Mirage

I'm sure you will agree with me that mobile-first community of millions and a high-performance Layer 1 underneath are rare to see both done well. @ice_blockchain made it possible with $ION integration. @BingXOfficial #BingXBlast

Official $OFC airdrop claim link: fanpass.onefootball.com/airdrop-claim Make sure to have enough transaction fee gas on Base. ⚠️ Beware of scams, imposters and people reaching out to you. Follow only official communication from this X account. How it works 👇

Ferra Deep Dive: The Liquidity Layer Behind Every Trade Most people use Ferra to swap and move on. But the reason it reached #1 DEX on Sui by users so quickly isn’t the interface — it’s the infrastructure underneath. Ferra is the liquidity layer built on Sui, powered by three different AMM engines: DLMM, CLMM, and DAMM — each designed for a specific job. Instead of forcing one system to handle everything, @ferra_protocol splits liquidity into specialized engines: • DLMM → precision + adaptive fees • CLMM → capital efficiency via price ranges • DAMM → token launches + protection All three are connected through an internal aggregator, so every trade is routed through the best available liquidity automatically. • DLMM — Adaptive Liquidity Liquidity is split into fixed price “bins”: > Trades inside a bin = zero slippage > Fees increase during volatility → protects LPs > Supports single-sided liquidity LPs don’t get drained during volatility, and new pools can launch without needing both tokens upfront. • CLMM — Concentrated Liquidity > LPs choose a price range: > Capital is focused where trading actually happens > Higher fee generation per dollar > Positions require active management Removing wasted capital sitting idle across unused price ranges. • DAMM — Launch & Protection Engine Built for new tokens and volatile markets: > Anti-sniper fee system (high fees at launch, decay over time) > Whitelist access for early participants > Immutable LP locks (no admin override) > Supports single-sided liquidity Preventing bot exploitation at launch and builds real trust through locked liquidity. Before this kind of system: • Liquidity was inefficient and short-lived • Token launches were chaotic and bot-dominated • LPs lost to arbitrage and poor design With Ferra: • Liquidity can now adapt to market conditions • Trades get better execution automatically • Launches are structured and defensible • LP strategies can match different risk levels Ferra processed $35M+ monthly volume and scaled usage quickly, not from hype, but because the system actually works under real conditions. Ferra isn’t one AMM trying to do everything. It’s three specialized liquidity systems working together, with routing that picks the best one in real time. If you’re trading, you benefit from it automatically.

📅 Codatta Weekly Highlights: March 23–29, 2026 This week Codatta highlighted a high-precision robotics dataset, promoted the Codatta Clip passive-earning browser extension, ran an interactive Robotics Knowledge Quiz, and doubled down on frontier data quality and $XNY incentives. Strong focus on practical tools and real-world value in the Knowledge Layer. 📊 Dataset Highlight Codatta Dataset Series (5): RoboManip-Traj-Demo • Open-sourced on Hugging Face — high-precision robotic manipulation trajectories with rich spatial coordinates, event/pose annotations. • Perfect for: Trajectory Prediction, Keyframe Extraction, Fine-Grained Robotic Control, and Object Interaction Analysis. • CTA: Help build the next-gen Embodied AI dataset. 💸 Codatta Clip Chrome Extension • Effortless way to earn: Install → Hit “Start” → Automatically collect fashion data in the background and get rewarded. • Download link shared + short demo video. 🤝 Community Engagement • Robotics Knowledge Quiz #02: “Gripper or two-finger hand?” • Answer revealed Saturday: It’s a GRIPPER! • Explained the common terminology trap (rigid parallel plates = gripper, not dexterous hand). 💡 Key Insights • Frontier Data post: AI fails not because models are small, but because they lack the right data. Codatta delivers proprietary, royalty-backed datasets in robotics, healthcare, finance & culture — built with contributors, not scraped. • $XNY Skin-in-the-Game: Trusted data needs real stakes — minting ownership, contributor staking, client payments, and governance voting all powered by $XNY. • Motivational note: AI creates new jobs — become an AI trainer, contribute expertise, and get paid. 🌟 Overall Vibe: Practical + educational week. New tools for passive earning, fresh high-quality datasets, fun community quizzes, and clear messaging on why Codatta’s royalty + ownership model beats traditional data scraping. Builder energy high and super accessible for new contributors. #Codatta #KnowledgeLayer #Robotics #XNY #AIAgents