Rally just landed on Robinhood Chain
I’d love to see @Uniswap run a Rally campaign next. Uniswap is already live on Robinhood Chain and serving as a primary public AMM, making it a natural project to bring more users and builders into the ecosystem.
RALLY IS LIVE ON ROBINHOOD CHAIN 🚨
Robinhood built an AI-native chain, so we brought the AI-native attention layer to it.
Starting today, any project on @RobinhoodCrypto can fund a Rally campaign with its own token and put 150K+ creators to work on its story.
Welcome 💚
Day by day, I’m understanding more about what @primus_labs is actually building.
One of the biggest problems in Web3 is that most useful data still lives on regular websites and APIs outside the blockchain. Account balances on exchanges, trading history, income records, credit scores, or data that AI agents need all sit behind TLS-protected endpoints. Bringing that data onchain creates an immediate challenge: how do you prove it’s real and hasn’t been tampered with, without forcing people to expose their private information?
Primus is tackling this with Data Verification and Computation (DVC).
Their approach combines two technologies. zkTLS adds zero-knowledge proofs to the standard TLS protocol so you can cryptographically prove that data came from a genuine website or API over a real, authenticated connection and hasn’t been altered. It does this without modifying the original server and without revealing the full content, credentials, or session details. Once the data is verified as authentic, zkFHE (zero-knowledge fully homomorphic encryption) lets systems perform computations directly on the encrypted data. The results stay encrypted and can be proven correct, so sensitive details never need to be revealed.
Think about a trader who needs to prove specific parts of their trading history to a DeFi application or protocol. With this setup, they can show exactly what the app needs to see while keeping the rest of their account history private. Or consider an institution proving its reserves across both onchain positions and offchain custodian accounts without broadcasting every operational detail. AI agents can also prove they fetched the right data from the right source and followed required steps, without leaking the underlying information.
This opens up more practical possibilities for onchain finance, digital reputation systems, confidential credit, and AI applications that depend on reliable real-world data. It also helps institutions move more activity onchain because they no longer have to choose between transparency and privacy.
What stands out to me is the way privacy is being framed here. It’s not only about hiding information. It’s about making data useful and verifiable while still protecting what doesn’t need to be public. That distinction feels important for how Web3 evolves.
Still learning more about the full stack, but this is a core piece of what @primus_labs is building.
@SAPrincessShoes@TexrTrades The community hype is definitely building The tokenomics and launch plans sound interesting, but execution will be what matters most. Let’s see how November 2 plays out.
Extremely bullish on $TEXR.
@TexrTrades already proved the playbook by flipping $100 into $700k, and now he’s launching his own coin on November 2nd at 1 PM EST. 80% of the supply locked, no insiders, no snipers, and an airdrop going out to early followers who drop their SOL addresses.
I’ve been watching the buildup all week and this one feels different. If the community shows up the same way they have for his previous calls, we could see a real run. Still early. Still time to get positioned before the launch.
Who else is locked in for Nov 2?
@CryptoJobsList@saifuro_finance I will like to be among those that will offered this kind of work because all your previous project are very good and impressive.