

3Xplorer
16.6K posts

@Alimi_07
Web3 newbie // Science // CFC 💙 // Cr7 🐐 Exploring .... one tweet at a time




I recently added more USDT into my wallet on @Xmarketapp through BSC and tried a few simple trades just to see how it plays out in real time. Instead of jumping into everything, I focused only on 3 markets I actually understand. One of them was tied to an event I had been watching for weeks, so I already had context before entering. When the price started moving in my direction, it didn’t feel like luck, it felt like my understanding finally matching what was happening in the market. I also noticed my activity reflecting on things like Airaa multiplier and Aura updates, which made the experience feel more active and responsive. Now I’m thinking beyond trading, I want to try creating my own market next instead of only taking positions in others.



🚀 Get ready before lunch! Load your $SOL bags 💰 👉 $ARTEMIS is gearing up with major collaborations and serious momentum. Don’t miss this moon mission 🌕 $ARTEMIS




gAfternoon ct A lot of attention in Web3 goes to creation, but not enough to what happens after. Without a way to preserve what is built, progress can easily get lost over time. @permacastapp focuses on that missing piece. It ensures that content, ideas, and contributions remain accessible and tied to their origin. What is created does not disappear or get disconnected from its source, and future work can build on it instead of starting over. @0G_labs is working on a different layer around how blockchains support intelligence. It is building infrastructure that allows AI systems to run with reliable data, fast verification, and the ability to execute tasks directly on-chain. The focus is shifting from blockchains as simple record systems to environments where computation can be trusted and scaled. For systems like autonomous agents to work properly, they need a foundation that is consistent, verifiable, and able to handle real workloads.













defi has already built strong layers for trading and liquidity @TermMaxFi but the credit layer is still surprisingly thin. termmax seems to be targeting exactly that gap. right now most capital in defi flows through dex trading and liquidity pools. these markets move assets efficiently. but they do not fully solve how credit should be created, priced, and distributed across the ecosystem. credit markets require different structures. traditional finance relies heavily on credit layers. banks lend capital bond markets fund companies credit markets distribute risk across investors. these systems determine how capital flows through the economy. defi has only partially built this infrastructure. @TermMaxFi introduces fixed maturity lending as a way to structure credit markets more clearly. when borrowing has defined time horizons, lenders can evaluate risk more accurately. this moves defi closer to structured credit systems. another important piece is collateral diversity. yield assets such as principal tokens from Pendle Finance can serve as collateral for borrowing. this expands the types of financial assets that can participate in credit markets. more collateral types usually lead to deeper credit systems. once credit markets grow, something important happens. capital allocation becomes more efficient. projects can access funding investors can earn predictable returns risk can be distributed across many participants. this is how mature financial ecosystems operate. however, building a credit layer is difficult. credit systems depend heavily on liquidity, trust, and reliable collateral valuation. if any of these pieces break, the entire system can destabilize quickly.




brands still chase big accounts smart teams chase the right audience → relevance > reach → engagement > vanity metrics @wallchain sits right in that shift where attention actually means something not just who’s loudest but who actually matters



the more i think about autonomous ai, the more it feels like models are only half the story an agent is limited if it can’t move across the web and actually get things done that’s why @selanetai stands out with infrastructure focused on execution, not just intelligence a decentralized agent-node network where agents can access sites, use services, and complete tasks directly basically a distributed web layer for ai instead of another centralized gatekeeper could be one of those pieces people ignore until every agent suddenly needs it








