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Announcing SQD x ADI Chain SQD will provide indexing infrastructure for ADI Mainnet - full historical + real-time data access, developer tooling support, and ongoing hosting. Institutional rails need institutional-grade data.

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sqd.ai

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11,753 次观看 • 5 个月前 •via X (Twitter)

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Delighted to share our latest partnership with Streamr Network! Streamr is at the forefront of P2P real-time data delivery, removing the need for centralized servers. Their network is key infra for DePIN, AI and Web3. It works via a mesh of data pipelines - think of it as ‘BitTorrent for real-time data’. Here's the scoop on our collaboration with Streamr: One Click Node Deployment: CloudVerse users will be able to deploy Streamr nodes and earn $DATA rewards by participating on the network. Ecosystem Network Management: CloudSec and OneSec node base will leverage the Streamr Network for collaboration to synchronize data and coordinate actions. Spawn your own P2P Network: Alongside our upcoming data storage and hosting solutions, OneSec users will be able to create their own ‘publish subscribe’ data pipelines via the Streamr protocol, in a permissionless manner. This partnership is fuelled by our shared commitment to data security, privacy, and a truly decentralized digital world. Here's to the many technical synergies ahead! - End of post, beware of scammers -

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Over the last few months, our engineering teams have been heads down building a high throughput, low-latency blockchain coupled with an exchange replicable across different data centers. We’ve invested thousands of developer hours designing our data infrastructure stack from scratch. We designed our own streaming indexer to serve data to our frontend in real-time, and shipped optimized memory crates to push our general shared IPC to under 100 nanoseconds. This architecture enables us to colocate our sequencers with the key sources of price discovery across all asset classes: Tokyo for crypto, New Jersey for equities, Chicago for commodities. In turn, institutional market makers colocated with GTE bare metal racks will be able to post orders with minimal roundtrip latency, resulting in the tightest spreads and pristine liquidity. We call this GTE Turbo. By optimizing the entire stack from hardware, to the software, into the networking stack, we will build a world where anyone, anywhere, can trade anything, at anytime. lfGTE

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Introducing Aviya - Institutional Credit on Hyperliquid. Aviya is a private, compliance gated credit venue built on Hyperliquid, designed to extend structured credit access to institutional participants. The platform facilitates bilateral, fixed-rate financing, initially against HYPE collateral, with a roadmap to expand into additional asset classes over time. As capital allocators increasingly engage with on-chain markets, access to predictable, structured credit becomes a requirement. Aviya is designed to meet this demand by offering a more controlled alternative to fully permissionless lending systems, while still leveraging the efficiency and settlement advantages of Hyperliquid’s infrastructure. We view Aviya as a core component in the development of HyperLend as the credit layer of the Hyperliquid ecosystem, enabling capital formation, leverage, and structured financing across both native and future tokenized assets such as equities, commodities, fixed-income instruments and even the likes tokenised pre-IPO companies. Over time, Aviya will serve as a gateway for institutional credit into emerging on-chain markets, including real-world and tokenized financial assets. We are also pleased to deepen our collaboration with Hyperion, working together on institutional business development and capital formation. Aviya represents a continued step toward integrating credit natively into the broader Hyperliquid financial system. gLend.

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82,917 次观看 • 1 年前

If you’re designing an app with audio, get ready for the most feature-rich audio support coming in our next release! Some highlights: › Upload audio files and access the microphone for input › Generate real-time waveform data based on input (audio or mic) › currentTime(), TotalTime(), volume, pan, rate, numberOfLoops supported for interactions › Sync multi tracks This release will have mic support and the speech framework will be supported in the future. This project and others will be available in the gallery for you to duplicate and make your own!
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If you’re designing an app with audio, get ready for the most feature-rich audio support coming in our next release! Some highlights: › Upload audio files and access the microphone for input › Generate real-time waveform data based on input (audio or mic) › currentTime(), TotalTime(), volume, pan, rate, numberOfLoops supported for interactions › Sync multi tracks This release will have mic support and the speech framework will be supported in the future. This project and others will be available in the gallery for you to duplicate and make your own!

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