Hi Reader,

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

We recently built an MVP in a few hours. Not because we got lucky, but because three specific things came together that most teams don't have.

1. We already knew the tech.

No time wasted evaluating tools or reading documentation. We've been building with MCP long enough to know exactly how to deploy it. That familiarity alone cuts days off a project. When you're not learning on the job, you're shipping.

2. We used our own platform.

Hal9 is basically Lovable — but for AI. We can spin up a prototype, point it at a social media endpoint, and have something working in hours instead of weeks. That's the whole point of building your own tooling: you remove the friction that slows everyone else down.

3. Senior AI developers finished what the AI couldn't.

This is the part people don't talk about enough. AI got us 80% of the way there. But then we hit a wall — OpenAI was blocking the MCP provider we needed. Our team spent two hours diagnosing the issue, switched from MCP to tool calling, and got it working.

Here's the takeaway: AI is like a really capable junior dev. It can move fast and handle a lot. But you still need experienced people to steer it when it gets stuck.

That combination — deep expertise, purpose-built platform, and senior developers who know when to take the wheel — is why we can deliver in days what used to take a month.

Speed doesn't come from cutting corners. It comes from knowing exactly which corners to turn.

Founder Case Study: HYPD

HYPD is connecting people with authentic local experiences — think trivia nights at neighborhood bars, pop-up events, hidden gems your algorithm would never surface. Founder Harrison Rolfes had already validated the concept with a no-code prototype built on Lovable. The idea worked. Now he needed to build the real thing.

The Challenge: Transition from a proof-of-concept to a production-ready platform that could support event listings across launch cities like Seattle and San Diego — all while laying the groundwork for future AI-driven curation. HYPD needed specialized expertise in backend infrastructure, API integration, and polished UX design, and they needed it fast.

What Hal9 Built:

🚀 A dynamic web application with real-time event data integration across multiple cities — delivered in 30 days

🎨 An intuitive, minimal user experience designed for early adoption, with architecture ready to scale into business-facing features

📱 A polished, deployable prototype that became a centerpiece of HYPD's investor pitch deck

🤖 A structured technical roadmap for integrating AI-driven event curation as the platform grows

The Result? HYPD launched with a web app that let users discover local events and businesses in their neighborhoods, driving engagement in targeted markets. The quality of the UX design strengthened Harrison's fundraising efforts, and the hand-curated MVP attracted early users while setting the stage for AI-powered recommendations down the line.

"We proved the concept with a no-code MVP. To build the scalable, real-world version at the speed we needed, we partnered with Hal9."

— Harrison Rolfes, Founder @ HYPD

Let’s Talk

Got an AI idea/building something and want to chat about it?

Book a free consultation with Javier — he’ll help you validate it before you build, so you don’t lose time chasing the wrong version.

Talk soon,

—The Hal9 Team