Topaz Empire (@Topaz4kt) header
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i tweet your thoughts | creator & shitposter | amb @StitchHQ

earth
Joined December 2024
Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)Photo by Topaz Empire (@Topaz4kt)
we are now in the final hours of the @FungoLabs x campaign. the campaign closes together with the genesis auction today by 15:30 UTC. make your last posts now and submit your 5 best to the campaign page. posts sent after the close won't count. the leaderboard will be revealed when the campaign ends, and rewards will be distributed at TGE. $FUNGO is coming, hope you're ready!
so far, over 9k people have joined the @FungoLabs x campaign and the fomo is getting real. are you positioned for $FUNGO yet? join in now and start posting the genesis nft mint is today btw hope you're ready!
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gm ct happy wednesday, have a productive day ❤️
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realised you could post this gif and get a banger
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realised you could post this gif and get a banger
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Choosing a USDC vault shouldn’t be just about comparing APYs or chasing points. Understanding how each vault deploys your capital is equally important. I’ve been looking more closely at @atoma_fi, and one thing that stands out is the difference between its two market-neutral vaults. Atoma RWA is focused on generating trading yield through hedged positions in stock and commodity perpetual markets, mainly using Lighter and Trade.xyz. It follows a 3-day withdrawal epoch. Atoma Index, on the other hand, distributes capital across different trading venues, with more emphasis on optimizing points accumulation while keeping directional exposure hedged. Its withdrawal epoch is 7 days. Both aim to limit exposure to general market movements, but they serve slightly different priorities. One focuses more on trading yield, while the other puts greater attention on points opportunities. There’s also the Genesis Boost campaign. Deposits made by November 13 qualify for a multiplier on Atoma Points, with the final rate determined by total TVL at the snapshot. Keep in mind that venue points are not included in the boost. Before depositing, remember that hedging doesn’t eliminate risk. Withdrawals are processed after the applicable epoch and come with a 0.5% fee. Personally, I think understanding the strategy behind a vault should come before choosing where to put your USDC. Explore the options: app.atoma.fi/?ref=BLAZE Genesis Boost details: app.atoma.fi/convergence/cha…
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i need to get rich soon else I'm in big trouble 😭
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AI is only as reliable as the information it works with. in a world where AI agents are making more decisions and interacting with onchain applications, verifying the data they receive becomes increasingly important. this is another interesting direction @primus_labs is exploring. through cryptographic verification and technologies like zkTLS, Primus aims to make external data more trustworthy without exposing sensitive information. imagine AI agents that don't just process information but can also verify where that information comes from. that's an important step toward building a more reliable Web3 ecosystem. privacy, verification and trust will matter even more as AI and blockchain continue to evolve.
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i need to get rich soon else I'm in big trouble 😭
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Topaz Empire retweeted
I just won my 10th hackathon. First win of November. Thank you Lord🙏🙏
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gm ct happy new week
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gm ct happy new week
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Creator Season 1 is live. Create content about Sight and robinhood:0x238e40b75ae78a1388a14e517d855893e92e58db, earn points and compete for USDC and other rewards. Your content. Your points. Your rewards. Start here: creator.sighthood.com
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Your gold has a job now. It did not apply. @strato_net is #3 in Gold & Commodities by DeFi Active TVL, behind Tether and Paxos. $13.2M is in DeFi. $27.66M is tracked metals Active AUM. Different numbers. We are not adding them. GOLDST and SILVST: tokenized gold and silver for borrowing, trading, and savings.
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Topaz Empire retweeted
gm frens happy sunday from fibi 🐶💓
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One of the biggest challenges in Web3 is balancing transparency with privacy. blockchains make transactions publicly verifiable, but not every financial detail should be visible to everyone. think about businesses that want to use blockchain without exposing their payroll, financial positions or sensitive operations. oh yes i'm talking about @primus_labs. through technologies like FHE and zkTLS, Primus is building infrastructure that makes it possible to verify information and work with encrypted data without revealing everything behind it. from confidential transactions to verifiable financial records, the goal is to make onchain finance more practical for real-world use. privacy shouldn't come at the cost of trust. and transparency shouldn't mean exposing everything. that's the balance Primus is working towards.
