Arbitrum Questbook - CB grant 2
Q: Details
A: Through working closely with our users, we've identified a critical challenge teams face around answering:
- how much should someone be paid,
- what’s their roles and responsibilities.
Defining a clear agreement with an organization is difficult and yet crucial to fair and effective compensation. Collabberry currently brings contributor agreements onchain and enables decentralized compensation based on those agreements and 360° reviews. By leveraging the wisdom of the crowd, we generate compensation packages that reflect the actual value delivered. The next step in our product evolution is developing an AI-powered Agreements Agent—a module that helps contributors and organizations define clear, fair agreements from the outset. This feature expands our existing tool and addresses a major friction point in early-stage collaboration. The core product is already in use, and this next step will help address the biggest remaining barrier for adoption.
Collabberry's MVP has been built with funding from Arbitrum Questbook grant 2.0.
Q: Links
A:
Website. https://collabberry.xyz
Instagram.
Discord. @migrenaa
Q: Team experience and completeness.
Milena Monova (migrenaa) - Project Lead at Collabberry. Bsc. Computer Science. Previously CTO and cofounder of Aut Labs - DAO tooling product for onboarding and governance. Over 8 years of development and team leading experience in both web2 and web3.
Github: https://github.com/migrenaa
Cansy - UI/UX designer with over 15 years of experience in graphic and web design, committed on creating intuitive and visually compelling user experiences. He is passionate about emerging technologies like Web3 and AI and explores how those can be utilized in new ways. Currently, he is focused on practicing customer development to enhance the value of the products he designs.
Nickolay Andonov - For the past 15 years Nickolay has co-founded or been part of innovative companies (both bootstrapped and VC-funded), lead teams on daring missions (from 5 to 30 people in size), built diverse products and services from the ground up (both B2B and B2C, and co-developed the local startup ecosystem in its early days. During this time he specialized in product management, leadership, culture building, business strategy, sales, and operations.
Iulia - frontend developer with over 5 years of experience, including 2 years in web3. She has a strong background in web design, copywriting, and frontend development. Iulia is passionate about creating accessible and user-friendly web3 applications, helping to lower the barrier for newcomers to the space.
Gustavo - MBA, and Telecommunications Engineer with a focus on Social Impact and Decentralized Governance. Since 2018, Gustavo has worked on blockchain initiatives like Traditional Dream Factory, MetaPool, and GravityDAO, and founded Coh3rence.org to build cultural frameworks for Regenerative Governance. He has contributed to DAOs such as Aragon, Giveth, and Metagame, and continues to drive collaboration and community empowerment in web3.
Daniel Ospina (advisor) - Instigator at RnDAO and CoLead at TogetherCrew. Previously, Head of Governance at Aragon, 8 years experience in Organization Design consulting (clients include Google, BCG, Daymler, The UN, and multiple startups), founded two startups, and served as visiting lecturer at Oxford University.
Twitter: https://twitter.com/_Daniel_Ospina
LinkedIn: https://www.linkedin.com/in/conductal/
Q: What innovation or value will your project bring to Arbitrum? What previously unaddressed problems is it solving? Is the project introducing genuinely new mechanisms.
The problem we’re solving:
In both Web3 and Web2, early-stage teams and DAOs often launch with high energy but little structure. Roles, responsibilities, compensation, and ownership are rarely formalized—leading to misalignment, contributor churn, and disputes around value and equity. These issues are especially acute in bootstrapped, fast-moving environments where traditional HR and legal tools are missing or insufficient.
Our innovation:
Collabberry introduces a new coordination layer for early-stage collaboration:
• Onchain contributor agreements as interoperable primitives—enabling fair compensation, governance, and future token distributions based on transparent terms.
• AI-assisted agreement definition, guiding teams in creating structured, context-aware agreements without needing legal or HR expertise.
• 360° feedback and contribution tracking, surfacing real value delivered through peer review and contributor insights.
• Onchain compensation flows powered by ERC-20 Tokens, enabling organizations to distribute value credibly and transparently, creating trust.
• Sweat equity tokenization, aligning incentives from the start and helping retain talent through shared upside.
