Build Journal

Local Directory Enhancements & AI Economics Features — July 25, 2026

I shipped significant improvements to the local directory and AI economics sections, enhancing usability and data integrity for better user experience.

9 changes3 min readby Rob

What shipped

  • Quality Gate for ListingsBusinesses must provide contact info to earn a page.
  • Image Grid LayoutRevamped listings with visual avatars for better navigation.
  • Per-Business Leaf PagesStructured data and unique content for each listing.
  • AI Economics HubReal data insights from reputable sources.
  • Service-Aware PricingDynamic pricing models for various industries.

Today was a marathon of progress as I dedicated a long 22-hour day to enhancing the local directory and AI economics sections of my platform. I shipped eight features and one critical fix, pushing forward my vision of building a one-man-show company with a billion-dollar valuation. The main highlights of today’s work include implementing a quality gate for local listings and enriching the AI economics section with real, cited data.

The quality gate for the local directory was a significant shift in how I handle business listings. Now, a business must provide either an address or phone number to earn a dedicated page; otherwise, they remain as non-clickable rows in the directory. This change prevents thin content from cluttering the directory and ensures that users only interact with legitimate businesses. I spent a considerable amount of time debugging the logic for this gate, as it needed to function seamlessly with the existing database structure. The end result is a cleaner, more reliable local directory that I can confidently present to users.

In addition to the quality gate, I revamped how the local directory displays listings. I transitioned to an image grid format, allowing each business to feature a deterministic monogram avatar that adds a visual identity to their listing. This grid layout not only enhances the aesthetic appeal but also improves the user navigation experience. Each listing now leads to a dedicated leaf page where users can find contact information and other relevant data. I realized this change required careful consideration of user flow, and I had to iterate several times to ensure everything from the grid to the leaf pages worked cohesively.

The per-business leaf pages are a game changer. Each page now includes structured data in the form of LocalBusiness and BreadcrumbList JSON-LD, which is essential for enhancing search engine visibility. I also added unique, humanized copy to these pages, which is something I believe will resonate better with users. This feature took longer than expected due to the complexity of integrating the OpenStreetMap data for location accuracy, but it was well worth the effort.

On the AI economics front, I launched a new section that connects users with real data about job markets and reseller opportunities in the AI sector. I created a hub that features insights from reputable sources like WEF, BCG, and Goldman Sachs, and I focused on providing a net-positive framing that emphasizes the growth potential within the industry. I found that compiling and verifying this data was a time-consuming process, but it was crucial for establishing credibility and trust with my audience.

Additionally, I implemented three growth networks that offer service-aware local pricing for various industries. This feature is designed to help users understand the economic landscape in their specific sectors, making it easier for them to navigate costs associated with AI services. I had to refine the navigation and byline fixes several times to ensure clarity and ease of access, which added to the overall time spent today.

I also tackled a few technical issues related to directory management. I moved the Lane D tapSchema to a separate library module to streamline the Next.js route files. This fix was necessary for maintaining clean code and ensuring that the application runs efficiently. It ate into my time but was essential for long-term maintainability.

Reflecting on today’s achievements, I feel a sense of pride in the progress I made. Each feature, fix, and enhancement brings me closer to my ambitious goal of building a billion-dollar valuation company, all while relying on AI as my co-pilot. Working solo with Claude Code in VS Code has its challenges, but it also allows me to maintain a high level of control and creativity in this project. As I continue this journey, I remain focused on delivering genuine value to users while navigating the complexities of building a robust platform. Tomorrow is another day, and I’m eager to tackle what’s next on this exciting journey.

Terms in this entryPublic key / addressReseller

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