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What makes @IPXExchange interesting to me is the possibility of making intellectual property ownership and monetization more accessible. Traditional IP markets often involve complicated agreements, slow payment processes and limited opportunities for fans to participate beyond simply consuming content. IPX is exploring a different approach by bringing films, music catalogs and athlete-related deals onchain through tokenized memberships. The combination of real-time USDC settlements, AI-powered brand matching and onchain distribution across Base and Solana is worth paying attention to. But I find the superfan concept particularly interesting. Fans could move beyond simply supporting their favorite creators and gain access to exclusive experiences, memberships and other opportunities within the ecosystem. That creates a different relationship between creators, brands and their communities. However, the bigger test is execution. Can IPX attract valuable IP partnerships, build trust with creators, maintain consistent demand and make these features simple enough for everyday users? The vision is interesting, but real-world adoption will be what matters most. I'm more interested in seeing how the platform performs as these ideas move from concept to actual use. The future of entertainment could give fans a more meaningful role, but the infrastructure has to deliver on its promises.
🤝 Paid partnership
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hey @zachxbt , can we go back to this time again, maybe just one more time ?.
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gm ct happy sunday
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if you’ve been looking for ways to turn your fandom into something rewarding, @IPXExchange has something interesting going on. they’ve officially kicked off Fan SZN, a 10-day campaign featuring a total of $100,000 in rewards. participating is quite straightforward: >choose a fandom you love. >claim your Fan Card. >complete daily activities. > invite friends and create content mentioning @IPXExchange to earn Aura. your Aura determines where you rank on the leaderboard, so the more you accumulate, the higher you move. here’s how the rewards are distributed: • Top 100 participants share 0.05% of $IPX. • Ranks 101–350 split $20,000 in USDC. • There’s also an additional $1,000 bonus for viral content that attracts celebrity engagement. just 10 days, different ways to participate, and an opportunity to earn rewards from something you already enjoy being part of. to join use the link below fanszn.ipx.exchange/i/FAN-DL…
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I should've known i got a GTD spot too easily i know i'm not that lucky
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I asked an AI agent a question no single dataset can answer. It went and found the data itself. This is Fieldwork, my solo build for the #OpenAgentHackathon by @GenAI_Now . My track Track 1: Solving Fragmented Intelligence. The problem: Ask "which Montgomery neighborhoods have high asthma rates and a lot of housing code violations?" The asthma data is on the CDC site, the violations are on the city portal, the neighborhood map is from the Census. No one has that table. What Fieldwork does: You type the question in plain English. It searches public data portals live, connects the sources through @Zetaris without copying any data, checks they really match up, and answers on a map. Every number links back to the real rows it came from. If the data doesn't exist, it says so. In the demo I also point it at Louisville, a city it had never seen. It found the sources and answered in 92 seconds. What I enjoyed most: Seeing my work help the sponsor directly. While building, I hit data sources on Zetaris's own "known to fail" list, so I fixed them and sent pull requests. Both were merged by Zetaris's CTO: - PR #36: Singapore air quality, now working github.com/zetaris/gettin… - PR #39: CDC health data + Census maps, added as new sources github.com/zetaris/gettin… "Super helpful… always great to add another confirmed data source into the set of known to work." After the hackathon I kept going. Using the @cursor_ai agent, PR #43 (merged this week) took the known-to-fail list from 6 sources to 1 github.com/zetaris/gettin… I also had the Cursor agent check Fieldwork's answers. It used only Zetaris and never saw Fieldwork's answers. On 5 of my questions it got the same numbers on 4, and the same top 5 on the last, with a few counts off by 1 or 2. Tools that made the biggest difference: - Zetaris: one SQL query across live CDC data and my own database, with every answer saved back as a reusable view - Meterless engines: H-MEM so the agent remembers which sources worked, World Model to track each run, Scout Intent to block poisoned source text - @nvidia Nemotron: writes the SQL and the answers What I learned, and what I'd do differently: Testing beats demos. On 25 real questions my first full run passed 12. The final run passed 25 of 25, about 47 seconds per answer. The same AI model on its own answered 0 of 20; Fieldwork answered 18. Next time I'd start that full test on day one, not day three. Thank you @GenAI_Now , @Zetaris and Meterless for a great week📌🔥 Try it: askfieldwork.space Code: github.com/Jennycruzy/fie…
Montgomery, Alabama's neighborhood data is spread out. Code violations and 311 requests are with the city, health data with the CDC, and boundaries with the Census Bureau. None of it lines up. So I built Fieldwork for the @GenAI_Now Hackathon Track 1; Solving Fragmented Intelligence Ask a question in plain English. Seven agents find the right public data, join it in @Zetaris , and check every number before you see it. Click any figure to see the record behind it. What it found: 10 of Montgomery's 71 tracts hold 48% of 2025 code violations. It scored 23 of 25 on a fixed test, and every run is published. The same model without the agents answered 0 of 20. Built with @nvidia Nemotron, Zetaris and Meterless. Try it: fieldwork.38-49-216-59.sslip…
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