整理：Glendon，Techub News
ETHGlobal Taipei 2025 Hackathon will be held from April 4 to 6 in Taipei, Taiwan, aiming to explore the latest breakthroughs in Ethereum technology and accelerate collaborative innovation in the global developer ecosystem. A total of 226 projects were selected for this hackathon, with 8 projects standing out and making it to the finals: Signals, Ethereum Fighter, cellfi, AskCiaShen, Solva, "How Doxxed Am I?", and Nomadia. These projects cover various fields including cryptocurrency price prediction, AI agents, AI investment advice, privacy protection, off-chain payments, and SMS encrypted payments, which will be detailed below.
Signals: Bitcoin Price Prediction Application
Signals employs a probability-based dynamic pricing mechanism that not only captures market signals but also transforms collective sentiment into concrete, quantifiable insights.
Specifically, when multiple participants predict a specific price range for Bitcoin, the probability of that range increases accordingly, and the actual market price fluctuations will form a real-time market consensus. Users who predict accurately can receive rewards from a shared reward pool, which naturally encourages users to make precise predictions and improve data quality. The information collected during this process can objectively reflect the overall market sentiment, providing reliable insights for investment decisions, strategic planning, and more.
In contrast, traditional prediction markets often rely on binary (yes/no) outcome mechanisms, which may be limited when predicting continuous variables like asset prices. The Signals platform addresses this limitation through a multi-outcome structure—users can predict specific BTC price ranges, thereby extracting more refined insights from collective behavior. Thus, the platform is no longer confined to a simple "up/down" model but achieves real-time segmented market consensus, incentivizing accurate predictions through a reward system, ultimately transforming collective sentiment into meaningful market insights.
Source code: https://github.com/signals-protocol/signals-app
Ethereum Fighter: DeFi Trading Game
Ethereum Fighter allows players to battle using AI agents and employs fully homomorphic encryption (FHE) technology to ensure the privacy of strategies and asset balances:
On-chain data is fully encrypted: Player locations, asset balances, and other on-chain information remain encrypted throughout;
Zero leakage of strategies: Trading strategies are always hidden from opponents before execution;
Verifiable private interactions: Smart contract interactions are encrypted but can be verified as needed;
Privacy-preserving fair settlement: The final results can prove fairness while protecting player privacy.
This groundbreaking approach enables truly strategy-based fair competition without leaking information, making fair on-chain battles possible. Additionally, agents operate through the large language model Nillion secret LLM and OpernRouter. The core goal of Ethereum Fighter is to guide new users to try different things in a fun way, join AI agents, participate in DeFi simulated trading, and interact with FHE.
Source code: https://github.com/vm06007/EthereumFighter
cellfi: Peer-to-Peer Payment Project Without Internet
cellfi enables users to make SMS-based peer-to-peer payments using the USDC stablecoin—without needing an internet connection. It provides cryptocurrency payment services to the 3.8 billion people globally who own mobile phones but have limited or no internet access by converting SMS instructions into blockchain transactions. Users can send SMS instructions to complete sending, receiving USDC, and checking USDC balances, achieving true offline cryptocurrency payments. This creates a seamless experience where users can participate in the digital economy using familiar SMS technology without needing a smartphone, data plan, or cryptocurrency technical knowledge.
The project's solution is built on a robust tech stack to enhance reliability and accessibility:
Backend: Uses Bun runtime with Hono framework, employing a high-performance server in TypeScript to ensure rapid response and stability;
Frontend: Developed management interface and onboarding portal using React and Next.JS;
SMS Gateway: Connects cellular networks and backend services through Android phones equipped with HTTPSMS;
Blockchain Integration: Integrates Circle SDK to manage smart contract wallets, enabling secure USDC transactions with minimal gas fees;
User Identity: Integrates ENS (Ethereum Name Service) to replace complex wallet addresses with easily readable user identity identifiers.
This system architecture allows SMS instructions to be processed, verified, and executed as blockchain transactions, bridging the gap between traditional mobile technology and cryptocurrency infrastructure.
Source code: https://github.com/pragma-collective/cell-fi
AskCiaShen: AI Agent for Optimizing DeFi Portfolios
Caishen is an AI agent designed for analyzing users' on-chain asset portfolios, providing optimization suggestions to hedge risks, enhance returns, or reduce risks to assist investment decisions. Unlike traditional chatbots, Caishen employs dynamic user interface (UI) generation technology that adjusts the interface experience based on different skill levels, catering to all user needs from beginners to seasoned financial professionals.
