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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. Javier's Insights: AI Products We're Dying to See BuiltToday, I wanted to give more of a fun insight. With how powerful AI has become, there’s still much to be desired. Here are four AI startup concepts I'm surprised nobody's tackled yet: 1. AI-Powered LEGO Design Generator Picture this: describe any scene—a memorable movie moment, your favorite video game level, even a childhood memory—and AI generates complete LEGO building instructions. The magic happens when it automatically connects to marketplaces like BrickLink, sourcing and shipping the exact pieces you need. From creative prompt to your doorstep, fully automated. 2. Smart EV Charging Optimizer Electric vehicle charging costs swing wildly—sometimes 2-3x depending on timing and location. An AI app that integrates with your calendar, learns your driving habits, and recommends optimal charging windows and stations could save EV owners hundreds yearly while eliminating range anxiety. 3. AI Meal Planner with Auto-Delivery A cooking companion that actually handles the hard part. Share your health objectives, dietary needs, and schedule—it designs your meal plan and automatically orders ingredients through services like Instacart. No decision paralysis, just smart nutrition on autopilot. 4. Personalized Supplement Advisor Over-the-counter health guidance remains frustratingly generic. An AI platform that examines your health profile, lifestyle patterns, and goals to suggest specific vitamins and supplements—then adapts recommendations as your situation evolves—could transform preventive healthcare. These aren't just ideas—they're products I'd happily pay for. The best startups solve problems their founders experience firsthand. What AI product is missing from your daily life? Customer Success Story: MoneyHavenHow Hal9 Helped Launch an AI-Powered Fintech App in Under 30 Days MoneyHaven is modernizing the "tanda"—a traditional Latin American communal savings model—for the U.S. market. Their vision? Combine cultural financial practices with AI to help users combat overspending through collaborative savings groups. The Challenge: MoneyHaven needed to validate whether AI could meaningfully enhance the tanda experience. They had just 30 days to build a functional MVP that would test:
The pressure was on to prove feasibility fast, without burning months on the wrong approach. The Hal9 Solution: Using the Hal9 Platform optimized for rapid generative AI development, our team delivered a working prototype in under 30 days that included: ✅ A prototype web app for defining savings goals, payment schedules, and group configurations The Results: In less than a month, MoneyHaven validated their entire technical vision. The MVP's custom chat, AI-powered interactions, and seamless backend connectivity established the foundation for a scalable, production-ready platform. They're now positioned as innovators in fintech with a clear roadmap for their fully-featured AI savings platform. "Hal9 helped us turn complex ideas into a working prototype in just weeks. Their platform gave us the speed and flexibility to validate our architecture, explore AI integration, and build a strong foundation for our product." Let's TalkWondering if your AI idea is ready to build? Or need help validating your architecture before investing months of development? Let’s talk. — we'll help you identify the fastest path from concept to working prototype. Talk soon,
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Each week we share insights from our founder Javier, spotlight real customer stories, and keep you updated on what’s happening at Hal9 and beyond. Looking forward to staying in touch.
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...
Hi Reader, Happy New Year from Hal9! 🎉 Welcome to the first Hal9 Weekly of 2026 — insights from our founder Javier on turning AI ideas into real products. As we kick off the new year, we're excited to share practical frameworks, founder stories, and what we've learned from helping startups ship faster. Javier's Insights: How We Tripled Our Customer Base (And What Actually Mattered) This past year, we tripled our customer base at Hal9. But honestly? That's not what I'm most proud of. What...
Hi Reader, Welcome to Hal9 Weekly — insights from our founder Javier on turning AI ideas into real products. Each week, we'll share practical frameworks, founder stories, and product updates to help you build faster. Javier's Insights: Vibe coding is awesome for getting started fast. But there are three places where founders hit a wall. We see this constantly when people ask us for help building their AI MVP—someone uses Lovable or another no-code tool, builds something that works, then gets...