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good morning CT โ๏ธ
been waiting for the Startale Card? Card Chase is the current way to move up the waitlist
@StartaleGroup runs it from November 2-10, and you can move up the waitlist by inviting friends and completing quests together.
friends bridge USDC, swap into USDSC, and deposit into Earn. each completed quest gives you a rank boost.
you can also get an extra daily boost by holding $50+ USDSC in the Earn vault during the campaign.
anyone here joining the chase?
Root ๐ retweeted
Good night, CT.
Most people have a phone that spends hours doing absolutely nothing.
Maybe it's sitting on a charger overnight or an old Android collecting dust in a drawer.
Acurast gives those devices another possible use.
Instead of using smartphones only for everyday activities, Acurast allows compatible phones to contribute computing power to applications running on its decentralized network.
There are two ways to participate:
โ Processor Lite: Use your everyday Android or iPhone during idle time while keeping your apps and personal data.
โ Processor Core: Turn a compatible spare Android into a dedicated computing device. This requires a factory reset.
What's interesting is that your phone doesn't need to be a brand-new flagship to participate. Acurast benchmarks devices based on their hardware capabilities to determine their share of base ACU rewards.
And yes, base rewards are available without staking.
I like the idea of putting hardware people already own to work instead of letting it sit unused.
Not every phone needs to become a dedicated Processor. Sometimes, simply contributing during idle hours is a more practical starting point.
More research to come @Acurast
๐ค Paid partnership
The @Acurast Creator Leaderboard is live on Nucleus!
๐ $15,000 in stablecoins for the Top 100 contributors
๐
Nov 12 to Dec 12
Help grow a decentralized cloud powered by phones and earn $ACU for the compute you provide.
Join ๐
nucleus.codes/
Root ๐ retweeted
Good morning, CT. Happy Friday.
Everyone loves seeing what an AI agent can do on its best day.
The impressive demo. The successful trade. The perfect screenshot.
But I think the more important question is what happens on its worst day.
That's what caught my attention about @meetmotes .
Each Genesis NFT is connected to its own dedicated Smart Account, designed to let an AI agent execute onchain activities within rules set by its owner.
You define the spending limits.
You control execution permissions.
You decide the agent's risk exposure.
The idea is simple: give an agent room to operate without handing over unlimited control.
Motes is building toward an ecosystem where these agents can interact with DeFi, tokenized assets and prediction markets on Robinhood Chain.
Of course, the real test will be how these safeguards work in practice as the system develops.
Autonomous execution doesn't have to mean giving up control.
Your NFT. Your AI Agent. Your Rules.
More research to come.
๐ค Paid partnership
Your NFT. Your AI Agent. Your Rules.
Motes connects each Genesis NFT to a dedicated Smart Account, designed to execute onchain strategies within owner-defined permissions.
โข Define spending limits.
โข Set execution permissions.
โข Control your Agent's risk exposure.
Autonomous execution doesn't mean giving up control.
Root ๐ retweeted
Most platforms reward the loudest accounts. Rarelist rewards real contribution.
Creators join campaigns, create content, and climb public leaderboards. Rewards are paid in USDT. RARS points track your activity in real time. The system is simple and the results are visible.
@onlystreetsfun campaign is live until November 17. OnlyStreets turns real life moments into coins. You capture something with the in app camera, give it a name, and launch it. Gallery uploads are not allowed. The prize pool is 1,000 USDT plus a token airdrop for the top 200.
Rarelist has already completed multiple campaigns and paid out rewards. Season 1 is still running for creators who stay active.
โ Rewards based on real participation
โ Public leaderboard with clear ranking
โ USDT prizes already being paid
โ OnlyStreets campaign open until November 17
โ RARS points tracked in real time
Projects find creators. Creators find projects. The process is clear and the rewards are public.
rarelist.io/r/CryptoEarner12
@rarelistio
๐ค Made with AI
Root ๐ retweeted
good morning :)
A peaceful morning, a fresh start and a little time to explore what's happening in crypto.
