90% Faster LinkedIn Insights in 2025 — Turn Your’ LinkedIn Analytics Excel Into Clean Visual Insights in Seconds, Built with Google Antigravity by House of FOSS
- Philip Moses
- 1 day ago
- 3 min read
Updated: 6 hours ago
Most founders, marketers, creators, and team members download their LinkedIn Analytics Excel export expecting to understand their performance — yet almost no one ends up analyzing it.
The reason is simple: the file is overwhelming. It’s long, cluttered, technical, and takes far too much time to interpret.
To eliminate this friction, House of FOSS built a simpler way for people who want clarity without dealing with spreadsheets.
Introducing LinkedIn Insights — a privacy-first, client-side analytics dashboard that transforms the LinkedIn Analytics Excel export into clean, visual, and actionable insights within seconds.
Powered by Google Antigravity, it’s built for speed, privacy, and ease of use.
In this blog, you’ll learn:
1️⃣ What makes the standard Excel export difficult to work with
2️⃣ How LinkedIn Insights converts the same file into instant visual intelligence
Why People Avoid LinkedIn’s Excel Analytics Export
The native export isn’t designed for quick understanding. It’s dense, difficult to navigate, and often requires 45–60 minutes just to extract basic insights.

For creators and teams who move fast, a quicker and more private solution is essential — and that’s exactly what LinkedIn Insights delivers.
The Alternative: LinkedIn Insights by House of FOSS
LinkedIn Insights is a fully client-side analytics dashboard that transforms your LinkedIn Analytics Excel export into clean, visual insights in seconds.
✔ Built with Google Antigravity
✔ 0% data leaves the browser
✔ No accounts, no uploads, no tracking
✔ Ideal for creators, founders, BD teams, HR, recruiters & marketers
You simply drag and drop your Excel file — insights appear instantly.
Excel Export vs LinkedIn Insights (2025 Comparison)
Category | LinkedIn Excel Export | LinkedIn Insights (House of FOSS) |
| Low — raw rows & columns | High — visual, clean dashboard |
| 45–60 minutes | Seconds |
| Local file but manual work | 100% client-side, zero data leaves device |
| Hard to spot patterns | Instant KPIs, trends, visuals |
| Manual formulas required | Automated deep analysis |
| Intermediate Excel skills | No skills — drag & drop |
| Data analysts | Founders, marketers, creators, BD teams |
| Outdated & slow | Modern, fast & simple |
Why LinkedIn Insights Stands Out
🚀 Key Features
🔒 1. Privacy-First Processing
Everything happens locally.
Your users’ LinkedIn Analytics Excel export never leaves their device.
📊 2. Visual Dashboard for LinkedIn Analytics
Within seconds, the dashboard visualizes:
impressions
engagements
profile views
follower growth
format-level performance
day & week patterns
The messy Excel export becomes a readable visual story.
📈 3. Deep Top-Posts Analysis
Automatically breaks down:
engagement distribution
reaction/comment/share ratios
top-performing formats
posting-time performance
post-by-post metrics
All computed instantly.
⚡ 4. Drag-and-Drop Excel Parsing
Upload → visualize in seconds.
No setup. No complexity.
🌗 5. LinkedIn-Themed Dark Mode
Modern, elegant, and easy on the eyes.
📱 6. Fully Responsive
Works seamlessly on desktops, laptops, and tablets.
🧩 Tech Stack Overview
Next.js 16 (App Router)
TypeScript
Tailwind CSS + Shadcn/UI
Recharts
SheetJS (xlsx) for parsing LinkedIn Analytics Excel exports
Docker / Docker Compose
Engineered for speed, readability, and complete client-side security.
🏁 How to Get Started
Prerequisites
🐳 Quick Start (Docker)
1. Clone the repository
git clone https://github.com/philipmoses/linkedin-insights.git cd linkedin-insights2. Set up Environment Variables Create a .env.local file in the root directory
(optional, for Firebase Analytics):
NEXT_PUBLIC_FIREBASE_API_KEY=your_key
NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN=your_domain
NEXT_PUBLIC_FIREBASE_PROJECT_ID=your_project_id
# ... other firebase config
3. Start Development Environment
docker-compose -f dev.docker-compose.yml upApp running at: http://localhost:3000
Hot-reload enabled
4. Start Production Environment
docker-compose up -d --buildApp running at: http://localhost:3000
Optimized production build
💻 Local Development (No Docker)
Install dependencies
npm installRun the development server
npm run dev3. Open your browser Navigate to http://localhost:3000
🗂️ Project Structure
src/
├── app/ # Next.js App Router pages
├── components/ # React components
│ ├── dashboard/ # Analytics specific components (Charts, KPIs)
│ ├── layout/ # Layout components (Header, Footer)
│ └── ui/ # Reusable UI components (Buttons, Cards, etc.)
├── lib/ # Utilities and helper functions
│ ├── excel-parser.ts # Logic for parsing LinkedIn Excel exports
│ └── utils.ts # General utilities
└── types/ # TypeScript type definitions
🤝 Contribute
House of FOSS welcomes contributions:
New features
UI improvements
Bug fixes
Performance upgrades
Documentation
Fork → Improve → PR.
📄 MIT License
Open-source and free for all.
✨ Built with Google Antigravity by House of FOSS
LinkedIn Insights represents the future of creator analytics — fast, private, and frictionless, powered entirely by your users’ own LinkedIn Analytics data.
No spreadsheets.
No clutter.
No waiting.
Just clarity.
📌 GitHub Repository
🌐 Live Website

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