Unknown.fx

STON.fi Vibe Coding Wave 2 is live 🚀 Build a real TON app in one weekend with AI tools + win prizes from STON.fi & Wallet in Telegram. Only 25 spots available. #TON #Web3 For more details 👉 (@michael_henry24/the-future-of-web3-development-is-changing-fast-and-the-ston-fi-87a9ec4639e8" target="_blank" rel="nofollow noopener">medium.com/@michael_henry…) To apply link in the comment

@Defi_Ken @Crypto4bailout @Szymansk_ii @john322226 Happy birthday to you mann

Big Congratulations to me 🎉 Happy Birthday to me 🎁 @Crypto4bailout @Szymansk_ii @john322226 It's my Birthday - my Bosses save me from this thing that has been disturbing my peace...

@Lady_Honnour @qlabsofficial If Q-Day changes the security assumptions behind crypto, preparation becomes everything.

Quantum computing is no longer just a futuristic conversation for crypto. The real question is not if blockchain security will need upgrading, but who is preparing early enough before Q-Day arrives. That’s the space @qlabsofficial is stepping into with a bold objective, securing 2% of the top smart contract-based crypto assets from quantum attack risks. 🧵1/

@Dees_ink But the real innovation was solving a problem nobody could solve before

Have you ever wondered how Bitcoin actually works ? Everyone has an opinion. Nobody has the breakdown. Bitcoin solves one impossible problem:how do strangers exchange money without a bank ,without trust ,without a middle man? But first ,let’s understand why this was possible🧵

@DOLAQUEEN1 @Gensuki_ Most traders think the market moved against them, when sometimes it was just bad routing.

traders blame the market when they lose value on swaps, but sometimes the real problem is poor execution. In defi, how your order gets executed can completely change the outcome of your trade. two people can buy the same token at the same time and still end up with different results because liquidity is fragmented across multiple pools and platforms. without proper routing, you could end up:
• paying higher prices
• dealing with unnecessary slippage
• getting weaker execution overall that’s why smart routing matters. Instead of pulling liquidity from just one source, the system searches across multiple pools to find the most efficient route for your trade, sometimes it even breaks the order into smaller parts just to secure a better execution. this is one of the things @Gensuki_ is quietly optimizing behind the scenes. rather than forcing users to manually compare platforms or hunt for the best route themselves, the protocol handles the complexity automatically. the process feels simple on the front end, but there’s a lot happening underneath to improve efficiency. and over time, those small execution improvements make a real difference. because in trading, saving a little consistently often matters more than people think.

@debirah_chi Capital is not a problem, just know the chart and stick too your strategy

𝗦𝗢𝗠𝗘𝗢𝗡𝗘 𝗠𝗔𝗗𝗘 $𝟯𝟬𝗞… 𝗔𝗡𝗗 𝗧𝗛𝗜𝗦 𝗖𝗛𝗔𝗡𝗚𝗘𝗗 𝗛𝗢𝗪 𝗜 𝗦𝗘𝗘 𝗧𝗥𝗔𝗗𝗜𝗡𝗚 I used to think the biggest advantage in trading was having more capital. Now I’m starting to think otherwise Same market. Same opportunity. But not everyone sees the same thing. Day 12 on the Charts 📊 🌸

@peng0144 Gm GM

GM CT Another day to build, learn and grow. ✨

@Ubong_007 @codatta_io This is the direction AI was always supposed to move toward.

AI learns from you. You earn nothing. That gap is closing. Codatta builds a system where knowledge carries ownership, usage gets tracked, and contributors receive rewards when AI systems train on their data. In 2026, this shifts how AI gets built. Every dataset becomes a traceable asset on XnY. Every annotation links back to its creator. Every model trained leaves a value trail. XNY supports staking, governance, dataset access, and reward flows across contributors and validators. A student in Lagos labels images for vision models. Months later, those same datasets get reused in enterprise AI systems. Rewards keep flowing as usage grows. This model turns passive data scraping into active participation. It replaces hidden extraction with visible exchange. Roadmap targets wider AI and DeSci integrations, deeper decentralization, and expanded data marketplaces for structured knowledge. Creators, researchers, and domain experts gain a direct link to systems built on their work. AI stops being a one-way feed. It becomes a shared economy of knowledge with traceable value and ongoing reward streams.

@Veeekthorr @bonk_inu BONK really moves different when it enters new markets

every time BONK expands into a new vertical, it somehow ends up becoming one of the stronger products in the ecosystem BONKbot, BONKfun, BONKTrade already proved the scale, now @bonk_inu is entering the TCG Oripa space with trading, collecting, and physical redemption mechanics really interested to see how far BONK takes this one

@ifureJack That’s the part most infrastructures still avoid.