Today, two things caught my attention.
@Hypesium has a Turbo mode designed to send prepared sniping transactions as soon as a pool creation event is detected. It skips the usual simulation step, which makes speed a priority but also changes the risk involved.
Meanwhile, @RebateLaunch takes a different approach with its Rebate Pad. At least 7% of a launch's token supply is reserved in a locked treasury to support buyer bonuses.
One focuses on faster execution, while the other builds bonus funding into the launch structure.
Different approaches, both worth understanding before participating.
Wishing everyone a calm and productive day!
good reward system needs more than a way to calculate payouts. It also needs clear rules for handling smaller amounts.
I noticed two different approaches from @Hypesium and @RebateLaunch.
On Hypesium, trading fees below 0.001 HYPE aren't collected immediately. Instead, the amount carries forward and is collected with a future trade.
RebateLaunch takes a balance-based approach to holder rewards, factoring in eligible wallet balances and holding duration, with a minimum holding-value requirement.
One focuses on fee collection, while the other focuses on reward eligibility.
Different problems, but both show why the small details matter.
Clear thresholds and predictable accounting can make a big difference in how users experience a crypto product.
Root ๐ retweeted
Good morning โ๏ธ
One limitation of AI is easy to overlook.
A model can understand a city through maps, images, and datasets, but that does not mean it knows what is happening on the ground right now.
A road may have changed. A building entrance may be inaccessible. A warehouse layout may no longer match its existing documentation.
These are not problems that can always be solved by generating another response.
Sometimes, the missing piece is a person who can physically verify what exists.
This is where @vangrid_io introduces an interesting approach.
Instead of treating human participation as something outside the agent economy, Vangrid creates a way for software agents to request real world work and compensate contributors for completing it.
That changes the relationship between digital intelligence and physical infrastructure.
AI agents can focus on reasoning, planning, and identifying what information they need. People can provide the local presence, observation, and physical execution that software alone cannot deliver.
The result is a potential feedback loop:
AI identifies an information gap.
A real world contributor helps fill it.
The collected information becomes useful input for future decisions.
I think this is an important direction for Physical AI.
Building smarter models is only one part of the challenge. Giving those models access to reliable, current information about the physical world is another.
And that is a problem worth solving.
๐ค Paid partnership ยท ๐ค Made with AI
Root ๐ retweeted
I was talking to my brother today about making some extra money.
I asked him if he knew any interesting opportunities worth exploring.
He said, "Why are you only looking at traditional ways of earning? Have you checked out OnlyStreets?"
Then he explained the concept.
With @onlystreetsfun, you can capture something interesting in real life, give it a name, and launch it as a coin on Solana.
I honestly hadn't thought about turning everyday observations into something like that.
Now I'm curious to see what people create when the platform goes live.
Maybe my next interesting discovery deserves more than just a photo in my gallery.
๐ค Paid partnership
Root ๐ retweeted
Most AI systems log an agentโs actions, but only after the task is complete, meaning the damage, if any, has already been done.
@Actum_system reverses this sequence: verification happens before the action is recorded.
Before any task is logged, it must pass a six-point check: Is it happening at the right time? In the right place? Does the agent have the necessary authorization? Is the task on the approved list? Are all required resources available? And are the steps being followed in the correct order?
All six conditions must be met; if even one fails, the task is blocked. Furthermore, if an agent attempts to step outside the established rules, a circuit breaker is triggered.
There are additional safeguards at both ends of the process. Rules are locked in place before any task begins, ensuring they cannot be altered mid-execution. Additionally, any high-risk action requires explicit human confirmation before it can proceed.
The core philosophy of this framework is simple: it is better to stop a potential issue at the threshold than to investigate the cause after the damage is done. Moreover, once an action is logged, it is recorded in a way that ensures it cannot be altered later.
