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All Case Studies

— Case Study

AI & Machine LearningSaaS

AI-Powered LinkedIn Content Curation & Sheet Sync Platform

A digital research team spent hours manually copying LinkedIn posts, categorising themes, and updating spreadsheets for content strategy. We built a browser extension and AI processing platform that extracts feed posts in one click, evaluates relevance using GPT-4, and syncs organized data directly into PostgreSQL and Google Sheets.

AI-Powered LinkedIn Content Curation & Sheet Sync Platform

— The Challenge

The Problem We Solved

Manually curating social media insights for industry research and content marketing created operational friction and data errors:

  1. Team members manually copied post copy, author information, and engagement details into spreadsheets, taking hours every week.

  2. Evaluating whether posts matched specific campaign themes required manual review, leading to inconsistent content tagging.

  3. Data collected across individual team members remained fragmented, with no centralized database to search or analyze past insights.

  4. Updating shared Google Sheets manually caused version control conflicts and formatting errors across team workspaces.

4

Challenges Identified

Every challenge was systematically addressed through tailored engineering and design — no workarounds, no compromises.

— Our Solution

How We Solved It

We built a browser extension and AI curation backend that automates post capture, content summarisation, and spreadsheet synchronization:

Chrome browser extension allowing users to save posts directly from their feed with custom theme and tag selections.

GPT-4 AI processing layer that automatically summarizes post text, evaluates content relevance against user tags, and assigns a match score.

Automated Google Sheets integration syncing captured posts and AI summaries into live team spreadsheets without manual data entry.

React and Vite admin management panel providing centralized search, tag management, theme filtering, and content exports.

Cloud infrastructure deployed on AWS EC2 and AWS RDS PostgreSQL with Sequelize ORM for secure, persistent data storage.

— Tech Stack

Technologies Used

React
Vite
Express.js
PostgreSQL
Sequelize ORM
OpenAI API
Google Sheets API
Chrome Extension
AWS EC2
AWS RDS

— Impact

Results & Outcomes

90%
Curation Time Saved
100%
Automated Sheet Sync
GPT-4
AI Relevance Scoring

Reduced content curation processing time by over 90%, turning manual data entry into a one-click extension action.

Standardised post classification across team members using automated GPT-4 relevance scoring and instant summarization.

Eliminated spreadsheet sync errors by pushing processed records directly to Google Sheets and PostgreSQL simultaneously.

Created a searchable central repository of industry posts, enabling marketing teams to extract content trends and campaign insights on demand.

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