Unified Social Dashboard Development
Budget: ₹12,500 – ₹37,500 INR
I’m building a production-ready web app that lets Social Media Managers plan, publish, and analyse content from a single place. The dashboard must connect to Twitter, Instagram, and LinkedIn first, with Reddit, Threads, and Facebook added behind the same modular interface.
Core workflow
• Secure OAuth sign-in for every network.
• A posting composer that handles text, images, and video, queues posts, and shows channel-specific previews.
• Real-time engagement, follower growth, and content performance analytics pulled from each API and rendered in clear charts.
• An AI assistant that scans past top-performing posts and suggests fresh copy, hashtags, and optimal publish times.
Tech stack & architecture
The backend is already planned around Node.js with a plugin-style folder structure so each platform can live in its own module. Everything runs in Docker containers, wired into a CI/CD pipeline for push-to-deploy on AWS. I need clean, well-commented code and unit tests so new social channels can be added with minimal friction.
Deliverables
1. End-to-end dashboard (frontend + Node.js API) in a Git repo.
2. Docker-compose file plus README for local spin-up.
3. CI/CD workflow file (GitHub Actions or similar) deploying to a staging branch.
4. Demo data or mock services for any API calls that require review access.
Acceptance criteria
– Sign-in works for Twitter, Instagram, LinkedIn.
– A post can be drafted, scheduled, and successfully published to all three.
– Analytics widgets accurately display likes, comments, shares, follower delta, and per-post performance.
– AI suggestions return within two seconds and improve when historical data grows.
If you’re comfortable with social API quirks, OAuth flows, and containerised Node services, I’m ready to share wireframes and move fast.
Core workflow
• Secure OAuth sign-in for every network.
• A posting composer that handles text, images, and video, queues posts, and shows channel-specific previews.
• Real-time engagement, follower growth, and content performance analytics pulled from each API and rendered in clear charts.
• An AI assistant that scans past top-performing posts and suggests fresh copy, hashtags, and optimal publish times.
Tech stack & architecture
The backend is already planned around Node.js with a plugin-style folder structure so each platform can live in its own module. Everything runs in Docker containers, wired into a CI/CD pipeline for push-to-deploy on AWS. I need clean, well-commented code and unit tests so new social channels can be added with minimal friction.
Deliverables
1. End-to-end dashboard (frontend + Node.js API) in a Git repo.
2. Docker-compose file plus README for local spin-up.
3. CI/CD workflow file (GitHub Actions or similar) deploying to a staging branch.
4. Demo data or mock services for any API calls that require review access.
Acceptance criteria
– Sign-in works for Twitter, Instagram, LinkedIn.
– A post can be drafted, scheduled, and successfully published to all three.
– Analytics widgets accurately display likes, comments, shares, follower delta, and per-post performance.
– AI suggestions return within two seconds and improve when historical data grows.
If you’re comfortable with social API quirks, OAuth flows, and containerised Node services, I’m ready to share wireframes and move fast.
Related categories:
Amazon Web Services
Node.js
Express JS
AngularJS
OAuth
Docker
API Development
CI/CD