From AI Apps to Freelancing Success: A Developer's Pivotal Shift
business#ml📝 Blog|Analyzed: Feb 21, 2026 15:48•
Published: Feb 21, 2026 13:49
•1 min read
•r/learnmachinelearningAnalysis
This story offers a refreshing look at the challenges and triumphs of building AI applications. The developer's transition to freelancing highlights the value of market-driven skills, showing how quickly opportunities can arise once a product aligns with real-world needs.
Key Takeaways
- •The article documents the experience of building and launching multiple Machine Learning (ML) applications with zero revenue.
- •The developer found success through freelancing, emphasizing the importance of aligning skills with market demand.
- •The project highlights the difficulty of distribution and finding product-market fit for early-stage AI products.
Reference / Citation
View Original"I spent about 8 months building ml side projects and I genuinely believed one of them would take off. None of them made a dollar. not a single transaction."