal comes in. 🐾
@clawchatglobal is the SocialFi platform of the @op_catlayer ecosystem, bringing social interaction into a Bitcoin-native environment.
Here are two key parts of the ClawChat experience:
🔒 𝗖𝗵𝗮𝘁: Private messaging with end-to-end enencryption
🐾 𝗠𝗲𝗼𝘄: A public, on-chain social feed for sharing posts and interacting with the community.
𝗖𝗹𝗮𝘄𝗖𝗵𝗮𝘁’𝘀 𝗯𝗿𝗼𝗮𝗱𝗲𝗿 𝘃𝗶𝘀𝗶𝗼𝗻 𝗯𝗿𝗶𝗻𝗴𝘀 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝘀𝗼𝗰𝗶𝗮𝗹 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱
𝗯𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻-𝗯𝗮𝘀𝗲𝗱 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗰𝗹𝗼𝘀𝗲𝗿 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿, 𝘄𝗶𝘁𝗵 𝗮 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻 𝘂𝘀𝗲𝗿-𝗼𝘄𝗻𝗲𝗱 𝗶𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗮𝗻𝗱 𝗮𝗻 𝗮𝗴𝗲𝗻𝘁-𝗿𝗲𝗮𝗱𝘆 𝘀𝗼𝗰𝗶𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲.
𝗔𝘀 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗯𝗲𝗰𝗼𝗺𝗲 𝗺𝗼𝗿𝗲 𝗰𝗮𝗽𝗮𝗯𝗹𝗲, 𝘁𝗵𝗲𝘆 𝗺𝗮𝘆 𝗻𝗲𝗲𝗱 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗽𝗮𝘆𝗺𝗲𝗻𝘁 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲.
They could also need ways to interact with applications, communicate, and participate in digital environments.
𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝗲𝗿𝗲 𝗕𝗶𝘁𝗰𝗼𝗶𝗻, 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗮𝗻𝗱 𝗦𝗼𝗰𝗶𝗮𝗹𝗙𝗶 𝗯𝗲𝗴𝗶𝗻 𝘁𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁.
@op_catlayer focuses on the underlying infrastructure, while @clawchatglobal brings a social experience to that ecosystem. Their roles are different, but they complement a broader vision for Bitcoin-based applications.
𝗧𝗢𝗞𝗘𝗡2049 created space for important conversations about AI and crypto.
𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗶𝘀 𝘁𝘂𝗿𝗻𝗶𝗻𝗴 𝘁𝗵𝗲𝘀𝗲 𝗶𝗱𝗲𝗮𝘀 𝗶𝗻𝘁𝗼 𝘂𝘀𝗲𝗳𝘂𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘁𝗵𝗮𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗰𝗮𝗻 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘂𝘀𝗲.
That’s why I’m keeping an eye on @op_catlayer and @clawchatglobal . 👀
Explore ClawChat: clawchats.app/
Red1 retweeted
One thing that feels increasingly important in the agent economy is specialization.
We don't expect every company to employ someone who can do everything.
We build teams of specialists.
I think AI agents could evolve similarly.
That's where @termix_ai presents an interesting model.
A smart-contract agent doesn't need to become a market researcher.
A research agent doesn't need to become a security auditor.
A data agent doesn't need to build trading strategies.
They can develop deep expertise in one area and make that capability available to other agents.
So the unit of value may eventually shift from:
“How smart is this agent?”
to:
“What can this agent reliably provide that other agents need?”
That distinction could matter a lot as autonomous software starts participating in real transactions.
Red1 retweeted
Gold has been outperforming Bitcoin, but the bigger picture is what interests me.
Looking at the chart from October 2021 to October 2026, both assets have delivered strong gains, but gold has taken the lead.
➜ Gold ($XAU): up roughly 125% from the starting point.
➜ Bitcoin ($BTC): up roughly 30%.
That’s a notable gap, especially considering how often Bitcoin is compared to gold as a long-term store of value.
But I wouldn’t write BTC off because of this.
Gold has been attracting demand as investors look for safety, while Bitcoin remains a more volatile asset with its own adoption cycle.
The real question is whether this gap keeps widening or Bitcoin starts closing it as market conditions shift.
I’m watching both closely. Gold is leading this round, but I’m still interested in what the next few years could look like for BTC.
Red1 retweeted
Good night everyone
Most launchpads focus on getting a token launched
But what happens after people buy it is where the real story begins
That is the part of @RebateLaunch I find worth examining 👀
Rebate Pad is built around a different idea
Instead of treating buying and holding as separate activities it connects them through three mechanisms
→ Buy bonuses that give buyers extra tokens on top of their swap output
→ Holder payouts that distribute a share of trading activity in the token’s pair asset
→ A fee driven buyback and burn mechanism designed to reduce the supply of $REBATE over time
Here is what makes the model interesting
The $REBATE token has a fixed supply of 1 billion tokens with no additional minting
Its stated model includes a 3% buy bonus and 0.7% holder payouts in USDG while platform fees from launches are directed toward buying and burning $REBATE
That creates a potential connection between launchpad activity and the token economy
But there is an important distinction between an interesting mechanism and a sustainable ecosystem
Buy bonuses do not eliminate price risk
Holder payouts depend on actual trading activity and can be small or even zero
Buybacks and burns do not guarantee price appreciation
And no incentive system can replace genuine demand
That is why I believe the biggest question for @RebateLaunch is not simply how many tokens it can launch
It is whether the platform can attract real users generate consistent activity and make its economic model work beyond the initial hype
The website is live but the app is still preparing to open on Robinhood Chain
So for now I am paying attention to the mechanics and looking forward to seeing how they perform in practice
Because a launchpad can attract attention with incentives
Building something people continue to use is the real achievement
What matters more to you in a launchpad
Attractive entry incentives or an economic model that can sustain itself over time
Red1 retweeted
The one feature on @RebateLaunch that hasn't gotten enough attention is the anti-gaming rule for holder payouts.
