Trending Society

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Trending Society

A fully automated content platform that aggregates trending topics from social media and RSS feeds, processes them through a multi-stage AI pipeline, and publishes SEO-optimized articles, complete with a custom MCP server, real-time pipeline telemetry, newsletter delivery, and a multi-tenant SaaS admin dashboard.

Pipeline Detail: AI Output Tab

Pipeline Detail: AI Output Tab

Image Brief: Structured Visual Intelligence

Image Brief: Structured Visual Intelligence

What started as a simple blog evolved into a full content platform. The system aggregates from 50+ feeds and social platforms, classifies content with AI, enriches it with web research, generates long-form SEO articles with quality gates, creates editorial images, and publishes autonomously, with full cost tracking and observability across every step.

Blog Generations: Key Points, Insights & FAQ Schema

Blog Generations: Key Points, Insights & FAQ Schema

Social Media Tab: Source Embeds

Social Media Tab: Source Embeds

Journey Log: Cost & Timing Waterfall

Journey Log: Cost & Timing Waterfall

AI Output: Second Article View

AI Output: Second Article View

Vision Enrichment: Image Brief Detail

Vision Enrichment: Image Brief Detail

Research Sources & Langfuse Trace Links

Research Sources & Langfuse Trace Links

FAQ Schema: Structured Data for SEO

FAQ Schema: Structured Data for SEO

Social Media: Multi-Platform Source Embeds

Social Media: Multi-Platform Source Embeds

Trigger.dev Dashboard: 95 Production Tasks

Trigger.dev Dashboard: 95 Production Tasks

Highlights

  • 740+ published articles generated and published autonomously
  • 10,840+ AI generations tracked with full Langfuse observability
  • Multi-tenant SaaS admin dashboard with RBAC (MakerKit)
  • 95 Trigger.dev pipeline tasks across 11 operational domains
  • 33 platform integrations (Gemini, Replicate, Cloudinary, Resend, and more)
  • Automated newsletter assembly and dispatch via Resend

The Platform

Trending Society is an end-to-end AI content platform, not just a blog. It processes content from RSS feeds and social media through a multi-stage AI pipeline, and publishes SEO-optimized articles at scale. Every step is observable, every cost is tracked, and the entire system runs autonomously.

Architecture

The platform is a Turborepo monorepo with clear separation of concerns:

  • Content Site: Next.js 16 on Vercel. Public reader-facing app at trendingsociety.com with RSS feed, news sitemap, and llms-full.txt for AI Engine Optimization (AEO).
  • SaaS Dashboard: Multi-tenant admin built on MakerKit with role-based access control. Article CMS, newsletter composer, social ingestion grid, media library, and cost analytics.
  • Pipeline Engine: 95 Trigger.dev tasks across 11 domains (article, social, content, media, cron, sync, AI, editorial, newsletter, video, repurpose). Full Langfuse tracing on every LLM call.
  • MCP Server: Cloudflare Workers-based Model Context Protocol server with 34 tool groups across 33 platform integrations. Powers all AI agent workflows.
  • Database: Supabase (PostgreSQL) with RLS, multi-tenant isolation, and event-sourced analytics.

Pipeline

The article pipeline is the core engine. For each piece of source content:

  1. Ingest: Aggregate from 19+ RSS feeds and social channels via structured data extraction and RSS automation
  2. Classify: AI categorization and topic extraction with Gemini
  3. Research: Web research enrichment via Tavily for factual grounding
  4. Rewrite: Long-form SEO article generation with quality gates (HTML cleanup, citation audit, FAQ schema)
  5. Image: Editorial image generation via FLUX on Replicate with vision-enriched prompts
  6. Publish: Autonomous publishing with metadata, structured data, and social distribution
  7. Newsletter: Automated weekly newsletter assembly and Resend dispatch

Quality & Observability

Every AI generation is traced through Langfuse with cost tracking, quality scoring, and prompt versioning. The platform has processed 10,840+ AI generations with full audit trails. Quality gates catch and fix LLM output issues (hallucinated URLs, malformed HTML, thin content) before any article reaches production.

Scale

  • 740+ published articles across multiple content verticals
  • 1,440+ ingested sources from social media and RSS
  • 12 automated cron schedules handling daily operations
  • Full cost analytics with per-article cost tracking across all AI services

Project stack

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