By making ownership, contribution, and compensation verifiable and transparent from day one, Collabberry gives early teams the infrastructure they need to build trust and stay aligned—without relying on top-down structures or vague promises.
Q: What is the current stage of your project.
A: We've already launched our beta on Arbitrum Mainnet.
Q: Do you have a target audience? If so, which one.
A: Early stage DAOs and projects, startup founders
Q: Do you know about any comparable protocol, event, game, tool or project within the Arbitrum ecosystem.
A: No
Q: Have you received a grant from the DAO, Foundation, or any Arbitrum ecosystem related program or conducted any IRL like a hackathon or workshop.
A: yes, we've received a grant from Arbitrum Questbook 2.0. https://questbook.app/dashboard/?chainId=10&proposalId=663e1722581981d4ee8663fc&isRenderingProposalBody=true&grantId=662f31c25488d5000f055a54
Q: What is the idea/project for which you are applying for a grant.
A: AI Agent for Agreements is a smart assistant that helps teams define clear, fair collaboration agreements when forming or joining an organization. It guides users through key aspects like roles, responsibilities, market rates, commitment levels, and minimum fiat compensation—often difficult topics for early-stage teams. The AI uses context-aware suggestions and templates to reduce ambiguity, speed up decision-making, and align expectations from the start, making ownership and contribution tracking easier and more transparent.
Q: Outline the major deliverables you will obtain with this grant.
A: With this grant, we will deliver a standalone AI-powered Agreements Agent—a tool designed to help early-stage teams and DAOs define fair, transparent contributor agreements from the outset. While it integrates seamlessly with Collabberry, this module is being developed as a flexible and independent product that can be used on its own or embedded into other workflows and platforms.
The key deliverables include:
- Prototype of the AI-Powered Agreements Agent
Development of an MVP chatbot trained on open datasets of market rates, responsibilities, and common role definitions to guide contributors and teams in co-creating clear agreements.
Deliverable: Functional, standalone prototype tested with real users.
- Training and Fine-Tuning the AI Agent
Refine the AI model using feedback from user testing to improve contextual accuracy and relevance across various team setups and contributor types.
Deliverable: Fine-tuned AI agent ready for broader adoption.
- Frontend Interface for Agreement Creation
A user-friendly, embeddable UI that allows individuals or teams to interact with the AI and define contributor agreements—even without using the core Collabberry platform.
Deliverable: Polished web-based interface usable as a standalone tool.
- Contributor Agreements Smart Contract (Optional Integration)
Smart contract primitive to store contributor agreements onchain for verifiability, enabling optional integration into decentralized workflows like governance, compensation, and token-based recognition.
Deliverable: Smart contract deployed and available for teams that want onchain records.
- Product Testing and QA
Full testing cycle across UX, AI outputs, and smart contract logic to ensure a smooth, secure, and accurate user experience.
Deliverable: Fully tested product, ready for launch.
- Public Alpha Launch + Ecosystem Outreach
Launch of the Agreements Agent as a standalone web tool, with outreach to DAOs, Web3 founders, and early-stage teams to drive adoption and feedback.
Deliverable: Public Alpha available, with early users onboarded and active outreach underway.
Q: Please explain how your idea/project aligns with the Arbitrum ecosystem goals.
A: Arbitrum ecosystem is already benefiting from Collabberry. We have just above 100 users in our beta, and 30+ orgs, each tracking their sweat equity using TP smart contract on Arbitrum.
Building the AI Agent for agreements setup, will unlock new users, and also will bring all the contributor to organization agreements onchain on Arbitrum, increasing Arbitrum's revenue.
Q: What is your requested grant.
A: 25000
Q: Please provide a detailed breakdown of the budget in term of utilizations, costs and other relevant information.
A: Here's the financial breakdown.
Since we ourselves use Collabberry in the team we're self-funding 15 000USD, with our own sweat equity.
https://docs.google.com/spreadsheets/d/14RHMmUWKuXI3CaZ_Y2NWYrlQjz6yUSy4ta682dQ9Doc/edit?usp=sharing
Q: Provide a list of the milestones, with the USD amount of the grant associated to it, the deliverables that will be provided, and the estimated completion time.
