{"id":"adk-ts-hackathon-2025","title":"ADK-TS Hackathon 2025","content":"The **ADK-TS Hackathon 2025** was a four-week virtual competition organized by [IQ AI](https://iq.wiki/wiki/iq-ai) and hosted on the DoraHacks platform. It was created to encourage developers to build innovative artificial intelligence agents using the [Agent Development Kit for TypeScript (ADK-TS)](https://iq.wiki/wiki/adk-for-typescript). The event, which ran from September 25 to October 23, 2025, featured a $4,000 prize pool paid in stablecoins and attracted significant participation from the global developer community. [\\[1\\]](#cite-id-WXmg8mDN8F) [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n## Overview\n\nThe ADK-TS Hackathon 2025 was a global, online competition designed to showcase the capabilities of [IQ](https://iq.wiki/wiki/iq) AI's open-source [Agent Development Kit for TypeScript](https://iq.wiki/wiki/adk-for-typescript). Registration for the event opened on September 25, 2025, and it concluded with the submission deadline on October 23, 2025. The winners were subsequently announced by October 30, 2025. The hackathon saw substantial engagement, with 122 builders participating from around the world. This participation resulted in 36 project submissions. A total of $4,000 in prizes was distributed among the top projects selected by the judges. [\\[1\\]](#cite-id-WXmg8mDN8F) [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n## Background and Goals\n\nThe hackathon was launched by [IQ AI](https://iq.wiki/wiki/iq-ai) to accelerate the adoption and demonstrate the versatility of the [ADK-TS](https://iq.wiki/wiki/adk-for-typescript) framework. The event provided a hands-on opportunity for developers to explore the potential of building sophisticated, autonomous AI agents capable of solving complex, real-world problems. The organization outlined three primary goals for the competition. [\\[1\\]](#cite-id-WXmg8mDN8F)\n\nThe main objectives were:\n\n* **Foster Innovation:** To inspire developers to create novel applications and solutions using AI agents, pushing the boundaries of what was considered possible with the technology.\n* **Expand the Ecosystem:** To encourage the creation of new tools, applications, and especially [Model Context Protocol (MCP)](https://iq.wiki/wiki/model-context-protocol) servers. These expansions enrich the ADK-TS ecosystem by enabling agents to connect to and interact with a wider array of data sources and APIs.\n* **Grow the Community:** To bring together a global community of developers, innovators, and builders passionate about AI agent technology, fostering an environment of collaboration and knowledge sharing. [\\[1\\]](#cite-id-WXmg8mDN8F)\n\n## Tracks and Judging Criteria\n\nTo structure the competition and guide submissions, the hackathon was divided into three main tracks and five bonus tracks. All submitted projects were evaluated by a panel of judges against a consistent set of criteria to ensure a fair and comprehensive assessment. [\\[1\\]](#cite-id-WXmg8mDN8F) [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n### Tracks\n\nSubmissions were categorized into the following tracks: [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n#### Main Tracks\n\nThe main tracks each had a prize of $1,000. [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n* **Best Agent Application:** This track was designed for projects that demonstrated practical, real-world utility. The emphasis was on creating a tangible solution to a specific problem, showcasing the agent's effectiveness and user value.\n* **Best MCP Expansion:** This track focused on projects that created new Model Context Protocol (MCP) servers. The goal was to expand the capabilities of the entire agent ecosystem by enabling AI agents to connect to and interact with new data sources or external APIs.