MOHA🎖️

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MOHA🎖️

MOHA🎖️

@moha_web3

𝕎𝕖𝕓𝟛 𝕄𝕒𝕣𝕜𝕖𝕥𝕚𝕟𝕘 & 𝔸𝕕𝕧𝕚𝕤𝕠𝕣 / ℂ𝕠𝕞𝕞𝕦𝕟𝕚𝕥𝕪 𝔹𝕦𝕚𝕝𝕕𝕖𝕣 & 𝕂𝕆𝕃 𝕄𝕒𝕟𝕒𝕘𝕖𝕣 / 𝔻𝕄 𝕗𝕠𝕣 𝕄𝕒𝕣𝕜𝕖𝕥𝕚𝕟g/ @bybit affiliate 📌

เข้าร่วม Mart 2015
3.7K กำลังติดตาม146.5K ผู้ติดตาม
Larx
Larx@larcxim·
Everyone has at least that one thing they pay the most attention to when trading.. For me? It's the execution speed @grvt_io gets that absolutely right. Opening and closing trades feels instant. There’s no delay or hesitation, which makes it easier to enter positions with confidence, especially when the market is moving fast. What I also liked is how simple everything is. From connecting my wallet to funding and placing trades, the whole process is smooth and easy to follow. The trading interface is clean as well. You’re not dealing with unnecessary buttons or confusion,everything you need is right there, so you can focus on your trades. Overall, the experience feels fast, straightforward, and well put together. Definitely one of the better trading experiences I’ve had recently.
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Ed
Ed@Ed12534479·
“When 3look kicks bear market” Most people scroll through memes for free. Creators on @3look_io kick the market back: they turn every meme, GIF and shitpost into Lookz via on‑chain brand campaigns. Quick alpha: - make memes that are usable by the brand (not just degen inside jokes) - cross‑post on X/TG for extra engagement, then link back What’s your strongest “kick” so far best earning post in Lookz?
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Shelley
Shelley@shelleymaeph·
Everyone’s building AI agents but nobody’s asking if they can actually think just found this thing called botcha.xyz and now i can’t unsee it if your agent can’t pass this, it’s probably just pretending 👀
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MZTAPRINCE
MZTAPRINCE@mztaprince_·
From $120 to free mint. I just minted my free idol NFT on @idolly_AI Incase you're asking Why this NFT? The NFT turns your AI idol into a self-running, income-generating digital influencer you truly own and control. So basically, i just minted me a self-running assistant. It's completely free and easy to mint. Just go to: [idolly.ai/?referralCode=…] > Sign up and follow steps in the video 👇
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CIN
CIN@Chinwo2·
web3 keeps evolving, but most projects still feel fragmented @Nasun_io is taking a different route by connecting ai, defi, and social into one flow it’s less about separate tools and more about how everything works together for the user you’re not jumping platforms, the experience stays in one place with ai enhancing interactions and defi tied into community, it opens up new ways to participate this feels like a more complete direction for where web3 is heading
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Azad
Azad@AzadWeb3·
satUSD showing up on StargateFinance is a solid step for @RiverdotInc. Liquidity moving across chains without getting stuck or fragmented is still a big problem, and this feels like a move in the right direction. Less friction, more flexibility. With LayerZeroCore handling the cross chain layer, the whole setup starts to look like early infrastructure coming together. Still feels early, but that is usually where the interesting parts begin. $RIVER @River4fun
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👑ROYAL KINGDOM $M | 🐜
👑ROYAL KINGDOM $M | 🐜@rahul19_rahul·
I recently came across @Xmarketapp and it made me rethink how prediction markets should actually work. Most platforms treat predictions like a game. XMarket treats them like a market. Instead of just guessing outcomes, you actually trade them. 🔹 Real-time prediction markets 🔹 Trade outcomes across crypto, sports, politics, tech & culture 🔹 Market-driven probabilities instead of static polls 🔹 Profit from knowledge and conviction What really stood out to me is the pricing. Every outcome has a live price - constantly adjusting as traders react to new information. So instead of reading opinions… You’re watching belief get priced in real time by people with skin in the game. In a world flooded with noise, that creates something rare: Signal. Not speculation. And that’s the edge XMarket is unlocking.
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Zephyro STARK ▚▘
Zephyro STARK ▚▘@Zephyro_STARK·
Hello Yellowians, what’s up 🟡 There’s an AMA happening tomorrow where @modernfintech from @Yellow will be discussing the SDK, cross chain liquidity, and the trading platform. Just sharing this in case anyone else wants to tune in and get a better understanding of things. I’ll be tuning in.
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Yellow@Yellow

