
Trend of AI Adoption in Educational Institutions and Recall Network, AI Reputation Protocol
The mass adoption of AI in many areas of human life is already a fact and is rapidly gaining momentum. But since it is a tool, not a panacea for solving all issues, it requires verification of effectiveness, debugging, and building trust. The best models and solutions will become fundamental in AI, just as Web2 companies and technologies once did.Current AI Statistics in Education71% of US elementary schools already use AI teaching assistants66% of elementary schools include AI literacy modul...

A New Level of RWA: Hydra X and the Sigma Value Token on the Canton Network
While researching trends in RWA and blockchain solutions for institutional participants, I came across Canton Network and Hydra X, a Singapore-based fintech company. I was intrigued by the seriousness with which institutional-grade financial instruments are being introduced into the crypto market. I will try to summarize the main points briefly and clearly.1. Canton Network: a new architecture for institutional blockchain solutionsCanton is a public blockchain (Layer-1) focused on institution...

From HTTP to HTTPS, from HTTPS to HTTPZ: Meet Zama Protocol and Fully Homomorphic Encryption
Just as the internet once moved from no encryption (HTTP) to data encryption in transit (HTTPS), the next natural step will be the use of FHE to enable end-to-end encryption by default in every application. This will be called HTTPZ.

Trend of AI Adoption in Educational Institutions and Recall Network, AI Reputation Protocol
The mass adoption of AI in many areas of human life is already a fact and is rapidly gaining momentum. But since it is a tool, not a panacea for solving all issues, it requires verification of effectiveness, debugging, and building trust. The best models and solutions will become fundamental in AI, just as Web2 companies and technologies once did.Current AI Statistics in Education71% of US elementary schools already use AI teaching assistants66% of elementary schools include AI literacy modul...

A New Level of RWA: Hydra X and the Sigma Value Token on the Canton Network
While researching trends in RWA and blockchain solutions for institutional participants, I came across Canton Network and Hydra X, a Singapore-based fintech company. I was intrigued by the seriousness with which institutional-grade financial instruments are being introduced into the crypto market. I will try to summarize the main points briefly and clearly.1. Canton Network: a new architecture for institutional blockchain solutionsCanton is a public blockchain (Layer-1) focused on institution...

From HTTP to HTTPS, from HTTPS to HTTPZ: Meet Zama Protocol and Fully Homomorphic Encryption
Just as the internet once moved from no encryption (HTTP) to data encryption in transit (HTTPS), the next natural step will be the use of FHE to enable end-to-end encryption by default in every application. This will be called HTTPZ.

Subscribe to Alex44

Subscribe to Alex44
<100 subscribers
<100 subscribers
Share Dialog
Share Dialog


The future of smart contracts isn’t just about logic — it’s about data. What if your contract could react not only to blockchain transactions, but also to your app data, external sources, and real-time analytics?That’s exactly what Space and Time (SXT) is here to enable.
SXT is a decentralized SQL ZK coprocessor that lets you connect, query, and ZK-prove data from multiple blockchains and external sources — all in sub-seconds. Think of it as the missing data layer for the next generation of dApps.

Space and Time combines:
a decentralized blockchain indexer
a lightning-fast ZK coprocessor
a fully integrated SQL engine for both onchain and offchain data
With Proof of SQL, your smart contracts can make complex, data-driven decisions — and receive cryptographically verified answers by the next block.
SXT indexes top chains like Ethereum, Bitcoin, Polygon, ZKsync, Avalanche, and more. You can combine that data with your app's own dataset (e.g. from your backend or analytics stack).
Example: A GameFi dApp rewards users based on both onchain NFT activity and offchain player progress. With SXT, these data sources become queryable in one SQL request.
Use traditional SQL to explore smart contract events, storage changes, user activity — or let the AI assistant convert your natural language prompts into queries.
Example: Ask “Which wallets traded the most volume in the past 24h?” and the assistant builds your query, ready to run or visualize.
With Proof of SQL, any query can be ZK-verified and passed to your smart contract — ensuring tamper-proof, decentralized data logic.
Example: A DeFi strategy reads the median token price across multiple DEXes — verified without relying on an external oracle.
You can expose queries via APIs, integrate them into apps, or feed results directly into other contracts. That means real-time transparency, composability, and onchain expressiveness — powered by data.
Example: Build an onchain leaderboard or governance dashboard — provable, trustless, and always up to date.
DeFi protocol teams
GameFi & NFT builders
DAO tooling devs
Web3 analytics & AI startups
Anyone building dApps that need real, trustworthy data
Head over to Space and Time Studio
Connect your wallet and choose a data source
Start querying, visualizing, and publishing ZK-proven results
The future of smart contracts isn’t just about logic — it’s about data. What if your contract could react not only to blockchain transactions, but also to your app data, external sources, and real-time analytics?That’s exactly what Space and Time (SXT) is here to enable.
SXT is a decentralized SQL ZK coprocessor that lets you connect, query, and ZK-prove data from multiple blockchains and external sources — all in sub-seconds. Think of it as the missing data layer for the next generation of dApps.

Space and Time combines:
a decentralized blockchain indexer
a lightning-fast ZK coprocessor
a fully integrated SQL engine for both onchain and offchain data
With Proof of SQL, your smart contracts can make complex, data-driven decisions — and receive cryptographically verified answers by the next block.
SXT indexes top chains like Ethereum, Bitcoin, Polygon, ZKsync, Avalanche, and more. You can combine that data with your app's own dataset (e.g. from your backend or analytics stack).
Example: A GameFi dApp rewards users based on both onchain NFT activity and offchain player progress. With SXT, these data sources become queryable in one SQL request.
Use traditional SQL to explore smart contract events, storage changes, user activity — or let the AI assistant convert your natural language prompts into queries.
Example: Ask “Which wallets traded the most volume in the past 24h?” and the assistant builds your query, ready to run or visualize.
With Proof of SQL, any query can be ZK-verified and passed to your smart contract — ensuring tamper-proof, decentralized data logic.
Example: A DeFi strategy reads the median token price across multiple DEXes — verified without relying on an external oracle.
You can expose queries via APIs, integrate them into apps, or feed results directly into other contracts. That means real-time transparency, composability, and onchain expressiveness — powered by data.
Example: Build an onchain leaderboard or governance dashboard — provable, trustless, and always up to date.
DeFi protocol teams
GameFi & NFT builders
DAO tooling devs
Web3 analytics & AI startups
Anyone building dApps that need real, trustworthy data
Head over to Space and Time Studio
Connect your wallet and choose a data source
Start querying, visualizing, and publishing ZK-proven results
No activity yet