Categorizing Work: Random Experiments, Learning Products, and Revenue Projects
mobileraj · x · 2026-08-20
The author divides their work into three buckets: 1) Random productivity hacks or experiments, often done on weekends and pushed to GitHub if useful; 2) In-depth products built for learning and testing AI workflows without a profit motive, like GPT Food Cam; 3) Revenue-generating projects targeting specific verticals with clear users and willingness to pay.
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