Hi Reader,

Welcome to Hal9 Weekly — insights from our founder Javier on turning AI ideas into real products.

Each week, we share practical frameworks, founder stories, and product updates to help you build faster and smarter.

Javier's Insights:

5 Fatal Mistakes When Vibe Coding Your AI MVP

I see non-technical founders making the same mistakes when they vibe code their AI MVPs. Here are the biggest ones:

1. Fake Data​
Your demo looks amazing because you're using dummy data. Then you plug in real user data and everything breaks. Test with real data from day one.

2. Too Many Features​
Vibe coding makes it so easy to add features that you end up with 20+ things crammed into your MVP. Now it's cluttered, hard to explain, and impossible to maintain. Pick ONE core feature and nail it.

3. Security Holes​
When you're vibe coding, you're not thinking about access control or data protection. We've seen some pretty serious vulnerabilities that could have been avoided with basic security practices.

4. No Version Control​
The app breaks. You can't roll back. Everything stops working. Use version control from day one—it's not optional.

5. Generic Products​
Everyone can vibe code now, which means every product is starting to look and feel the same. Same sign-in flow. Same layouts. Zero creativity. Your product blends into the noise.

The Reality:​
Founders optimize for speed but forget to optimize for usability, security, and actually delivering value with real data.

Speed matters. But shipping fast doesn't mean shipping broken.

Which of these have you run into?

Founder Case Study: Greenny

AI-Powered Carbon Credits in Two Weeks

Greenny is revolutionizing carbon credit markets by making environmental impact measurement accessible through AI. As a new startup, they faced a critical challenge: build a working prototype fast enough to impress customers and investors—without sacrificing accuracy or scalability.

The Challenge:​
Create an AI-powered carbon credit computation system that's accurate, transparent, and scalable, all while racing against an aggressive market entry timeline. Traditional development was too slow.

What Hal9 Built:

In just two weeks, we delivered:

• 🤖 AI-powered carbon credit calculator trained on real emissions data
• 📊 Interactive Streamlit interface for live customer demos
• ☁️ Cloud-based API for seamless platform integration
• 🔒 Secure, scalable architecture ready for production

The Results:

✅ Demo-ready product in 14 days—Greenny's fastest development cycle ever
✅ Impressed customers and investors with accuracy and usability
✅ Accelerated fundraising and customer acquisition
✅ Positioned Greenny as an innovator in carbon credit markets

"Hal9's platform was a game-changer for Greenny. We started showcasing our AI-powered carbon service in just two weeks."​
— Antonio Anguiano, Founder @ Greenny

Greenny now has a competitive edge with a solution that's both functional and ready to scale.

Let's Talk

Building an AI MVP and want to avoid these mistakes?

Book a quick call with Javier — he'll help you validate your idea and build something that actually works with real data.

Talk soon,

—The Hal9 Team