\n* **Best Web3/Blockchain Use Case:** This track was dedicated to agents designed to interact with decentralized technologies. Projects in this category included agents that interfaced with DeFi protocols, analyzed blockchain data, or managed smart contracts.\n\n#### Bonus Tracks\n\nThe bonus tracks each had a prize of $200 and were awarded to projects for specific achievements: [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n* **Most Practical Real-World Use Case:** For the project with the clearest potential for real-world adoption.\n* **Best Bot Integration:** For the most effective integration with messaging platforms like Discord, Telegram, or Slack.\n* **Best Technical Implementation:** For the project with the strongest technical execution and architecture.\n* **Best Improvement to ADK-TS:** For a project that extended or enhanced the ADK-TS framework itself.\n* **Best Collaboration/Team Agent or MCP:** For the project that best demonstrated multi-agent collaboration or enhanced group workflows.\n\n### Judging Criteria\n\nProjects were evaluated based on four key criteria:\n\n* **Innovation:** The originality and creativity of the project's concept and its approach to solving a problem.\n* **Technical Implementation:** The quality, complexity, and overall execution of the code and system architecture.\n* **Real-World Utility:** The project's potential for practical application, its impact, and its viability as a useful tool or service.\n* **Effective Use of ADK-TS:** How well the project leveraged the core features, architecture, and capabilities of the ADK-TS framework in its implementation. [\\[1\\]](#cite-id-WXmg8mDN8F)\n\n## Eligibility and Submission Requirements\n\nThe hackathon was open to participants worldwide, who could compete individually or in teams of up to four members. All projects were required to be built from scratch during the event. [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n### Submission Requirements\n\nTo be considered for judging, each submission had to include:\n\n* A public GitHub repository containing the full source code.\n* A recorded video demo (maximum 5 minutes).\n* A description of how the ADK-TS framework was used.\n* A live demo or hosted version for judges to test.\n  [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n## Winners\n\nThe $4,000 prize pool was distributed among the winning teams. Three projects were selected as main track winners, receiving the top prizes, while several other projects were recognized with bonus awards for their outstanding contributions in specific areas. [\\[1\\]](#cite-id-WXmg8mDN8F) [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n### Main Track Winners\n\nThe top three projects each received a $1,000 prize for their exceptional work in their respective categories. These projects were recognized for their comprehensive implementation, innovative concepts, and significant potential impact. [\\[1\\]](#cite-id-WXmg8mDN8F) [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n#### **CodeForge AI (Best Agent Application)**\n\nCreated by Thinh Dinh, CodeForge AI is a multi-agent development platform that orchestrates over 10 specialized AI agents within a unified workflow. The platform is designed to automate a wide range of software development tasks, including code generation, security scanning, testing, and performance optimization. It also integrates with GitHub for version control, generates AI images for projects, and assists with documentation. The platform is accessible across multiple interfaces, including web, Telegram, and voice commands. [\\[2\\]](#cite-id-CbCYJyNEGe) [\\[3\\]](#cite-id-gLTxi7jPX9)\n\n#### **OpsPilot (Best MCP Expansion)**\n\nDeveloped by Himanshu Soni, OpsPilot is a Discord-native AI on-call team designed for DevOps automation. The agent monitors systems using