Hot Interactions Collection | Abstract's New Badge Mission; Noise Beta Version Now Live (April 2nd)

Odaily星球日报Published on 2026-04-02Last updated on 2026-04-02

Abstract

Popular Interaction Roundup: Abstract's New Badge Quest; Noise Beta Now Live (April 2nd) This article highlights three key Web3 projects currently offering interactive opportunities: 1. **Abstract**: A consumer-focused Ethereum L2 developed by Pudgy Penguins' parent company, Igloo Inc. It utilizes ZK technology (like ZKsync) for low-cost, high-speed transactions. Users can participate in "The Flash Trader" event by visiting the rewards portal and completing a swap. The event ends in approximately 6.5 days. 2. **Noise**: An attention market platform where users can trade "long" or "short" contracts on internet trends, brands, or ideas based on social data (e.g., X platform热度). Its Beta version launched on April 1st. Access requires connecting a wallet and a $5 payment to start trading trends. 3. **Miden**: A privacy-focused Ethereum L2 scaling solution using a zero-knowledge rollup. It emphasizes privacy and high throughput by executing transactions locally and submitting only proofs to the chain. Users can interact by installing its specific wallet and completing 11 detailed testnet tasks on its playground. All projects represent significant sectors: consumer L2s, prediction/attention markets, and privacy-centric scaling solutions.

Original | Odaily Planet Daily (@OdailyChina)

Author | Asher (@Asher_ 0210)

Abstract: Consumer-Centric Ethereum L2

Project Introduction

Abstract is a consumer-centric Ethereum L2 developed by Igloo Inc., the parent company of Pudgy Penguins (the chubby penguin NFT project). It utilizes a ZK (Zero-Knowledge) technology stack (such as ZKsync and EigenDA), focusing on low-cost, high-speed transactions, aiming to promote consumer crypto applications, on-chain culture, community, and creativity.

Interaction Tutorial

STEP 1. Go to the official website (link: https://portal.abs.xyz/rewards), click on "Rewards".

STEP 2. Click on The Flash Trader activity, after the link redirects, complete a swap of any amount. The mission ends in 6 and a half days.

Noise: An Attention Market Tool for Building Prediction Market-Related Information Platforms

Project Introduction

Noise is an attention-based trend trading platform (attention market) where users can trade long and short contracts on internet trends, brands, people, or ideas, similar to stock trading. Real-time "cultural relevance" price indicators are formed through social data (such as X platform popularity) and market behavior. On January 14th, Noise announced the completion of a $7.1 million seed funding round, led by Paradigm. The company had previously received investment support from Figment Capital and Anagram, as well as GSR, JPEG Trading, and KaitoAI.

On April 1st, Noise announced on the X platform that the Beta version is now live.

Interaction Tutorial

STEP 1. Go to the official website (link: https://noise.xyz/), click "View Trends" and then log into your personal account to enter the Noise platform Beta version.

STEP 2. Experience the Noise platform (trading on the Noise Beta version requires a payment of $5 first).

Miden: Ethereum L2 Scaling Solution Focused on Privacy Computing

Project Introduction

Miden is an Ethereum L2 scaling solution focused on privacy computing. Miden's core technology is zero-knowledge rollup, built on Ethereum, using Miden VM to execute transactions. It supports parallel transaction execution and client-side proof generation, emphasizing privacy and high throughput. Unlike traditional blockchains, Miden moves computation to the user side; users execute and prove transactions locally, submitting only the proof to the chain.

In late April this year, Miden announced the completion of a $25 million seed funding round, co-led by a16z crypto, Hack VC, and 1kx. Other investors include Finality Capital Partners, Symbolic Capital, and notable angel investors like Aptos co-founder Avery Ching.

Interaction Tutorial

STEP 1. Go to the official website (link: https://playground.miden.xyz/), click "Select Wallet" and follow the instructions to install the wallet.

STEP 2. Complete the 11 testnet tasks according to the requirements (each task has detailed operation guidelines).

Related Questions

QWhat is Abstract and what technology does it use?

