ForumPulse

AI-powered insights and summaries for forum discussions, built on a headless backend.

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Inspiration

Online communities generate a huge amount of valuable discussion, but most of it gets buried in long threads that are hard to skim, analyze, or act on. Moderators and product teams often lack visibility into what the community is really saying without reading everything manually.

We were inspired to explore how a headless forum backend could be combined with AI to transform raw discussions into clear, actionable insights** rather than just another forum interface.

What it does

ForumPulse is an AI-powered analytics dashboard that turns forum discussions into meaningful insights.

It:

  • Fetches threads and posts from a headless forum backend
  • Generates concise AI summaries (TL;DR) for long discussions
  • Analyzes overall sentiment of each thread
  • Highlights highly engaging or “hot” discussions
  • Provides a read-only dashboard view focused on understanding, not posting

Instead of replacing forums, ForumPulse helps people understand communities faster.

How we built it

  • Frontend: Next.js (App Router) with TypeScript and Tailwind CSS
  • Backend: Foru.ms used as a headless backend service via REST APIs
  • Architecture: * Foru.ms stores users, threads, and posts * Next.js fetches this structured data * An internal API route processes the data using AI to generate summaries and insights * AI Layer: Used to summarize discussions, detect sentiment, and explain engagement patterns * Design approach: Clean dashboard UI with cards and metrics, focusing on clarity over complexity

The backend never renders UI, keeping the system fully headless and flexible.

Challenges we ran into

  • Empty data problem: Initially, GET requests returned null until we properly seeded users, threads, and posts.
  • Prompt tuning: Ensuring summaries were concise, neutral, and useful without hallucination required iteration.
  • Signal vs noise: Avoiding generic AI outputs and focusing on insights that actually help users.
  • Data consistency: Structuring forum data correctly before passing it to the AI layer.

Accomplishments that we’re proud of

  • Built a complete end-to-end product using a headless backend correctly
  • Demonstrated a non-traditional but valuable use case for forum data
  • Designed AI features that support decision-making, not just novelty
  • Kept the architecture simple, scalable, and realistic for real-world adoption

What we learned

  • Headless backends enable far more creativity than traditional coupled systems
  • AI adds the most value when used for analysis, not conversation
  • Clear problem framing matters more than adding many features
  • Community data becomes powerful when it’s structured and observable

What’s next for ForumPulse

  • Caching AI results to reduce recomputation and cost
  • Advanced analytics (topic clustering, trends over time)
  • Moderation and toxicity alerts
  • Weekly or monthly AI-generated community digests
  • Role-based views for moderators and product teams

ForumPulse can evolve from a hackathon project into a real intelligence layer for online communities.

Built With

  • foru.ms
  • nextjs
  • tailwindcss
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