I built a football data REST API - lessons from shipping live scores for small a

<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>A live scoreboard looks simple until traffic arrives.</p> <p>The product needs to show current match state, but your backend should not have to answer the same high-frequency

<!-- SC_OFF --><div class="md"><p>I built an AI platform that predicts football matches and tracks its own accuracy. After 265 matches, here's what I found.</p> <p>**The

<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

<h2> I Built an App to Replace Our F1 Prediction Spreadsheet. Here's What I Learned. </h2> <p>Every F1 fan group has one. The shared Excel where someone enters everyone's

<p>Every Monday I'd sit down for our team sync and draw a blank.</p> <p>What did I actually work on last week? How many hours did I put in? Was I in flow or just firefighting?</p>

<p>I've been building this solo for about 14 months and just went live last week.</p> <h2> What it is </h2> <p><a href="https://staticcreation.co.uk" rel="noopener

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