I've been following blockchain infrastructure long enough to know when something is genuinely different versus when it's just wearing different clothes. Most chains solve one problem and quietly ignore the rest. Fast but centralised, Decentralised but slow, Private but incompatible, You pick your trade-off and live with it. @diamante_io is the first architecture I've studied that treats all of those trade-offs as engineering problems to solve, not choices to make. 𝘓𝘦𝘵 𝘮𝘦 𝘦𝘹𝘱𝘭𝘢𝘪𝘯 𝘸𝘩𝘢𝘵 𝘐 𝘮𝘦𝘢𝘯. The two hardest problems in blockchain infrastructure right now are web-scale performance and quantum resilience, both simultaneously. @diamante_io is engineered around both throughput comparable to high-frequency trading systems and global payment rails, with cryptographic resilience built to hold against adversaries equipped with large-scale quantum computers. That combination alone made me stop and read everything twice. But the architecture underneath is what really got me. Everything is modular, execution VMs, consensus, storage, confidentiality, all pluggable. That means the chain evolves without breaking what's already built on it, and developers don't have to learn a new language to build on it either. Solidity, Go, Rust, Java, WASM, familiar toolchains from day one. The cross-VM atomicity piece is something I hadn't seen done properly before. Contracts from zkEVM, Chaincode, and WASM interoperating atomically, not bridged, not wrapped, not approximated, Actually atomic. That's a genuinely hard problem and most chains don't even attempt it. Privacy isn't a feature you add on top here, It's native. Built into the architecture from the ground up which is the only way privacy actually works at scale. And it runs on everything, server-class hardware with NVMe and multicore, all the way down to mobile light clients with zk-proof verification. I've seen a lot of chains promise interoperability and performance. @diamante_io is the first one where I looked at the actual architecture and thought, this was built by people who understand what the next ten years of this industry actually demands. That's not a common feeling, and I don't say it lightly. Explore: diamante.io

@RexeyAustinn @MossAI_Official Looks promising

I’ve been trading for years and one thing I’ve learned is that trading is not just about charts. It’s also about emotions, missed entries, drawdowns, overthinking and trying to stay consistent when the market gets noisy. That’s why Moss caught my attention. Moss makes it possible to turn a trading idea into an AI trading agent using natural language. Instead of just staring at charts all day and reacting emotionally to every candle, you can create an agent, configure the setup, preview it, deploy it and review the dashboard. For my Moss Creator Camp S2 entry, I wrote about my experience with trading, why AI agents are interesting, and how Moss can help traders think in a more structured way. I also made a step-by-step video showing how to create an agent on Moss, from prompt setup to deployment. AI trading is not magic. But structure matters. And in trading, structure is already an advantage. @MossAI_Official moss.site/agent Educational only. Not financial advice.

@Web3_Nona @MinatiExchange $MNTC finally goes live today and this feels like the start of something much bigger than just a listing.

The countdown is over. $MNTC officially launches today 💃 After weeks of anticipation, the native token of the @MinatiExchange ecosystem is finally going live across: ❀ MEXC ❀ BingX ❀ BitMart ❀ BTCC And later today at exactly 3:30PM UTC, $MNTC will also officially launch on Minati Exchange itself. This is more than just another token listing. What makes today important is the ecosystem behind the token. Minati is building a platform that goes beyond basic trading by combining: ❀ A centralized exchange ❀ DeFi utilities ❀ NFTs ❀ Metaverse integration ❀ AI-powered tools ❀ Staking systems ❀ Crypto payment solutions At the center of everything is $MNTC. The token powers activities across the ecosystem, from trading and staking to rewards, governance, ecosystem access, and future utilities connected to the Minati platform. Launching across four exchanges plus the project’s own exchange on the same day gives the token strong visibility right from the beginning. MEXC and BingX already have active altcoin communities, while BitMart and BTCC expand the reach even further across global markets. And now, the wait is finally over. Today is the day $MNTC officially enters the market and the Minati ecosystem opens its doors to the public in full. If you’ve been watching from the sidelines, this is the moment everything begins

@Jife790 @NomismaNetwork GM GM

Top of the morning @NomismaNetwork is starting to feel like it’s building around more than just DeFi mechanic gNomis grinders

@Stan_Steps @PythNetwork The gap between TradFi and DeFi keeps getting smaller.

Crypto traders spent years thinking onchain markets would stop at tokens. Now the rails are expanding into the real economy. @PythNetwork just added 4 new futures feeds to Pyth Pro: • Cocoa (CA) • Coffee (CF) • Raw Sugar (RS) • Live Cattle (LC) ICE softs and CME livestock are now live alongside existing feeds for crude oil, natural gas, corn, wheat, soybeans, gold, and silver. That means builders can now access pricing for everything from BTC to beef cattle through a single API. And honestly, the timing makes sense. Commodities are becoming one of the biggest macro narratives again. Tariff escalations. Supply chain instability. Climate-driven production shocks. Volatility across food and energy markets. Soft commodities and livestock contracts are seeing renewed attention because they sit directly at the center of global economic uncertainty. Pyth is positioning itself as the infrastructure layer bringing those markets onchain. What stands out is the scale. Pyth Pro now offers 3,000+ price feeds across: • Crypto • Equities • FX • Commodities • Metals All accessible through one subscription and one API. This matters beyond simple price tracking. These feeds power: • Prediction markets • Perpetual exchanges • Structured products • Multi-asset DeFi applications For builders, it removes the traditional friction of sourcing institutional-grade commodity data from fragmented legacy vendors. And the expansion is accelerating fast. Pyth crossed 1,000 onchain price feeds earlier this year. Since then, the Pro catalog has tripled in size with new energy, equities, livestock, metals, and soft commodity markets shipping almost every week. The bigger picture is becoming clear: The price of everything is slowly moving onchain. One feed at a time. Explore the feeds: pythdata.app

