The result?
Copycat content — the same ideas, phrased 10 different ways.
Let’s take an example.
Say you’re writing content on “Python career.”
What do most writers do?
They Google the term, skim the first 3–5 blog posts, maybe glance at People Also Ask, and stop there.
But here’s the issue:
👉 Everyone’s reading the same surface-level advice
👉 Everyone’s quoting the same sources
👉 Everyone ends up creating the same content
It’s no surprise we keep seeing copycat articles with little originality or depth.
That’s exactly why I built Audience Research Assistance.
Instead of relying on search volume alone, this tool helps you uncover real conversations and emotional pain points from platforms like:
- Quora
- Stack Overflow
- Substack
- Indie Hackers
- Hacker News
- Product Hunt forum
These platforms are goldmines of insights — but most writers don’t even realize the value buried in the comments, threads, or newsletters.
With this tool, you get one clean interface to:
- Find content angles no one’s written about
- Hear how your audience actually talks
- Turn community questions into high-converting content
What’s next?
I’m building a timeline filter (starting with Reddit/Quora) and alerts for new discussions— so you can jump in before the conversation goes cold.
The tool is 100% free (for now).
🔗 The link is in the first comment 👇
Would love for you to try it out and share feedback.
contentwriting contentwriter research audienceresearch topic research
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