Applicant Name: Abhinav Singh
Project Name: Arbitrum Genie: Your personal AI and NLP powered Data Scientist
We are building Arbitrum Genie, an AI-powered real-time web3 analytics dApp specifically designed for the Arbitrum ecosystem. It will provide advanced analytics, predictive analysis, and natural language processing capabilities to empower users to make data-driven decisions, maximize their participation in the Arbitrum ecosystem, and enhance their overall experience. For eg: If you type “I want to know Arbitrum Depositors and Withdrawals per day” and click on enter. It will display a chart showing the requested data immediately
Team Members and Qualifications:
Co-founder & CEO
Abhay has a Bachelor of Engineering in Computer Science with 6 years of expertise in Ethereum development. A gold medalist in computer engineering, he brings over 14 years of startup experience across diverse domains, including business analytics. Abhay has previously been part of various multi-million ventures such as Fab, Hem, Moxie, etc
Co-founder & COO
Abhinav has BTech in Computer Engineering and is an experienced front-end engineer and UX leader, has excelled in leading teams at various levels. With expertise in utilizing no-code tools, he plays a pivotal role in simplifying analytics at DappLooker.
Abhinav has previously been part of Fortune 500 companies such as JP Morgan Chase, Globant, etc
Our team has 45+ years of combined experience. The DappLooker team is a group of talented individuals with diverse skills and expertise, all working collaboratively toward the success of Arbitrum Genie. The team includes experienced engineers, growth specialists, front-end and back-end developers, data analysts, and marketing professionals. Together, they bring a wealth of knowledge in blockchain technology, software development, user experience, and data analysis. Their collective efforts ensure the successful development, deployment, and adoption of Arbitrum Genie, empowering users within the Arbitrum ecosystem with powerful AI-driven analytics and insights.
Partner deck - DappLooker Partners Deck - Google Slides)
Github: DappLooker · GitHub
Do You Acknowledge That Your Team Will Be Subject to a KYC Requirement?: Yes
Detail the requested grant size, provide an overview of the budget breakdown, specify the funding and contract addresses, and describe any matching funds if relevant.
Requested Grant Size:
The breakdown of the grant request is as follows:
- Developing the Dapp using Langchain + OpenAI Integration and Llama 2 for Natural Language Queries (65%):
Expense: 65% of 24382.81 ARB tokens = 15848.3 ARB tokens
This substantial portion of the funds will primarily drive the core development of Arbitrum Genie.
It encompasses the seamless integration of Langchain and OpenAI with Llama 2 for natural language queries.
Additionally, we’ll focus on enhancing the user experience (UX) design, creating interactive prompts, and effectively visualizing data. Our iterative development approach will ensure the gradual evolution of the Minimum Viable Product (MVP).
Part of this allocation will also cover the hosting expenses for the Arbitrum Genie platform on https://arbgenie.com.
- Implement Indexer for Efficient Data Querying with NLP and AI Integration, along with Infrastructure Upgrade, Maintenance, and Support (35%):
A) Implement Indexer for Efficient Data Querying with NLP (15%): 15% of 24382.81 ARB tokens = 3657.3 ARB tokens
This allocation is dedicated to constructing a robust indexer module capable of transforming raw Arbitrum Network data into a format that facilitates sophisticated querying through NLP.
This feature will empower users with comprehensive analytics capabilities, driving informed decisions and insights from the network’s data.
B) Infrastructure Upgrade, Maintenance, Support, and Bug Fixes (10%): 10% of 24,382.81 ARB tokens = 2438.2 ARB tokens
A portion of the funds will be allocated to upgrading the platform’s infrastructure, enhancing its scalability, security, and reliability to accommodate an expanding user base.
Additionally, this allocation will cover ongoing maintenance, user technical support, and prompt resolution of any post-launch bugs or issues, ensuring a stable and satisfactory user experience.
C) Marketing & Operations (10%): 10% of 24,382 ARB tokens = 2438.2 ARB tokens
Effective marketing and operational strategies play a pivotal role in driving adoption and engagement within the Arbitrum ecosystem.
