What I’ve Learned in 30 Days of Writing Intelligent Products
🎉 30-Day Checkpoint – Real Numbers, Real Lessons
One month ago, I launched this newsletter with a simple goal:
To explore how intelligent products are built, not with hype, but with clarity, data, and strategy.
Today marks 30 days here.
Here’s where things stand:
👥 120 subscribers
👀 3,286 total views
💌 52.82% open rate (way above industry average)
These numbers are not explosive.
But they’re real. And they represent people, thoughtful, curious readers like you, who chose to tune in. That means everything.
Here’s what I’ve learned in 30 days:
Start simple. Improve as you go.
Your best post is probably your clearest one.
People don’t want more AI hype, they want clarity and how it can be beneficial
You learn faster in public, it creates a rhythm, and accountability not just for output but reflection. Every research, draft, posts and episode became a learning loop of its own.
Small but active audience, bring big signals with feedback loop
Products of the future must learn with data
Good questions matter more than good answers. In interviews or prompting, curiosity unlocks the best insights.
Momentum doesn’t come from virality, it comes from showing up and being consistent.
The most rewarding part so far?
The engagement.
The quiet read and shares.
The “This made me think differently” or “Thank you for sharing this” notes and more.
So thank you.
Whether you read one post or all of them, I appreciate you.
📌 What’s next?
I’m going deeper into how Data and AI is changing product design, what “intelligence” really means in products, and how you can use AI for impact.
I will leave you with this: Kaizen - The quiet power of continuous improvement. A little better everyday.
Here’s to the next 30.
– Rode
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