The project centers around an AI agent built using Langgraph and dynamic frontend technology. In terms of AI architecture, the project utilizes the Langgraph React Agent technology framework. To obtain user data, it scrapes users' DeFi history and portfolio details through the 1inch protocol and inputs this data into a large language model (LLM) to generate customized questions for portfolio optimization. During this process, the AI backend interacts with the frontend, continuously generating dynamic questions and options until all necessary information is collected. Through progressive data collection, the project can ultimately build personalized investment optimization plans for each user.
Source code: https://github.com/antoncoding/ask-caishen
Solva: Cryptocurrency Payment Application
Solva (derived from the Latin word "solvere," meaning to settle/pay/resolve) is a payment application that requires no wallet, has no fees, and uses no cryptocurrency jargon. It aims to be a user-friendly alternative to fast payment applications like Venmo and PayPal, built on cryptocurrency technology, but users do not need to be aware of it; they simply log in, top up, and transfer to achieve a Venmo-like on-chain payment experience.
User experience (UX) is one of the themes that need continuous improvement and optimization in Web3. Current Web3 applications have too many terms and concepts that ordinary users (such as the elderly) find difficult to understand, while Solva offers an almost zero-threshold operation process:
First, create a Solva account with one click using an email or social account like Google/Apple, and users can activate it after choosing a username;
Second, recharge the account using a credit card, and after a few clicks, users can transfer to friends and family without any transaction signature mode or "Gas fee" prompts.
On the other hand, experienced cryptocurrency users can also log in using their common wallets, recharge their accounts with cryptocurrencies on EVM chains, and have complete control over their underlying wallets (Solva claims it will never access user wallet permissions). Additionally, one potential business model for Solva is to charge transaction fees on payments for businesses, although this was not implemented during the ETHGlobal Taipei hackathon. However, advanced users can still create webhooks to be notified of new transactions, which may be one of the features offered to business users. In short, Solva is a real-world payment application aimed at real-world users.
Source code: https://github.com/RezaRahemtola/ETHGlobal-Taipei2025
"How Doxxed Am I?": On-Chain Privacy Health Check Tool
The issue with public decentralized blockchains is that all operations leave traces. If users are not careful, their ENS domain names can be exposed like marked targets. "How Doxxed Am I?" serves as a free practical public service reminder tool that can display the identity information that users' wallet activities may leak, similar to an on-chain version of Chainalysis, helping them identify potential risks before others exploit them and improve their privacy footprint.
In fact, similar tools already exist and are more powerful, but they are mainly controlled by hacker organizations and government intelligence agencies (Three Letter Agencies). Therefore, "How Doxxed Am I?" aims to help users manage wallet hygiene (regularly checking authorization permissions and history), control on-chain footprints, and learn how to protect themselves in the "dark forest" of DeFi, focusing on:
Portfolio data
Wallet connection analysis
Transaction location analysis
Browser fingerprint recognition
Basic wallet biography data
Source code: https://github.com/kaizau/how-doxxed
DynaVest: DeFAI Agent
DynaVest is an AI agent that automatically executes, optimizes, and adjusts DeFi strategies based on user risk preferences. It allows users to easily interact with DeFi protocols and stay updated on the latest trends and insights in real-time.
Core Features:
Automated Strategy Execution: No manual trading required. Simply select the desired DeFi strategy, and DynaVest will handle the rest;
AI Real-Time Guidance: Users can ask any questions related to DeFi strategies at any time, and the AI agent will instantly analyze the strategy logic, risk parameters, and expected returns;
Multi-Chain Aggregated Execution (Multicall3): Combines Morpho lending, EigenLayer re-staking, and Uniswap liquidity across chains like Flow, Celo, Base, and Ethereum into a single, user-friendly transaction.
Operational Process:
First, users select a DeFi strategy that suits them (low risk, medium risk, or high risk), or receive AI-recommended options; during this process, they can ask any questions related to these DeFi strategies to get the latest information and real-time responses.
Next, with just one signature, the DeFAI system will automatically execute the entire process.
Finally, track and optimize—AI adjusts strategy parameters in real-time based on market fluctuations to maximize returns.
Users only need to select a strategy and provide one signature, while the rest will be handled automatically by the system. By integrating Multicall3, AI Agents system, and RAG technology, DynaVest has built a gas-efficient, user-friendly, and automated DeFi strategy execution system.
Source code: https://github.com/LI-YONG-QI/DynaVest
Nomadia: Peer-to-Peer Currency Exchange Application
Nomadia is a peer-to-peer local currency exchange mini-program that supports offline transactions between real-name authenticated users without the need for banks or intermediaries. This mini-program is built using MiniKit and ensures that only real individuals can initiate transactions or interact through interactive maps, real-time chat, and World ID for identity verification, making local face-to-face transactions safe and convenient.
Source code: https://ethglobal.com/showcase/nomadia-vksf3
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