How to Get Your First 10 Paying Customers for Your SaaS

A Reddit question I posted received 100 replies.

I asked founders to share what they were building and their biggest distribution challenge. I tried to answer every person supportively. Those replies created real conversations, showed me how founders described their problems, and gave me a much better understanding of where people were getting stuck.

But 100 replies are not 100 customers.

This distinction matters because it is easy to group every positive signal together. A view, a reply, a waitlist signup, a trial, and a payment can all feel like progress. They are progress, but they do not prove the same thing.

If you are trying to get your first 10 paying customers for your SaaS, the goal is not to push ten people through a checkout page. The goal is to find ten strong examples of a customer, a problem, a promise, and a result that belong together.

That is how the first payment becomes something you can learn from instead of a notification you celebrate and then struggle to repeat.

1. Decide what your first paying customer actually proves

A payment is stronger evidence than a compliment because the customer gives up something real. But one payment does not prove that you have found a repeatable market.

A friend buying to support you is different from a stranger buying because the problem is urgent. A lifetime deal is different from a monthly subscription. A customer who needed hours of custom work is different from someone who reached value through the product you actually want to sell.

None of those sales are meaningless. You simply need to label the evidence honestly.

For every early payment, write down:

• Who paid?
• What was happening when they started looking for help?
• What were they doing before they found you?
• Which promise made them willing to try?
• What did they need to see before paying?
• How much help did they need to reach value?
• What would give them a reason to return next month?

I know what you may be thinking. When the first payment arrives, do I really need to interrogate it this much?

Yes, because the number alone cannot tell you what to repeat. The context can.

2. Choose one customer with one urgent problem

The fastest way to make your first customer search confusing is to describe the customer too broadly.

“Small businesses” is not a useful starting point. Neither is “SaaS founders.” Both groups contain people with different priorities, budgets, workflows, and reasons to ignore you.

Begin with one sentence:

We help [specific customer] who is [dealing with a visible situation] achieve [important result] without [current limitation].

For example, “We help early stage SaaS founders who are spending hours searching social platforms find relevant customer conversations without giving an AI permission to post whatever it wants.”

That sentence is useful because you can challenge every part of it. Can you find those founders? Are they already searching manually? Do they care about keeping control? Can your current product create the result?

Your first offer should be narrow enough that you can watch the entire journey. If the first ten customers each need a different product, a different onboarding process, and a different outcome, you may have ten payments without learning how to find the eleventh.

If your customer still feels fuzzy, start with the ideal customer profile guide. Do not treat the profile as a fictional document. Use it to decide whose problem you are willing to study closely.

3. Find people who are already trying to solve the problem

A matching job title tells you who could have the problem. Behavior tells you who may care now.

Look for visible signals:

• They ask how other people handle the problem.
• They describe a manual workaround.
• They request recommendations for a tool or process.
• They complain about the cost or limitations of an alternative.
• They mention a recent change that made the problem more urgent.
• They have built an internal spreadsheet, script, or routine to manage it.

These signals do not give you permission to pitch. They give you context for deciding whether you can contribute.

This is the lesson I took from those 100 Reddit replies. The most useful part was not the size of the thread. It was seeing founders explain what they were building and where distribution was difficult in their own words. I could respond to the actual situation instead of guessing from a profile.

Our guide to finding where your target audience spends time online explains how to turn customer language into communities, searches, and useful conversations.

4. Begin with a useful conversation, not a disguised pitch

When you find somebody discussing the problem, resist the urge to turn the first reply into a miniature landing page.

Read the whole conversation. Understand what they have already tried. Then add something that would still be valuable if your product did not exist.

You could:

1. Ask one question that reveals an important constraint.
2. Explain why a common workaround fails in their situation.
3. Share a checklist they can use immediately.
4. Compare two options honestly.
5. Point them to a useful resource that is not yours.

Do not mention your product in every reply. Contribute first. Be supportive to the kind of person you hope to serve. If your product becomes relevant after you understand the context, explain the connection honestly.

This does not mean hiding that you are a founder. It means giving the conversation a reason to exist beyond your sale.

If there is a genuine fit, suggest a small next step. That might be a direct message, a short call, a demo, or access to the product. Match the next step to the amount of trust and explanation the customer needs.

The weekly marketing routine for technical founders gives you a simple way to keep finding and joining these conversations without turning marketing into a full time performance.

5. Make the first offer easy to understand

Your first paying customer should not need to decode what they are buying.

Define six things:

If onboarding is still manual, say so. There is nothing wrong with helping the first few customers personally. The danger is pretending your manual effort is already a repeatable product experience.

Watch where the customer becomes confused. Notice which step requires you to rescue them. Ask them to explain the result in their own words. Then ask when they expect to need that result again.

That last question matters for SaaS. A useful one time result does not automatically create a reason to keep paying every month.

6. Ask for payment earlier than feels comfortable

Free access can help you learn. It can also delay the question you eventually need answered: is this result worth paying for?

You do not need to charge every curious person immediately. You do need a clear point where the relationship changes from exploration to a value exchange.

Explain:

• What the customer will receive
• What the product can do today
• What still requires your help
• What it costs
• What happens if it is not a fit

Then ask directly.

Avoid apologizing for the price before the customer reacts. Avoid adding a permanent discount simply because you feel nervous. If you offer early pricing, explain what makes it early and what the customer receives in return for taking a chance on a young product.

Payment is not only about revenue at this stage. It changes the quality of the feedback. A person deciding whether to pay will expose concerns that a free user can postpone forever.

7. Learn from objections without building everything

The first “no” can feel more specific than it really is.

“Too expensive” may mean the customer does not understand the value. “Missing a feature” may mean the product cannot fit an essential workflow. “Not now” may mean the trigger was weak. You need context before turning any objection into a product decision.

Keep a simple objection log:

Do not build every requested feature to rescue one sale. Look for objections that repeat among strong fit customers. Repetition is what turns an isolated request into useful evidence.

8. Turn the first 10 customers into a pattern

After every early customer, update one page with what happened:

• Customer and situation
• Trigger
• Previous workaround
• Reason they responded
• Promise they believed
• Time to first value
• Help required
• Reason they paid
• Reason they returned or left

After ten customers, you should be able to compare them.

Which customers reached value fastest? Which trigger appeared more than once? Which conversation created trust? Which objection kept returning? Which customers needed a product you do not actually want to build?

The purpose of the first ten customers is not to make a tiny dashboard look impressive. It is to replace ten separate stories with the beginning of a repeatable explanation.

Mangos AI can support the discovery side of this work by finding relevant public conversations and preparing thoughtful replies for your review. It should not decide whether somebody is a good customer or turn every conversation into a pitch. You can see the approve first workflow in the live demo.

Your first paying customers are the beginning

I am still careful when I see a large response number. One hundred replies can teach you a lot, but they are not one hundred customers. Ten payments can teach you even more, but they are not automatically a repeatable business.

The useful work is understanding the path between the signal and the outcome.

Who had the problem? Why did it matter now? What made them trust you? How did they reach value? Why did they decide to pay again?

If you can answer those questions honestly, your first 10 paying customers have given you something more valuable than early revenue. They have shown you what might deserve to become a system.

What would you need to learn from your first customer before trying to find the next nine?