A quick look at 8 events shortlisted in ETHGlobal Taipei 2025 finals

Compiled by: Glendon, Techub News

The ETHGlobal Taipei 2025 Hacking Song was held in Taipei, China from April 4 to 6, aiming to explore the latest breakthroughs in Ethereum technology and accelerate the collaborative innovation of the global developer ecosystem. The Hackathon was selected in a total of 226 projects, of which 8 were selected and ranked in the finals, namely Signals, Ethereum Fighter, cellfi, AskCiaShen, Solva, "How Doxxed Am I?" and Nomadia. These projects cover multiple fields such as cryptocurrency price prediction, AI agents, AI intelligent investment advice, privacy protection, off-chain payment, and SMS encrypted payment, which will be introduced in detail below.

Signals: Bitcoin Price Forecast Application

Signals adopts a dynamic pricing mechanism based on probability, which not only captures market signals, but also transforms group emotions into concrete and quantifiable insights.

Specifically, when multiple participants predict a specific price range of Bitcoin, the probability of that range will increase accordingly, and the actual fluctuations in market prices will form a market consensus in real time. Users with accurate predictions can receive rewards from the shared reward pool, which will naturally encourage users to accurately predict and improve data quality. The information collected during this process can objectively reflect the overall market sentiment and provide reliable insights for investment decisions, strategic planning, etc.

In contrast, traditional forecasting markets often rely on binary (yes/no) outcome mechanisms, which may be restricted when predicting continuity variables such as asset prices. The Signals platform addresses this limitation with a multi-result structure—users can predict specific BTC price ranges, thereby extracting more refined insights from group behavior. Therefore, the platform is no longer limited to a simple "up and down" model, but instead realizes market segmentation consensus in real time, incentivizes accurate predictions through reward systems, and ultimately transforms group sentiment into meaningful market insights.

Source code address: https://github.com/signals-protocol/signals-app

Ethereum Fighter: DeFi Trading Game

Ethereum Fighter supports players to fight through AI agents and uses Fully Homomorphic Encryption (FHE) technology to ensure privacy of policy and asset balances:

• Full encryption of on-chain data: player location, asset balance and other on-chain information remain encrypted throughout the entire process;

• Zero leak of strategy: trading strategies are always hidden from opponents before execution;

• Verified privacy interaction: smart contract interaction encrypted processing, but can be verified as needed;

• Privacy and fair settlement: The final result can prove fairness while protecting player privacy.

This breakthrough approach enables a truly strategically based fair game without leaking information, making fair on-chain battles possible. Additionally, the agent runs through the large language models Nillion secret LLM and OperanRouter. 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 simulation transactions, and interact with FHE.

Source code address: https://github.com/vm06007/EthereumFighter

cellfi: a peer-to-peer payment project without the internet

cellfi supports users to use USDC stablecoins for peer-to-peer payments based on SMS (SMS) – no internet connection required. By converting SMS instructions into blockchain transactions, it provides cryptocurrency payment services to 3.8 billion people around the world who own mobile phones but have limited or inaccessible Internet access. Users can send SMS instructions through any mobile device to complete the operations of sending, receiving USDC and querying USDC balances, thereby achieving true offline encrypted payments. This creates a seamless experience where users can participate in the digital economy using familiar SMS technology without the need for smartphones, data traffic or cryptocurrency technology knowledge.

The project's solutions are built with a strong technology stack for increased reliability and accessibility:

• Backend: Use the Bun runtime and Hono framework, and use TypeScript's high-performance server to ensure fast response and stability;

• Front-end: Use React and Next.JS to develop management interfaces and starter portals;

• SMS gateway: Connect cellular network and backend services through an Android phone equipped with HTTPSMS;

• Blockchain integration: Integrate Circle SDK to manage smart contract wallets to enable secure USDC transactions with minimal Gas fees;

• User identity: Integrated ENS (Ethereum Domain Name Service), replacing complex wallet addresses with easy-to-read user identity identifiers.

The system architecture enables SMS instructions to be processed, verified and executed as blockchain transactions, creating an accessible bridge between traditional mobile technology and cryptocurrency infrastructure.

Source code address: https://github.com/pragma-collective/cell-fi

AskCiaShen: AI agent that optimizes DeFi portfolio

Caishen is an AI agent designed for user-chain portfolio analysis, assisting investment decisions through optimization suggestions that hedge risks, increase returns or reduce risks. Unlike traditional chatbots, Caishen uses dynamic interface (UI) generation technology, which can adjust the interface experience according to different skill levels to meet all user needs from novices to senior financial practitioners.