AAbstract is a consumer-centric Ethereum L2 developed by Igloo Inc., the parent company of Pudgy Penguins. It uses a ZK (zero-knowledge) technology stack, such as ZKsync and EigenDA, focusing on low-cost, high-speed transactions to drive consumer crypto applications, on-chain culture, community, and creativity.

QHow can users participate in Abstract's 'The Flash Trader' event?

AUsers can participate by visiting the Abstract rewards portal, clicking on 'The Flash Trader' event, and completing a swap of any amount. The event has about 6.5 days remaining.

QWhat is Noise and what recent milestone did it achieve?

ANoise is an attention market platform where users can trade on internet trends, brands, people, or ideas. It announced the launch of its Beta version on April 1st.

QWhat is the funding status of Miden and who were the lead investors?

AMiden completed a $25 million seed funding round in late April, co-led by a16z crypto, Hack VC, and 1kx.

QWhat is the first step to interact with the Miden testnet?

AThe first step is to visit the Miden playground website, click 'Select Wallet', and install the required wallet as per the instructions.

Related Reads

From Farm to Entrepreneur: After Building Flying Cars, He Bet on the Robot Sector and Created a $39 Billion Giant

From Farm to Tech Tycoon: Brett Adcock's Journey to a $39B Robot Giant Brett Adcock, a serial entrepreneur from an Illinois farm, has built his third major venture, humanoid robotics company Figure AI, into a $39 billion behemoth backed by NVIDIA, Intel, and others. His path began with the sale of his recruiting platform Vettery for $110 million in 2018. He then co-founded and took electric air taxi company Archer Aviation public in 2021 before departing over strategic differences. Adcock founded Figure AI in 2022 with a 30-year vision to create general-purpose humanoid robots that can work in human-designed environments, aiming to address labor shortages in manufacturing, logistics, and retail. The company gained attention through live-streamed robot sorting challenges and a viral demo, though it faces skepticism over its high valuation versus early commercial progress. A key moment was Figure's split from OpenAI in 2024 after a brief collaboration, with Adcock claiming OpenAI provided limited value and deciding to develop AI models internally—a move OpenAI contested. Adcock's pattern is tackling capital-intensive, long-term tech frontiers, moving from software to aviation to robotics, betting on AI and automation as the future of labor.

marsbit24m ago

From Farm to Entrepreneur: After Building Flying Cars, He Bet on the Robot Sector and Created a $39 Billion Giant

marsbit24m ago

How to Become a Pro Claude User in 30 Days?

"How to Become a Claude Power User in 30 Days" outlines a structured month-long program to transform from a casual user into someone who leverages Claude as a core productivity system. The first week focuses on mastering prompt structure (Role, Context, Task, Format, Constraints), understanding context windows, and setting up foundational Projects and Memory for personalized context. The second week involves building reusable workflows for research, writing (using a two-step outline-first process), and decision-making. The third week shifts to automation: using Claude Cowork for autonomous file tasks, connecting tools like Google Drive and Slack, and setting scheduled automation. The final week is for compounding gains: optimizing all workflows based on feedback, building a personal knowledge repository, teaching the system to a colleague, and designing a complete, ideal "Claude Operating System." By day 31, the user operates with an autonomous assistant that handles routine tasks with deep context, freeing them for high-value creative and strategic work. The core message is that consistent, systematic configuration over 30 days creates a powerful, personalized productivity advantage.

marsbit1h ago

How to Become a Pro Claude User in 30 Days?

marsbit1h ago

Data: 75% of Traders on Hyperliquid Are Losing Money. What Are the Profitable Ones Using?

