It took me four weeks to find a Reddit post that worked.
I kept trying different ways to start a useful conversation with early stage founders. Eventually, I asked people to share what they were building and their biggest distribution challenge. That question received 100 replies. I tried to answer every person supportively, whether or not Mangos AI was relevant to them.
The important lesson was not that Reddit is a magic marketing channel. It was that marketing started to make more sense when I treated it like product work. I had a question, tested it, watched what happened, and changed the next attempt.
Marketing for technical founders does not need to mean becoming a full time creator or posting every day. It can be a small weekly routine for finding the right people, understanding their problems, and contributing something useful.
Why building usually wins your free hour
Imagine you have one free hour. You can fix a bug, improve onboarding, or talk to a potential customer. Which task feels easier to begin?
Product work is usually bounded. You can open the code, identify the problem, and know when the change is finished. Marketing feels less certain. You can write a thoughtful post and hear nothing. You can send a message and receive no reply. You may not know whether the problem was the audience, channel, timing, message, or offer.
That uncertainty makes another feature very attractive.
The problem is that product work cannot answer every product question. Code cannot tell you whether the customer feels enough urgency to change. A better interface cannot rescue a promise the market does not understand. Sometimes the most useful input for the product is sitting in a conversation you have not joined yet.
This is why I think technical founders should make market contact part of the building system. You are not stepping away from the product. You are collecting evidence for what the product should become.
Treat marketing like debugging customer demand
Debugging begins with a specific observation. Something happened that you did not expect. You form a hypothesis, isolate a variable, test it, and use the result to decide what to inspect next.
Marketing can work the same way.
Instead of writing “post on Reddit” on your task list, write: “Test whether early stage founders will describe their distribution challenge when the question is specific and the thread feels supportive.”
Instead of “do LinkedIn outreach,” write: “Learn whether founders who recently launched are actively looking for a repeatable way to find relevant conversations.”
Instead of “get more traffic,” write: “Find out which customer problem makes the right person visit the product page and try the demo.”
Each version gives the activity a purpose. You know what you are looking for and what the result might change.
My Reddit question took four weeks to work because the first versions did not create the right conversation. The eventual response did not prove that every founder needed Mangos AI. It showed that founders were willing to discuss what they were building and where distribution felt difficult. Their replies gave me language, context, and follow up questions that a traffic number never could.
You can read the Reddit thread that generated those replies and my deeper notes on what I learned from 100 Reddit replies.
Choose useful conversations over constant content
Publishing original content can be valuable, but you do not need an audience before you can learn from the market. Relevant conversations are already happening.
Look for people describing the problem in their own words. Read the full context. Ask yourself whether you can add something that would still be useful if your product did not exist.
A technical founder can contribute in specific ways:
- Explain why a workaround breaks under certain conditions.
- Compare two approaches without pretending one answer fits everyone.
- Share a small checklist that helps someone diagnose the problem.
- Ask for the technical or operational context everyone else skipped.
- Point someone toward a useful resource, even when it is not yours.
Do not mention your product in every reply. That is not the intention.
First, contribute. Be supportive to the kind of person you hope to serve. Engage naturally and try to understand what they are dealing with. If your product is genuinely relevant after that, you can explain the connection honestly or continue the conversation in a direct message.
The relationship should not depend on whether they become a customer. People can tell when a helpful reply is only a sales script wearing casual clothes.
A simple weekly marketing routine for technical founders
You do not need to give marketing every spare hour. Start with two short sessions and one review.
Session one: listen for twenty minutes
Find five conversations connected to the problem you solve. Save the ones where the person gives enough context to understand the situation.
For each conversation, record:
- Who appears to have the problem?
- What happened that made it important now?
- How do they describe it?
- What are they doing instead?
- What would a genuinely useful response contain?
If you cannot find five relevant conversations, that is useful evidence. Your search language may be wrong, the community may be wrong, or the problem may not be visible in that channel. Our guide to finding where your target audience spends time online can help you adjust.
Session two: contribute for thirty minutes
Choose one or two conversations where you can add real value. Draft the response, reread the original context, and remove anything that turns it into a pitch.
Then publish and stay available. A reply is the beginning of a conversation, not a completed marketing task.
If the person responds, ask a natural follow up question. If there is a real fit, thank them for the conversation and reach out privately without pushing for a sale. The goal is to understand whether you can help, not to force every interaction into a funnel.
Weekly review: learn for ten minutes
At the end of the week, ask:
- Which conversations were actually relevant?
- Which answer earned a thoughtful response?
- What customer language should appear on the website or in the product?
- Which assumption became weaker?
- What should I test next week?
Keep the notes simple. One table with the conversation, context, contribution, response, and lesson is enough.
What to automate and what to keep human
Automate the work that is repetitive but does not require judgment. Searching across public conversations, organizing results, saving context, and preparing a first draft can all consume time without being the part that makes your response valuable.
Keep the decisions that require empathy and product knowledge. You should decide whether the conversation is truly relevant, whether your answer contributes anything, what you learned, and whether a product mention belongs there at all.
This boundary is central to Mangos AI. It can help find relevant public conversations and prepare draft replies, but everything starts in approve first mode. The founder reviews what goes out. You can see the workflow in the live demo.
The purpose is not to automate being human. It is to reduce the repetitive work so you have more attention for the human part.
Make marketing part of the product loop
Marketing for technical founders becomes easier when it stops feeling like a separate performance. You do not need to publish constantly or pretend to have every answer. You need regular contact with people who experience the problem you are building around.
Listen. Contribute. Observe. Bring the lesson back into the product. Then repeat.
It took me four weeks to find a Reddit question that created the right conversation. That time was not separate from building Mangos AI. The replies helped me understand the people, problems, and language around distribution more clearly.
Before you add the next speculative feature, spend one hour investigating a market question. What could you learn this week that your code cannot tell you?
Spend less time searching for the right conversations
Mangos AI helps founders find relevant public conversations, prepare thoughtful replies, and review every response before it goes out.
See the live demo