Prix de Useless Dollar CoinUSDC

That's sometimg interesting from @Delphi_Digital's latest report on stables. Basically, the chart below shows that USDT and USDC are still huge, but their dominance isn’t absolute anymore. The market has become commoditized enough for other stablecoins to quietly gain market share. What's driving this shift: • Chains and apps have realized they can issue their own stablecoins. • Capturing the yield on reserves locally is appealing. • Distribution is more important than the brand on the token. • Leverage has shifted from issuers to those routing the flow. Do you think we'll revert back to the dominance of USDC/USDT after the events of this week?

Crypto neobanks: Strengths & risks ↓ STRENGTHS ✦ Self-Custodial, Yield-Bearing Accounts Users want both yield and control. Crypto neobanks deliver both by routing stablecoin balances into DeFi protocols, paying out 5–10% APY without touching custody. Platforms like @Plasma and @ether_fi Cash are showing traction with users drawn to sustainable, on-chain returns with zero exchange risk and no lockups. Just programmable, earning dollars. ✦ Real-World Spendability The ability to use a self-custodial wallet to tap a Visa/MasterCard card at a coffee shop is a genuine inflection point. @gnosispay and @UR_global, by Mantle, are two of many other projects that bridge commerce with native debit card integrations. Suddenly, stablecoins don’t just sit in wallets; they move. This bridges the utility gap. ✦ Composability and Modular Growth Crypto neobanks aren’t monoliths; they’re frontends over open protocols. This enables faster innovation and functionality for swapping, lending, staking, and spending under one superapp. These platforms create a composable financial infrastructure, not a separate ecosystem. ✦ Global Market Pull In emerging markets, crypto neobanks offer users access to USD and yield with no legacy bank required. In developed markets, they appeal to fintech-savvy users tired of low interest and poor UX. This isn’t a solution looking for a problem. It’s a solution many are already using, in rough form. WEAKNESSES / RISKS ✦ Regulatory Risk Licensing, KYC, stablecoin policy can be real chokepoints. Without clear frameworks, crypto neobanks rely on patchwork fiat partners and regulatory arbitrage. One policy shift can shut down core functionality overnight. ✦ Off-Ramp Fragility Most neobanks still depend on traditional rails for fiat access. If a banking partner collapses (as SVB did for USDC), the user experience breaks. So does trust. These bridges are not yet redundant or sovereign. ✦ Unsustainable Incentives High yields and cashback are often subsidized. When those dry up, user retention is untested. True PMF can’t rely on token inflation or VC capital forever. ✦ UX Fragmentation Despite improvements, many platforms still show complexity with network switching, bridges, gas fees. For non-native users, the consequence is cognitive debt. Until that vanishes, the experience won’t rival TradFi banking.

XMAQUINA has proposed the "Allocate 800,000 $#USDC to Acquire 1X Technologies Common Stock" scheme.