On Hyperliquid, approximately 75% of addresses are losing money, indicating that manual traders are increasingly competing against automated systems. Profitable traders primarily employ one of three approaches: 1) Running systematic, high-frequency strategies (e.g., one address executed 261k trades with a 64.75% win rate), 2) Placing high-conviction, asymmetric bets with large positions (e.g., 50 trades yielding $4.48M at a 28% win rate), or 3) Using algorithms for execution while making manual macro judgments. The article argues that traditional methods like chart patterns or reacting to social media news are often already priced in by bots, making such traders the "exit liquidity" for systematic players. Success now depends on unique narrative timing, structural insights, or conviction during market capitulation.

marsbit1h ago

Data: 75% of Traders on Hyperliquid Are Losing Money. What Are the Profitable Ones Using?

marsbit1h ago

Five Core Forms of AI Agent in YC's Eyes

The article outlines five core architectural patterns for effective AI Agents, emerging from tools like Codex and Claude, that move beyond simple prompts towards reusable, process-based capabilities. 1. **Skills**: Reusable, parameterized workflows that function like method calls, allowing a single process (e.g., "/investigate") to handle various tasks based on input parameters. 2. **Thin Harness**: A lightweight execution framework (~200 lines) that manages the AI model's "hands and feet"—handling loops, file I/O, and context—without becoming bloated. 3. **Resolvers**: Routing tables that map tasks to specific Skills, preventing "context corruption" when managing dozens of Skills and ensuring outputs go to the correct locations. 4. **Latent vs. Deterministic Layer**: A critical separation where LLMs handle judgment, synthesis, and pattern recognition, while deterministic code handles tasks requiring precision, consistency, and low cost (like calculations). 5. **Memory**: A persistent, accumulating knowledge base (e.g., a markdown folder) with a "current trusted conclusion" section and an append-only timeline, enabling the system to learn and retain context over time. Together, these patterns create a "process power"—a durable competitive advantage. Unlike one-off prompt-based applications whose value quickly commoditizes, a well-designed AI Agent system encodes experience into reusable, parameterized workflows, offloads stable rules to code, and continuously learns through memory. This creates a structured, hard-to-replicate capability that can provide sustained value for individuals or businesses, such as an accountant automating client reviews while preserving privacy and accumulating expertise.

marsbit1h ago

Five Core Forms of AI Agent in YC's Eyes

marsbit1h ago

Tiger Research: On-Chain Risk Operators, The Market Cap Gap Between 147 Trillion and 70 Billion

This report by Tiger Research examines the evolution of risk management in decentralized finance (DeFi) lending. It highlights a power shift from protocol developers to specialized professional risk operators who manage on-chain capital. The era of protocols and community governance solely dictating DeFi lending is ending. A new professional asset management layer has emerged. While the sector is nascent, capital and distribution channels are rapidly consolidating around top risk operator teams, whose past performance is now a key criterion for institutional entry. The industry's development, accelerated by modular infrastructures like Morpho, has led to a clear division of labor mirroring traditional finance: distribution channels (e.g., exchanges), strategy/risk management (the risk operators), and product infrastructure/asset custody (smart contract protocols). This structure lowers the entry barrier for traditional institutions. Currently, the total value managed by risk operators is approximately $70 billion, dominated by a few leading teams like Steakhouse (RWA focus), Sentora (AI models), and Gauntlet (crisis management). Competition now centers on collateral standards, distribution access, and crisis response capabilities. The report outlines three primary entry paths for institutions: 1) **Distribution Model**: Leveraging external risk operators as backend service providers (common for exchanges). 2) **Asset Supply Model**: Onboarding real-world assets to DeFi as collateral. 3) **Independent Operator Model**: Building an in-house team to become a risk operator (e.g., Bitwise). The core opportunity lies in the strategy/risk management layer, where traditional financial institutions can leverage their existing expertise in due diligence and risk assessment without deep technical development. A vast opportunity gap exists: the global traditional asset management industry manages ~$147 trillion, while the entire DeFi sector is only ~$800 billion, with the risk operator niche at ~$70 billion. This disparity signifies immense growth potential. Once robust risk frameworks and clearer regulations are established, even a minor allocation from traditional markets could trigger exponential DeFi growth. Early movers who help build these foundational systems will gain significant rule-setting influence and first-mover advantages.

marsbit1h ago

Tiger Research: On-Chain Risk Operators, The Market Cap Gap Between 147 Trillion and 70 Billion

marsbit1h ago

Trading

Spot
Futures
活动图片

Hot Categoriesright-arrow

Hot Tagsright-arrow