These funds will be directed towards various marketing activities, including documentation, social media promotion, blog posts, workshops, analytics bounty programs, and hackathons.
These initiatives will collectively attract new users, elevate awareness about Arbitrum Genie, and cultivate an active and vibrant user community.
Funding Address: 0x7239B1896ad2b6A9D3aA6C4B12D8993E78fb67Dc
Funding Address Characteristics:
It is a ⅔ multisig account on Arbitrum. The private keys are securely stored.
Contract Address: NA
Clearly outline the primary objectives of the project and the Key Performance Indicators (KPIs) used to measure success. This helps reviewers understand what the project aims to achieve and how progress will be assessed.
Develop an AI-Powered Analytics Dapp: The main goal is to build Arbitrum Genie, an AI-powered real-time web3 analytics decentralized application (dapp) tailored specifically for the Arbitrum ecosystem.
Empower Users with Data-Driven Decisions: Arbitrum Genie aims to empower users by providing advanced analytics, predictive analysis, and natural language processing capabilities.
Enhance User Experience: The project intends to improve user experience within the Arbitrum ecosystem by offering a user-friendly interface and no-code analytics. Users should be able to access insights and data visualizations effortlessly through natural language queries, eliminating the need for coding or SQL language skills.
Deliver Real-Time Web3 Analytics: Arbitrum Genie aims to provide real-time insights and data analysis, ensuring timely decision-making and the ability to monitor trends as they happen.
Promote Community Collaboration: Another objective is to foster collaboration with the Arbitrum developer community, creating a learning environment and enhancing the ecosystem.
Support Data-Driven Decision-Making: The grant intends to empower developers with valuable data insights, enabling them to make informed and data-driven decisions, ultimately contributing to the success and growth of the Arbitrum ecosystem.
These objectives collectively highlight the vision and purpose of the project in building a powerful analytics tool to support the Arbitrum community and ecosystem.
Key Performance Indicators (KPIs):
User engagement, platform usage, positive user feedback
Accuracy of AI-generated insights, user satisfaction with AI features
Data indexing efficiency, improved data query performance
User engagement in workshops and hackathons, social media engagement
How will receiving a grant enable you to foster growth or innovation within the Arbitrum ecosystem?
Receiving a grant for Arbitrum Genie will be a catalyst for growth and innovation within the Arbitrum ecosystem. Firstly, the grant will fuel the development of advanced analytics capabilities, including real-time analysis, predictive modeling, and natural language processing. These features will empower users to make data-driven decisions, spurring innovation by providing deeper insights into the ecosystem.
Secondly, the grant will be instrumental in enhancing the user experience of Arbitrum Genie, making it more accessible to a broader audience. An improved user interface and simplified data querying will attract a diverse user base, contributing to ecosystem growth.
These initiatives will raise awareness about Arbitrum Genie, attract new users, and ensure the platform’s reliability and scalability. As a result, the grant will foster an environment ripe for innovation, collaboration, and the development of new applications within the Arbitrum ecosystem.
Scope and Complexity of the Project: Arbitrum Genie is a comprehensive and ambitious project aimed at building an AI-powered real-time web3 analytics dapp tailored specifically for the Arbitrum ecosystem.
The project involves intricate technical components, including the integration of Langchain, OpenAI, and Llama 2 for natural language queries. Developing such a sophisticated platform with advanced analytics capabilities and a user-friendly interface requires a significant investment in terms of development, infrastructure, and support.
User-Centric Design: A significant portion of the grant is allocated to enhancing the user experience (UX). This user-centric approach is crucial for ensuring the platform’s accessibility and usability, which in turn can drive user adoption and growth within the Arbitrum ecosystem.
Infrastructure Upgrades and Maintenance: We need to do infrastructure upgrades, maintenance, and support. These aspects are vital for the long-term sustainability and scalability of the platform. Ensuring that the platform remains secure, reliable, and efficient requires ongoing investment.
