repVerse
Work On-Chain. Earn Off-Limits.
The problem repVerse solves
Problems with Traditional Freelancing Platforms
- High fees (up to 30%), slow payments, and rigid milestones
- Centralized control—accounts/funds can be frozen
- Biased, opaque dispute resolution
- Reputation is locked within platforms and not portable
How RepVerse Solves This
- 0% Fees with smart contract–based escrow for secure, peer-to-peer payments
- Staking model where both parties commit funds—bad actors lose their stake, ensuring trust
- AI-driven QA and dispute resolution using Gemini agents for auditable, bias-free decisions
- On-chain reputation via $REP token, earned through verified work
- Logarithmic bonding curve makes REP scarce, rewarding early, high-quality contributions
- MongoDB stores off-chain gig updates, agent rationales, and dynamic metadata for fast access without bloating the chain
- Milestone-based payouts automate delivery-linked payments
- Censorship-resistant and permissionless—no central authority can ban or censor users
In short: RepVerse replaces centralized freelancing with a trustless, AI-governed, escrow-secured ecosystem designed for fairness, speed, and transparency.
Challenges we ran into
One of the main challenges we ran into was designing the tokenomics for the REP token. We implemented it as a logarithmic bonding curve–based ERC20 token, which introduced both mathematical and technical complexity. The REP token needed to directly interact with an ERC721 contract, meaning the ERC721 contract had to import and utilize the REP token’s logic. This bi-directional coupling made smart contract design and dependency management tricky, especially ensuring that the ERC721 contract could query and affect token state without creating circular dependencies or excessive gas costs. Additionally, testing and simulating the bonding curve behavior under various edge cases required careful calibration to avoid vulnerabilities or economic exploits.
Tracks Applied (2)
Best use of Gemini API
Major League Hacking
Best Use of MongoDB Atlas
Major League Hacking

