Download the Beta Preview now: zyva.dev 🚀 Chapter 1: What is ZYVA? 🛠️ ZYVA is a hybrid AI coding tool. The concept: The "prompt-to-app" automation of Lovable, combined with the full control of a real VS Code environment. Today, our Beta Preview app is officially ready to download (Windows, macOS, Linux) for local-first execution. 🔥 THE 3-DAY GIVEAWAY MOMENTUM (JUNE 15-18): @0G_labs is giving away 3 days of FREE access to the MiniMax-M3 model on 0G Private Compute. To match that energy, we are doing our own giveaway! We are using our $20k infra runway to give you FREE Cloud Sandboxes (8 vCPU • 8GB RAM) to run it. Experience the free 0G MiniMax-M3 natively inside a VS Code browser UI, without melting your local machine. Secured by SOC 2 Type II & HIPAA providers. (Chapter 2: How ZYVA uses the 0G stack for persistent AI memory 👀 cc: @dragon888 @michaelh_0g)

Most AI coding tools force developers to choose: • one model only or • manually switch between models. ZYVA is built differently. “ZYVA” is not a single AI model — it’s an orchestration layer that automatically routes coding workflows to the best AI system behind the scenes. Example workflow: • DeepSeek-V4 → code generation • Claude Fable-5 (still ready and hardcoded for optimal results from digitalocean itself) → verification & architecture review • additional models → testing, optimization, and fallback handling Developers simply choose: → ZYVA Behind the scenes: prompt → route → generate → verify → optimize → preview Powered by DigitalOcean routing infrastructure for: • intelligent orchestration • optimal fallback management • stable verification pipelines • scalable cloud execution For developers who want full control, ZYVA also connects directly to the 0G ecosystem via pc.0g.ai: • MiniMax-M3 • GLM-5.1 • Qwen 3.7 Max • DeepSeek-V4-Pro Built with: • verifiable inference • secure TEE execution • decentralized AI runtime 0G is also providing FREE MiniMax-M3 access from June 15–18 ⚡ And yes — developers can use those models directly inside ZYVA Cloud IDE while experiencing a VS Code-style workflow with live preview similar to Lovable. Tomorrow — 12:00 PM (UTC 8) ZYVA officially launches 🚀 Zyva.dev @0G_labs @digitalocean @dragon888 #0G #BuildInPublic

The results are in: 0G APAC Hackathon winners announced 🏆 What began as a regional builder campaign grew into a truly global movement. Together, the community delivered: 📈 1.04M impressions on social media 👥 1,145 participants across the world 🛠️ 293 final project submissions A huge congratulations to every team that built, shipped, and pushed the boundaries of what’s possible on @0G_labs. Meet the winners 👇

ZYVA is building a Persistent AI Runtime for autonomous coding agents on 0G infrastructure. ⚡ Semantic Memory ⚡ 0G TEE Secure Execution ⚡ Persistent AI Context ⚡ Autonomous Runtime Layer And yes — FREE Minimax M3 on 0G Private Computer for 3 days 🔥 This is just the beginning. Join the community: t.me/zyva0G @0G_labs @dragon888 @michaelh_0g #ZYVA #0G #MinimaxM3 #AI #AIAgents #Web3AI #BuildInPublic #CodingAI #DeAI #Qwen #TEE #0GStorage #AutonomousAgents

We’ve been quietly building something fun. Introducing ZYVA — a next-generation social tap game built on @0G_labs infrastructure. Not another complicated crypto app. Not another boring tap game. ZYVA combines: • squads • leaderboard battles • live events • upgrades • seasonal rewards • social competition • AI-native infrastructure powered by 0G Earn and use $ZYVA to: ⚡ upgrade your power 🎨 unlock cosmetics 🏆 join tournaments 👥 boost your squad 🎁 access limited seasonal rewards Built under: @titanx_layer If this gets enough love, we’ll launch sooner than expected 👀 Like comment if you’d actually play ZYVA. @dragon888 #ZYVA #0G #0GNetwork #Web3Gaming #TapToPlay #CryptoGaming #GameFi #MobileGaming #PlayAndEarn #AIgaming #TapGame #BlockchainGaming #GamingCommunity #Airdrop #Altcoins #CryptoGame #PlayToEarn #Web3 #Gaming #TapTap

