Reflections on 1,000 Days of Math

Gabe Mays reflects on reaching 1,000 consecutive days of doing math through Math Academy, describing how he progressed from basic Math Foundations (MF1) up into MF3 and then M4ML (Mathematics for Machine Learning). He explains a key mistake: limiting sessions to under 20 minutes and routinely checking answers or peeking at notes, which hid weaknesses from the adaptive system and created gaps. After recognizing the problem he reset his progress and repeated material, which produced a noticeable jump in intuition, higher quiz scores, and enjoyment. The reset validated that doing the hard, unshortened work builds necessary prerequisites and deeper understanding.

Beyond technique, the daily habit produced concrete life changes: clearer decision-making around investing that coincided with achieving financial independence in his late 30s, a stronger tolerance for challenging mental work, and confidence to build real products. He lists examples - mobile apps in React Native and Swift, a Meta wearables tool for hands-free queries - and describes how daily math combined with modern AI feels like a multiplier. His kids, exposed to the habit from toddlerhood, now enjoy math and embrace struggle. He also built small tools to support the practice - a habit tracker called Main Character and Mathy, a free iOS/web drill app for quick practice - and intends to keep going.