Three out of five niches died in ten minutes flat, and that’s exactly what was supposed to happen.
That’s the result u/Professional-Rest138 got over on r/PromptEngineering. The original poster got fed up with asking AI for business ideas and getting the same recycled list back every time. Dropshipping. Print on demand. “Start a newsletter.” The fix wasn’t a better idea generator, though. It was flipping the order of operations entirely.
Most idea prompts work backward. You ask, the model pulls from patterns it’s seen a thousand times, and it hands you a list that sounds plausible and proves nothing. This one does the opposite. It researches first, then suggests. Real complaints from Reddit, Quora, G2, and ProductHunt come before a single niche gets named, let alone recommended.
Old Way vs. New Way 🔄
Old way: ask for ideas, get a list, spend three weeks finding out half of them are already saturated.
New way: ask for pain points first, score every candidate before committing a single hour, and cut the losers before lunch.
Here’s the full prompt, reproduced exactly as the original poster shared it:
You are a niche research and validation assistant. Your job is to analyze, cross-compare, and identify potentially profitable online business niches that are realistic for me to enter based on current market signals, competition levels, and my alignment.
Instructions:
- Use deep research to extract recurring pain points from real communities like Reddit, Quora, G2, and ProductHunt.
- Summarize those pain points with supporting examples.
- Validate each niche on: Demand Strength, Competition Intensity, Monetization Potential.
- Cross-reference against my personal input for feasibility.
- Rank each validated niche 1-10.
- Give an action path for each.
Reply with: “Please enter your background, skills, interests, time availability, and how much you’re willing to invest,” then start the process.
The mechanics here are worth breaking down, because the sequencing is doing all the work. Step one forces the model out of its training data. It has to go find live sources instead, the same forums where people type out their frustrations in their own words. Everything after that step builds on evidence instead of a guess dressed up as an idea.
The scoring step is where the real time gets saved. Three criteria drive it: Demand Strength, Competition Intensity, Monetization Potential. Together they turn a vague “this seems promising” into a number you can actually act on. The original poster said three out of five niches scored badly on competition. Those got dropped in ten minutes, instead of three weeks of half-committed building before the same truth showed up anyway.
One commenter on the thread put it simply: that first research step is the whole game. Most people skip straight past it. Then they wonder why their idea gets buried under ten competitors they never bothered to check for.
The closing instruction matters just as much as the research step. The prompt doesn’t dump results the second you run it. It asks for background, skills, interests, time, and budget first. That’s what makes the “cross-reference against my personal input” step actually happen, instead of getting quietly skipped like it does in most prompts that promise personalization and never deliver it.
How to Run It
- Paste the prompt as-is into a model with real search or research access. One running on stale training data alone can’t pull live complaints.
- Answer the background question honestly and specifically. Vague inputs like “I like business” produce vague, useless action paths on the other end.
- Read the pain-point summaries before you glance at the scores. A score without the underlying complaint is just a number you’re trusting blindly.
- Set your own cutoff before you start, and stick to it. Anything scoring below 6 on competition or demand gets cut without a debate.
- Treat the action paths for the survivors as a rough first draft. They still need your own validation before you build anything.
Two variations worth testing if you want to push this further. Add a step asking the model to check job boards and freelance platforms for the same pain points, since paid demand shows up there in a different form. Or ask it to flag any niche where the top competitors have already raised funding. That’s a very different fight than three scrappy indie hackers splitting a market.
The original poster mentioned building out a bigger library of prompts and workflows for the stuff people are still doing by hand. Worth digging through if this one lands for you.
Next time a model hands you five business ideas with zero evidence behind any of them, don’t start building. Ask it to go find the complaints first.
Frequently Asked Questions
Q: Why does AI usually just suggest generic ideas like “start a dropshipping store”?
Because typical prompts ask AI to generate ideas from scratch, not from real customer problems. This approach flips the script: it researches actual pain points on Reddit, Quora, G2, and ProductHunt first, then works backward to identify niches people genuinely need solutions for.
Q: How do you know which business ideas are actually worth pursuing?
The prompt scores each niche on Demand Strength, Competition Intensity, and Monetization Potential, then ranks it 1-10. In the example, three of five ideas scored poorly on competition and were eliminated in 10 minutes, saving weeks of wasted effort on ideas that would have failed anyway.
Q: Where do “real demand signals” actually come from?
They come from authentic complaints in public communities: Reddit threads, Quora Q&As, G2 reviews, ProductHunt discussions. The key is finding recurring pain points across multiple people, not just one-off complaints, that’s how you know it’s real market demand.
Q: Can I adapt this validation approach for my own workflow?
Yes. The author has built a library of validation workflows and prompts (promptwireai.com/templates) you can customize. The core principle stays the same: research real customer pain points first, then identify promising niches, not the other way around.
stopped asking ai for business ideas and started making it validate against real demand first. the prompt is long but it’s the only one that’s given me anything usable
by u/Professional-Rest138 in PromptEngineering