🚨 BIG NEWS HertzFlow mainnet is officially here. We are building the future of trading, and the next few months are going to be legendary. From pre-deposits to TGE. here is the breakdown of what’s coming. 🧵👇

Our @UpscaleTrade prop firm trading class starts in less than 30min. Join the TG group and get set! t.me/RTAcademyyy $5k prop ACC giveaway💰🤑💰 after the class We kick off by by 10pm UTC+1 Like, retweet and tag your friends

The interesting thing about Rokha isn’t another AI agent. It’s the execution layer underneath them. Rokha is building a runtime where agents can discover skills, call MCP tools, execute them in isolated environments, and leave a trace of what actually happened. That changes the equation: Skills are everywhere. Execution is the bottleneck. $ROKHA is building the kitchen where those skills actually run. And with MCP its registry SDK/CLI, it’s making that execution layer accessible beyond Rokha itself. That’s a much bigger thesis than AI agents. $ROKHA @Rokha_ai @GoblinBuilds

privacy and verification, finally got a solution, have we ever thought why proving something true require giving up one's privacy? Primus is giving an edge to what has gone against institutions for years, a way to prove something is true without exposing what it is. That single gap: privacy and verification treated as opposites is why serious capital has stayed cautious about onchain finance. verification without privacy means exposure, if proving a fact about your data requires revealing the data itself, no institution should sign up. A bank isn't publishing client balances just to prove solvency. And privacy without verification means no trust, if you can hide your data but can't prove anything true about it, that's not privacy, it's a black box counterparties can't rely on. Institutional activity needs both at once, that's the exact problem @primus_labs is solving, using zkTLS and zkFHE to verify off-chain data cryptographically without revealing the underlying inputs. Primus treats privacy and verification as the same requirement solved together, not a trade-off which institutions have to accept.

999 SMBs 🐒 Minting 26th Sept - 4PM UTC Launchpad: @Opensea Collaborations Closes - 6PM Today Send Your Address & RT For A Slot (Last Chance)

RT @thatsameblavk: Giving away 7x GTD for @SpookilyMB minting tomorrow on Robinhood chain. To Enter: ✅Follow @SpookilyMB | @0xChadsRepubli…

💰🤑 @UpscaleTrade do pays it Traders No KYC is need to create and account. You can get the least $1000 ACC for $15 only And you can be able to withdraw Big Start here: app.upscale.trade?ref=D526F Join here for Signal: t.me/RTAcademyyy

4x locked in Don't play with my idolo 👏👏

$AERENT - 0xea25747f0f4ab4f749948c73d6dcd40e86db700d Aerent Marketplace $AERENT governs onchain asset rentals, stock tokens, stablecoins, NFTs on Robinhood's L2. ⚡ Built on Robinhood Chain, an Ethereum-compatible L2 bridging traditional markets and crypto. Dev tokens burnt, no unlock schedule.

🚨 JUST IN 🚨 Binance just posted about MrBeast’s ( $BEAST ) coin. I warned you all… and now it finally happened. Only 16 hours until $BEAST launches 🌎 Official Presale: Mrbeastsol.com Telegram: t.me/+vnWMGwpzT6RiNTEy Sources confirm a $3 launch price – do the math yourself on how many X that is.

ok who approved this early access @hypestgg [drop your card below👇]

👀

Last chance to get in early. No invite code? Drop a reply

Want to post one of this in the next few hours/days Stay tuned

@CreditsUni has a total supply of 15,000 NFTs. The Free Mint goes live on September 27 at 9 AM GMT on OpenSea. To register for the Whitelist, complete the steps below: 1/ Join at creditsuni.art 2/ Complete the required X tasks 3/ Send 0.00005 ETH on Robinhood Chain to "0x7a54989690395486b52E4Be7b5446b665D9E026E" to register for WL. The WL list will be updated on OpenSea 2 hours before mint.

Onchain analysis becomes easy with @Hertzflow_xyz , It's building a forensic layer between the CA and the decision. Analyzing Hertzflow skills: skill.hertzflow.xyz Most token analysis starts with price, volume, market cap and liquidity. HertzFlow Skills takes a different approach: start with the wallets and follow the supply. The Alpha Forensic skill is built for Binance Alpha-listed tokens and can investigate BSC, Ethereum, Arbitrum, Base, Polygon and Optimism. You paste a CA and the pipeline can trace project-linked wallets, pre-launch distribution, downstream transfers, recent 72h anomalies, wallet clusters, funding sources and confirmed insider sell-out activity. The useful part is the classification of the current holder structure. Instead of treating every wallet as “retail,” the report separates roles such as deployer, treasury/vesting, quiet insider, partial dumper, CEX custody, DEX liquidity and other holders. It also traces the project's wallet lineage showing which wallets received tokens from the deployer, how much they still hold and how much has already moved. Then it looks at real distribution, using confirmed insider transfers into CEX deposit addresses and direct DEX sells rather than simply assuming that every large transfer equals selling. There is also a 3-way chip view: 📌Operator / CEX pool / verifiable retail. That gives you a better picture of where the circulating supply actually sits. Another useful layer is the anomaly analysis. The system groups meaningful movements into pre-launch OTC seeding, downstream redistribution and recent 72-hour activity, making it easier to identify whether distribution appears finished, ongoing or recently starting. HertzFlow also detects connected wallet clusters and provides funding-source attribution for high-value wallets, helping distinguish wallets that received tokens through minting or P2P transfers from wallets that actually acquired them through DEX activity. Then comes the practical side: The report calculates a maximum single-tranche entry size at 5% slippage using Binance Alpha's official depth data and generates a monitoring list of wallets that can be tracked afterward. And importantly, the architecture isn't simply ask an AI what it thinks. The deterministic Python pipeline owns the underlying data and evidence. The LLM fills predefined narrative slots. A validator checks those outputs against the evidence before the final report is rendered. So the product isn't trying to replace the trader with an AI buy/sell signal. 📌📌📌📌📌📌 Don't just ask where price is going. First understand who controls the supply, where the tokens are moving, and what the on-chain evidence actually says.

RT @thatsameblavk: Top Chads DAO × AuraSea 5 AuraList spots for up for grab. Requirements: ✅Follow @auraseaonly | @0xChadsRepublic ✅Like…