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Proof of SQL is the only way to ZK prove data source, storage, and compute in a database. Connect verifiable queries against 100TB of preloaded Web3 data indexed from major chains (and your own offchain datasets) to your smart contract. Prove your queries sub-second. Only with Space and Time.

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Space and Time

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25,864 görüntüleme • 2 yıl önce •via X (Twitter)

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hgtp://D-Trader 📊 profil fotoğrafı
hgtp://D-Trader 📊2 yıl önce

partnered with #chainlink

Space and Time profil fotoğrafı
Space and Time2 yıl önce

#VerifyEverything and #LinktTheWorld ✅🤝

Edgars | SxT 🚀 '' 🕷 profil fotoğrafı
Edgars | SxT 🚀 '' 🕷2 yıl önce

@SpaceandTimeDB is my favorite project.🫶⌛️🚀

darb profil fotoğrafı
darb2 yıl önce

Based clip

Hilary｜ SxT🚀 profil fotoğrafı
Hilary｜ SxT🚀2 yıl önce

Revolutionary database innovation @SpaceandTimeDB 🚀🚀🚀🚀

kkk | SXT 🚀 profil fotoğrafı
kkk | SXT 🚀2 yıl önce

very great project

Akin(꧁IP꧂) profil fotoğrafı
Akin(꧁IP꧂)2 yıl önce

So good!

faithlight658 ꧁IP꧂ (Ø,G) profil fotoğrafı
faithlight658 ꧁IP꧂ (Ø,G)2 yıl önce

🚀🚀🚀

Ξnyou27/ profil fotoğrafı
Ξnyou27/2 yıl önce

SxT on the next level

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董高瞰$XTER2 yıl önce

666

Benzer Videolar

.Space and Time $SXT aims to bridge traditional databases and blockchain using Proof of SQL. This zero-knowledge system verifies queries without exposing raw data, enabling scalable, tamper-proof data for smart contracts, AI, and enterprise apps across #Ethereum, $SUI, and more.
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.Space and Time $SXT aims to bridge traditional databases and blockchain using Proof of SQL. This zero-knowledge system verifies queries without exposing raw data, enabling scalable, tamper-proof data for smart contracts, AI, and enterprise apps across #Ethereum, $SUI, and more.

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We're also launching 🔌Data Connectors in Julius AI 📊 Julius can now connect directly to your Postgres database, reason through the schemas, write & run SQL queries and create visualizations in seconds You can also pull datasets from Google Drive and OneDrive into Julius, and export dataframes to Google Sheets and Drive
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We're also launching 🔌Data Connectors in Julius AI 📊 Julius can now connect directly to your Postgres database, reason through the schemas, write & run SQL queries and create visualizations in seconds You can also pull datasets from Google Drive and OneDrive into Julius, and export dataframes to Google Sheets and Drive

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Meet Houston, your AI data engineer. Run natural language queries with prompt-to-SQL and generate instant charts and dashboards. Build a data pipeline in seconds with our OpenAI chatbot. 🚀#MeetHouston
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Introducing Copilot Chronicle. All of your session data indexed and searchable by the agent via FTS and SQL queries. Analyze your sessions to auto-update instructions, find details about that bug you fixed last week, and figure out which times of day you're most productive.
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Introducing Copilot Chronicle. All of your session data indexed and searchable by the agent via FTS and SQL queries. Analyze your sessions to auto-update instructions, find details about that bug you fixed last week, and figure out which times of day you're most productive.

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Proof of SQL just hit a million rows sub-second. You read that right. Proof of SQL is a ZK coprocessor that uses @NVIDIA's accelerated computing and its own custom GPU acceleration framework to process large data volumes faster than any other solution on the market.
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Proof of SQL just hit a million rows sub-second. You read that right. Proof of SQL is a ZK coprocessor that uses @NVIDIA's accelerated computing and its own custom GPU acceleration framework to process large data volumes faster than any other solution on the market.

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Introducing SXT Chain V2: own your data. We're thrilled to share that developers and enterprises can now create their own self-custodied tables on Space and Time, secured by SXT and powered by Proof of SQL.
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Introducing SXT Chain V2: own your data. We're thrilled to share that developers and enterprises can now create their own self-custodied tables on Space and Time, secured by SXT and powered by Proof of SQL.

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Index your ZKsync smart contract events into custom, queryable database tables in just a few clicks. Only on Space and Time.
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Index your ZKsync smart contract events into custom, queryable database tables in just a few clicks. Only on Space and Time.

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Bad data costs businesses millions. Digital Evidence by Constellation Network Network stops the bleeding. Built on years of DoD work. Secures data at the source—tamper-proof, verifiable, and final. From AI pipelines to mining sensors, every data point gets a Smart Checkmark. Save money. Save time. Trust your data. $DAG
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The ticker is SXT. SXT is the native token of Space and Time, designed to sustain a decentralized, permissionless ecosystem that rewards participants for contributing high-quality datasets, securing cryptographically-tamperproof tables, and delivering sub-second ZK proofs to clients on popular chains.
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The ticker is SXT. SXT is the native token of Space and Time, designed to sustain a decentralized, permissionless ecosystem that rewards participants for contributing high-quality datasets, securing cryptographically-tamperproof tables, and delivering sub-second ZK proofs to clients on popular chains.

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1/3 We’re excited to back @Irysxyz - the datachain that fuses high-speed decentralized storage with native smart contract execution. With 100,000 data tx/sec, fixed pricing, and compute built in, Irys redefines what’s possible at the intersection of crypto, AI, and data.

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Get to know the teams of Chainlink Rewards Season 1: Space and Time Space and Time is the data blockchain securing onchain finance, with a new v2 platform tailored for institutional offchain data. Watch the video for more details ↓
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Get to know the teams of Chainlink Rewards Season 1: Space and Time Space and Time is the data blockchain securing onchain finance, with a new v2 platform tailored for institutional offchain data. Watch the video for more details ↓

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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!
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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

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