Join us tomorrow for an AMA on X Spaces with Yellow's Steven Zeiler @modernfintech discussing: Yellow SDK use cases Cross-chain liquidity & state channels The Yellow trading platform Host: @dazzlingxrpl from @wave_of_innov Friday 12:00 CET ➡️x.com/i/spaces/1yJAP…

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Don Ptylex
Don Ptylex@DPtylex_Gmi·
WINkLink 2026 Roadmap, Reliability Upgrade, and AI Direction In 2026, WINkLink is raising the standard for oracle infrastructure on TRON. Not just with upgrades, but with a complete shift toward measurable trust, stronger incentives, and AI-driven reliability. The new roadmap focuses on making the oracle network more transparent, more accountable, and more scalable. Key upgrades include: 🔹 Stronger incentives for high-quality node performance 🔹 Clear penalties for malicious behavior 🔹 Transparent reliability metrics 🔹 Community-driven governance proposals 🔹 Improved off-chain reporting aggregation 🔹 Lower gas costs through optimized reporting 🔹 Better scalability for high-frequency data feeds With the Off-Chain Reporting model, WINkLink nodes can aggregate data off-chain, sign reports collectively, and submit a single verified result on-chain. This means: ✔ higher efficiency ✔ lower cost ✔ stronger decentralization ✔ better security And the next step is clear, WINkLink is moving toward AI-assisted oracle networks, where intelligent systems help verify, filter, and validate external data before it reaches smart contracts. Because the future of Web3 is not only decentralized, it is decentralized + intelligent + reliable. Trust is not claimed. Trust is proven. Announcement winklink.org/#/announcement… @justinsuntron @WinkLink_Oracle #TRONEcoStar
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Aymducking
Aymducking@aymducking·
Day 12 Dropping Ai until i reach 10k followers. Another leak has been dropped in @spaace_io called "Flip by spaace". Its a new feature coming in $SPAACE where you generate images through ai tools from spaace. Some highlights, Spaace have generated over $30 million trading volume in just 4 months 👀 They are definitely cooking even the market conditions are bad. Are you ready for the Final chapter ?
Aymducking@aymducking

Day 11 Dropping AI until I reach 10k followers. The new NFT meta is coming to @spaace_io 👀 Do you have any idea what AI NFTs you’ll generate in Flip Spaace? We’re getting closer to $SPAACE

