Watch me Build a Marketing Startup

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• How do I leverage Artificial Intelligence (AI)?
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• Stripe online payments
• React Stripe Checkout for using Stripe Checkout as a React component]
• React CSV Reader React component that handles csv file input and its parsing
• Node.js - JavaScript runtime built on Chrome's V8 JavaScript engine
• React = JavaScript library for building user interfaces
• PostgreSQL Open Source Relational Database
• Knex.js SQL query builder
• GraphQL a query language for your API, and a server-side runtime for executing queries
• Relay a JavaScript framework for building data-driven React applications
• Firebase | Google's service
• TensorFlow.js
• D3.js bring data to life using HTML, SVG, and CSS
• Google Analytics
• Clearbit marketing data engine
• Watchman ... a file watching service Excel related...
• Excel ... Documents ... Database; Vector & Relational ... Graph ... LlamaIndex
• Python & Excel

I've built an app called VectorFunnel that automatically scores leads for marketing & sales teams! I used React for the frontend, Node.js for the backend, PostgreSQL for the database, and TensorFlow.js for scoring each lead in an Excel spreadsheet. There are a host of other tools that I used like ClearBit's data API and various Javascript frameworks. If you have no idea what any of that is, that's ok I'll show you! In this video, I'll explain how I built the app so that you can understand how all these parts fit together. The learning goal here is to give you enough of an idea of how these tools work to be able to formulate a plan for your own marketing startup MVP (minimum viable product). Enjoy! Code for "Watch Me Build a Marketing Startup" | Siraj Raval - GitHub