Prometheus alerts, triages incidents, analyzes logs with semantic search, and can autonomously generate GitHub pull requests to fix identified issues. It utilizes multiple Model Context Protocols (MCPs) to connect with a suite of DevOps tools, including GitHub, Jira, and PagerDuty, while ensuring that human operators can oversee and approve critical decisions. [\\[2\\]](#cite-id-CbCYJyNEGe) [\\[4\\]](#cite-id-MpED7uZGCT)\n\n#### **ChainInsight (Best Web3/Blockchain Use Case)**\n\nCreated by Shreshth, ChainInsight is an AI agent that functions as a \"DeFi co-pilot,\" streamlining the entire decentralized finance workflow through a single conversational interface. The agent automates protocol research, performs safety analysis using live data, simulates transactions to assess risk, and prepares those transactions for signing with wallets like [MetaMask](https://iq.wiki/wiki/metamask). Users can issue natural language commands to execute complex DeFi operations. [\\[2\\]](#cite-id-CbCYJyNEGe) [\\[5\\]](#cite-id-sKFXn6BM3F)\n\n### Bonus Track Winners\n\nIn the bonus categories, five projects earned $200 each. [\\[1\\]](#cite-id-WXmg8mDN8F) [\\[2\\]](#cite-id-CbCYJyNEGe)\n\n#### **Confluent (Most Practical Real-World Use Case)**\n\nDeveloped by David Ajibola, Confluent is an MCP server and AI agent that unifies the Zoho Books and Xero accounting platforms. It allows users to manage financial data, create invoices, and automate email notifications through either a Discord bot or a terminal interface. The project uses secure OAuth for authentication and Redis for session management. [\\[2\\]](#cite-id-CbCYJyNEGe) [\\[6\\]](#cite-id-JJYe1KeEzT)\n\n#### **BingeBird (Best Bot Integration)**\n\nCreated by Rohit Keerthikanth, BingeBird is a Telegram bot for entertainment discovery. The agent connects to an \"Entertainment MCP server\" to fetch real-time data on movies, TV shows, and anime. It allows users to manage a personalized watchlist, helps craft review tweets based on the content, and can post them directly to X (formerly Twitter). [\\[2\\]](#cite-id-CbCYJyNEGe) [\\[7\\]](#cite-id-YjhAvDz6hq)\n\n#### **Obrix (Best Technical Implementation)**\n\nObrix is an AI-powered monitoring platform designed to detect wash trading and [pump & dump](https://iq.wiki/wiki/pump-and-dump) schemes in real-time across DeFi liquidity pools, such as those on [Uniswap](https://iq.wiki/wiki/uniswap) V4. Developed by user , the platform uses Large Language Model (LLM) agents to analyze on-chain swap data, track volatility, and monitor Time-Weighted Average Price (TWAP) metrics, issuing detailed alerts for any suspicious activity it identifies. [\\[2\\]](#cite-id-CbCYJyNEGe) [\\[8\\]](#cite-id-i2fYsZk5Gd)\n\n#### **Bazaaro (Best Improvement to ADK-TS)**\n\nThis project integrated ADK-TS with Coinbase's CDP AgentKit to create an AI-powered service aggregator. It utilizes a three-agent system to discover, orchestrate, and synthesize responses from multiple paid APIs. [\\[1\\]](#cite-id-WXmg8mDN8F)\n\n#### **On Chain Analysis Agent (Best Collaboration/Team Agent or MCP)**\n\nA multi-agent system that delivers token intelligence by coordinating specialized agents to detect tokens, fetch market data, perform web research, and synthesize the information into actionable analysis. [\\[1\\]](#cite-id-WXmg8mDN8F)\n\n### Noteworthy Projects\n\nFive other projects were recognized for their innovation. [\\[1\\]](#cite-id-WXmg8mDN8F)\n\n* **Chain Pilot:** An AI-powered blockchain terminal for multi-chain operations and NFT portfolio management via natural language commands.\n* **BlockIQ:** An analytics platform for the [Stacks](https://iq.wiki/wiki/stacks) blockchain that uses custom MCP tools to turn on-chain data into conversations and visualizations.\n* **ReflectIQ:** An AI-powered journal with semantic search, automatic goal tracking, and team collaboration features.