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🚀 I just shipped Digital Product Opportunity Radar, a market intelligence Actor built on Apify.
The problem I wanted to solve:
How do you decide which digital product niche is actually worth testing?
Instead of generating random ideas, the Actor uses marketplace evidence from Etsy and trend validation from Pinterest to identify and rank opportunities.
It evaluates signals such as:
• Demand and competition
• Pricing evidence
• Digital-product fit
• Market-entry potential
• Pinterest trend validation
Each opportunity receives a transparent TEST / WATCH / SKIP decision with scores, reasoning, and risks.
Built with TypeScript, Node.js, Apify, data extraction, normalization, and ranking logic.
Live on Apify:
https://apify.com/herazur/digital-product-opportunity-radar
I’m especially interested in building more market intelligence, web scraping, data extraction, and automation systems like this.
#Apify #TypeScript #WebScraping #Automation #MarketResearch
The network for creativity
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📊 From Raw PDF Data to Actionable Business Insights
Recently, I worked on a practical data analysis task where I transformed raw sales data from a PDF into a structured Excel dataset and turned it into meaningful business insights.
🔹 What I worked on:
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Raw data is just information — structured data and visualization turn it into insights that can support better business decisions.
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Built a full-stack AI-powered research assistant that helps users research topics, generate insights, and manage information efficiently. I handled the complete development, including backend architecture, REST APIs, authentication, MongoDB database integration, validation, and AI integration with Google Gemini and Groq. The project was designed with scalability, security, and maintainability in mind, demonstrating my ability to build modern full-stack applications and integrate AI into real-world products.
