Blockchain Automation Tools
Blockchain Development

Blockchain Automation Tools

Automated On-chain Operations & Monitoring

GitHub
Python Node.js Docker Web3.js Telegram Bot

Problem

Running airdrop-farming campaigns, tracking wallet P&L, and responding to on-chain events across Ethereum, L2s, and Solana required stitching together ad-hoc scripts and manual dashboards. Multi-chain operations at scale meant repeated context switches, missed timing windows on governance votes and token claims, and no unified visibility into wallet state or gas conditions.

Approach

  • Per-function tool modules rather than a monolith: separate services for transaction execution, portfolio aggregation, alerting, and airdrop workflows.
  • Python for on-chain scripting (web3.py, asyncio) and Node.js for ethers.js-heavy execution paths — each language used where its ecosystem is strongest.
  • Telegram as the alert surface since it handles cross-device push without infrastructure overhead.
  • Randomized transaction patterns (timing, amount, path) for airdrop workflows to avoid the heuristics farming-detection systems flag.
  • Docker + PM2 + cron for process supervision, keeping long-running listeners and scheduled jobs independently recoverable.

Implementation

Multi-chain Transaction Automation

Batch transaction executors for Ethereum, Arbitrum, Optimism, and Solana with EIP-1559 gas optimization. Scheduling layer for time-sensitive operations (token claims, governance votes) so critical windows are not missed.

Wallet Portfolio Manager

Multi-wallet balance aggregator across EVM and Solana. DeFi position tracker pulling lending and liquidity protocol state. P&L calculation with historical price lookups for accurate cost-basis reporting.

Alert & Notification System

Telegram bot for real-time wallet activity and price alerts. Smart contract event listeners for protocol-specific triggers. Configurable threshold alerts for gas prices and token prices.

Airdrop Workflow Engine

Task orchestration framework covering multi-step qualification criteria. Transaction randomization across timing, amounts, and routing paths to produce organic-looking activity. Per-wallet progress tracking and completion scoring.

Outcome

  • Consolidated multi-chain operations into a single supervised toolchain.
  • Real-time visibility into wallet activity, gas conditions, and DeFi positions via Telegram and local dashboards.
  • Reduced manual operational overhead for airdrop qualification and governance participation.

Technologies

  • Backend: Python (web3.py, asyncio), Node.js (ethers.js)
  • Automation: Docker, cron jobs, PM2 process manager
  • Notifications: Telegram Bot API, Discord webhooks
  • Data Storage: SQLite for transaction logs, Redis for caching