🚀 I just shipped Digital Product Opportunity Radar, a market intelligence Actor built on Apify. ...🚀 I just shipped Digital Product Opportunity Radar, a market intelligence Actor built on Apify. ...
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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.
Redesigned Linea's home screen. The bit i care about most is the signals panel, the system watches every run and flags anything that looks wrong: "hallucination suspected", "tool error", last seen, how often. you catch it before a user does.
Each execution shows its cost. the support assistant's about a cent a run. Second shot is the canvas where the flows get built.
Is the home page enough at a glance, or would you pull executions higher?
📦 Which products are at risk of stockouts?
🚚 Where are delivery and fulfillment problems happening?
💰 Which products or processes are affecting revenue?
📊 Which numbers actually need your attention?
That’s where I come in.
I help e-commerce and operations businesses clean, analyze, and visualize their data using Excel, Power Query, SQL, and Power BI.
The goal isn't just another dashboard.
It’s clearer answers, better visibility, and insights you can act on.
If your business has data but you're struggling to turn it into decisions, let's talk.