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Instagram Unfollowers Checker - Chrome Extension

Developed a Chrome extension that enables users to identify Instagram accounts that don't follow them back. Built the complete solution end-to-end, including browser extension logic, client-side data processing, and a simple user interface, with a strong focus on usability and privacy.

ExperimentCompletedReleasedSolo BuilderEnd-to-End OwnerApr 2026

Project Overview

Existing alternatives frequently relied on paid subscriptions or requested direct access to users' credentials. To provide a privacy-first and free alternative, I used AI-assisted development tools to design, build, and publish a Chrome extension that performs follower analysis locally in the browser, prioritizing user trust, simplicity, and accessibility.

Architecture / Existing Stack Sections

  • Browser extension built using a lightweight, modular architecture focused on privacy-first client-side processing.
  • Clear separation between UI components, extension orchestration logic, and Instagram data processing utilities.
  • Designed to process exported Instagram account data entirely within the user's browser without transmitting personal information to external servers.
  • Reusable parsing and analysis modules to support maintainability and future feature expansion.
  • End-to-end ownership covering ideation, implementation, publishing, updates, and user support.
  • JavaScript / TypeScript
  • Chrome Extension APIs
  • Manifest V3
  • HTML
  • CSS
  • Browser storage APIs
  • File parsing utilities
  • Feature-oriented module organization

Development Tech Stack

  • JavaScript / TypeScript
  • Chrome Extension APIs
  • Manifest V3
  • HTML
  • CSS
  • Browser storage APIs
  • File parsing utilities
  • Feature-oriented module organization
  • Git for version control

Q&A Tech Stack

  • Manual testing across major extension workflows
  • Validation using multiple Instagram export datasets
  • Browser compatibility testing within Chrome
  • Regression testing before store updates
  • Edge case testing for malformed or incomplete exports
  • Functional testing of upload and parsing flows
  • User feedback monitoring and issue reproduction
  • Iterative improvements through extension updates

AI Integration Tech Stack

  • AI-assisted development workflows for implementation acceleration
  • Claude
  • ChatGPT
  • Codex
  • AI-assisted code generation and refactoring
  • AI-supported debugging and problem solving
  • AI-assisted exploration of Chrome Extension patterns and best practices
  • Human-led validation, architecture decisions, testing, and final delivery

Deployment Tech Stack

  • Chrome Web Store
  • Manifest V3 packaging and distribution
  • Extension asset preparation and store listing management
  • Versioning and release management
  • Incremental updates through Chrome Web Store publishing
  • User review monitoring and post-release maintenance
  • Production support and issue resolution

Related Experience

Built during Software Engineer at Freelance.