Users create tokens with built-in revenue-sharing capabilities. Using Token-2022 standard, RevShare tokens automatically collect transfer fees from every transaction and distribute them proportionally to all token holders

Users create tokens with built-in revenue-sharing capabilities. Using Token-2022 standard, RevShare tokens automatically collect transfer fees from every transaction and distribute them proportionally to all token holders
RevShare is a DeFi primitive that lets creators launch tokens with built-in revenue-sharing using Solana's Token-2022 standard. Transfer fees are collected automatically and streamed to holders proportionally, enabling sustainable tokenomics without custom hooks.
I implemented the on-chain program in Rust/Anchor with Token-2022 transfer-fee extensions, plus a REST/GraphQL backend for analytics and a React/TypeScript frontend. The protocol is covered by Jest/Mocha test suites exercising edge cases around fee rounding and holder distribution.
A modular architecture cleanly separating on-chain programs, low-latency data ingestion, and the user-facing app. On-chain code is written in Rust or Solidity with strict test coverage; off-chain services run on Node.js / Rust backends with Redis and PostgreSQL for hot and durable state respectively, containerized for reproducible deploys.
Programs are implemented in Rust with the Anchor framework on Solana, or in Solidity on EVM chains, with strict access control, exhaustive error handling, and gas / compute-unit optimization. Every state transition is covered by unit and integration tests before mainnet deployment.
Where the project is performance-sensitive, the hot path is optimized end-to-end: zero-copy parsing, connection pooling, Redis-backed caches, Jito / Nozomi inclusion for Solana, and careful batching for EVM. Monitoring and alerts cover latency, inclusion rate, and PnL so regressions surface immediately.