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elhouse
elhouse@elhousesol·
good night guys see you tomorrow
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Candyy
Candyy@CandyCripto·
Just when I think I’ve figured out the market it always does the opposite 😂 Some altcoins are skyrocketing but this chaos doesn’t inspire confidence. I’m sticking with @XOOBNetwork staying calm building my portfolio and keeping my focus on my own work. Most people are chasing the hype I’m just keeping at my own grind ✌️
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FALCO_ETH
FALCO_ETH@eth_falco·
Your crypto shouldn’t stay idle in a slow market. With uncertainty rising, many holders don’t want to sell BTC, ETH, or SOL at a loss but doing nothing isn’t the answer either. That’s where @MEXC_Official Earn comes in. It lets you keep your assets productive while holding, without taking unnecessary risks. ✔ Earn on USDT, BTC, ETH, SOL & more ✔ Flexible products to match your strategy ✔ 0% interest borrowing to unlock liquidity without selling ✔ Up to 600% APR offers for new users It’s a smarter way to stay active and efficient, even in a cautious market. Start here 👇 mexc.com/earn?utm_sourc…
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Fisayo ❤️🦅💙
Fisayo ❤️🦅💙@REAL_KEHINDE·
Season 2 of the @goldfishggbr leaderboard has been live for a while now and it’s a whole different game now. It's not just Social tasks from Season 1, this one is real on-chain work, and the rewards look bigger too, whales are already getting in, even me 🌚 Simple breakdown of how you can be earning points daily: • Hold $GGBR → 1 point per token/day • Stake $GGBR on @stakemygold → 5 points per token/day • Provide $GGBR/USDT liquidity on @Uniswap V3 → 5 points per token/day • Hold $stGGBR → another 5 points per token/day In my view, these new staking and LP features are straight fire for the Goldfish ecosystem, They reward actual commitment instead of just hype, lock in long-term holders, boost token stability, deepen liquidity for smoother trades, and make it way easier for new users to jump in Completed my own set of tasks (2) yesterday and I'm already ranking, still gonna add more, I'll do atleast one more task you’re farming too, drop your rank If you’re not in yet, this is a good time to start:👇 leaderboard.goldfishgold.com/?ref=RDDNFFqn
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Hexblade
Hexblade@Hexblade_eth·
We might be past peak vector DB. Similarity got us far, but at scale agents still miss context. The bottleneck is memory, not modeling That's why I'm watching @hydra_db after the $6.5M raise. Ontology-first context graphs on top of a high perf in-memory distributed KV feels like the right abstraction What stands out: - relevance over cosine hits - relationships and intent captured at ingest - low latency graph hops at enterprise scale - tighter guardrails for long-running agents My test plan: throw messy corp docs, legal/tech manuals, and live logs at it, track precision as data grows. If quality improves with scale, "kill vector DBs" stops being a meme and becomes infra
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Andre The Giant!
Andre The Giant!@ogunedomcdonald·
DON’T waste all your time on projects that disappoints, Get started on @KGeN_IO now, and earn rewards everyday. With Kcash, you have access to vouchers which can be redeemed to purchase; Flight tickets, Gaming Items, Gift Cards, Food, and lots more! Why are you waiting for ? Get started here:engage.kgen.io/k-quest
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𝙁𝙍𝙊𝙎𝙃⚡
The more I look into @SelanetAI , the more it feels like they’re focusing on a layer most people overlook when talking about AI how AI actually interacts with the real internet. Everyone talks about smarter models, better outputs, and faster responses, but none of that matters much if AI can’t properly access live, real-world data. Most AI systems today still rely heavily on static datasets or limited APIs, which creates a gap between what AI knows and what’s actually happening online in real time. That’s where the idea of real-time web access becomes important. AI agents aren’t just meant to answer questions anymore they’re expected to browse, interpret pages, interact with websites, and complete tasks. And to do that effectively, they need an infrastructure that allows them to operate in real web environments, not just simulated ones. This is where Selanet’s approach stands out. Instead of relying on traditional scraping methods, Selanet uses a network of distributed browser nodes. In simple terms, these nodes act like real users browsing the internet. They can load full pages, process dynamic content, and interact with websites in ways that basic bots or scripts struggle to replicate. That difference matters more than it seems. Traditional scraping is becoming less effective because the modern web is no longer static. Websites are dynamic, heavily protected, and designed to detect automated behavior. Simple request-based bots often fail to load full content, get blocked, or miss important data entirely. Selanet approaches this differently by shifting from “requesting data” to actually experiencing the web through real browser environments. Another key idea here is distributed browsing. Instead of a single server trying to do everything, tasks are spread across multiple independent nodes. This means: • interactions come from different environments • blocking becomes much harder • the system becomes more resilient And as more participants join the network, the system naturally scales. It also explains why performance updates, like improvements to node speed, are such a big deal. Faster browsing doesn’t just improve user experience it directly affects how efficiently tasks are executed across the network. Speed, responsiveness, and stability all play a role in making the infrastructure usable at scale. One subtle but important advantage is how closely this model mimics real human browsing behavior. Websites are built for humans, not bots. So when interactions look and behave more like real users loading full pages, executing scripts, navigating interfaces the results are more accurate and more reliable. When you put it all together, Selanet isn’t just trying to “scrape data better.” It’s building a system where AI can interact with the internet the way humans do, but at scale. And that shift from extracting data to actually engaging with the web is what could make a real difference as AI agents continue to evolve.
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WASSIE
WASSIE@0xWassie·
a nasdaq listed company just bought 60% of gamee 119m users now getting pulled deeper into the telegram ecosystem this isn’t a distressed buy it’s traditional capital stepping into web3 gaming this is bigger than people think
StarPlatinum@StarPlatinum_

Hear me out: A NASDAQ-listed company just acquired 60% of GAMEE from Animoca Brands. .@GAMEEToken generated around $3.5M in revenue in 2025 But the real value is in the distribution. 119 million registered users. More than 60 million of them on Telegram. Now anyone can build a product, launching something is easier than ever, the hardest part is attention. And they have a user acquisition strategy. Does this mean web3 gaming is back? No. But it shows capital is still here. And that is always worth paying attention to

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Zhee🫶🏾🎮
Zhee🫶🏾🎮@zhee_explores·
“Say goodbye to LARPers” hits different when you realize what this actually means. Not louder profiles or bigger followings. Just verifiable onchain proof > influence. This is the shift @ILITY_xyz is pushing. The Hub is live and you should be a part of it.
ILITY@ILITY_xyz

Say goodbye to LARPers ILITY Hub is live A signal driven social platform where your wallet balance becomes your profile Major updates -Anonymous polls -Activity-based badges 🔗 Link in Bio

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