How Achiv finds the right subreddits for your product — moat #1

Achiv's superpower is deep market analysis that isn't possible with any classic AI chat, and here's why.

Once your project is created (it's free to try, you can check yourself), Achiv starts deep market research based on Reddit users' posts and synthesizes your project's ideal customer portrait. The goal: find where you can reach your target audience.

But how do you identify such a place? It's no secret that Reddit is widely used to ask questions, vent about problems, and discuss solutions. So I built a pipeline that looks for posts where people discuss the problems your product solves. Questions, stories, discussions — everything that matches your offer.

After the system identifies these posts and retrieves a customer portrait for each author, an LLM + vector search performs a qualification step to filter out mismatches and noise, and to extract the exact citations of problems users mentioned on Reddit.

Every subreddit is logged. More users = stronger signal.

If you ask an AI to find the best-matching subreddits for your product, it will give you very basic results based on subreddit descriptions.

Achiv surfaces data-proven communities — ones you can promote in with content or even Reddit paid ads.

The pipeline is 4 steps and reflects all of my 13 years working with data. That's moat #1.

Tomorrow I'll explain how Achiv handles the problem citations it extracts. That's moat #2.