#ACTUM
๐ค Paid partnership
AI agents are no longer just chatting; they are executing real-world workflows and modifying actual parameters.
So, when an error occurs in a production environment, who is truly responsible?
I believe this question is often approached from the wrong angle. We tend to focus on whom to blame, but before we can assign responsibility, we must first answer a more fundamental question that many organizations cannot currently address: what exactly happened?
On what information did the agent base its decision? Under what authorization did it act? Was there any human oversight during the process, or was it entirely automated? Without these answers, discussions about accountability devolve into mere speculation and finger-pointing.
The core issue, therefore, is not that an agent makes mistakes, after all, humans make mistakes too. The real problem is that, once an error occurs, it is often impossible to reconstruct the sequence of events in a reliable, verifiable way.
This is precisely where @Actum_system comes in. Every authorization, every action, and every outcome is recorded in a manner that is immutable and independently verifiable. In such a scenario, accountability is no longer a matter of debate; it can be determined based on concrete evidence.
Because true accountability begins the moment the truth can be uncovered.
#ACTUM
Root ๐ retweeted
๐โโ๏ธ $SAI = Super Artificial Intelligence
Straight up the ticker that just says the whole AI race in one wordโฆ
This is a Super AI meme coin building to push past what the regular generic AI models can do. Not just another logo, they got prediction games first where AI creates the content and everybody predicts who wins
True fair launch ๐โโ๏ธ 1B supply, 0% tax, 0% team, locked liquidity, clean. Meme today, app tomorrow. Launching 20 Nov on pump.fun
App by @NEXST_AI (beta already running with the AI only social + prediction market)
That rhino mascot already my Super AI. Big, unbothered, charging through every other model like they not even there
@sai_superai @NEXST_AI @TheCreatorFi
โจ$SAI #ad
๐ค Paid partnership
Root ๐ retweeted
$STRATO tokenomics is about more than just how the supply is distributed.
According to STRATOโs official documentation, the token has a fixed maximum supply of 100 million.
Two figures stand out:
55.2% is allocated to community categories.
21.7% is listed as the circulating supply at TGE.
These figures represent different things. A large community allocation does not mean the entire amount enters circulation at launch.
The utility roadmap also deserves a closer look:
Staking: Implemented on chain and active on testnet. Stake weighted consensus and block rewards on mainnet are tied to the activation at block 1,000,000.
Gas: Transactions currently cost 0.01 USDST or one voucher. Paying network gas in $STRATO is part of the planned design.
Borrower benefits and governance: Both are intended utilities, but they are not yet implemented in the protocol contracts.
I think this distinction matters when evaluating a token.
Supply allocation tells us how tokens are distributed. Actual implementation tells us how the token participates in the network.
For @strato_net i would pay attention to both rather than treating every planned utility as an active feature.
Root ๐ retweeted
one wallet is simple to manage. multiple wallets introduce a different kind of operational challenge.
@Hypesium supports creating, naming and grouping wallets. users can also collect funds from a group into one wallet or distribute funds across multiple wallets.
now look at @RebateLaunch from the launch side.
its holder reward mechanism evaluates eligible wallet balances and holding duration. that makes wallet-level organisation an important detail for anyone participating through more than one address.
here's the practical connection:
a trader might use separate wallets for different strategies, manage their funds through hypesium, and participate in a rebatelaunch campaign from selected addresses.
but splitting funds across wallets doesn't automatically mean rewards are combined or eligibility is preserved. the applicable wallet-level rules still matter.
i find this an underrated part of crypto UX.
supporting multiple wallets is easy to advertise. helping users understand how those wallets interact with funding, participation and reward eligibility is where the real product experience gets tested.
Root ๐ retweeted
โฏโฏ ๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐พ๐๐๐๐ ๐๐ ๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐. โฎโฎ ๐งต 1/13
-----------------------------
(Shall we talk about the weirdest resume on Web3?)
