Stellar Rises (🌅☂️)

@advait_jayant Excited for you guys and looking forward to TGE, and OpenGradient coming fully live

We are excited to be the first-ever a16z CSX company to ever TGE!

@edward_evm @andrey_versus а есть информация как стать валидатором в ПризмаХ (требования и тд)?

@andrey_versus Если у вас есть вопросы, то задавайте If you have questions regarding the project , feel free to ask

@Arcium Encryption all the way

Encrypt the markets.

@0xdarkXBT verifiable inference is essential, no more blind trust thanks to OpenGradient

ever wonder why running AI onchain feels so complicated rn cuz most chains weren't built for it regular blockchains handle token transfers fine but AI inference is a completely different thing, it is heavy, it needs GPUs, and it produces outputs that are hard to verify so most teams either skip verification entirely or build their own custom setup from scratch @OpenGradient is basically an AI coprocessor network for other apps, agents, and chains / instead of every system figuring out compute on their own, they can just outsource it to a dedicated set of GPU and TEE nodes that are purpose-built for AI workloads / models get uploaded to a permissionless hub, versioned, stored on decentralized storage and become immediately ready to run. no gatekeepers / execution happens on inference nodes with GPUs and TEEs. you can reach them through Python SDK, smart contracts, or standard HTTP(x402) / after execution the network generates cryptographic proof via TEE attestations or zkML. full nodes verify the proofs without re-running the computation. results settle onchain as auditable primitives any external system can use i think the part that actually matters is the verification layer. most AI setups give you an answer and you just have to trust it. here every inference has cryptographic evidence behind it yk it is basically turning AI compute into something composable that any chain or app can plug into without rebuilding the whole stack

@opengradientfnd gAI, thanks for sharing tokenomics, exciting times ahead!

@sam_battenally Rising higher, becoming stronger

Yesterday was at 200Mgas/s Today we're at 400Mgas/s! By gas usage, we're 4x Ethereum and all other L2s combined

@CryptovedWAO 👾

The logic is simple, the math is mind-blowing, and the gameplay is 10/10. Are you just an NPC, or the main character? Drop a '👾' if you're ready to level up your reality.

Oxford’s Nick Bostrom says there’s a 99% chance we’re living in a Simulation. But here’s the twist: that makes life the ultimate sandbox. If our reality is a masterpiece created by a future civilization, why not treat it like the world’s best quest?

@MoversMap @avaworld16 @Soke_Decentra @movement_xyz @mer_q_tio @craesol @GorillaMoverz Double Moving in da house, looking forward to this AMA

MoversMap x Movement AMA in the Movement Discord ⚡ We’re diving into everything MoversMap 🗺️🔥 • v2 launch breakdown 🚀 • Bounties update 💰 • Beta testing insights 🧪 • Conquest experience 🏁 • + answering ALL your questions 💬 • and maybe dropping some alphas 👀 Time: 9AM PST, Thursday 9th April 🗓️ Venue: Movement Discord Register via the link in the comment below to get notified 🔔 👇

@hsunami10 how about this question below? We suspect coordinated Sybils farming Discord roles with matching join clusters and low-quality generic replies. What current 2026 detection methods go beyond generic analytics, and how do we quietly purge without scaring real users?

6/ Only Expertly got the actual operator details right: • Join-timing clustering as a bot signal • Don’t announce the purge • Soft wallet ask as a passive filter • Friend.tech retention failure as a relevant case study • On-chain Sybil indicator imo It’s the right knowledge base winning. Generic frontier models + thinking still miss when the domain context isn’t there. Built on @OpenGradient What other real operator questions should we test next?

1/ We ran a blind eval of 4 frontier models on a real web3 operator question. The question: "Our Telegram group grew from 2k to 11k in 10 days after a Twitter airdrop. Engagement is still flat. “How do I diagnose bots vs real users, and what do I do either way?" Full report: expertly.so/benchmarks/1/t…

Cool test and quite good results! GPT-5.3 had the cleanest high-level insight, but it still couldn’t deliver the tactical operator playbook that Expertly did. This is what separates helpful AI from actually useful AI in web3 and beyond. p.s. the link give the error, I think you meant to use this one instead expertly.so/benchmarks/web…

@eternia_xx Solid number there bro! You have an awesome account sharing lots of alpha, don't sell it for less than 50!

Not bad 🙂 I'm willing to sell my account – send me a private message ;) I might give you a 10% discount :) ct-worth-tool.surf.computer #Web3‌‌

@Gyokeres_eth very cool, thanks for sharing - added to my tools

How much is your Crypto Twitter worth? I vibecoded a tool with just one single main prompt and some minor changes for more accurate results for you to check how much your Crypto Twitter account is worth and to discover which coin matches your CT personality Made fully with the new @SurfAI Studio feature (not sponsored, just for fun!) Check here: ct-worth-tool.surf.computer

@risechain Speed. UI. Functionality. Composability. Rise unlocking new DeFi levels p.s. loving these colors!

Every other exchange separates the orderbook from DeFi. On RISE they don't. Here's what that unlocks.

