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GodAir
GodAir29.3K
GodAir
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Content Creator Creator @NucleusCodes DM For Collab

@dang_duytanCryptoAI AgentsPhysical AI
29.3KFollowers
3.5KMedian impr. / post
13.3%Engagement
12+7
Paid partnerships
In their audience
8+ affiliated with @weteamng follow GodAir
@ZeoWeb3@JannatSariha@rpjsohel@jahidverse@arifur0X@Pranto_xyz+27+ affiliated with @actionmodelai6+ affiliated with @binance5+ affiliated with @arsenal5+ affiliated with @arc4+ affiliated with @flovaai
1,500+ verified followers analyzed
@ZeoWeb3@JannatSariha@rpjsohel@jahidverse@arifur0X@Pranto_xyz+1494160+ crypto creators122+ media creators77+ creators53+ crypto researchers47+ crypto marketers42+ AI creators
25–34 core age group
55.1%
35.3% of audience in Vietnam
🇻🇳
Nov 4 – Nov 10200 posts analyzed · replies not counted · updates weekly
ImpressionsEngagements
20.5K10.3K0
3.1K1.6K0
Nov 4Nov 5Nov 6Nov 7Nov 8Nov 9Nov 10
Past collabs
GodAir@dang_duytan · Nov 5Crypto reward campaigns have a problem. Protocols can generate millions in trading volume, but how much of that activity actually comes from genuine traders? @zerufinance is approaching this differently through Zaps and its ActivityFi infrastructure. Instead of simply counting transactions, Zaps uses zScore for behavioral scoring, trade attribution and Sybil detection. Wash trades score zero, while wallets funded from the same source can be grouped rather than treated as independent participants. What makes this interesting is the public proof behind the system. One of the latest campaign reports shows $4.2M in raw volume, with $1.1M removed by its verification filters. That leaves $3.1M in verified volume, while 214 farm wallets were excluded. I think this is an important distinction. A leaderboard should recognize economic contribution, not just reward whoever can generate the largest number of transactions. This also connects with the broader ActivityFi idea behind Zaps. New meme coins can be earned through genuine onchain activity instead of relying on insider bundles. The model describes 0% dev allocation and 100% activity generated distribution. There is still plenty to prove as the ecosystem expands, but building token distribution around verifiable participation is an interesting direction. Connect your trading wallet, see what your history counts for and explore Zaps: https://app.zaps.wtf/?invite=D9usv6Lw Real activity over artificial volume. That is what I want to see more of from @zerufinance.zerufinancePaid partnership3.1K views
GodAir@dang_duytan · Oct 20A trading interface becomes more valuable when you understand the story behind the numbers, not just the direction of the price @OndoPerps . While exploring the BTC perpetual market on Ondo Perps, I paid attention to how the chart, order book and market indicators work together. At the time of my screenshot, BTC was trading around $81,397.50, with 24 hour volume near $30.1 million and open interest around $6.15 million. One detail that caught my attention was the displayed funding rate of negative 0.00311 percent. Funding helps explain the periodic payment mechanism between long and short positions in perpetual markets, while open interest gives additional context about outstanding contracts. Neither indicator should be read in isolation, but together with price action and order book data, they help users ask better questions about current market conditions. @OndoPerps brings these different data points into one interface, making it easier to examine price movements and market activity in the same place. I also noticed the BTC leverage setting displayed at 40x. That is a useful reminder that leverage can magnify losses as well as gains, so understanding exposure and risk controls matters before placing any trade. My main takeaway from exploring this screen is that good trading decisions start with understanding the information available, rather than reacting to every price movement. A chart shows what price has done, while funding, open interest and order book data provide additional context. Learning how these signals differ is more useful than treating any single metric as a prediction. Explore the platform and examine the market data yourself: https://app.ondoperps.xyz/?ref=9XTS4KOndo PerpsPaid partnership17.2K views
GodAir@dang_duytan · Oct 20The next wave of AI infrastructure may not come only from bigger data centers. It could also come from computing resources already sitting in millions of pockets @Acurast . What makes the smartphone compute model interesting is its approach to a problem that keeps growing: access to computing power. Instead of relying entirely on centralized infrastructure, Acurast connects smartphones into a decentralized compute network, allowing everyday devices to contribute resources under the network rules. The important part is turning an overlooked resource into something useful. AI applications need compute, while many smartphones spend long periods unused. Connecting these two sides creates a different way to think about how compute infrastructure can be supplied and distributed. @Acurast also creates an opportunity for users to participate by providing smartphone computing resources and receive ACU incentives according to the official rules. The network token connects participation with the broader ecosystem, while actual utility depends on network usage and the incentives defined by the project. I think the real question is how reliably this model can support meaningful workloads as the network grows. Device onboarding matters, but practical compute demand, dependable execution and clear incentive mechanisms matter just as much. For anyone exploring AI and DePIN, this is an interesting model to understand beyond the usual narratives. Start by checking the participation requirements, use a spare phone that does not store your wallets or crypto assets, and review the official guidance before getting involved. Explore Acurast and its smartphone compute network. Join through my referral link: https://hub.acurast.com/rebellion?ref=u3uon3AcurastPaid partnership4.2K views
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