SECTION 1: APPLICANT INFORMATION
Applicant Name or Alias: Oberlin Stands
Project Name: Hyperobjective
Project Description:
Hyperobjective is an LLM router and infrastructure provider focused on building out an AI-powered interface for interacting with the GMX protocol, providing natural language processing capabilities to execute trades, manage positions, and analyze market data on GMX.
Hyperobjective Thesis
As DeFi platforms become more complex, there’s a growing need for intuitive interfaces that allow users to interact with protocols using natural language. By leveraging Large Language Models (LLMs), we can create a powerful tool that bridges the gap between human intent and on-chain actions on GMX, making it more accessible to a wider audience and potentially increasing protocol usage and liquidity.
Team Members and Qualifications:
Our team combines expertise in artificial intelligence, natural language processing, and blockchain development, with a focus on DeFi applications.
- Oberlin Stands - CEO & AI Architect (15+ years software engineering experience, previously co-founded AI healthcare and DeFi startups)
Project Links:
Contact Information:
- telegram: @oberlinstands
- mail: me@oberlinstands.com
SECTION 2: GRANT INFORMATION
Requested Grant Size:
Requested Grant Size: 75,000 $ARB
Grant Matching:
N/A
Grant Breakdown:
- 50% for AI model development and fine-tuning
- 30% for GMX protocol integration and tool development
- 15% for user acquisition and community building
- 5% for operational expenses
Funding Address:
0x8ff74073440eb16f00C8F3fbA1eD055Ba0a2760F
Funding Address Characteristics:
N/A
Distribution Contract Address:
N/A
Incentivised Contract Addresses:
N/A
SECTION 3: GRANT OBJECTIVES AND EXECUTION
Objectives:
- Develop an LLM-powered interface for interacting with GMX
- Create tools for natural language trade execution on GMX
- Build analytics capabilities for GMX market data using AI
- Increase GMX protocol usage through improved accessibility
Key Performance Indicators (KPIs):
- Launch beta version of GMX integration within 3 months
- Achieve 90% accuracy in trade execution intent recognition
- Onboard 1000 users within the first month of public launch
- Increase GMX trading volume by 10% through AI-assisted trades
Execution Strategy:
- Develop and fine-tune LLM for GMX-specific tasks
- Create API integrations with GMX protocol
- Build user interface for natural language interactions
- Implement security measures and conduct thorough testing
- Launch public beta and gather user feedback
- Iterate based on user input and usage data
Grant Timeline:
The project should take between one and three months to complete.
- Grant Approval - 10%
- Milestone 1: LLM Development and GMX Integration - 30%
- Milestone 2: User Interface and Beta Launch - 30%
- Milestone 3: Public Launch and User Acquisition - 30%
Fund Streaming:
Yes.
SECTION 4: PROTOCOL DETAILS
- What date did you start building on GMX? We began development in May 2023, focusing on understanding the GMX protocol and designing our LLM router architecture.
- Protocol performance We are currently in private alpha testing with a small group of users. Early results show a 95% success rate in accurately interpreting user intent.
- Protocol RoadmapFor more information please review our living roadmap document.
- Audit History (if any) As the product does not contain any contract code, an audit is no necessary at this time.
SECTION 5: Data and Reporting
- Is your team prepared to create Dune Spells and/or Dashboards for your project? Yes, we will create Dune dashboards to track user engagement and GMX protocol impact.
- Does your team agree to provide bi-weekly program updates on the GMX Forum thread? Yes, we commit to providing regular updates.
- Does your team acknowledge that failure to comply with any of the above requests can result in the halting of the program’s funding stream? Yes, we acknowledge and agree to these terms.