After weeks of building in public, I took a step back to define exactly who I want to reach and how to present myself consistently across every platform. Here is the refined ICP and complete profile setup.

I researched how social platforms actually work in 2026 — what algorithms reward, what content formats perform, and how to build a sustainable system across X, LinkedIn, YouTube, Instagram, Facebook, Substack, and Reddit.

Four days of research, one clear lesson: distribution beats features. I thought about building my own email service, then reality hit. Here is what I did instead.

I have six live projects and a few concepts. The problem is not having ideas — it is figuring out which ones deserve more time and which ones need to evolve. Here is how I am mapping what I have built against what the market actually pays for.

After two days of research, the conclusion is clear: focus on Build Fast, Ship Fast, and Teach Fast. Here is why these three categories capture the real money in AI.

Day 2 of the build-in-public series. The framework I am using to pick what to build next, filtered through Day 1 lessons on distribution, niche, moats, and what indie builders actually ship for $10–$99/mo.

A field guide to where AI money is actually being made right now. Who is winning, who is failing, what categories of indie products print revenue, how distribution beats features, and the make-money-online plays that work beyond AI tools.

The journey from observation to algorithmic trading — how I developed custom indicators, solved problems one by one, managed trading psychology, and built a startup around trading insights without any formal training.

A practical breakdown of 1000+ Twitter insights on AI tools, frameworks, and strategies that are reshaping how solo developers and indie hackers build products in 2026.