Even if a creator spends hours researching protocols, they are often ultimately evaluated based on a single number on their profile.
> Follower count.
But does that number really tell you what that person is actually capable of? ๐
Root ๐ retweeted
Elysium์์ ๋ฐ์ํ ์์๋ฃ๊ฐ ๋ค๋ฅธ ์ฒด์ธ์ ํ ํฐ ๊ณต๊ธ๋์ ์ํฅ์ ์ค ์ ์์๊น์?
1. @RebateLaunch ๋ Elysium์์ ํ๋ซํผ ์์๋ฃ๋ฅผ HYPE๋ก ๋ชจ์ ๋ค Robinhood Chain์ผ๋ก ๋ณด๋ด $REBATE ๋งค์ยท์๊ฐ์ ์ฌ์ฉํฉ๋๋ค.
2. @Hypesium ์ Elysium ๊ฑฐ๋์ ์ง์คํ๋ฉฐ, ์ฑ๊ณตํ ๊ฑฐ๋์ ํ๋ซํผ ์์๋ฃ๋ฅผ ๋ณ๋ ์จ์ฒด์ธ ํธ๋์ญ์
์ผ๋ก ์ง์ํฉ๋๋ค.
๊ฐ์ ์ฒด์ธ์์ ๋ฐ์ํ ์์๋ฃ๋ผ๋ ์ดํ ์ฒ๋ฆฌ ๊ฒฝ๋ก๋ ๋ค๋ฆ
๋๋ค.
๊ฑฐ๋ ๊ธฐ๋ก๋ฟ ์๋๋ผ ์๊ธ์ ์ต์ข
๋ชฉ์ ์ง๋ ์ดํด๋ณผ ๋งํฉ๋๋ค.
Root ๐ retweeted
Good morning, everyone!
a new day fresh ideas and new opportunities.
Love seeing @rarelistio bring creators and projects closer through meaningful participation.
Stay creative and keep growing with @onlystreetsfun
Rise & shine everyone
Every new day brings a fresh chance to learn, create, and move forward.
Glad to be part of the @rarelistio community, where creators can discover new projects and exciting opportunities.
I'm especially looking forward to seeing what @onlystreetsfun brings next.
Wishing everyone a productive and positive day!
Root ๐ retweeted
This is the mistake almost every new @sight_hood user makes once.
You open Sight. You connect your wallet. You have ETH. And your balance shows zero.
Not because Sight is broken. Because your ETH is on the wrong network.
Sight operates on Robinhood Chain. To place a prediction, pay gas, receive a payout, or claim funds, your wallet must be connected to Robinhood Chain and funded with native ETH on that network.
ETH on Ethereum Mainnet does not automatically appear as your Sight balance. ETH on Ethereum Mainnet and ETH on Robinhood Chain exist on separate networks. Same name, same symbol, different network and they do not move by themselves.
So before your first prediction, you must transfer or bridge your ETH to Robinhood Chain. Use a compatible bridge that supports transfers to Robinhood Chain. Or, if a centralized exchange supports direct withdrawals to Robinhood Chain, you can send ETH directly to your wallet on that network.
Two checks before you confirm anything:
Verify the destination network. Always verify it before confirming a bridge or transfer. Do not select Ethereum Mainnet or another network unless you specifically intend to receive the funds there.
Leave a little ETH for gas. Your prediction, your claim, and your gas all run on native ETH on Robinhood Chain. Bridge the stake, and keep a small amount aside for gas.
And the warning Sight writes in its own docs, in plain words: Sight cannot recover funds sent through the incorrect network.
That is why this post exists. Not to teach you a strategy. To save you from the one error that stops you before you even start: having ETH, on the wrong chain, with a zero balance on Sight.
Bridge first. Check the network. Then predict.
Creator Season 1 is live. Create about Sight and robinhood:0x238e40b75ae78a1388a14e517d855893e92e58db, earn points and compete for USDC and other rewards.
creator.sighthood.com
Root ๐ retweeted
Good Morning Friends..
