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themineworks
themineworks

Posted on Edited on Originally published at themineworks.com

The Reddit thread that warned me about a product before the numbers did

Dashboards are always late. By the time churn shows up in a chart, the decision
that caused it was made weeks ago, by users who had already made up their minds
and were talking about it somewhere you were not looking. I got tired of finding
out about problems after they were expensive, so I started reading the places
people actually complain, on a schedule.

The insight is simple. A sentiment score going down tells you something is wrong.
It does not tell you what, and by the time you go find out, the thread has 300
comments. The actual complaint, in the user's own words, is worth more than any
score, and it shows up days before the metric moves.

What I actually did

I run one call that pulls a topic across Reddit, Threads, LinkedIn, news, X and
Google Trends at once:

// tools/call  brand_pulse_report
{ "topic": "Notion" }
Enter fullscreen mode Exit fullscreen mode

On the run I am describing, four of the six sources returned and two came back
empty, so it billed the partial price and told me which two were empty rather
than quietly dropping them. The Reddit section is what I read first, and the top
thread was titled "How Notion is losing its credibility with the Notion AI
pricing mess."

That sentence is the whole point. It is specific, it has a cause, and it was
written by someone who cared enough to post it. No dashboard produces that.

How I turn it into an early warning

  1. Pick the topic. Your product, a competitor, or a category. Whatever you
    need to not be surprised about.

  2. Run it daily and read the top threads, not the counts. The number of
    posts is noise. The content of the loudest thread is the signal. You are
    looking for a specific complaint that keeps recurring.

  3. Watch for a complaint that gains traction. One angry post is nothing.
    The same complaint, phrased slightly differently, showing up across Reddit
    and Threads and LinkedIn in the same week, is a churn driver forming in
    public, and you are reading it while there is still time to respond.

Why this works

People do not fill out your exit survey. They post on Reddit. The most honest
feedback about any product is written by users with no reason to be polite, in
places the company is not officially watching. Getting those posts into a tool
you can read every morning means you find the problem while it is still a
thread, not after it is a trend in your revenue.

The same call points at a competitor works in reverse. Their unhappy users are
describing, for free, exactly the thing you should build.

Honest limits

This reads public posts only. No private groups, no DMs. On the run above, X and
Google Trends came back empty, which happens, and the tool says so rather than
pretending otherwise. And it hands you the posts rather than a sentiment score
on purpose, because your own reading of a real complaint beats a lexicon
counting positive and negative words.

The tool is the Social & Market Research MCP
from The Mine Works, on Apify with your own account. It bills only for the
sources that return, so a quiet topic costs almost nothing and an empty one
costs nothing at all.

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