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Popular Interaction Collection | xStocks Launches Points Program; Noise Waiting List Application (March 13)

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Odaily星球日报
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3 hours ago
AI summarizes in 5 seconds.

Original | Odaily Planet Daily (@OdailyChina)

Author | Asher (@Asher_0210)

xStocks: US Stock Tokenization Platform

Project Introduction

Backed Finance is an infrastructure provider responsible for issuing on-chain representations of traditional financial assets, including stocks, ETFs, and bonds. The company was acquired by Kraken in December 2025 and launched xStocks in June of the same year, offering tokenized stock products backed by real stocks held by Swiss custodial partners.

Currently, xStocks has been integrated into multiple centralized platforms, including Kraken, Gate, Bybit, and Bitget, and supports Ethereum, Solana, and Tron. Over 70 assets have been tokenized through xStocks, with a total asset management scale reaching $215 million and the number of holders nearing 60,000. This accounts for approximately 23% of the entire tokenized stock market.

This week, xStocks announced on the X platform, the launch of the xPoints rewards program, where users can connect their wallets to lock in a 20% early bird bonus.

Interaction Tutorial

STEP 1. Visit the official website (link: https://defi.xstocks.fi/points), click “Connect Wallet” to log in to your account.

STEP 2. Click “Secure Your Boost” to lock in the 20% early bird bonus.

Additionally, the official statement indicates that the detailed rules for the points are currently in the final confirmation stage and will be announced soon. After the announcement, Odaily Planet Daily will provide an analysis of the points rules and interaction strategies.

Noise: Attention Market Tool for Building Information Platforms for Prediction Markets

Project Introduction

Noise is an attention-based trend trading platform, where users can trade long and short contracts on internet trends, brands, personalities, or ideas, similar to stock trading, forming a real-time “cultural relevance” price indicator through social data (such as popularity on the X platform) and market behavior. On January 14, Noise announced the completion of a $7.1 million seed round financing, led by Paradigm, with support from investors including Figment Capital, Anagram, GSR, JPEG Trading, and KaitoAI.

On March 12, Noise announced on the X platform that the platform will soon launch, and early waitlist applications are now open.

Interaction Tutorial

Visit the official website (link: https://www.noise.xyz/), fill in your personal email and click “Join Waitlist,” then complete email verification to finish the early waitlist application.

Linera: L1 Public Chain Built with MOVE Language

Project Introduction

Linera is an L1 public chain built with the MOVE language, aimed at providing a secure, highly scalable, low-latency blockchain to offer faster response times for Web3 applications. Linera aims to support the most demanding Web3 applications by delivering predictable performance, security, and responsiveness at internet scale. To achieve this, Linera addresses blockchain space scarcity through a new integrated multi-chain model based on elastic validators. The founding team of Linera mostly consists of former engineers and researchers from Zcash and former Meta/Novi. Linera's founder Mathieu Baudet previously worked as an engineer at Meta.

According to ROOTDATA data, Linera has completed two rounds of financing with a total amount of $12 million, with investment firms including a16z, Borderless Capital, Laser Digital, and others.

Interaction Tutorial

STEP 1. Visit the official website (link: https://portal.linera.net/), click “Sign in” to complete account login, and access the second-season activity homepage.

STEP 2. Click “Quests,” and first join the official Discord to receive role unlock tasks, unlocking more tasks thereafter.

STEP 3. Visit the Linera prediction market section (link: https://linera.market/?market=BTC), and claim GMIC game coins for free, which can be used in the BTC, SOL, and ETH prediction markets for experience.

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