I Tested Agenmatic for Finding Customers in Online Communities — Here’s What I Learned

SmartNova NeoBotX — Wed, 29 Jul 2026 03:23:48 +0000

Finding the first customers is one of the hardest problems for startups.

Many founders spend most of their time building products:

Writing code.

Improving features.

Fixing bugs.

Creating content.

But sooner or later, every founder faces the same question:

Who actually needs this product?

For a long time, my approach was simple:

Open Reddit.

Browse Hacker News.

Check Indie Hackers.

Look for people discussing problems that my product or service could solve.

This process is basically manual community research and customer discovery.

The problem is:

Most discussions are just conversations.

Only a small percentage of posts contain real customer intent.

For example:

“Does anyone know a tool that can solve this problem?”

or:

“I need someone to help me build this.”

These conversations are very different from normal discussions.

Because these users are already showing demand.

That’s why I started experimenting with Agenmatic, an AI lead generation tool.

What Is Agenmatic?

Agenmatic is an AI-powered customer discovery and lead generation tool.

The simplest way I can describe it:

It helps you find people who are already talking about problems you can solve.

Instead of manually searching through hundreds of posts every day, Agenmatic monitors online communities and helps identify conversations that contain potential buying signals.

It works more like:

Community monitoring + AI intent detection + lead discovery.

It is not a traditional CRM.

It is not an email automation platform.

The main goal is finding potential customers before they enter a traditional sales process.

Why Community-Based Lead Generation Is Interesting

Traditional outbound usually looks like this:

Build a list → Send messages → Wait for replies

The problem is that many people on your list may not have an immediate need.

Community-based lead generation works differently:

Someone has a problem → They ask online → AI detects the signal → You join the conversation

The advantage is simple:

You are not interrupting someone.

You are responding when they are already looking for help.

For founders, indie hackers, and small teams, this approach can be more efficient than sending hundreds of cold messages.

My Workflow With Agenmatic

Define Who I Want to Help

Before using any AI prospecting tool, I first define my target audience.

For example:

SaaS founders looking for growth help
Indie hackers searching for marketing advice
Businesses looking for technical or consulting support

The clearer your target customer is, the better the results.

AI can help discover opportunities, but it cannot fix unclear positioning.

Monitor Communities Where Customers Already Talk

Previously, I manually searched:

Reddit communities
Hacker News discussions
Indie Hackers posts

The problem was time.

Thousands of conversations happen every day.

Agenmatic helps monitor these communities and surface discussions that are more relevant.

Examples of useful signals:

“Looking for a tool for...”

“Need help with...”

“Does anyone recommend...”

“Alternative to...”

“How can I solve...”

These conversations are usually much stronger than general discussions.

Finding High-Intent Leads

The most interesting part is identifying intent.

Not everyone asking a question is a potential customer.

I usually look for three types of signals.

Clear Pain Points

Example:

“We launched our SaaS product but cannot get our first users.”

This shows an active business problem.

Compared with:

“How do SaaS companies usually get customers?”

The first person is much closer to taking action.

Urgency

Certain words often indicate stronger intent:

ASAP
Before launch
Need this week
Looking for a solution quickly

Someone with a deadline is usually more likely to evaluate solutions.

Buying Signals

Examples:

Looking for paid tools
Comparing products
Asking for recommendations
Mentioning budget
Looking for professional help

These signals suggest the person is not just researching.

They are trying to solve a real problem.

Example: Turning a Community Post Into a Lead

Imagine someone posts on Reddit:

“We launched our SaaS product, but we are struggling to get our first customers. Any advice?”

A normal keyword search might only see:

“SaaS”

“customers”

But AI intent detection can understand the deeper context:

Problem:

Customer acquisition is difficult.

Situation:

The product already exists.

Possible needs:

Growth strategy
Marketing tools
Customer acquisition solutions

The value is not only finding keywords.

It is understanding why someone is asking.

Using AI to Write Better Replies

Finding potential customers is only half of the process.

The next challenge is starting the conversation.

A generic reply like:

“Check out our product. It can help you.”

usually does not work.

A better approach:

Understand the person's situation
Provide useful information
Start a real conversation

Agenmatic can help generate reply drafts based on the discussion context.

I still edit every reply manually.

Because:

AI can improve speed.

But trust comes from human communication.

Who Could Benefit From This Approach?

I think this workflow is especially useful for:

SaaS Founders

Use cases:

Finding early users
Collecting feedback
Discovering customer problems
Indie Hackers

Use cases:

Finding product opportunities
Understanding market needs
Improving positioning
Agencies and Freelancers

Use cases:

Finding B2B opportunities
Discovering service requests
Identifying potential clients
Small Growth Teams

Use cases:

Market research
Customer discovery
Lead generation
Things to Keep in Mind

Tools like Agenmatic are not magic.

They do not create demand.

They help you discover existing demand.

If your customers never discuss their problems in communities like Reddit, Hacker News, or Indie Hackers, the results will naturally be limited.

Also, AI-generated replies should not be copied blindly.

People can quickly recognize generic messages.

The best results usually come from:

Good targeting
Fast response time
Useful advice
Genuine conversations
Final Thoughts

The biggest change I noticed is this:

Customer acquisition is moving from:

“Who can I reach?”

to:

“Who is already looking for a solution?”

For SaaS founders, indie hackers, and B2B teams, AI-powered community lead generation could become a useful way to discover customers faster.

Agenmatic does not replace sales.

But it can reduce the time spent searching and help founders focus on conversations that actually matter.

DEV Community: SmartNova NeoBotX

I Tested Agenmatic for Finding Customers in Online Communities — Here’s What I Learned