Smeron
AI business intelligence

Fonda.co

An AI-driven business intelligence and automation platform that turns a simple business idea into a full research report and a live website in minutes.

  • Research automation
  • AI orchestration
  • Generative web
  • Fonda.co — screen 1
  • Fonda.co — screen 2
  • Fonda.co — screen 3

Technologies used

  • Next.js 14
  • Node.js
  • MongoDB
  • AI
  • Socket.io
  • AWS S3
  • Clerk

Overall project details

Project Fonda is a state-of-the-art, AI-driven business intelligence and automation platform. It serves as a comprehensive "Research-to-Launch" ecosystem, enabling users to transform a simple business idea into a fully-fledged research report and a live, professional website in minutes. By leveraging advanced LLMs (AI) and automated deployment pipelines, Fonda eliminates the traditional barriers of market research and web development, providing entrepreneurs with a competitive edge through data-backed strategies and instant digital presence.

Target audience

  • Entrepreneurs & Startup Founders

    For rapid idea validation, market analysis, and instant landing page generation.

  • Business Consultants & Strategists

    To generate deep-dive industry reports and professional presentations for clients.

  • Marketing Agencies

    Seeking to automate client industry research and streamline the initial stages of brand building.

  • Researchers & Analysts

    Looking for a centralized tool to gather comprehensive market intelligence and competitive data.

User experience & workflow

The platform is designed with a "Speed to Market" philosophy, focusing on a seamless transition from abstract concepts to tangible business assets.

Technical architecture

Project Fonda utilizes a robust MERN-based (plus Next.js) micro-services-ready architecture. The system is designed to handle long-running AI tasks and complex deployment sequences asynchronously.

Developer role & focus

The development of Project Fonda focuses on high-reliability automation and deep AI integration. Core implementation areas include:

  • AI Orchestration

    Fine-tuning prompts for AI to ensure consistent, factual, and professional business research data.

  • Automated Deployment

    Implementing a 5-step WordPress automation pipeline (Subdomain -> Install -> Theme -> Content -> Plugins).

  • Dynamic UI/UX

    Building a high-performance dashboard with Next.js, featuring real-time status updates via WebSockets.

  • Media Pipeline

    Integrating Runware for real-time, industry-specific image generation to populate research reports and websites.

Technology stack

Frontend Environment

Core
Next.js 14, React 18, TypeScript
Styling
Tailwind CSS, Framer Motion, GSAP (Animations)
Auth
Clerk Authentication
Visualization
Recharts, Maplibre GL
Components
HeroUI, Lucide React

Backend Infrastructure

Runtime
Node.js, Express
Real-time
Socket.io
Database
MongoDB with Mongoose ODM
Storage
AWS S3, Azure Blob Storage
Tools
Multer, Sharp (Image Processing), Winston (Logging)

AI & External Integrations

LLM
AI Models (Generative AI SDK)
Visuals
Runware SDK
Automation
NewebAI WordPress Management API
Payments
Stripe Integration

Communication structure

Fonda ensures a responsive experience by using RESTful patterns for data management and WebSockets for tracking long-running AI research and website deployment tasks.

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