Inspiration
Businesses today operate in highly competitive markets. Understanding competitors is crucial, but traditional SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis is time-consuming and often subjective. We wanted to make this process faster, smarter, and more accurate by leveraging AI. That’s how CompetAI was created.
What it does
CompetAI automates competitor research and delivers AI-powered SWOT insights. Analyzes competitors’ websites, social presence, and market activities. Generates clear SWOT breakdowns (Strengths, Weaknesses, Opportunities, Threats). Provides competitor comparison dashboards. Exports structured reports (PDF/CSV) for teams and stakeholders. Reduces hours of manual research into a few minutes.
How I built it
Frontend: Next.js 14 with TypeScript for a modern, responsive UI. Tailwind CSS for styling, Framer Motion for animations, React Hook Form for user input, and Axios for API requests.
Backend: Node.js + Express.js with TypeScript. PostgreSQL as the primary database, Redis for caching results and sessions. Puppeteer for scraping competitor websites and generating PDFs. JWT for secure authentication.
AI Integration: OpenAI GPT-4 processes scraped competitor data and transforms it into structured SWOT insights with human-like clarity.
Challenges we ran into
Designing scrapers that adapt to different competitor website structures. Ensuring SWOT outputs are accurate, unbiased, and actionable. Handling large volumes of competitor data efficiently. Balancing AI-generated insights with user trust and verifiability.
Accomplishments that we're proud of
Successfully automated a process that usually takes analysts days to complete. Delivered actionable SWOT insights with AI-powered clarity. Built a system capable of scaling across multiple industries and competitors. Created a professional, clean UI that makes complex data easy to digest
What we learned
The importance of data quality: garbage in = garbage out. High-quality scraping and preprocessing drastically improved AI outputs. How to combine AI reasoning with structured frameworks like SWOT. Scaling challenges in data scraping and caching when analyzing many competitors.
What's next for CompeteAi
Adding deeper competitive benchmarks (pricing, reviews, market sentiment). Supporting integration with CRM and BI tools. Enhancing AI models to detect emerging trends and threats automatically. Enabling collaboration features so teams can work together on competitor analysis. Launching a mobile-friendly dashboard for real-time competitor tracking.
Built With
- axios
- express.js
- next.js
- node.js
- openai
- postgresql
- puppeteer
- react
- redis
- typescript
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