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Cover image for Rangoli CRM - Serverless React
Rangoli CRM - Serverless React CRM Platform Rangoli CRM was a serverless React.js CRM platform that I developed from scratch, including the frontend, serverless backend workflows, API integrations, deployment, and production setup. The system was built to manage customers, orders, billing, printable invoices, shipments, and business reporting from a single dashboard. The frontend was built with React.js and hosted on Firebase Hosting. For backend/serverless logic, I used Firebase Cloud Functions, while Hasura was deployed on Heroku to provide GraphQL APIs for application data. I integrated shipment workflows, including Shiprocket, so the business could manage order delivery and tracking directly through the CRM. My Role Full Project Developer Key Work Developed the complete CRM from scratch Built React.js dashboard screens for customers, orders, billing, invoices, shipments, and reports Hosted the frontend on Firebase Hosting Built serverless workflows using Firebase Cloud Functions Used Hasura on Heroku for GraphQL data APIs Integrated GraphQL APIs with Apollo Client Integrated Shiprocket for shipment and delivery workflows Managed frontend state using Redux Built responsive UI using Ant Design Handled deployment, debugging, and production setup Tech Stack React.js, Redux, Ant Design, Firebase Hosting, Firebase Cloud Functions, Hasura, GraphQL, Apollo Client, Heroku, Shiprocket API, JavaScript
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Cover image for Web3 Governance Agent Web3 Governance Agent Introduction A
Web3 Governance Agent Web3 Governance Agent Introduction A custom AI agent built for Web3 consultant Tanisha Katara. It autonomously monitors governance proposals across major chains like Ethereum, Mantle, and Arbitrum. The agent detects new proposals or status changes, drafts tweets, and allows for human-in-the-loop approval before posting, ensuring she stays ahead of the news cycle without the manual fatigue. The Noise Manual Tracking is Impossible Monitoring 10+ protocols like Arbitrum and Mantle manually means missing critical votes. We needed an observer that never sleeps. The Brain n8n + Gemini I built workflows in n8n to scrape Tally & Snapshot. The data feeds into Gemini to draft tweets that sound exactly like Tanisha. Full Coverage Tally, Snapshot & GitHub It doesn't just watch one source. The agent monitors Snapshot for sentiment checks, Tally for on-chain execution, and GitHub for technical proposal discussions. Live Execution Real-time proposal detection and tweet generation workflow running in n8n. Human-in-the-Loop Trust but Verify The AI doesn't post blindly. I built a custom dashboard where drafts sit in a queue. Tanisha can edit, approve, or reject them. It gives her the speed of AI with the safety of manual review. Let's build your next automation Reach out if you'd like to collaborate on AI agents or Web3 automations. I'm all ears.
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