\n* **KeeperDCA:** An agent that automates dollar-cost averaging using the [MetaMask](https://iq.wiki/wiki/metamask) Delegation Toolkit, enabling 24/7 execution without giving up custody of funds.\n* **Mendel.AI:** A drug discovery automation tool on Telegram that uses six specialized agents to manage the full discovery cycle and deliver molecular candidates.","summary":"The ADK-TS Hackathon 2025 was a four-week virtual event by IQ AI for developers to build AI agents using ADK-TS. It had a $5,000 prize pool, 122 participants, and 50 project submissions across categories like Web3, Agent Apps, and MCP Expansion.","images":[{"id":"QmYRTrzBgZJgwgzvBCyBBC6gCcnbcWsHbzsU4copH7Sp9f","type":"image/jpeg, image/png"}],"categories":[{"id":"organizations","title":"organizations"}],"tags":[{"id":"Hackathon"},{"id":"Developers"},{"id":"AI"},{"id":"Events"}],"media":[{"id":"QmbeCtFwCyJjEU9R3uuiGRty91dpkAE72YrBYeAzKQorGh","type":"GALLERY","source":"IPFS_IMG"},{"id":"QmXzWA9WWRkuD6b4HMMhFDqTv9BWHfn3EsL8QHVHEr8wkn","type":"GALLERY","source":"IPFS_IMG"},{"id":"QmSyT1r6EzdrDKefnEPPVtXvC1tBYZoZLhy9qDaKiEex33","type":"GALLERY","source":"IPFS_IMG"},{"id":"QmTT2BcNWJipGFTPE9WaJ1p38skgJzy1DcGbQAnNoMMvys","type":"GALLERY","source":"IPFS_IMG"}],"metadata":[{"id":"website","value":"https://adk.iqai.com/"},{"id":"references","value":"[{\"id\":\"WXmg8mDN8F\",\"url\":\"https://blog.iqai.com/adk-ts-hackathon-2025-winners-announced/\",\"description\":\"ADK-TS Hackathon 2025 Winners Announcement\",\"timestamp\":1762981451883},{\"id\":\"CbCYJyNEGe\",\"description\":\"Event link\",\"timestamp\":1762984470650,\"url\":\"https://dorahacks.io/hackathon/adk-ts-hackathon-2025/detail\"},{\"id\":\"gLTxi7jPX9\",\"url\":\"https://x.com/IQAICOM/status/1986008707847598340\",\"description\":\"IQ AI X.com Post on CodeForge AI\",\"timestamp\":1762983088484},{\"id\":\"MpED7uZGCT\",\"url\":\"https://x.com/IQAICOM/status/1986437056793362784\",\"description\":\"IQ AI X.com Post on OpsPilot\",\"timestamp\":1762983088484},{\"id\":\"sKFXn6BM3F\",\"url\":\"https://x.com/IQAICOM/status/1986809414645370883\",\"description\":\"IQ AI X.com Post on ChainInsight\",\"timestamp\":1762983088484},{\"id\":\"JJYe1KeEzT\",\"url\":\"https://x.com/IQAICOM/status/1987880630143566246\",\"description\":\"IQ AI X.com Post on Confluent\",\"timestamp\":1762983088484},{\"id\":\"YjhAvDz6hq\",\"url\":\"https://x.com/IQAICOM/status/1988267386777047268\",\"description\":\"IQ AI X.com Post on BingeBird\",\"timestamp\":1762983088484},{\"id\":\"i2fYsZk5Gd\",\"url\":\"https://x.com/IQAICOM/status/1988636913087975526\",\"description\":\"IQ AI X.com Post on Obrix\",\"timestamp\":1762983088484},{\"id\":\"9d1b869f-2531-4178-9ac8-fb45ab2d6811\",\"url\":\"https://github.com/IQAIcom/adk-ts\",\"description\":\"ADK-TS GitHub Repository\",\"timestamp\":1762985334465}]"},{"id":"github_profile","value":"https://github.com/IQAICOM/adk-ts"},{"id":"youtube_profile","value":"https://www.youtube.com/@iqtoken"},{"id":"previous_cid","value":"\"https://ipfs.everipedia.org/ipfs/QmZzcRLmZ2GcYcM3N6MpHnbXQBuAzGH178ZY8mxtGHvZkD\""},{"id":"commit-message","value":"\"Updated wiki content\""},{"id":"previous_cid","value":"QmZzcRLmZ2GcYcM3N6MpHnbXQBuAzGH178ZY8mxtGHvZkD"}],"events":[{"id":"5c447530-014c-4c96-9361-92957c40ec3c","date":"2025-09","title":"Hackathon Announced and Registration Opens","type":"DEFAULT","description":"IQ AI officially announced the ADK-TS Hackathon 2025, opening registration for developers worldwide to participate in the four-week virtual event.","link":"https://blog.iqai.com/adk-ts-hackathon-2025/","multiDateStart":null,"multiDateEnd":null,"continent":"Unknown","country":"Unknown"}],"user":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"author":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"operator":{"id":"0x1E23b34d3106F0C1c74D17f2Cd0F65cdb039b138"},"language":"en","version":1,"linkedWikis":{"blockchains":[],"founders":["iq-ai"],"speakers":[]},"recentActivity":"{\"items\":[{\"id\":\"d128e60d-17a7-4151-9833-9a03b1856a7a\",\"title\":\"ADK-TS Hackathon 2025\",\"description\":\"The ADK-TS Hackathon 2025 was a four-week virtual event by IQ AI for developers to build AI agents using ADK-TS. It had a $5,000 prize pool, 122 participants, and 50 project submissions across categories like Web3, Agent Apps, and MCP Expansion.