Most reflection or dividend models in crypto have the same flaw. You can split your bag across ten wallets and collect ten times the rewards. It turns every payout system into an airdrop farm for people running wallet scripts.
Rebate Pad handles it differently. Your share of the round is calculated as tokens held multiplied by your hold tier. Because the share is strictly proportional, splitting your bag across five wallets changes nothing. The math works out exactly the same. It removes the entire incentive to sybil.
There's also a floor. Holdings under $1 are left out of the payout round. That kills the dust-wallet farming strategy where someone spins up thousands of wallets with a few cents each to farm fractional payouts.
The one structural exception is the exclusion list. Launchers can name up to ten wallets, fixed at launch, to leave out of payouts. That's clearly meant for team or exchange wallets so they don't drain the pool, but it's a parameter worth checking on any launch before you buy in.
It's a design that accepts the reality of how people game these systems and builds the countermeasures into the contract instead of pretending they won't happen.
rebatepad.dev/
@RebateLaunch.
Red1 retweeted
The strongest angle here is that @agenticscredit is building more than a credit score for AI agents. It’s combining trading performance with real-time operational risk so autonomous agents can potentially earn access to capital.
The key research detail: Agentics Credit measures financial performance, while Humanos adds identity and runtime risk intelligence. The two work together to help determine how much capital an agent can access.
AI agents don't just need better strategies. They need a way to prove they can handle capital.
@agenticscredit is building that missing layer with an Agentic Credit Score (ACS) based on profitability, drawdowns, consistency and real trading history.
The interesting part is its partnership with humanosai
Agentics Credit evaluates financial performance, while Humanos tracks identity and operational risk as agents act. That means credit limits can adapt to an agent's actual behavior, not just its past results.
The goal is simple: strong performance earns access to capital, while rising risk can trigger tighter limits or human approval.
If autonomous agents are going to manage real money at scale, verifiable track records and enforceable risk controls will matter just as much as the strategies themselves.
Red1 retweeted
GRVT Earn (@grvt_io) is supposed to land in late October.
Tokenized fixed-income strategies targeting up to 11% (not guaranteed), sitting inside the same self-custodial balance you’ll later be able to use as trading margin.
Most platforms still make you pick one: either park capital for yield or keep it free for trading. They’re trying to collapse that into one experience.
If the product actually feels usable once it goes live - clear risk, simple flows, no weird lockups - it starts looking less like another yield farm and more like a practical way to keep capital productive without giving up flexibility.
Curious how many people will actually use the Earn balance as margin once that feature drops in November, versus just treating it as a separate yield product.
Red1 retweeted
A screenshot can show you a number.
It can't prove where that number came from.
That's one of the problems @primus_labs is trying to tackle with zkTLS.
The interesting part isn't simply accessing Web2 data.
It's being able to generate a cryptographic proof that the data came from the claimed source without handing the whole underlying dataset to whoever is verifying it.
Think about the implications:
📌 Your financial information can remain private.
📌 The application can still verify the relevant claim.
📌 And the proof can potentially be used onchain.
That's a much more useful model than:
“Trust me, I checked the website.”
For me, this is where privacy infrastructure starts becoming genuinely practical.
s.kaito.ai/EhhSL0u
I’ve been looking deeper into @primus_labs, and I think the starting point isn’t the technology.
It’s the problem institutional finance has with going onchain.
For a retail user, putting a wallet balance, transaction history or position on a public blockchain may not be a big deal.
For a fund, market maker, treasury desk or financial institution, it’s a completely different situation.
They may want to use onchain markets, access liquidity, interact with DeFi or prove that certain financial conditions are true.
But that doesn’t mean they want everyone to see their entire balance, positions, strategies or financial activity.
And this creates an interesting tradeoff.
Traditional finance gives institutions a lot of privacy, but often at the cost of transparency and verifiability.
Public blockchains give you transparency by default, but that transparency can become a problem when sensitive financial information is involved.
So the real question isn’t simply:
“Can institutions move finance onchain?”
It’s whether they can do it without having to expose everything in the process.
That’s the part of Primus I find interesting.
The idea is to make financial activity and claims verifiable while keeping the underlying information private when it needs to remain private.
Privacy and verification don’t necessarily have to be opposites.
If that balance can actually work at scale, it could make the institutional version of onchain finance look very different from what we have today.
I’m going to spend the next few posts breaking down how Primus is approaching that problem, starting with the technology behind its verification layer.
Be part of it too; s.kaito.ai/EhhSL0u
Red1 retweeted
Choo Choo’s journey hasn’t been an easy one.
Behind solana:EJAxERvKU4kEVXn3NarjvRtgaMaJyP9ZuMeKA7JJpump is a real rescue dog with a story that deserves to be told.
Follow @ChooTheRescue to keep up with Choo’s journey.