Marketing and Community Building: A portion of the grant is allocated to marketing and community-building activities. Effective marketing is essential for attracting users and fostering a vibrant user community. These activities will contribute to the growth of the Arbitrum ecosystem as more users engage with Arbitrum Genie.
Iterative Development: The project adopts an iterative development approach, which means it will evolve over time based on user feedback and changing requirements. This approach is valuable for ensuring that the platform remains relevant and valuable to users but also necessitates ongoing funding.
In conclusion, the size of the grant aligns with the scope, complexity, and innovative nature of the Arbitrum Genie project. It encompasses various aspects, including development, user experience, infrastructure, support, marketing, and community-building, all of which are essential for fostering growth and innovation within the Arbitrum ecosystem.
Developing the dapp using Langchain + OpenAI Integration and Llama 2 for Natural Language Queries
Work on UX, Prompts Creation, Visualization, and eventually the MVP
Host it on https://arbgenie.com
KPIs: User engagement, platform usage, positive user feedback
Milestone 2:Implement indexer to index Arbitrum Network data in format easily queryable using NLP along with AI Integration and maintenance
Implement transformations to Index Arbitrum project data in an easily queryable format.
KPIs: Data indexing efficiency, data query performance
Measurement: Speed of data indexing, user satisfaction with query results
Integrate AI-powered features into Arbitrum Genie
Test and optimize AI models for accuracy and reliability
KPIs: Accuracy of AI-generated insights, user satisfaction with AI features
Measurement: User feedback on AI-generated insights, accuracy testing results
Marketing & Operations
Grant Timeline: 7 Weeks
Do you accept the funding of your grant streamed linearly for the duration of your grant proposal, and that the multisig holds the power to halt your stream?
Provide details about the Arbitrum protocol requirements relevant to the grant. This information ensures that the applicant is aligned with the technical specifications and commitments of the grant.
Is the Protocol Native to Arbitrum?: Yes.
We are building Arbitrum Genie, an AI-powered real-time web3 analytics dapp specifically designed for the Arbitrum ecosystem. It will provide advanced analytics, predictive analysis, and natural language processing capabilities to empower users to make data-driven decisions, maximize their participation in the Arbitrum ecosystem, and enhance their overall experience.
On what other networks is the protocol deployed?:
Yes. DappLooker is already integrated with below chains/networks
What date did you deploy on Arbitrum?: [Date of deployment]
16 July 2023
Protocol Performance: [Detail the past performance of the protocol and relevance, including any key metrics or achievements, dashboards, etc.]
- DAU - 400 - 500
- MAU - 20000 - 25000
- Monthly Views/Impressions - 45k - 50k
- Networks Integrated - 15+Roadmap
- Dapps Onboarded - 330+
- Dashboards - 380+
- Analysis- 3100+
- Impressions/Views - 2.6M+
- Users Data - 250M+
- Real-time Web3 Analytics:
The roadmap includes the integration of Firehose and substream technology, which is expected to increase indexing speed significantly, by 50x to 100x.
This enhancement will enable users to access real-time data and insights, which is crucial for timely decision-making within the Arbitrum ecosystem.
- Onboarding of New DApps:
Arbitrum Genie plans to onboard new dApps on its platform. This expansion will make it a comprehensive analytics hub for the Arbitrum ecosystem.
Users will be able to search for analytics related to various dApps, providing them with a holistic view of the ecosystem’s performance and activity.
- Improving Personal NLP Data Assistant, AI-Powered Real-time Analytics, and Automated Dashboards:
The roadmap includes enhancements to the project’s Natural Language Processing (NLP) Data Assistant, offering users more intuitive query options and an improved experience.
Additionally, it focuses on providing AI-powered real-time analytics for more advanced data insights and predictions, all while implementing automated dashboards for easier data visualization and interpretation.
Provide details on how your team is equipped to provide data and reporting on grant distribution.
Is your team prepared to create Dune Dashboards for your incentive program?: NO
Does your team agree to provide bi-weekly program updates on the Arbitrum Forum thread? Yes
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?: Y