🧭 I Built an Offline Navigation System Using a Local LLM (No Cloud, No APIs)

<p><em>Have you ever tried to drag a map on your phone while carrying groceries? Or tried to annotate a field survey map while wearing gloves? Traditional GIS UIs assume you

<p>Most apps assume you're always online. But 3.4 billion people have unreliable or no internet access.</p> <p>I'm a full stack developer based in the Dominican Republic. One of

<p>Let's be real: the current AI coding workflow is tedious. </p> <p>You hit a bug. You copy your code. You tab out to ChatGPT/Claude. You paste it. You copy the fix. You paste it

<p>Eight months ago I was frustrated. I do strength training, <br /> running, and BJJ — and I needed three different apps to <br /> track everything. Strava for runs, Strong for

<p>As a solo developer, the biggest bottleneck isn't usually the ideas—it's the time required to execution. Recently, I wanted to launch a suite of free web tools for developers

<h1> Local Models vs Cloud Models — The AI Advantage Is Moving From Access to Infrastructure </h1> <h2> Core thesis </h2> <p>AI is no longer new.</p> <p>The question isn't

<p>Hey folks! 👋<br /> As a solo developer building for the global market, balancing performance, shipping speed, and server costs is always a tricky triangle. Recently, I launched

<p>When we started building a Point of Sale (POS) system for restaurants, we assumed one thing:</p> <p>Internet will always be available.</p> <p>That assumption didn’t last