Revshare-DeFi/Tokenomics/Launchpad

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

Solana
DeFi
Smart Contracts
Revshare-DeFi/Tokenomics/Launchpad - Roswelly Rust / smart contract project screenshot
Status: Active

Project Overview

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.

Technical Implementation

Architecture

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.

Smart Contracts

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.

Performance & Reliability

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.

Technologies Used

Rust
Anchor
web3.js
Token-2022
Node.js
REST/GraphQL
Jest/Mocha
React
Typescript
MongoDB
TailwindCSS

Project Links