\",\"timestamp\":\"2025-11-12T22:12:16.949Z\",\"category\":\"Wiki Update\",\"status\":{\"icon\":\"RiGlobalLine\",\"label\":\"Wiki Updated\",\"iconClassName\":\"text-green-500\"},\"user\":{\"name\":\"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889\",\"address\":\"0x1E23b34d3106F0C1c74D17f2Cd0F65cdb039b138\"},\"button\":{\"label\":\"View Summary\",\"icon\":\"RiFileTextLine\"},\"summarySections\":[{\"title\":\"Introduction\",\"subtitle\":\"Updated hackathon details including the hosting platform, dates, and prize pool.\",\"variant\":\"modified\",\"changeCount\":3,\"changes\":[\"Added that the competition was hosted on the DoraHacks platform.\",\"Changed the event dates from 'September to October 2025' to 'September 25 to October 23, 2025'.\",\"Updated the prize pool from $5,000 to '$4,000 paid in stablecoins'.\"]},{\"title\":\"Overview\",\"subtitle\":\"Revised key statistics and dates for the hackathon.\",\"variant\":\"modified\",\"changeCount\":5,\"changes\":[\"Updated the registration opening date from September 9 to September 25, 2025.\",\"Changed the submission deadline from October 7 to October 23, 2025.\",\"Modified the winner announcement date from October 22 to 'by October 30, 2025'.\",\"Updated the number of project submissions from 50 (with 34 qualifying) to 36.\",\"Changed the total prize money from $5,000 to $4,000.\"]},{\"title\":\"Tracks and Judging Criteria\",\"subtitle\":\"Restructured the tracks section to include main and bonus categories.\",\"variant\":\"modified\",\"changeCount\":3,\"changes\":[\"Clarified that the hackathon had 'three main tracks and five bonus tracks'.\",\"Split the 'Tracks' subsection into 'Main Tracks' and 'Bonus Tracks'.\",\"Added descriptions and prize amounts for both main and bonus tracks.\"]},{\"title\":\"Eligibility and Submission Requirements\",\"subtitle\":\"Added a new section detailing eligibility and submission rules.\",\"variant\":\"added\",\"changeCount\":1,\"changes\":[\"A new section 'Eligibility and Submission Requirements' was added, outlining participation rules and project submission criteria.\"]},{\"title\":\"Winners\",\"subtitle\":\"Updated the prize pool amount in the Winners section.\",\"variant\":\"modified\",\"changeCount\":2,\"changes\":[\"Changed the prize pool from $5,000 to $4,000.\",\"Updated the description of bonus winners from 'thirteen other projects' to 'several other projects'.\"]},{\"title\":\"Bonus Track Winners\",\"subtitle\":\"Updated the introductory text for the bonus track winners.\",\"variant\":\"modified\",\"changeCount\":1,\"changes\":[\"Changed the introductory sentence from 'Five other projects earned $200 each' to 'In the bonus categories, five projects earned $200 each'.\"]},{\"title\":\"Links\",\"subtitle\":\"Updated the external links, removing Twitter and adding GitHub and YouTube profiles.\",\"variant\":\"modified\",\"changeCount\":4,\"changes\":[\"Replaced the link 'https://iq.ai/' with 'https://adk.iqai.com/'.\",\"Removed the Twitter profile link.\",\"Added a GitHub profile link.\",\"Added a YouTube profile link.\"]},{\"title\":\"References\",\"subtitle\":\"Updated the list of references, adding one and removing another.\",\"variant\":\"modified\",\"changeCount\":2,\"changes\":[\"Removed reference for 'ADK-TS Hackathon 2025 Announcement'.\",\"Added reference for 'ADK-TS GitHub Repository'.\"]}]}]}"}