- Prototype the agreements AI Agent and Test with users
- Fine tune and train the AI Agent
- UI for the AI Agent
- Agreements smart contract
- Testing phase
- Launch alpha
Q: Are milestones clearly defined, time-bound, and measurable with quantitative metrics where applicable? What are your reference KPI, if applicable, for each milestone.1743621293
Milestone 1: Prototype the Agreements AI Agent and Test with Users
Description: Develop a prototype of the AI Agent as a chatbot, trained on open datasets of market rates. Conduct user testing with current users and outreach to early adopters.
Timeline: 1 month
Deliverable: Working prototype of AI Agent chatbot, user testing feedback from at least 10 users.
Milestone 2: Fine-tune and Train the AI Agent
Description: Finetune the model based on testing feedback, develop the full AI Agent, and build the frontend interface for users to define contributor agreements.
Timeline: 1 month
Deliverable: Fully trained AI Agent integrated with backend logic, validated through user feedback iterations.
Milestone 3: UI for the AI Agent
Description: Build the frontend interface for users to define contributor agreements using the AI Agent.
Timeline: 2 weeks
Deliverable: Responsive UI connected to AI Agent with forms for role, responsibility, commitment, and compensation definition.
Milestone 4: Agreements Smart Contract
Description: Define and implement an onchain primitive to represent contributor agreements and integrate with the UI.
Timeline: 1 month
Deliverable: Smart contract deployed to Arbitrum representing contributor agreements; integrated UI interaction for agreement creation.
Milestone 5: Testing Phase
Description: Conduct usability testing and quality assurance for both the UI and backend logic.
Timeline: 2 weeks
Deliverable: Testing report with at least 15 test cases covered; resolved issues and improvement log.
Milestone 6: Launch Alpha
Description: Launch the Collabberry AI Agent application publicly, and run a marketing campaign to gain visibility in the Arbitrum and DAO ecosystems.
Timeline: 2 weeks
Deliverable: Public alpha launch, campaign analytics (reach, engagement), and onboarding of at least 3 DAOs or teams.
Q: What is the estimated maximum time for the completion of the project.
A: 6 months
Q: How should the Arbitrum community measure the success of this grant.
Onchain Usage & Adoption
- Number of contributor agreements created on Arbitrum
- Unique users interacting with the smart contracts
- Volume of transactions tied to agreements
User & Community Engagement
- Number of DAOs or teams actively using the AI Agent
- Feedback collected from user testing
- Retention: repeat usage or multiple agreements by the same org
Technical Deliverables
- Timely delivery of milestones with working demos
- Open-source availability of smart contracts and AI code
Q: What is the economic plan for maintaining operations or continuing the growth of your project after the grant period.1743621293
A: Collabberry is currently bootstrapped, and our long-term sustainability plan is based on generating revenue by charging users. We will offer a usage-based pricing model for organizations.
The grant will help us accelerate development and adoption, but our primary focus is on building a product that provides clear value and can sustain itself through paid usage. As traction grows, we also plan to explore partnerships and potentially raise additional funding to scale impact.
Q: Protocol Performance.
A: Collabberry launched its Beta on February 1st, 2025, and in just 2 months, we’ve seen strong early adoption and engagement across the ecosystem. The platform is already being used by teams to define agreements, run compensation cycles, and assess contributions—validating the demand for better tools around fair, transparent collaboration.
Key Achievements (Feb–Mar 2025):
• ✅ 32 organizations onboarded
• ✅ 32 Sweat Equity contracts deployed onchain
• ✅ 100+ unique users
• ✅ 52 contribution rounds completed
• ✅ 6 active contributors
Q: Audit History & Security Vendors.
A: We haven't been audited yet.
Q: Is your project composable with other projects on Arbitrum.
- Any Arbitrum project can use and integrate the AI Agent for salary definition
- Agreements are built as a primitive and can be integrated in other Governance or Accounting solutions
- Sweat Equity token is designed as a modified ERC20 so that it can easily be integrated into any application that supports the interface
Q: Is the proposal scope realistic and well-defined given the team, resources, and deliverables.
A: Yes, the team has defined it in alignment.