A community growth hack: AI + social listening for GeoMinesweeper
A small case study — using AI and social listening to pull real traffic and users into GeoMinesweeper. Value first, promotion second.
A case study on using AI and social listening to pull traffic and users into GeoMinesweeper.
Context and pain point
I've been building a small Minesweeper project (geominesweeper.com). Exploring the community on Reddit, I noticed a recurring pattern — posts shaped like:
"I'm stuck here. What should I do next?"
People share a screenshot of their board and ask what to play next.

The problem: both the asker and the answerers tend to explain in plain text or rough hand-drawn overlays. Something like this:



The friction:
- For beginners these explanations are hard to picture — pro players usually solve their own boards and don't post for help.
- A static board only carries you so far. What comes next depends heavily on which cells open up after the first move.
If you could:
- Recreate the board
- Highlight the logic
- Replay the moves step by step
then understanding the solution would be much easier.
The idea
I put together a simple workflow:

It's not fully automated yet — there's a human in the loop. End-to-end automation is possible in theory, but for an experiment manual is fine as long as it stays under 15 minutes per run.
If it works — users get real value, traffic shows up — I'll think about automating the whole thing into a flywheel.
The solution
Social listening
- Poll RSS feeds frequently for the freshest signal.
- Use an AI model to classify which posts are "need help" posts.
Recreate the board
- I built an admin tool: upload the screenshot, detect the grid, rebuild the board state.
- The image processing is basic — grouping pixels by dominant color. Cells like
1,2,3, flag, and blank each have distinct color profiles, so no OCR was needed.

Solver
- A BFS pass to "scatter" mines into the unrevealed cells.
- Obviously there are many valid solutions and I can't know the user's real mine map, but I only need one consistent layout for the demo.
End result: the board recreated from the user's original screenshot.

A note on the replay: I added an annotation tool that makes the reasoning steps visible — for example, showing "if this cell is a mine, then that one is safe."
Output
When I reply on Reddit, it can be as simple as:
I recreated your board and made a replay explaining the logic here: [link]
The asker can watch the replay and follow the logic:

…then try to solve the board faster than I did:

…and they may poke around the rest of the site out of curiosity:

Why it worked
A few factors I think made this work early on:
- Real need — the poster is genuinely stuck, and the follow-up actually solves their problem.
- Timing — replying within the first 15 minutes of a post gets disproportionate attention. That's the payoff from social listening.
- Visual explanation — a replay is dramatically clearer than a text description or a rough sketch.
Sample size is still small, so I'd only call this an early signal.
Closing thought
- The workflow forms a natural growth loop.
- People post questions every day → there's a steady reason to pull traffic every day — a kind of content strategy.
- The important part: value first, promotion second.