How to Validate Business Ideas in Just 5 Minutes

Hi,

If you have ever wondered what it would be like to create something that was invented in your head, then you have come to the right place. The prospect of creating something of your own is very appealing and exciting.

I myself decided a few years ago to try my hand at creating something of my own from scratch. Looking back, I wonder why everyone doesn't try to turn their ideas into projects that work and make money. It seems to me that the main factor is the time we have to invest in an idea without the certainty of success, time which we always have too little of and which is the most precious of our resources.

And it was time that was the main motivation to create Cresh, which allows us to quickly validate an idea and research in literally minutes.

The best way to understand how this app works is to use a real-life example. This will show you how easy and fast it is to assess your startup concepts.

The Business Idea: Dog Tinder

A friend of mine decided to learn programming, so we decided not to teach him with dry examples, but to start a project that would have a chance of being realised.

The idea is simple:

✅ The app allows users to browse dogs available for adoption.

✅ Shelters (or anyone) can upload dogs in need of a home.

✅ If you like a dog, you swipe right. If it's a match, you get the shelter's contact details.

✅ The goal? To make adopting a dog as fun and easy as possible.

However, I began to wonder if the idea had a chance of success, what its strengths were, what the situation was with competition, functionality, etc.

I would now like to show you how I carried out the analysis with Cresh and what conclusions I drew from the results.
You can find the analysis here: Cresh Analysis

What is Cresh and how does it work?

Cresh is an AI-based tool that, based on a project description, generates 33 metrics with a score from 1 to 5. Each is accompanied by an explanation and suggestions. The metrics are grouped into 5 categories that allow you to look at different aspects of the project.

In my quick analysis, I focused on the numerical values to identify weaknesses for which I checked the explanation. This allowed me to quickly understand the context and market of the project, as well as potential threats and opportunities.

5 minute conclusions

1. Market Viability Group

📊 Is there a demand?

• Yes, there is! People love dogs, and shelters are full of them.

• Adoption is a long-term trend—there will always be dogs needing homes.

• People already use online platforms to find pets. This just makes it more appealing.

2. Market Strategy Group

🚀 Are we reaching the right audience?

• Finding shelters to partner with should be easy. Every neighbourhood has one.

• The challenge? The competition. It's not a hard idea to copy. A bigger company could start the same thing overnight.

3. Product Viability Group

💡 Can we make a great product?

• Absolutely! A simple, user-friendly design can make it fun.

• The product itself isn't the problem - scaling is.

4. Technical Viability Group

🛠 Is it easy to build?

• Basic version? Yes, quite simple.

• But if we want to stand out, we'll need a lot of integrations (shelters, adoption agencies, vet services, etc). That's where it gets tricky.

5. Risk & Finance Viability Group

⚠️ Is there any risk?

• The biggest risk: Another company comes up with the same idea, but better.

• Scaling requires a lot of effort (new markets, partnerships, automation).

• High investment required to make it big.

The Verdict: A Cool Idea, But Hard to Scale

So, what did I learn?

• Dog Tinder is a fun, marketable idea.

• It’s technically possible, but real success would require serious partnerships.

• Competition is a huge risk—big platforms could quickly take over.

• Scaling is the hardest part—lots of integrations, moving into new markets, and gaining user trust.

• Early adopters - go to nearby shelters and ask if they would be interested in cooperating. Try to find contact with local authorities for support.

Would I build it? Maybe. But I’d need a clear strategy to differentiate it from the competiton and secure partnerships early on.

Comments

[Marek Puchalski]

May not be the next uber but who knows? With enough venture capital backup one could do wonders.

[Dima Sudoma]

What is the difference with just asking the same in AI?

[Arti Kondziela]

good question, at the moment Cresh provides 3 benefits compared to a normal ChatGPT conversation:

• it has built-in business intelligence - we have developed a framework of 33 metrics divided into 5 categories. You can look broadly at your idea
• speed of action - each metric is at least one prompt that happens simultaneously. A few minutes vs hours of prompting
• latest models - we use the latest and fastest models.

You might be interested in our next development plans. We would like to expand the analysis to include internet searches for articles and scientific publications. You will then have a complete survey of the internet and scientific papers in the form of an analysis with metrics and sources attached.

[Fyodor]

That’s a question for 90% of the modern AI startups 🤣

[Kacper Kaciłowicz]

It’s just amazing how Cresh looks at your idea from different perspectives and quite precisely points out challenges that one should expect. 💡🤔 Love this app! ❤️