10 Things I Learned Running One of the World’s Largest Communities of Growth Professionals
Here are ten lessons about designing communities that make valuable participation simple, visible and worthwhile.
96 published articles.

Here are ten lessons about designing communities that make valuable participation simple, visible and worthwhile.

Stop treating all customers equally. RFM analysis empowers you to identify your most valuable customers, understand their behavior, and tailor strategies for true business growth. Discover who truly drives your success.

Hiring a startup consultant often fails without clear purpose. Understand the five distinct consulting disciplines, their costs, and evaluate your true needs before you commit. Discover when smart founders leverage specific expertise and when they save their money.

Google's "Preferred Sources" feature reveals a monumental shift: search now prioritizes trusted sources over page rankings. AI systems increasingly evaluate credibility, not just relevance, fundamentally reshaping digital visibility. This changes everything for online presence.

FAQ schema died, but FAQ content is crucial. Google removed the visual reward, not its semantic usefulness. This format helps AI systems understand and cite your expertise, making it vital for modern visibility.

Growth hacking techniques constantly evolve. Discover which strategies still deliver results in 2026, why others failed, and how to identify the right methods for your product. Stop copying old tactics and learn to innovate effectively.

Overwhelmed by email noise, the author stopped reading their inbox. Discover how they now use an AI routine to cut through the clutter, delivering only crucial messages directly to them. Learn how to reclaim your focus from endless email.

Built an AI routine that checks who is emailing me, understands the business context, filters the noise, and sends only the messages that deserve my attention to Slack.

Traditional online communities were built for a different internet. Community 2.0 brings humans and AI together, turning shared knowledge into action.

MCP-first apps change how software is built and used. Discover why the UI is becoming the control plane while AI agents increasingly handle everyday execution.

A step-by-step methodology for measuring how often AI systems cite your brand, with the query set design, sampling approach, metrics and limitations.

Accessing AI data is only half the challenge. Learn how to transition from static Markdown tables to rich, interactive MCP Apps for better data visualization.