@cryptotarolog @OpenGradient looks great mate and very useful, saving time in reading complex legal terms, identifying "small text" caveats and hidden risks, and gives peace of mind by knowing is everyting is verified on-chain through opengradient mechanisms

just shipped my third @OpenGradient project - LexGuard after CV Analyzer and MedResearchAI, I kept thinking about contracts every week someone signs an NDA or employment agreement with clauses they don't fully understand lawyers are expensive and most people just click "agree" without reading the fine print so I built LexGuard - an AI contract risk scanner that flags suspicious clauses and gives you negotiation ammunition all verified on-chain via OpenGradient TEE — THE STACK backend: Python Flask on Railway, OpenGradient TEE LLM with auto fallback (Gemini 2.5 Flash, Claude Haiku, GPT-5 mini) On-chain transaction hash per analysis, document type classification for Employment, NDA, Lease, and Service agreements frontend: vanilla HTML/CSS/JS on Render, drag-and-drop PDF upload, text paste option, risk score visualization, clause-level breakdown with severity indicators — HOW IT WORKS upload any contract as PDF or paste the text → select document type (Employment, NDA, Lease, or Service) → AI reads every clause and identifies hidden risks → returns risk score 0-100 high/medium/low flagged provisions, explanation of what each clause means for you, and specific negotiation recommendations every result includes an on-chain transaction hash and explorer link so anyone can verify the inference happened inside TEE with no tampering — WHY TEE MATTERS normal contract review tools are black boxes that can hallucinate or miss critical clauses with OpenGradient, every analysis is attested on-chain. both parties can verify the AI didn't invent risks or ignore dangerous terms — BUILD HIGHLIGHTS hardest part was getting the OG client stable on Railway through the same SSL cert issues as previous projects document parsing needed careful handling because PDFs come in wildly different formats. model priority system handles 402 errors automatically without breaking the user flow the risk scoring algorithm is strict - unilateral modification clauses auto-flag as high risk, non-compete terms get extra scrutiny based on duration and geographic scope — WHAT IT DETECTS employment contracts: non-compete traps, unilateral salary reduction clauses, vague termination provisions NDAs: perpetual confidentiality, missing exceptions for lawful disclosures, overbroad definition of confidential information leases: automatic renewal traps, disproportionate penalty clauses, maintenance responsibility shifting service agreements: liability caps, indemnification creep, payment term manipulation — EASTER EGG the demo card on the landing page shows a real sample result with a 62 risk score and specific flagged clauses including "non-compete spans 3 years" and "unilateral salary reduction" - scroll through and you will recognize patterns from contracts you have probably signed yourself — try it live 👇 lexguard-lxnb.onrender.com powered by @OpenGradient

@InvestSecrety @risextrade @risechain RiseX looking good indeed, fresh platform with cool UI and full composability with entire Rise ecosystem

Continuing to actively use @risextrade on testnet. Trading free tokens and checking how the product performs in practice. It’s a next-gen DEX for spot and perpetual trading built on @risechain , focused on speed and a clean UX, which is still rare You can see the team is moving fast. They recently updated the logo and it all looks like preparation for mainnet. If you haven’t tried it yet, now is the time to jump in and test it yourself @InvestSecrety" target="_blank" rel="nofollow noopener">testnet.rise.trade/join/@InvestSe… @rise_ecosystem @0xxenonicle @sashaaa @sam_battenally @degenRobot @hai_rise

@AttentionX_fun @risechain interesting mechanics, gonna test it out

Upgrade or Burn It... Introducing Card Levels to AttentionX⬆️ Live at app.attnx.fun on @risechain💜

@lilybillionaire looks delish, good job Lilly, bet it tasted good too

Lily in the kitchen today Bánh mì is my favorite dish, and today I made it myself I wanted to share a simple version so you can try it anywhere in the world, even if you don’t have all the “authentic” ingredients. 1⃣Ingredients: - Bread (any kind of baguette works) - Veggies: cucumber is a must. You can add herbs like basil or green onion if you have them (if not, cucumber alone is totally fine) - Vietnamese beef sausage (or just use any sausage you have, adding a fried egg makes it even better) Or you can use grilled pork, grilled beef, roast pork instead of sausage - Chili sauce - Pâté - Sauce: I keep it simple: fish sauce + chili + garlic + a bit of sugar → No fish sauce? Use soy sauce → No soy sauce? Just mix any salty seasoning you have and adjust to taste 2⃣How to assemble: - Spread chili sauce + pâté inside the bread - Add veggies - Add sausage (or meat) + fried egg - Drizzle a bit of sauce - Heat it up slightly (warm bánh mì just hits different) Enjoy it with an iced milk coffee, that’s one of our typical breakfast. Bon appétit

@Icarus_Fi weRise

Real onchain execution changes what’s possible. Systems like this need a liquidity engine. Soon. weRISE

@sam_battenally @risextrade New height is achieved , looking forward to the same records for TVL and MC. gRise!

We did it fellas!!! RISE is now using more gas than Ethereum and all L2s combined All from one app, @risextrade. Yes, on mainnet. And no, we’re not spamming transactions for engagement. This is what fully onchain orderbooks demand

@flxthesixth @shirennft

should i drop @shirennft's web now, gangsta?