@EugeneMiracle7 @OriginalBlokyz @MonkOnTheBlok @Ukj1111 @Tma_420 Building for culture lasts longer than chasing attention.

Most projects in Web3 try to become culture. Very few actually build for it. That’s why I’ve been paying attention to @OriginalBlokyz. A lot of NFT/IP projects rely on hype cycles, big promises and short term excitement. The attention comes fast and disappears even faster. What interests me here is the thinking behind the build. The team isn’t approaching collectibles like assets only. They’re treating them like identities people connect with. That shift matters. Years of experience across Web2 IP, creator ecosystems and onboarding creators into Web3 gives them something many projects lack: understanding of how communities form around characters that actually stick. The idea of leading with design before forcing a story also stood out to me. Because if a character can’t create curiosity or emotion at first glance, no amount of lore saves it. With partnerships already forming and a broad ecosystem reach, this feels less like another drop and more like an attempt to build something people remember. Reasons why @OriginalBlokyz will always have my full support.

@ThemingleLab GM mingle

G M M I N G O S ! ｡ ｡°*. *｡*･ *

@SleekS99031 @greatgabriell @SpoutFi Even in profit, being fully deployed can make you miss the next big move.

Meet Gabby, Gabby is having the best bull run of his life, Tesla up 3x. Apple running, NVDA flying, S&P 500 holding strong. He bought early, held his positions, and didn't panic sell once. Every single position in his portfolio is deep in profit. He's already planning some profits for a new car, some to touch grass for a few months, the rest locked away until the next cycle. It feels almost too perfect, like a dream you don't want to wake up from. But even Gabby's perfect run had one flaw… While Gabby is sitting pretty on his Tesla and NVDA, Apple breaks out even further. Microsoft starts moving. A new IPO is showing early signs of massive returns. The opportunities are right there, but every dollar Gabby has is already deployed. His only option? Sell something he's already winning on to chase something new. Exit a position that's still running and hope the new trade performs well enough to cover what he gave up. That's a forced choice, and most traders have been there. Here's where it stops being a dream and starts being real… With Spout Finance, Gabby doesn't have to sell anything, He locks his Tesla or NVDA in a Spout Vault, borrows stablecoins against it, and uses that liquidity to add Apple, Microsoft, or whatever opportunity just appeared. His original positions stay intact and still compounding, while the new positions get added on top. Gabby's perfect bull run doesn't have to be a fantasy anymore, That's exactly what @SpoutFi is building, a world where you never have to choose between what you have and what you want.

@fabulous__xx @wallchain That’s the part I rate too. They’re focusing more on real engagement instead of inflated metrics.

lowkey @wallchain is cooking with this one how they handle anti spam and engagement scoring is actually interesting it’s not just about numbers anymore they actually try to figure out what’s real interaction and what’s just noise fake followers, bot replies, recycled comments… all that barely moves your x score and the system doesn’t just check once, it keeps updating as things go what’s interesting is how it handles repeated posting patterns too if it starts looking too forced or too mechanical, the value drops over time feels like they’re rewarding steady, real participation instead of bursts of activity and that shift changes how people will approach crypto engagement going forward projects also win here because rewards don’t end up stuck in bot circles

@_AmyCable I will check this out

AI giants are now live on BingX Futures! $ANTHROPIC (Pre-IPO) and $OPENAI (Pre-IPO) have officially been listed on BingX Perpetual Futures. Now traders can get exposure to two of the biggest names in AI before any public listing hype fully kicks in. 🗓 Trade Now: ▶️bingx.com/en/perpetual/A… ▶️bingx.com/en/perpetual/O… #BingX @BingXOfficial

@ifureJack Want to get into predictions market

The news cycle right now is honestly insane. Political tensions rising, markets reacting every few hours, it feels like one headline can change everything overnight. And the funny thing is, everyone already has opinions on what happens next. Some think things get worse. Some think the market rebounds. Some think certain events are guaranteed. Prediction markets like @biggerztrends basically turn those opinions into positions. That’s the part I find interesting lately. Instead of just tweeting takes all day, you actually decide: YES or NO? You research. You follow updates. You watch the sentiment shift in real time. What surprised me most is how prediction markets force you to think more critically about events instead of reacting emotionally. You stop scrolling headlines casually once your own position is attached to the outcome. 🔗 biggerz.com/sports/predict…