Nextjs Waitlist Page

An open-source next.js waitlist landing page with EmailOctopus API 📩

Digital Marketing & SEOTypeScriptMIT

Abstract

Nextjs Waitlist Page is an open-source Digital Marketing & SEO project. An open-source next.js waitlist landing page with EmailOctopus API 📩. A ready-to-use Next.js wait list page that helps you capturing potential customer emails using EmailOctopus service. It is built using TypeScript, Next.js, Tailwind CSS. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

A ready-to-use Next.js wait list page that helps you capturing potential customer emails using EmailOctopus service.

2. Objective

An open-source next.js waitlist landing page with EmailOctopus API 📩

This project demonstrates how TypeScript, Next.js, Tailwind CSS can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

TypeScriptNext.jsTailwind CSS

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Node.js (LTS) and npm / yarn / pnpm
  • VS Code or any code editor
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/soufianeelc/nextjs-waitlist-page.git
cd nextjs-waitlist-page
  1. Clone this repository
  2. Install dependencies
git clone git@github.com:soufianeelc/nextjs-waitlist-page.git
pnpm install

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Export reports to Google Sheets or PDF
  • Schedule weekly automated reports
  • Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which marketing or SEO problem does this tool solve?
  2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
  3. Which metrics or KPIs does it report and how are they calculated?
  4. How could the output help a business make decisions?
  5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by soufianeelc and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

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