GEM
Gems is a decentralized live-streaming platform that enables creators to build their own micro-economies through tokenized communities, NFTs, and real-time engagement.
Videos




Tech Stack
Description
Traditional streaming platforms suffer from several issues:
1. Platform capture
Creators lose up to 50% of revenue to centralized platforms.
2. Lack of ownership
Fans and creators do not own their communities or digital assets.
3. Poor monetization tools
Most platforms only provide subscriptions and tips.
4. Weak discovery
Small creators struggle to gain visibility.
5. Lack of trustless moderation aGems is a decentralized live-streaming platform that enables creators to build their own micro-economies through tokenized communities, NFTs, and real-time engagement.
By integrating with 0G AI infrastructure, Gems introduces AI-powered moderation, recommendation, and creator monetization tools while maintaining censorship-resistant, multichain payments.
The platform allows creators to livestream, monetize through tokens, NFTs, and engagement mining, while fans earn reputation and rewards for participation.
Content moderation systems are opaque and centralized.
4. Solution
Gems creates a multichain live creator economy where:
Creators launch tokenized communities
Fans earn reputation and rewards for engagement
Streaming interactions generate on-chain value
AI improves discovery and moderation
Assets remain portable across chains
Key features:
Live Streaming
Real-time creator streams with fan interaction.
Creator Tokens
Fans can hold tokens tied to creator communities.
NFT Access
NFTs unlock perks such as backstage access and private streams.
Engagement Mining
Fans earn rewards for watch time, chat participation, and tips.
AI Discovery Engine
0G AI models recommend streams and detect spam or abuse.
Progress During Hackathon
Why 0G AI
Using 0G AI, Gems can:
Store and serve AI models in a decentralized way
Run inference for recommendation systems
Provide scalable decentralized compute for AI moderation
Enable creators to train community-specific models
Example integrations:
AI moderation
Real-time detection of spam, scams, and harmful content.
Creator assistants
AI that helps creators generate clips, highlights, and summaries.
Personalized discovery
Fans get recommendations based on watch history and community overlap.
6. Technical Architecture
Frontend
Next.js
Web3 wallet integration
Live streaming UI
Smart Contracts
Creator token contracts
NFT access passes
Engagement reward distribution
Multichain Layer
Supports networks such as:
Base
Ethereum
Layer 2 ecosystems
AI Layer (0G)
0G components used:
0G Storage
Store models and stream metadata.
0G Compute
Run inference for recommendations and moderation.
0G Data Availability
Ensure scalable content indexing.
7. Key Innovation
Gems introduces a “Live Creator Economy Layer.”
Instead of passive streaming:
Fans become economic participants.
Actions like:
watching streams
chatting
tipping
publishing clips
generate on-chain rewards and reputation.
This creates community-owned streaming economies.
8. Demo Plan
During the hackathon demo we will show:
Creator starting a livestream
Fans joining the stream
Fans tipping with creator tokens
Engagement mining generating rewards
AI automatically generating stream clips
AI recommending streams to viewers
Fundraising Status
Kompletly self fundet so far.