Link Tap Track | Social Media Post AnalyzerHarshil Lakhani
🔗 Link Tap: Advanced Link Tracking & Analytics Dashboard
Short Description (For Resume/LinkedIn Header)
Architected and developed a high-performance link-tracking platform with a comprehensive real-time analytics dashboard, enabling detailed traffic attribution, period comparisons, and audience insights across devices and global regions.
Detailed Description (For GitHub README or Portfolio) Link Tap is a robust web application tailored for content creators and marketers to generate tracking links and deeply analyze incoming traffic telemetry. Built with a focus on high-performance data processing and visualization, the platform offers an intuitive, real-time analytics dashboard that visualizes click behavior across multiple dimensions such as traffic sources, geographical locations, devices, and exact time of day.
The application utilizes dynamic server-side filtering and robust client-side state management to handle thousands of clicks simultaneously, providing users with actionable metrics like High-GDP country breakdowns, historical period comparisons, and referral attributions.
🚀 Key Features & Accomplishments:
Comprehensive Analytics Engine: Developed a multi-dimensional dashboard visualizing click performance through time-series charts, global heatmaps, and customizable bar/donut charts.
Granular Traffic Attribution: Built systems to accurately track and display clicks segmenting by Platform (Instagram vs. Facebook), Specific Accounts, Custom Video IDs, Device types, OS, and Referrers.
Advanced Data Filtering & Comparison: Implemented complex data filtering logic allowing users to slice metrics by specific date ranges, specific browsers, or referrers. Engineered a Period Comparison feature to compare current performance against historical data inline.
Specialized Financial Metrics: Designed specialized demographic algorithms to calculate and display the proportion of traffic originating from "High-GDP" global markets natively within the UI.
Link Management System: Built a streamlined interface for generating, managing, and efficiently organizing uniquely hashed tracking links.
Modern UI/UX: Styled a premium, fully responsive, dark-mode interface featuring micro-animations, glassmorphism elements, and highly interactive tooltips.
🛠️ Technical Stack:
Frontend Framework: Next.js 16, React 19
Styling & Animation: Tailwind CSS, Framer Motion
State Management: Jotai
Data Visualization: Recharts (Dynamic Charts), React-Simple-Maps & TopoJSON (Interactive Global Heatmap)
Data Fetching & Validation: Axios, Zod (Schema validation), Date-fns
Language: TypeScript
FAQs
Yes.
Yes, with additional data like from which country, city, by which device, and many more.
Example work
Starting at$1,000
Duration2 weeks
Tags
Firebase
Google BigQuery
Next.js
Node.js
Shadcn UI
TypeScript
Service provided by
Harshil Lakhani proSurat, India
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Link Tap Track | Social Media Post AnalyzerHarshil Lakhani
Starting at$1,000
Duration2 weeks
Tags
Firebase
Google BigQuery
Next.js
Node.js
Shadcn UI
TypeScript
🔗 Link Tap: Advanced Link Tracking & Analytics Dashboard
Short Description (For Resume/LinkedIn Header)
Architected and developed a high-performance link-tracking platform with a comprehensive real-time analytics dashboard, enabling detailed traffic attribution, period comparisons, and audience insights across devices and global regions.
Detailed Description (For GitHub README or Portfolio) Link Tap is a robust web application tailored for content creators and marketers to generate tracking links and deeply analyze incoming traffic telemetry. Built with a focus on high-performance data processing and visualization, the platform offers an intuitive, real-time analytics dashboard that visualizes click behavior across multiple dimensions such as traffic sources, geographical locations, devices, and exact time of day.
The application utilizes dynamic server-side filtering and robust client-side state management to handle thousands of clicks simultaneously, providing users with actionable metrics like High-GDP country breakdowns, historical period comparisons, and referral attributions.
🚀 Key Features & Accomplishments:
Comprehensive Analytics Engine: Developed a multi-dimensional dashboard visualizing click performance through time-series charts, global heatmaps, and customizable bar/donut charts.
Granular Traffic Attribution: Built systems to accurately track and display clicks segmenting by Platform (Instagram vs. Facebook), Specific Accounts, Custom Video IDs, Device types, OS, and Referrers.
Advanced Data Filtering & Comparison: Implemented complex data filtering logic allowing users to slice metrics by specific date ranges, specific browsers, or referrers. Engineered a Period Comparison feature to compare current performance against historical data inline.
Specialized Financial Metrics: Designed specialized demographic algorithms to calculate and display the proportion of traffic originating from "High-GDP" global markets natively within the UI.
Link Management System: Built a streamlined interface for generating, managing, and efficiently organizing uniquely hashed tracking links.
Modern UI/UX: Styled a premium, fully responsive, dark-mode interface featuring micro-animations, glassmorphism elements, and highly interactive tooltips.
🛠️ Technical Stack:
Frontend Framework: Next.js 16, React 19
Styling & Animation: Tailwind CSS, Framer Motion
State Management: Jotai
Data Visualization: Recharts (Dynamic Charts), React-Simple-Maps & TopoJSON (Interactive Global Heatmap)
Data Fetching & Validation: Axios, Zod (Schema validation), Date-fns
Language: TypeScript
FAQs
Yes.
Yes, with additional data like from which country, city, by which device, and many more.
Example work
$1,000