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Hi, it's Pierre here
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What you need to know to capitalize on the AI boom

DOCUMENT 1/12
A list of real AI businesses with proven revenue success
If you want to build a successful AI business, the best place to start is by looking at what's already working. I've pulled together all the AI businesses with proven results, sharing their numbers (revenue, margins, customers, etc.) and my take on why they succeed, plus what you can learn and replicate from them.

DOCUMENT 2/12
A list of AI businesses that were acquired successfully
A lot of you want to build a business with the goal of selling it later for a good multiple. Then, it would be a very good idea to look at what's already been sold and for how much. Then, you can see the kinds of businesses big companies and institutional funds are interested in. I've put them all here.

DOCUMENT 3/12
A list of industries where AI adoption is still low
There are plenty of "unsexy" industries where AI is still missing or poorly used. That's where real opportunity lies. I'll show you which ones, as well as the reasons why there is no one, and you can decide if you want to go after them.

DOCUMENT 4/12
A list of areas already saturated with AI businesses
You've probably seen people launch AI chatbots for e-commerce or photo apps for influencers. Those spaces are already crowded, and there are a few other industries just as saturated with AI businesses. I don't want you to spend months building something that will be invisible, so I'll show you which markets to avoid, backed by real data, not just my opinion.

DOCUMENT 5/12
A list of strategic mistakes early AI founders often make
Every time I see a failing AI business, the landing page, social media channels and features usually reflect the exact same mistakes. It's crazy how people keep falling into the same traps. It would be so much easier to avoid them if you know them upfront ... so I've made this list, with real examples to show what goes wrong.

DOCUMENT 6/12
A list of AI communities where you can learn with other founders
I'm not affiliated with any of these, but I think they're great AI communities to find support and exchange ideas with other builders ... whether they're struggling or succeeding. I've also noted which ones I personally prefer.

DOCUMENT 7/12
A list of "build in public" founders with AI credibility
Following AI founders who build in public is a smart idea because you directly see their real struggles and wins, you pick up a couple of practical tips you can actually use, and also catch new AI trends quite ahead of the rest of the market. I've put a full list of these guys here so you can follow them.

DOCUMENT 8/12
A list of ways to test if customers will pay for an AI solution
Never start building if you're not sure people will pay for it. Gut feeling isn't enough. The good news is you don't need to spend tons of time or money to find out. There are simple hacks to quickly test if your AI solution has demand. Everything is here.

DOCUMENT 9/12
A list of AI businesses with proven success in distribution
Distribution is often 90% of the game. Even the best AI product won't sell if nobody sees it. The good news is, you don't need to guess, just study what the smart guys on X, LinkedIn, Instagram, TikTok, and others are doing, then adapt what fits your business. I've collected everything I've observed over the past year here.

DOCUMENT 10/12
A list of repeatable growth strategies proven in AI businesses
Not all AI businesses grow the same, mostly because audiences and products differ. But, I've seen some patterns and strategies that keep showing up in the ones that succeed. They're not always obvious, and sometimes even counterintuitive, which is why most builders never try them. Let me show you what they are.

DOCUMENT 11/12
A list of costly marketing tactics with poor ROI in AI
Don't go throwing $500 on some broad useless Google ad campaign, don't hire that influencer with fake followers, etc. You already know you shouldn't do that, but you don't really know how to spot it before it happens. Luckily, there are signs that never fail. I've put them all here.

DOCUMENT 12/12
A list of skills you need to become a technical AI founder
If you want to earn that badge of "technical AI founder," there's a hill you'll have to climb. It's tough enough already, so no need to waste extra hours getting lost. Here's a clear roadmap to get you there as quickly as possible.
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Pack Pro
- AI businesses with proven success
- AI businesses that got acquired
- Industries with low AI adoption
- Oversaturated industries
- Common strategic mistakes
- Top AI communities
- "Build in public" founder list
- How to test if customers will pay
- AI bizs who cracked distribution
- Repeatable growth strategies
- Costly and bad marketing tactics
- Skills for technical AI founders
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Pack Pro+
- AI businesses with proven success
- AI businesses that got acquired
- Industries with low AI adoption
- Oversaturated industries
- Common strategic mistakes
- Top AI communities
- "Build in public" founder list
- How to test if customers will pay
- AI bizs who cracked distribution
- Repeatable growth strategies
- Costly and bad marketing tactics
- Skills for technical AI founders
Get 10% off with the code PIERREBUILDER
Pack Pro++
- AI businesses with proven success
- AI businesses that got acquired
- Industries with low AI adoption
- Oversaturated industries
- Common strategic mistakes
- Top AI communities
- "Build in public" founder list
- How to test if customers will pay
- AI bizs who cracked distribution
- Repeatable growth strategies
- Costly and bad marketing tactics
- Skills for technical AI founders
Get 10% off with the code PIERREBUILDER
Questions?
I update these guides almost everyday. AI moves really fast.
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If there is any problem, you can email me (pierre@iunderstandai.com) and I'll answer super fast. You can also find me on X.
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