where-my-customers-are
Skill1 starsChanged 27 days agoMITView on GitHub
Finds the online places where a founder's customers spend time and talk about their problems, such as subreddits, forums, Discord and Slack groups and niche communities, and checks each one is real and worth the time. Use when a founder asks where to find customers online, which subreddits to post in, how to find niche communities, or where their audience hangs out.
In this repository15 other files it gives its agents.
- alert-wordsSkill
- ask-for-an-introductionSkill
- customer-interviewSkill
- daily-fiveSkill
- expert-to-skillSkill
- find-one-personSkill
- first-messageSkill
- one-line-pitchSkill
- readiness-checkSkill
- reddit-reply-not-pitchSkill
- research-one-personSkill
- show-hn-launchSkill
- update-that-earns-a-dmSkill
- who-buys-from-meSkill
- why-they-said-yesSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Search for the complaint: Search the phrases they'd use, on Google and inside the platforms themselves.
- Distinctive: line 42
Only recommend places you've confirmed exist.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Where my customers are
There's no best platform. There's only where your customer already is.
"Should I be on LinkedIn, X or Reddit?" is the wrong question. The useful one is: where does this particular person spend time, and where do they say out loud that they have this problem? The answer is often somewhere no marketing guide mentions.
What you need
- Who the customer is. Run
who-buys-from-mefirst if it isn't clear. - A few phrases they'd use when describing the problem.
Steps
- Think about their life, not your product. Your product sits in a category. Your customer has a job, hobbies, tools they use every day and people they follow. A tool for indie game developers is found where game developers talk about making games, not where people talk about marketing tools.
- Search for the complaint. Search the phrases they'd use, on Google and inside the platforms themselves. Note where the results come from. The communities that keep appearing are your shortlist, including ones you'd never have guessed.
- Open each one and read. Are the people posting there the kind of people who'd buy, or are they mostly students, hobbyists or others selling the same thing? Is it active this month? Does anyone describe the problem in their own words?
- Read the house rules. Many communities ban self-promotion or links. Note what's allowed before you post anything.
- Pick two. Depth beats breadth. Two places where you show up properly beat ten where you post once.
Output
Places worth your time:
1. <place> · <why the right people are there> · <what they talk about> · <promotion rules>
2. ...
Start with: <the first two, and the first useful thing to do in each>
Looked right but skip: <places, and why>Rules
- Only recommend places you've confirmed exist. If you can't check, say so.
- Smaller places where your customer is active often beat big platforms, where reaching people without paying is hard and your following belongs to the algorithm.
- Spend a week reading a community before you post in it. Learn how people talk there.
- Give before you ask. The best communities notice who helps.
With MyPip (coming)
MyPip searches thousands of communities every day for people who are ready to buy. When the MyPip MCP is live, this skill will be able to show you where your best matches came from.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

