IA Systems & Data
AI and automationWeb platform

Social Manager

Platform that monitors Facebook comments, classifies them by sentiment with AI and shows the conversation in real time on a single dashboard.

Client
Alianza para el Progreso
Year
2025 – 2026
Service
AI and automation
Role
Full-stack technical lead
Format
Web platform
Status
In production
Social Manager dashboard with comment metrics and sentiment analysis
01 · The challenge

Understanding the Facebook conversation without reading every comment by hand.

The communications team needed a single view of the comments on their posts and to know in time when the tone of the conversation changed.

02 · What we did

A platform that syncs, classifies and alerts.

We connected Facebook through the Graph API and verified webhooks, synced comments every 3 minutes and classified them with a sentiment analysis engine. The dashboard updates in real time.

03 · Features

What it includes

  • Analytics dashboard

    Engagement, comment and sentiment metrics in real time, with interactive charts.

  • AI sentiment analysis

    Classifies every comment and lets the team filter the conversation by sentiment.

  • Comment monitoring

    Centralized management with advanced filters and automatic sync every 3 minutes.

  • Real time

    WebSockets with Socket.IO and Redis so the dashboard updates without reloading the page.

  • Facebook webhooks

    Every incoming event is validated against Facebook's signature before it is processed.

  • Secure access

    JWT authentication with role-based permissions to protect every route of the dashboard.

04 · How we built it

Stack and architecture

  • Next.js 16
  • TypeScript
  • React Server Components
  • NestJS 11
  • Socket.IO
  • Prisma
  • Upstash Redis
  • Facebook Graph API
Frontend
Next.js 16 with React Server Components and Tailwind CSS, deployed on Vercel.
Backend
NestJS 11 with Prisma, JWT authentication and modules split by domain.
Real time
Socket.IO gateway with Upstash Redis and scheduled tasks.
Integrations
Facebook Graph API, verified webhooks and a sentiment analysis engine.
05 · Technical challenges

What we solved

  1. Webhooks with verified signatures

    Middleware that keeps the raw request body to validate the HMAC-SHA256 signature of every Facebook event.

  2. Real time on serverless

    Socket.IO with Redis to keep connections alive on Vercel, with an in-memory fallback during development.

  3. Modular architecture

    Separate modules for authentication, posts, comments, analytics, real time and AI, maintained and tested independently.

06 · Project facts

In detail

Facebook sync
Every 3 min
Backend modules
6
Verification of every webhook
HMAC-SHA256
See all

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