Revenue Models
Last updated
Last updated
The revolutionary aspect of OpenSource is enabling project owners to automatically pay contributors. Similar to GitHub Sponsors, Gitcoin, and IssueHunt, but fully automated through smart contracts.
How Automated Payments Work:
Project owners fund a repository treasury with $OS tokens. They set payment rules - for example, $200 for bug fixes, $800 for features, $100 for documentation. When pull requests are merged, smart contracts automatically transfer payments to contributors.
Real-World Examples:
GitHub Sponsors: Manual monthly payments to maintainers
Gitcoin Grants: Quadratic funding rounds for public goods
IssueHunt: Bounties attached to GitHub issues
Open Collective: Transparent funding for projects
OpenSource improves on these models by making everything automatic and on-chain. No invoices, no payment delays, no platform fees - just instant value transfer when code is merged.
OpenSource provides enterprise-grade cloud infrastructure optimized for Web3 development. Our services go beyond basic hosting to offer blockchain-native solutions that traditional providers cannot match.
Core Infrastructure Offerings:
Decentralized Hosting: Deploy directly from repos to global edge network
Arweave Gateways: High-speed access to permanent storage
Blockchain Nodes: Managed Ethereum, Polygon, BSC nodes
CI/CD Pipelines: Automated testing and deployment
Our infrastructure is designed specifically for blockchain applications. Built-in Web3 libraries, automatic gas management, and native smart contract integration make deployment seamless. Everything is payable in $OS tokens with consumption-based pricing.
GPU clusters for AI/ML training
Distributed compute for large-scale processing
CDN with global edge locations
Database solutions with blockchain anchoring
Real-time monitoring and analytics
Blockchain Systems: Ethereum clients, Layer 2 protocols, and DeFi applications can ensure continuous development. Contributors know their improvements will be compensated fairly, attracting top talent to critical infrastructure.
Security Tools: Projects like OpenSSL or fail2ban that everyone depends on but nobody funds can finally achieve sustainability. Security researchers get paid for finding vulnerabilities and implementing fixes.
Open Source LLMs: AI development becomes truly open when contributors are compensated. Projects building alternatives to GPT or Claude can incentivize model improvements, dataset creation, and fine-tuning work.
Scientific Computing: NumPy, SciPy, and Jupyter contributors can earn from their expertise. Researchers adding algorithms or optimizations receive automatic compensation proportional to impact.