Technology

As prediction markets emerge as a major development direction for Web3 financial applications, blockchain technology is not only providing transparent transaction records but is also evolving into the foundational infrastructure for event market execution and asset settlement. Probly, serving as the second Channel on TxFlow L1 and the first market application built on the TIP3 standard, incorporates prediction markets into the multi-application financial framework of TxFlow L1. This article analyzes Probly’s role within the Web3 ecosystem, discussing how it leverages TIP3, Channel architecture, and TxFlow L1’s shared infrastructure to bridge prediction markets with other on-chain financial products. It also assesses the potential impact of this architecture on the future development of the on-chain financial ecosystem.

Prediction markets have emerged as a key direction in blockchain finance in recent years, enabling real-time data that reflects collective expectations through the judgments of market participants regarding future events. Probly, developed on TxFlow L1, leverages the TIP3 standard and on-chain settlement mechanisms to provide event markets across cryptocurrency, sports, politics, and finance.

Immersion Cooling is an advanced cooling technology that dissipates heat by directly immersing computing devices in an insulating cooling liquid. By improving heat transfer efficiency, reducing thermal stress on equipment, and supporting higher computing density, it delivers next-generation infrastructure solutions for Bitcoin Farm, high-performance computing (HPC), and artificial intelligence (AI) data centers.

Coldcard is a hardware wallet designed for secure Bitcoin storage, minimizing digital asset theft risks through offline signing, private key isolation, and secure chip architecture. In 2026, a Coldcard wallet security event attracted significant market attention; certain impacted wallets contained vulnerabilities in the key generation phase, enabling attackers to derive specific private keys and move on-chain assets. This event underscores that even hardware wallets within self-custody frameworks remain dependent on cryptographic implementation, software integrity, random number generation, and the user's security management proficiency.

Telegram NFTs are blockchain-based digital collectibles built into the Telegram app, letting users own, trade, and verify unique assets such as limited-edition gifts, artworks, usernames, and virtual phone numbers on the TON blockchain. As Telegram has expanded from a messaging platform into a hub for mini-apps and digital assets, these NFTs have gained traction for combining in-app usability with provable ownership, authenticity, and secondary market value.

Secure storage of mnemonic phrases remains a key challenge in cryptocurrency self-custody. UKey's Seed Ring, designed as an NFC ring for everyday wear, provides a backup solution intended to improve both the convenience and security of mnemonic phrase storage.

UKey Seed Ring is a wearable device engineered for securely backing up mnemonic phrases. It utilizes NFC technology, a battery-free structure, and a unique data storage system to strengthen the security of Self-Custody wallets.

Mnemonic phrases serve as the primary recovery credentials for Self-Custody. If they are lost or exposed, digital assets may be permanently unrecoverable or transferred by unauthorized parties. This article examines the key security risks associated with backing up mnemonic phrases, such as paper storage, single-point backups, device loss, and manual management. Additionally, it discusses how UKey Seed Ring utilizes NFC technology, non-plaintext storage, and functional separation to deliver a backup solution that diverges from conventional practices.

COTI V2 is a Layer 2 network dedicated to privacy computing. Utilizing Garbled Circuits and Confidential Computing technologies, it delivers a Smart Contract execution environment for Web3 applications capable of handling sensitive data. This allows transactions, identity verification, financial logic, and AI data to be computed on-chain with robust privacy safeguards.

The continued convergence of the sharing economy and Web3 technology is fueling new and innovative applications for asset sharing. ivault, a peer-to-peer lending platform based in Switzerland, utilizes blockchain verification mechanisms, non-custodial wallets, and a sharing economy model to enable users to securely rent, lend, or sell items.

This article provides an in-depth analysis of ivault’s operational model, detailing how the platform leverages blockchain verification, peer-to-peer (P2P) sharing, non-custodial wallets, and a dual-chain architecture to create a more secure and privacy-centric sharing economy. Additionally, it explains how Web3 technology enhances the transaction processes of traditional sharing platforms.

This article explores ivault’s role in the Web3 sharing economy, examining how blockchain technology resolves the trust, data security, and asset management issues encountered by traditional sharing platforms. It further investigates how non-custodial wallets, P2P lending, dual-chain architecture, and the IVAULT Token work together to create a new sharing economy ecosystem. Additionally, the article discusses how Web3 is reshaping digital ownership and transforming value circulation models for shared assets.

To analyze the ETH/BTC ratio, plot it as its own chart, then use moving averages, RSI, and support/resistance for trend and positioning. Confirm with Bitcoin dominance, altcoin market capitalization, and selective on-chain flow clues. No single indicator is a trade instruction; a complete framework requires multi-evidence agreement and risk limits.

Privacy Computing is a set of technologies designed to facilitate data analysis, computation, and value extraction while safeguarding data privacy. The primary goal is to ensure that data can be securely transferred and used in computations without revealing the underlying raw data. Today, Fully Homomorphic Encryption (FHE), Zero-Knowledge Proof (ZKP), Trusted Execution Environment (TEE), and Multi-Party Computation (MPC) are recognized as the four leading technical approaches in Privacy Computing.

Fully Homomorphic Encryption (FHE) is a privacy-preserving computation technology that allows AI systems to perform calculations directly on encrypted data. Its key capability enables AI model training, inference, and data analysis without revealing the underlying data, while ensuring that results remain consistent with those from plaintext computations. By leveraging ciphertext-based computation, FHE empowers AI systems to utilize data value and simultaneously mitigates the risk of sensitive information exposure.