Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

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.

Space and Time

328,215 subscribers

25,864 views • 2 years ago •via X (Twitter)

News & Politics Science & Technology Education

Anya Rossi• Live Now

Private livecam show

10 Comments

hgtp://D-Trader 📊2 years ago

partnered with #chainlink

Space and Time2 years ago

#VerifyEverything and #LinktTheWorld ✅🤝

Edgars | SxT 🚀 '' 🕷2 years ago

@SpaceandTimeDB is my favorite project.🫶⌛️🚀

darb2 years ago

Based clip

Hilary｜ SxT🚀2 years ago

Revolutionary database innovation @SpaceandTimeDB 🚀🚀🚀🚀

kkk | SXT 🚀2 years ago

very great project

Akin(꧁IP꧂)2 years ago

So good!

faithlight658 ꧁IP꧂ (Ø,G)2 years ago

🚀🚀🚀

Ξnyou27/2 years ago

SxT on the next level

董高瞰$XTER2 years ago

666

Related Videos

.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.

.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.

Grayscale

36,932 views • 1 year ago

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

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

rahul

65,778 views • 11 months ago

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

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

Space and Time

141,637 views • 3 years ago

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.

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.

Evan Boyle

78,057 views • 4 months ago

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.

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.

Space and Time

122,787 views • 1 year ago

Introducing my SQL Agent: How to automate SQL with AI. Today I'll share how to make a SQL AI Agent that can automatically connect to databases, understand the tables and schema, and write and execute high-quality SQL queries. I'll guide you through setting up the SQL Agent, creating dozens of SQL queries, and returning the data from those queries. This AI is a huge help!! Table of Contents: 00:00 Introduction 01:30 How to Get The AI Data Science Agents 03:23 AI Tips Newsletter: Get The Code 04:00 Project Setup 06:30 Setting Up Your First SQL Agent 11:00 Running SQL Queries with the SQL Agent 14:25 Next Steps, Project Roadmap, & AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, February 12th, I'm sharing one of my best AI Projects: SQL-Writing Business Intelligence Team Register here (570+ registered):

Introducing my SQL Agent: How to automate SQL with AI. Today I'll share how to make a SQL AI Agent that can automatically connect to databases, understand the tables and schema, and write and execute high-quality SQL queries. I'll guide you through setting up the SQL Agent, creating dozens of SQL queries, and returning the data from those queries. This AI is a huge help!! Table of Contents: 00:00 Introduction 01:30 How to Get The AI Data Science Agents 03:23 AI Tips Newsletter: Get The Code 04:00 Project Setup 06:30 Setting Up Your First SQL Agent 11:00 Running SQL Queries with the SQL Agent 14:25 Next Steps, Project Roadmap, & AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, February 12th, I'm sharing one of my best AI Projects: SQL-Writing Business Intelligence Team Register here (570+ registered):

Matt Dancho (Business Science)

77,293 views • 1 year ago

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.

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.

Space and Time

23,095 views • 10 months ago

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

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

Space and Time

13,661 views • 1 year ago

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

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

Constellation Network

11,264 views • 1 year ago

In a world where data is constantly extracted and exploited, CESS is building the decentralized data value infrastructure to take it back. 👊 Web3 starts with ownership—and it starts with your data. In CESS, every storage node is a secure vault. Your data. Your rules. Your future. 🔥 🎥 Watch how CESS is rewriting the future below👇 #CESS #Web3 #Blockchain #Data #DePIN #Crypto #AI

In a world where data is constantly extracted and exploited, CESS is building the decentralized data value infrastructure to take it back. 👊 Web3 starts with ownership—and it starts with your data. In CESS, every storage node is a secure vault. Your data. Your rules. Your future. 🔥 🎥 Watch how CESS is rewriting the future below👇 #CESS #Web3 #Blockchain #Data #DePIN #Crypto #AI

CESS Network

142,518 views • 1 year ago

It's launch week . 5 days 5 launches Day 1: SQL Server Data Connector Now you can connect your SQL Server to Julius in just a few clicks and instantly explore your data. Track adoption, analyze performance, and access KPIs all without writing a single line of SQL

It's launch week . 5 days 5 launches Day 1: SQL Server Data Connector Now you can connect your SQL Server to Julius in just a few clicks and instantly explore your data. Track adoption, analyze performance, and access KPIs all without writing a single line of SQL

rahul

48,216 views • 9 months ago

In DBeaver 25.0, there is a faster way to generate queries using AI. Simply enter the anand iyer command in the SQL Editor, type your prompt, and execute it.

In DBeaver 25.0, there is a faster way to generate queries using AI. Simply enter the anand iyer command in the SQL Editor, type your prompt, and execute it.

DBeaver

22,731 views • 1 year ago

See your data on Google Earth's real-world canvas. You can now import large-scale KML and GeoJSON datasets—up to billions of features—directly into Google Earth. Don’t just view your data; validate it against reality. Customize styling, create custom data layers, and uncover new insights to create visualizations that drive decisions. Take advantage of increased storage and file size quotas in our professional plans to securely overlay your proprietary intelligence atop our trusted imagery and data layers to create a single source of truth.

See your data on Google Earth's real-world canvas. You can now import large-scale KML and GeoJSON datasets—up to billions of features—directly into Google Earth. Don’t just view your data; validate it against reality. Customize styling, create custom data layers, and uncover new insights to create visualizations that drive decisions. Take advantage of increased storage and file size quotas in our professional plans to securely overlay your proprietary intelligence atop our trusted imagery and data layers to create a single source of truth.

Google Earth

25,735 views • 5 months ago

Running software fully onchain requires two things: Compute capacity and storage capacity. The Internet Computer uses fully replicated storage: → All nodes store a complete copy of the data → Smart contracts can directly read and write → Feels like RAM in a program that runs forever → Enables interactive Web3 experiences like Web2 This is different from distributed storage where not all nodes have all the data. Replicated storage lets smart contracts compute on data during execution.

Running software fully onchain requires two things: Compute capacity and storage capacity. The Internet Computer uses fully replicated storage: → All nodes store a complete copy of the data → Smart contracts can directly read and write → Feels like RAM in a program that runs forever → Enables interactive Web3 experiences like Web2 This is different from distributed storage where not all nodes have all the data. Replicated storage lets smart contracts compute on data during execution.

DFINITY Foundation

19,427 views • 7 months ago

Your money is worth less. A lot less. Since 2020, inflation has stolen 26.10% of your dollars—while the government covered it up. That’s why Truflation uses SQL Smart Contracts to ensure inflation data is accurate, verifiable, and immune to manipulation. This is our story:

Your money is worth less. A lot less. Since 2020, inflation has stolen 26.10% of your dollars—while the government covered it up. That’s why Truflation uses SQL Smart Contracts to ensure inflation data is accurate, verifiable, and immune to manipulation. This is our story:

Kwil

17,955 views • 1 year ago

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.

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.

Space and Time

291,200 views • 1 year ago

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.

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.

Breed

16,875 views • 10 months ago

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 ↓

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 ↓

Chainlink Everything

28,450 views • 7 months ago

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!

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!

Akshay 🚀

65,672 views • 8 months ago