ins199I run DemandRadar, a scraper that hunts for SaaS ideas by analyzing demand signals across the web —...
I run DemandRadar, a scraper that hunts for SaaS ideas by analyzing demand signals across the web — Reddit, Product Hunt, payment discovery data, the works. It spits out daily reports with scored opportunities based on real user complaints and search intent. This week, it surfaced 583 new demand cards across three reports. Most were noise. But three ideas kept showing up, and one completely blindsided me.
Let me walk you through what I found.
Score: 90. Three days in a row. That's rare.
The demand signal isn't "I want a T-shirt printer." It's "I want to spin up merch as fast as I spin up a digital product." Creators, streamers, small brands — they're drowning in minimum order quantities and 3-week lead times. The real gap isn't printing; it's the design-to-delivery pipeline. A platform that handles production and offers a slick design tool (think Canva meets Printful) with a commission model so you win when they sell.
Who pays? Anyone with an audience and a logo. The barrier to entry is low, but the moat is logistics and brand control. If you can nail speed and quality, you own a recurring revenue machine.
Score: 88. Also three days in a row.
Every company has PDFs, wikis, and knowledge bases that nobody reads. The dream is "upload PDF, get a chatbot." But the execution is still clunky. Most solutions are either too technical (LangChain) or too generic (Zendesk). The winner needs to nail accuracy, citations, and setup time — ideally under 5 minutes.
The surprising part? This isn't just a B2B play. Freelancers, consultants, even course creators want this. The buyer is anyone with a knowledge base who's tired of answering the same questions. The challenge is avoiding the "just another ChatGPT wrapper" label. You need a real differentiator — like handling 50 different document formats or integrating with Notion/Google Drive out of the box.
Score: 85. Lower, but the signal is potent.
This one surprised me. Subscription fatigue is real. Adobe's pricing keeps creeping up, and freelancers and small agencies are actively searching for a one-time purchase alternative. The demand signal isn't from people complaining on Twitter — it's from payment discovery data. People are looking to buy something, not just browse.
The catch? You can't compete with Figma on features. But you don't need to. You need to be "good enough for 80% of users" and charge a flat $200-$500. The buyer is a designer who's tired of monthly bills and doesn't need vector networks or advanced prototyping. The risk is feature creep — if you try to match Adobe, you'll never ship.
I expected the merch idea to be a flash in the pan. But it scored 90 across three separate reports. That's not a fluke — that's a pattern. The scraper picks up signals from payment discovery, which means people are actively searching for solutions with money in hand. That's the strongest signal you can get.
What went wrong? I almost dismissed the design tool idea because the score was lower. But when I looked at the source — payment discovery — I realized the intent is higher. A lower score from a high-intent source is worth more than a high score from generic browsing. I need to adjust my weighting.
Drop a comment — which of these three would you build this weekend, and why? I read every one.
I post daily findings from DemandRadar on Twitter @inspired199. Check out the live app at demand-radar.com.