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Flow-Fi
Flow-Fi
Flow-Fi
Flow-Fi
Flow-Fi automates DeFi liquidity management with AI-driven rebalancing for optimal capital allocation.
Flow-Fi automates DeFi liquidity management with AI-driven rebalancing for optimal capital allocation.
Flow-Fi automates DeFi liquidity management with AI-driven rebalancing for optimal capital allocation.
Flow-Fi automates DeFi liquidity management with AI-driven rebalancing for optimal capital allocation.
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Tools
Figma, FigJam, Illustrator, Github, v0, Cursor
Tools
Figma, FigJam, Illustrator, Github, v0, Cursor
Timeline
48 Hour Hackathon
Timeline
48 Hour Hackathon
Role
UI/UX Designer, UX Researcher
Role
UI/UX Designer, UX Researcher
Tools
Figma, FigJam, Illustrator, Github, v0, Cursor
Tools
Figma, FigJam, Illustrator, Github, v0, Cursor
Tools
Figma, FigJam, Illustrator, Github, v0, Cursor
Timeline
48 Hour Hackathon
Timeline
48 Hour Hackathon
Timeline
48 Hour Hackathon
Role
UI/UX Designer, UX Researcher
DeFi users struggle with complex platforms and manual capital management, leading to costly mistakes and missed opportunities, highlighting the need for an automated, user-friendly solution.
DeFi users struggle with complex platforms and manual capital management, leading to costly mistakes and missed opportunities, highlighting the need for an automated, user-friendly solution.
DeFi users struggle with complex platforms and manual capital management, leading to costly mistakes and missed opportunities, highlighting the need for an automated, user-friendly solution.
DeFi users struggle with complex platforms and manual capital management, leading to costly mistakes and missed opportunities, highlighting the need for an automated, user-friendly solution.
Problem
Problem
Problem
32% of non-investors site a lack of understanding as a reason to not invest.
32% of non-investors site a lack of understanding as a reason to not invest.
32% of non-investors site a lack of understanding as a reason to not invest.
52% of respondents indicated that not knowing where to start is a primary obstacle to entering the crypto ecosystem.
52% of respondents indicated that not knowing where to start is a primary obstacle to entering the crypto ecosystem.
60% of people have trouble understanding cryptocurrencies well enough
60% of people have trouble understanding cryptocurrencies well enough
60% of people have trouble understanding cryptocurrencies well enough
Role
UI/UX Designer, UX Researcher
Role
UI/UX Designer, UX Researcher
Role
UI/UX Designer, UX Researcher
Role
UI/UX Designer, UX Researcher
44% of event planners have lost interest in a venue due to poor communication during the selection process.
NYC has over 25,000 restaurants, making it difficult to narrow down the right venue for a party.
Hiring a professional event planner in NYC costs between $2500 and $10,000, inaccessible for smaller events.
Hiring a professional event planner in NYC costs between $2500 and $10,000, inaccessible for smaller events.
How can we automate DeFi liquidity management to eliminate the need for manual rebalancing while maximizing capital efficiency?
How can we automate DeFi liquidity management to eliminate the need for manual rebalancing while maximizing capital efficiency?
How can we automate DeFi liquidity management to eliminate the need for manual rebalancing while maximizing capital efficiency?
How can we automate DeFi liquidity management to eliminate the need for manual rebalancing while maximizing capital efficiency?
Central Question
Central Question
Central Question
Flow-Fi automates DeFi liquidity management with AI-driven rebalancing, optimizing capital allocation without manual effort by providing real-time insights and simplifying complex strategies.
Flow-Fi automates DeFi liquidity management with AI-driven rebalancing, optimizing capital allocation without manual effort by providing real-time insights and simplifying complex strategies.
Flow-Fi automates DeFi liquidity management with AI-driven rebalancing, optimizing capital allocation without manual effort by providing real-time insights and simplifying complex strategies.
Flow-Fi automates DeFi liquidity management with AI-driven rebalancing, optimizing capital allocation without manual effort by providing real-time insights and simplifying complex strategies.
Solution
Solution
Solution
Flow-Fi automates DeFi liquidity management with ORA’s AI Agent, optimizing capital allocation without manual intervention. By eliminating the need to track multiple pools or make split-second adjustments, Flow-Fi lets users focus on strategy rather than micromanagement. Beyond automation, it provides real-time insights and educational tools, empowering both experienced investors and newcomers to make informed decisions with confidence.
Bridging inspiration and execution, Gatherly addresses key challenges like fragmented coordination, limited aesthetic filtering, and inefficient booking processes, Gatherly empowers users to discover, save, and connect with event spaces and service providers that match their vision.
Bridging inspiration and execution, Gatherly addresses key challenges like fragmented coordination, limited aesthetic filtering, and inefficient booking processes, Gatherly empowers users to discover, save, and connect with event spaces and service providers that match their vision.
User Flow
We created a user flow to map out the end-to-end experience, identify pain points in manual liquidity management, and ensure Flow-Fi provides a seamless, intuitive solution for users.
User Flow
We created a user flow to map out the end-to-end experience, identify pain points in manual liquidity management, and ensure Flow-Fi provides a seamless, intuitive solution for users.