UnifAI Network $UAI is positioning itself as an AI-native infrastructure layer for the next cycle of DeFi, where financial activity is handled by autonomous agents instead of humans sitting in front of charts all day. The idea is simple: everyone should be able to create, share, copy, and automate strategies with the same ease people today copy tradingview setups or follow farming guides. Your data snapshot (113k+ wallets, almost 2k strategies, tens of millions in volume) shows they are already testing this at real scale. What UnifAI is UnifAI is an end-to-end stack for agentic finance. On the user side, you get a marketplace of strategies like “Mush Dual Punch,” “AI Momentum,” or “Polymarket Auto Farming,” where you can pick a strategy and let an always-on agent execute it for you. On the builder side, you get a developer SDK, a unified tool layer across 100+ DeFi and on-chain services, and an execution runtime that actually runs strategies in production, not just in a chat interface. The key promise: you do not have to be online 24/7 to farm, LP, rebalance, or unwind risk. Agents do it. Core building blocks 1. Agent Runtime This is the deterministic, always-on execution layer. It watches markets, checks conditions, and fires transactions. If a strategy says “exit if SOL drops 3 percent,” the runtime enforces it. It includes monitoring, fault tolerance, observability, and identity so that strategies can be trusted to run for long periods. 2. AI Eval and routing UnifAI makes a big point that this is not just prompt dressing. Their eval layer compares different LLM or tool paths and uses the one that performs better for the task. In practice this means smarter tool selection, fewer failed calls, and better fills for DeFi actions. 3. Unified tools integration They wrapped a big chunk of the Solana and EVM DeFi surface: Meteora, Raydium, Jupiter, Aave, Uniswap, Compound, Hyperliquid, prediction markets like Polymarket, portfolio tools, wallets, even off-chain data sources. Agents can chain these in one workflow. That is what makes it possible to publish strategies that look complex but are actually one click for the end user. 4. Strategy marketplace and social layer You can create a strategy, publish it, and when other wallets copy it, you earn. By default creators get 20 percent from copied wallets. If the user joined through your referral, you can stack that with 10 percent referral fees. So one strategy can be both a DeFi product and a growth funnel. Token and economics Your material describes a clear fee and reward system. Some strategies have a 0.5 percent swap and 2 percent claimed fee (especially Meteora style strategies). On-chain swaps on Solana, BSC, Base show 0.5 percent. Delta neutral, perps, and Polymarket are set to 0 percent to make them attractive. VIP levels reduce these fees. If a user deposits more or trades more, they move up from basic to explorer, strategist, goat, architect, master, and finally oracle, with discounts that can reach 50 percent. That is clever because it rewards active wallets, not just early wallets. Referral is simple: invite friends, a custodial wallet is created for them, you get 10 percent of the fees they pay for one year, paid in USDC or SOL to the same in-app wallet. Strategy creators get 20 percent on top. Payments can be weekly or daily. This is good enough to attract influencers and DeFi power users. What users can actually do Copy top performers Your snapshot shows strategies with over 30 percent 30-day ROI, often SOL based. A normal user can just copy these, set a cap, and let the runtime trade. This is the fastest way to get value without knowing anything about DLMM, Meteora layers, or prediction markets. Automate LP positions Meteora liquidity providers in particular like UnifAI because it can open and close layers according to logic. That removes the most boring part of LPing: watching price channels and moving ranges. You deposit SOL, define your rules, and the agent manages the rest. Auto farming and event strategies Polymarket Auto Farming in your text is a good example. An agent can farm small edges across prediction markets faster than a human. Since agents run all the time, they can exit when liquidity thins or when spreads close. Create and monetize strategies Power users can wrap their own DeFi habits into an agent and publish. If you already trade SOL rotations or do range LP during high volatility hours, turning that into an agent makes it repeatable and monetizable. Strategy layer: how to approach it A. Portfolio of agents, not one agent Do not put everything into one strategy, no matter how strong the ROI looks over 30 days. The right approach is to run a basket: 1 high ROI, higher variance strategy 1 liquidity/LP strategy (Meteora, Raydium) 1 market neutral or 0 percent fee strategy 1 experimental or new strategy This way if the high ROI one hits a bad week, the LP and neutral agents keep the account active. B. Hard risk rails Always set: Max capital per strategy Max drawdown per day or per week Allowed assets (eg, SOL, USDC, not obscure tokens) Slippage and price impact ceilings Because UnifAI is an execution platform, it will do what you tell it. So tell it to be strict. C. Automate harvesting Many LP strategies only look good if you harvest and compound. Since UnifAI can already claim and route, add auto-harvest so that profits do not sit idle. D. Use referrals as yield booster If you plan to run public strategies, push your link. 10 percent referral + 20 percent creator is effectively 30 percent of fees paid by your followers, on top of what your own strategy earns. That can outperform passive LP in some weeks. Predictions and unique insights Agent marketplaces will get winner-takes-most dynamics Just like copy trading platforms see most volume go to the top few traders, UnifAI will likely see a small set of agents attract most wallets. That will push creators to compete not only on PnL but on transparency, update frequency, and even branding. Eval quality will become the moat Most AI-DeFi projects can integrate Uniswap. Very few can maintain a real eval system that keeps routing to the best tool path over time. If UnifAI keeps its evals public and keeps them beating other routes, that becomes a real differentiator. Creators become micro-protocols A creator who builds a good agent, has a referral tree, and receives strategy fees is effectively running a mini protocol inside UnifAI. This is powerful for KOLs and trading groups because they can move their community into a place where activity is measured on-chain. VIP system will drive TVL concentration Big wallets will want the 30 to 50 percent discounts, so they will keep balances or volume on the platform. That makes fee revenue more predictable and makes it easier to share fees with creators. Regime risk remains If market structure on Solana or EVM shifts fast, some agents will underperform. So live performance should be scored over rolling 30, 60, and 90 day windows, not just peak months. Risks to stay honest about Autonomous execution can magnify mistakes if the strategy logic is wrong Smart contract or venue risk on integrated protocols Token volatility around listings and unlocks Performance will vary per chain and per market regime Too many copycats can make one strategy less effective Final take UnifAI is not trying to be another analytics dashboard. It is trying to be the operating system for DeFi agents. Your material about real users on Meteora, LP Army involvement, open sourced evals, and actual fee sharing shows that this is already being used by power users, not just by AI tourists. The smart move is to enter with a small basket of agents, enforce hard limits, publish at least one strategy to test creator rewards, and then scale only the agents that keep performing over 60 to 90 days.