I think most note-taking apps are broken. We save thousands of notes, screenshots, voice memos, PDFs, and ideas… then never find them again. So I’m building Neura. An AI Memory OS powered by 0G infrastructure that doesn’t just store your files — it actually understands, connects, and resurfaces them when you need them. Imagine if your notes could: • connect related ideas automatically • remember things you forgot • organize your brain for you • bring back the right memory at the right time Not another chatbot. Not another crypto app. A real AI memory system for everyday life. Powered by @0G_labs @dragon888 @titanx_layer Would you actually use something like this?

🎮 Kintara AI Score: 71 | Security Score: 66 Risk: Medium ✅ Confirmed ongoing airdrop in Play‑to‑Earn, 8° trending Early participants could earn rewards if they meet the basic criteria Airdrop feed 1 hour update : t.me/titanx_wallet risk cek by ai score & security score

🚨 TITAN ALPHA FEED 🚨 Live autonomous bot feed: 👉 t.me/titanx_wallet 🪂 Royco V2 (Ethereum) 📌 Status: New · Pre-token, farming LIVE 🧠 AI Score: 75 | 🛡️ Security: 70 (Med Risk) 💡 Alpha: Incentivized Action Market, backed by Paradigm.

Airdrop lists give you noise. Titan Alpha gives you an AI Analyst. 🧠 We just launched the ultimate Web3 intelligence feed. Every airdrop is: ✅ Scored by AI (Potential Security) ✅ Dead-link filtered — every link works, 0 honeypots. ✅ Explained: "Why it matters" exact claiming steps. 🔄 Autonomous Scraper: Live on-chain data updated every hour. Discover → Verify → Execute. 👉 alpha.titanwallet.net

Interesting launch. 👏 Reading through the Transaction Shield documentation, I’m trying to understand the exact protection boundary. Transaction Shield covers losses on transactions that: • Pass MetaMask security checks • Are deemed safe in-app But exclusions include: • Phishing • Malware • Compromised wallets • Protocol exploits • Vulnerable smart contracts • Economic losses So the genuine question is: What are the most common real-world scenarios where a user would actually qualify for a payout? Can you provide a few concrete examples of covered claims vs. denied claims? For Agent Wallet specifically: What safeguards exist between agent reasoning and transaction execution? Are there policy constraints, simulation layers, approval gates, or other controls before an action reaches the wallet? As AI agents become more capable, clarity around both security and liability becomes increasingly important.

TesseraDAO just lost ~$2.5M on BNB Chain. Root cause: an attacker seized ownership of the contract, minted 99M tokens from thin air, and dumped. TSR fell ~99%. We reproduced that exact pattern and ran it through Titan X-Ray's AI auditor. Verdict in seconds — 5/100, CRITICAL: 🔴 Unrestricted Ownership Takeover 🔴 Uncapped Mint (no cap, no event) This is findable BEFORE you deploy. Audit any contract free — upload .sol or paste a GitHub link: 🔗 xray.titanwallet.net Powered by Qwen 3.7. Part of TitanWallet — non-custodial, 9 security layers built in → titanwallet.net @BNBCHAIN @titanx_layer @titan_wallet #Web3Security #SmartContract #DeFi #Qwen

Contract Audit by TITAN. 🔴 Scam Token → 5/100 Unlimited Mint. tx.origin Authentication. Delegatecall Backdoor. Selfdestruct Rug. 🟢 OpenZeppelin ERC20 → 100/100 Upload a .sol file, .zip project, or GitHub repository and get AI-powered contract analysis in seconds. 🔍 xray.titanwallet.net Then secure every approval with: 🔐 Titan Wallet • Self Custody • Recovery Kit • 9 Security Layers → titanwallet.net @0G_labs @dragon888 @titan_wallet @titanx_layer #BuiltOn0G #0G #CryptoSecurity #SmartContracts #Solidity #Web3 #AgenticFinance