Within five minutes, he was moaning about his job as an estate agent. The property descriptions. The viewing schedules. The solicitors who never return calls. The vendors who think their house is worth double. The buyers who ghost after making offers.

By the third pint, I was getting the full download. Every system that's broken. Every task that wastes hours. Every bit of software that 'nearly' works but doesn't.

My other mates were glazing over. But I was taking mental notes.

See, most people avoid the complainers.

But when you're looking for business opportunities? The complainers are gold.

The more they moan, the more problems you've found. The louder they complain, the more it hurts.

I feast on their pain!

No but for real we’re going to use this to validate our markets.

Yesterday you found markets. Today we're going to find the ones full of people like this estate agent - the ones who can't stop listing everything that's broken about their industry.

Let’s get started

Summary

Complain all you want

• Complaints = business gold

• Clusterf_cks of problems

• Creating your problem density map (o la la)

From Markets to Problem Clusters

Yesterday you identified a handful of promising markets. Today we're going deeper. Much deeper.

The best markets aren't just big - they're dense with problems. One passionate community with 5 urgent problems beats a massive community with 1 mild annoyance.

Think of it like fishing. You could fish in the ocean (massive market) and catch one fish every few hours. Or you could find a stocked pond (dense market) where the fish are jumping into your boat.

We’re going to find a market where we can pull a bucket through the water and come out with lunch.

And here's the key: we want to find ALL the problems now, even though we'll only solve one initially. The other problems become your expansion opportunities later. That’s a spoiler for a few weeks from now once we are rolling.

Your AI Problem Analyst

Time to turn your AI into a problem analysis machine. Work through one market at a time for best results. Use this prompt with an agent like Manus (that's my invite) or an AI with deep research capabilities:

You are a problem density analyst helping me evaluate a market for a new business. Let's analyse this market: [Market name from yesterday's research] First, do comprehensive research:
1. Search Reddit, forums, industry publications, Twitter/X
2. Look for all problems and complaints in this market
3. Find discussions from the last 6 months
4. Identify problem patterns and connections Then use these specific tactics to go deeper: "Day in the Life" posts:
- Search: "day in the life of a [profession]", "typical day", "my workflow"
- These reveal hidden problem chains Rant/Vent posts:
- Search: "rant", "vent", "frustrated", "is it just me"
- Look for high engagement posts with emotional language Workaround posts:
- Search: "workaround", "my hack for", "how I deal with"
- Complex workarounds signal valuable problems Create a complete problem map showing:
- ALL problems you find (big and small)
- How problems connect to each other
- Frequency (daily/weekly/monthly)
- Emotional intensity (include exact quotes)
- Time/money costs mentioned
- Current solutions and their limitations Look for at least 15-20 different problems or pain points. Show me where problems cluster together and create compound frustration.

Run this for each of your top 3 markets, one at a time. Quality beats speed.

What to Look For

As you gather this information, you (and your AI) are looking for patterns

High-Density Indicators

• Multiple problems mentioned in single posts

• Problems that reference each other

• Daily/weekly frequency (not yearly)

• Strong emotional language

• People helping each other with workarounds

Low-Density Warning Signs

• Isolated complaints

• Mild annoyance language

• Problems solved with free tools

• Infrequent occurrence

• No follow-up discussion

You can 100% do this work manually. And if you have the time definitely do so. But an AI agent can get a lot of the base level work done for you. I’ve written up that prompt to go deep for you.

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Creating Your Problem Density Map

Here's what a problem map might look like

MARKET: Estate Agents CLUSTER 1: Property listings take forever
- Writing descriptions (2 hours each)
- Photo editing (1 hour each)
- Uploading to multiple portals
- Keeping everything updated CLUSTER 2: Client communication chaos
- Scheduling viewings
- Chasing feedback
- Managing expectations CLUSTER 3: Legal process nightmares
- Chasing solicitors
- Tracking chain status
- Document management

and so on…depending how many complaints and problems there are!

No need to create this manually though. Once your AI is done with the preliminary analysis chain it straight into the next prompt to cluster the problems.

Based on all the problems you found in [market name], create a simple problem map showing: 1. Problem clusters (group related problems together)
2. Time/money cost for each problem
3. How problems connect to each other Format it as:
CLUSTER NAME: [Main theme]
- Specific problem 1 (cost/time impact)
- Specific problem 2 (cost/time impact)
- Specific problem 3 (cost/time impact) Show me 3-5 main clusters. Keep it simple and scannable.

Remember: we're mapping all of this now, but when we build, we'll pick just one problem to solve. We ain’t doing ALL of this in one-shot.

Once you’ve done all this manually read all the reports. This is where we are adding in human judgement. Especially if you have experience in the area and can tell when the AI is talking nonsense.

From you personal analysis you should immediately see one idea that stands out. If not, continue to interrogate the information. Work with your AI. Literally tell it “I’m deciding between these X number of ideas. Please help me with the analysis”.

Be careful here not to use leading language. But if you do then chances are you (subconsciously) already know which idea you want to roll with.

At this point your subjective opinion is allowed back into the room. We locked it outside until now whilst we pulled in the data but now that we are narrowing down to one market we want the enthusiasm.

Your Day 2 Deliverable

By end of today, you should have

1. Deep analysis of your top 3 markets (one at a time)

2. Problem maps for each market (created by AI)

3. Clear winner - the market with the most painful problem clusters, one that you want to serve.

Build in Public Component

Share your problem discovery. Something along the lines of

"Day 2 deep dive into [market]. They're not just complaining about one thing - it's everything:

[Screenshot of your problem map]

One person said: '[actual quote showing frustration]'

This market is dense with problems. Perfect for building a business that can expand over time."

Literally screenshot or video the work you’ve been doing and talk people through the process, what you are thinking and (importantly) what you are feeling.

What's Next?

Tomorrow, we'll take your highest-density market and analyse the competition. But here's the twist - we're not avoiding markets with competition.

Competition is GOOD. It means a market exists. Yay!

Instead we're looking for gaps in their solutions.

Competition validates demand. Your job is to find what they're missing.

But today? Today you're looking for the markets full of complainers. The more problems they have, the better. Find your estate agent friend - the one who can't stop moaning about everything that's broken.

Keep Prompting,

Kyle