User Flow
We created a user flow to map out the end-to-end experience, identify pain points in manual liquidity management, and ensure Flow-Fi provides a seamless, intuitive solution for users.
User Flow
We created a user flow to map out the end-to-end experience, identify pain points in manual liquidity management, and ensure Flow-Fi provides a seamless, intuitive solution for users.
Competitive Analysis
To gain a clearer understanding of existing platforms and their key features, I conducted a competitive swot analysis on four different platforms.
We designed the wireframe to establish the core layout, navigation, and interaction patterns for Flow-Fi, iterating from low-fidelity to high-fidelity versions to refine usability, streamline liquidity management processes, and ensure an intuitive user experience.
We designed the wireframe to establish the core layout, navigation, and interaction patterns for Flow-Fi, iterating from low-fidelity to high-fidelity versions to refine usability, streamline liquidity management processes, and ensure an intuitive user experience.
We designed the wireframe to establish the core layout, navigation, and interaction patterns for Flow-Fi, iterating from low-fidelity to high-fidelity versions to refine usability, streamline liquidity management processes, and ensure an intuitive user experience.
We designed the wireframe to establish the core layout, navigation, and interaction patterns for Flow-Fi, iterating from low-fidelity to high-fidelity versions to refine usability, streamline liquidity management processes, and ensure an intuitive user experience.
Wireframe
Wireframe
Wireframe
Prototype
Prototype
Prototype
Conclusion
Key Challenges
Took time to grasp how DeFi, crypto, and liquidation pools work, making implementation harder. This is why we spent time researching and simplifying key concepts for our use case.
Tried using ORA’s Onchain Perpetual Agent Kit but couldn’t get an API key. This is why we pivoted to fetching market data from CoinGecko, Alchemy, and DeFi Llama APIs.
Needed a way to analyze liquidity data. This is why we sent the fetched data to Claude AI to generate user-friendly recommendations.
Limited time meant we couldn’t build everything. This is why we scoped down the project to focus on core functionality.
Struggled with structuring the navbar and liquidation pool data. This is why we simplified the navigation to focus on essential features.
What’s Next?
Implement deeper liquidity optimization using real-time data analysis.
Integrate automation tools to reduce manual asset movement for traders.
Explore more reliable API solutions for seamless data fetching.
Improve the UI/UX for clearer insights into liquidation pools.
Expand AI-driven recommendations for better decision-making.
Conclusion
Key Challenges
Took time to grasp how DeFi, crypto, and liquidation pools work, making implementation harder. This is why we spent time researching and simplifying key concepts for our use case.
Tried using ORA’s Onchain Perpetual Agent Kit but couldn’t get an API key. This is why we pivoted to fetching market data from CoinGecko, Alchemy, and DeFi Llama APIs.
Needed a way to analyze liquidity data. This is why we sent the fetched data to Claude AI to generate user-friendly recommendations.
Limited time meant we couldn’t build everything. This is why we scoped down the project to focus on core functionality.
Struggled with structuring the navbar and liquidation pool data. This is why we simplified the navigation to focus on essential features.
What’s Next?
Implement deeper liquidity optimization using real-time data analysis.
Integrate automation tools to reduce manual asset movement for traders.
Explore more reliable API solutions for seamless data fetching.
Improve the UI/UX for clearer insights into liquidation pools.
Expand AI-driven recommendations for better decision-making.
Conclusion
Key Challenges
Took time to grasp how DeFi, crypto, and liquidation pools work, making implementation harder. This is why we spent time researching and simplifying key concepts for our use case.
Tried using ORA’s Onchain Perpetual Agent Kit but couldn’t get an API key. This is why we pivoted to fetching market data from CoinGecko, Alchemy, and DeFi Llama APIs.
Needed a way to analyze liquidity data. This is why we sent the fetched data to Claude AI to generate user-friendly recommendations.
Limited time meant we couldn’t build everything. This is why we scoped down the project to focus on core functionality.
Struggled with structuring the navbar and liquidation pool data. This is why we simplified the navigation to focus on essential features.
What’s Next?
Implement deeper liquidity optimization using real-time data analysis.
Integrate automation tools to reduce manual asset movement for traders.
Explore more reliable API solutions for seamless data fetching.
Improve the UI/UX for clearer insights into liquidation pools.
Expand AI-driven recommendations for better decision-making.
Conclusion
Key Challenges
Took time to grasp how DeFi, crypto, and liquidation pools work, making implementation harder. This is why we spent time researching and simplifying key concepts for our use case.
Tried using ORA’s Onchain Perpetual Agent Kit but couldn’t get an API key. This is why we pivoted to fetching market data from CoinGecko, Alchemy, and DeFi Llama APIs.
Needed a way to analyze liquidity data. This is why we sent the fetched data to Claude AI to generate user-friendly recommendations.
Limited time meant we couldn’t build everything. This is why we scoped down the project to focus on core functionality.
Struggled with structuring the navbar and liquidation pool data. This is why we simplified the navigation to focus on essential features.
What’s Next?
Implement deeper liquidity optimization using real-time data analysis.
Integrate automation tools to reduce manual asset movement for traders.
Explore more reliable API solutions for seamless data fetching.
Improve the UI/UX for clearer insights into liquidation pools.
Expand AI-driven recommendations for better decision-making.
see also
see also
see also
see also