I've been exploring @agenticscredit and one thing that caught my attention is how it approaches trading credibility.
Traditional lending often starts with collateral. But what if your trading history could demonstrate how responsibly you manage capital?
That's the idea I find interesting here.
Instead of immediately risking personal funds, you can start with $10K in simulated capital, test strategies, and let your trading behaviour build a measurable record.
Root ๐ retweeted
Primus builds a verification + privacy infrastructure layer based on zkTLS and FHE. It does not create a new chain but plugs into existing ecosystems (BNB Chain, Base, etc.).
@primus_labs ๐ s.kaito.ai/mfqwjes
Proof of Reserves (PoR): Allows stablecoins, exchanges, and custodians to cryptographically prove their reserves without exposing detailed books. Already live with Unitas (USDu) and Perena (USD*) together with Brevis.
Confidential Finance / Confidential Vault: Converts stablecoins into encrypted versions (e.g., $U โ $EU). Users can transfer and stake for yield while keeping balances and transaction amounts private on-chain.
Trusted Credit & AI Agent Verification: Enables verification of income, identity, trading behavior, or AI agent actions without revealing the underlying raw data.
Loyalty Program / AlphaNet: Lets users create a Web3 profile by bridging verified private data on-chain and building a Reputation Score.
Hailuo, CapCut, and Dreamina Now Live on Proof of Creation
Primus has added Proof of Creation under the Agentic Ara section of AlphaNet. Users can now verify their video creation count on three AI video platforms.
Current Traction of Primus
Over 1 million users (extension + Dev Hub + zkTLS apps).
Over 10 paying enterprise customers (stablecoins, AI, L2s, socialsโฆ).
Over $72 million in value verified through Proof of Reserves across 4 production projects.
Raised $6.5 million (pre-seed + seed) led by Dispersion Capital, Symbolic Capital, VanEckโฆ and incubated by YZi Labs.
๐ Primus operates on a B2B2C model: enterprises pay for setup + API access, network activity generates fees, and builders use the Dev Hub to integrate. This is infrastructure with real users and revenue, not just narrative.
Primus @primus_labs is turning private off-chain data into verifiable on-chain credentials.
How to join the Confidential Infra for Institutional Onchain Finance?
๐ s.kaito.ai/mfqwjes
Through zkTLS, you can prove real activity without exposing the raw data:
โข Last 30d PnL on Hyperliquid, Polymarket, fomo
โข KYC & VIP level on Binance, OKX, Bybit, Bitget
โข AI usage (OpenAI messages, Cursor/MiniMax/DeepSeek token usage)
โข Identity across X, GitHub, LinkedIn, Google, Spotifyโฆ
โข Nomad life signals (Discord timezone, LinkedIn location, GitHub activity)
This is what โVerification prove what needs to be trusted, including financial information held off-chainโ actually looks like in practice.
Your data stays private.
The proof becomes usable.
Your Data, Your Asset
Create your Web3 profile by bridging verified private data on-chain.
Root ๐ retweeted
Your phone does more than run apps, stream videos and store photos. It also has computing power that developers can put to work.
That's an interesting part of what @Acurast is building.
Developers can run applications across a distributed network of smartphones, with hardware-backed security helping verify participating devices.
I also found the Laya Tetris demo interesting. It shows an AI model running on an Android phone to choose a move in the game.
Another detail worth understanding is that device rewards aren't simply based on connecting a phone. Hardware benchmarks, active time, periodic heartbeats and assigned workloads all play a role.
It makes me curious how much useful computing an ordinary smartphone can contribute when it's not being used.
A different way to think about the processing power already in our hands.
๐ค Paid partnership
Root ๐ retweeted
35.3M @RebateLaunch TOKENS HAVE BEEN BURNED
The total burn has reached 35,300,000 $REBATE , equal to 3.53% of the initial 1B supply.