The project centers on AI agents built using Langgraph and dynamic front-ends. In terms of AI architecture, the project adopts the Langgraph React Agent technical framework. To obtain user data, it crawls the user's DeFi history and portfolio details through the 1inch protocol and enters this data into the Large Language Model (LLM) to generate customization issues 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, this project can ultimately build a personalized investment optimization solution for each user.

Source code address: https://github.com/antoncoding/ask-caishen

Solva: Cryptocurrency Payment App

Solva (from the Latin word "solve", meaning settlement/payment/solve) is a payment application without wallet, no fees, and no encryption terms. It aims to become a user-friendly alternative to fast payment applications such as Venmo and PayPal. Its underlying use of cryptocurrency technology, but users do not need to perceive it. They only need to log in, top up, and transfer money to achieve an on-chain payment experience similar to Venmo.

As we all know, user experience (UX) is one of the topics in Web3 that need continuous improvement and optimization. Currently, Web3 applications have too many terms and concepts to be understood, so that ordinary users (such as older groups) are difficult to get started. Solva provides an almost zero-threshold operation process:

• First, create a Solva account with one click through your email or social accounts such as Google/Apple. The user can enable it after selecting his/her username;

• Secondly, use a credit card to recharge your account, and you can transfer money to friends and family after a few clicks. There is no transaction signature mode throughout the whole process or a "Gas fee" prompt.

On the other hand, senior cryptocurrency users can also log in with their common wallets, top up their accounts with cryptocurrencies on the EVM chain, and have full control over their underlying wallets (Solva says they will never touch user wallet permissions). Additionally, one potential business model for Solva is to charge transaction fees for businesses to pay, and while this was not implemented during ETHGlobal Taipei Hackathon, advanced users can still create webhooks to alert new transactions, which may be one of the features offered to business users. In short, Solva is a real-world payments app for real-world users.

Source code address: https://github.com/RezaRahemtola/ETHGlobal-Taipei2025

" How Doxxed Am I?": On-chain privacy and health detection tool

The problem with public decentralized blockchain is that all operations will leave traces. If a user is not careful, his ENS domain name will be exposed as if he is marked as a bull's eye. "How Doxxed Am I?" is a free and practical public service reminder tool that displays identity information that users' wallet activity may be leaked, just like the on-chain version of Chainalysis, helping them identify potential risks and improve their privacy footprint before others exploit it.

In fact, similar tools have existed long ago and are more powerful, but they are mainly in the hands of hacker organizations and government intelligence agencies (Three Letter Agencies). Therefore, "How Doxxed Am I?", as the basic tool, aims to help users more easily manage wallet sanitation (regularly check authorization permissions and history), on-chain footprint control, and how to protect themselves in DeFi's "dark forest". The specific directions include:

• Asset portfolio data

• Wallet Connection Analysis

• Trading location analysis

• Browser fingerprint recognition

• Basic biographical data of wallet

Source code address: https://github.com/kaizau/how-doxxed

DynaVest: DeFAI Intelligent

DynaVest is an AI agent that automatically executes and optimizes and adjusts DeFi policies based on user risk preferences. It enables users to easily interact with DeFi protocols and keep up to date with the latest trends and insights in real time.

Core functions:

• Automated policy execution: no manual transaction is required. Simply select the desired DeFi policy and DynaVest will handle the rest;

• Real-time AI guidance: You can ask any DeFi policy-related questions at any time, and the AI ​​agent will instantly analyze the policy logic, risk parameters and expected returns;

• Multi-chain aggregation execution (Multicall3): combines Morpho lending, EigenLayer re-staking, and Uniswap liquidity on chains such as Flow, Celo, Base, and Ethereum to integrate them into a single, easy-to-use transaction.

Operation process:

• First, users choose a DeFi strategy that suits them (low, medium, or high risk), or recommends an adaptation plan by AI; in the process, ask any questions related to these DeFi strategies, get the latest information and get real-time responses.

• Subsequently, only one signature is required, and the DeFAI system will automatically execute the entire process.

• Finally, tracking and optimization - AI adjusts strategy parameters in real time based on market volatility to maximize returns.

The user only needs to select a policy and sign it once, and the rest will be automatically completed by the system. By integrating Multicall3, AI Agents systems and RAG technologies, DynaVest has built a Gas-saving, user-friendly and automated DeFi policy execution system.

Source code address: https://github.com/LI-YONG-QI/DynaVest

Nomadia: Peer-to-peer currency exchange application

Nomadia is a peer-to-peer local currency exchange applet that supports offline transactions between real-name authenticated users without the need for banks or intermediaries. Built with MiniKit, the applet enables authentication with interactive maps, live chats, and World IDs, ensuring that only real people can initiate transactions or interact, making local face-to-face transactions safe and easy.

Source code address: https://ethglobal.com/showcase/nomadia-vksf3