Hereโs how the model works:
โ Maximum supply: 1B $REBATE
โ Total burned: 35.3M
โ Remaining supply: 964.7M
โ No mint function
โ Canonical token stays on Robinhood Chain
HOW THE BURN WORKS
Platform fees fund the buyback system.
โ 40% is used for market buys and burns.
โ 60% is placed as lower limit bids and burned when filled.
Fees from supported trading activity across Robinhood Chain, HyperEVM and Elysium are routed toward the same @RebateLaunch burn system.
WHY IT MATTERS
These burns are funded through platform fees and token purchases, not simply by removing unused treasury tokens.
As more tokens are bought and burned, the remaining supply decreases.
The key thing to track is whether real trading activity continues to generate enough fees to sustain this process.
One supply. One burn system. 35.3M tokens retired.
curious and learning something new daily
@Hypesium
6 NEW STOCK PAIRS ADD MORE OPTIONS TO REBATE PAD
@RebateLaunch is expanding its RWA base-pair options on Robinhood Chain.
The new additions include:
โ $AAPL โ Apple
โ $AMC โ AMC Entertainment
โ $HIMS โ Hims & Hers
โ $AMD โ Advanced Micro Devices
โ $TTWO โ Take-Two Interactive
โ $MSTR โ Strategy
Each stock brings a different market narrative to token launches.
WHAT EACH PAIR BRINGS
โ $AAPL: Consumer technology and a major global brand.
โ $AMC: Retail trading and meme-stock culture.
โ $HIMS: Consumer health and growth stocks.
โ $AMD: AI, chips and semiconductor exposure.
โ $TTWO: Gaming and the GTA VI narrative.
โ $MSTR: Bitcoin-related market exposure.
HOW THE MODEL WORKS
โ Creators can launch tokens against these stock-token pairs.
โ Buyers can receive bonus launch tokens.
โ Holders can receive rewards in the paired stock token.
โ Trading fees feed into the shared $REBATE buyback-and-burn system.
WHY THIS EXPANSION MATTERS
Creators now have more choices when selecting a base pair for their token.
An AI project can use an AMD pair, a gaming project can use TTWO, and a meme-focused launch can use AMC.
Different stock pairs bring different narratives, but the platform keeps one shared $REBATE burn model.
More pair options, one common token economy.
@Hypesium
Root ๐ retweeted
@RebateLaunch has now expanded to HyperEVM.
I looked into this update, and the interesting part is that Rebate Pad has kept its main reward system the same while making a few changes to fit the new chain.
Users can now launch and trade tokens on HyperEVM using HYPE, USDC, UBTC and UETH.
On this chain, Rebate Pad uses Ramses DEX instead of Uniswap v4.
The main rewards are still the same. Buyers get bonus tokens on every buy, and holders earn payouts from trading activity (HyperEVM pe roughly once a day, HYPE ya USDC mein).
But one thing I found more interesting is how the fees work.
The fees made on HyperEVM are sent back (bridged) to Robinhood Chain, where they help buy and burn $REBATE.
There is no separate or wrapped $REBATE token on HyperEVM. The project still has one token supply on Robinhood Chain.
So, Rebate Pad is bringing its reward system to a new ecosystem while keeping everything connected to the same $REBATE token.
For me, this is an interesting step towards growing across multiple chains without splitting the token supply.
@Hypesium
Root ๐ retweeted
AI agents need more than intelligence. They need clear boundaries and accountability.
That is what makes @meetmotes an interesting project to watch. Each Genesis Mote is designed to connect with its own AI agent and smart account, where the owner can define trading permissions, spending limits, and risk controls.
I really like this approach because automation should not mean losing control. Giving users the ability to set rules and monitor their agent's activity is an important part of building trust in onchain finance.
20,000 Motes. 20,000 dedicated AI agents. One vision of more controlled autonomous finance.
Looking forward to seeing how this ecosystem evolves.
@meetmotes $MOTES
