7 Products Shipped. 2 Made Money. My First ₦100K in 4 Months of Bootstrapping..

The Contex

I never knew it was possible to build a marketable software product that people will use on a recurring payment basis and sell it for hundreds of thousands of dollars until I saw that Nico Jeanne did it. Dare (a PhD student I met during my MSc programme) mentioned it. He said he was working on a kind of idea, and once he finished that, he would put a paywall behind it and grow it enough to be sold for thousands of dollars. We were having a virtual session on Distributed Systems that day, and I thought this guy must be crazy. The only thing is, I just cannot tell him that cause he is the one tutoring and five others what we don’t know that day.

Well, Dare wasn’t crazy. I was wrong, and I am glad that I didn’t tell him that his idea and business model are not real. It is a doable thing that has been in existence for a long time. It wasn’t just a popular thing that you will see among Nigerian developers the way you see it in the Western world. I got to know and was convinced about this after coming across Nico Jeanne’s video on YouTube about how he bootstrapped and sold MakeLogo.ai and Talknotes for $260,000 between 2022 and 2024. Impressive! I was inspired

The Build

This crazy idea of finding a painful problem, writing lines of code as solutions to the problem and turning the whole thing into a product that people have to pay for is something I found exhilarating. I thought this was something I could do since I already know how to write code, train ML algorithms, and deploy models into a production environment (I major in AI/ML in my MSc IT program). Even if my marketing skills are unpolished, I am not totally stuck at convincing people to try out something and let me know what they think. That is how I started experimenting.

I shipped my first idea with a paywall behind it in June 2026. It is called PanelStatX, a GPT-4o-powered no-code statistical tool for running panel regression, acting as an alternative to Stata and SPSS. I launched 4 more data-driven tools in that same month. These are

• DataSynthX: A tool for generating a custom dataset from existing data
• EFActor: A diagnostic and refinement tool for Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).
• EmpiricX: AI-powered tool for analysing empirical literature and identifying research gaps.
• BizTrack-OS: A business operations application for SMEs to manage inventory, sales, debtors, and business performance

All of these, except BizTrack-OS, are powered by GPT-4o, and building them was quite easy for me. I have been involved in research and advanced data analysis for about ten years, so I wasn't starting from zero technically. I was taking workflows I understood and packaging them as no-code solutions for people who didn't have the technical skills. The assumption was that if these things were useful to other researchers and me, people would pay to use them. I am still validating that.

In July 2026, I shipped two more products again: Crea8it Studio and Crea8it Lab. These are vertical SaaS products, and both are jointly operated on a B2B2C model serving Tech Builders, Creatives and Career Aspirants. By the end of July, I had shipped seven products with a monetisation mechanism.

From Zero to 1, then 1 to ₦100k in four months

Building is fun. Selling is hard. Very hard. Of the seven products I shipped between June and July 2026, only two product businesses eventually generated sales: BizTrack-OS and Crea8it Studio + Lab.

The other products made no sales. Not even one. And this wasn't because I built everything blindly. Before developing some of these products, I spoke with potential users who expressed interest and gave positive feedback. PanelStatX and DataSynthX were particularly promising, at least from the conversations I had. I expected them to perform well. Apparently, positive feedback doesn't pay server bills.

People can like your product, praise the interface, agree that the problem exists, and still not bring out their ATM cards. I knew this intellectually. Experiencing it was another thing entirely. I wasn't expecting everything to start printing money immediately. I've had enough exposure to entrepreneurship to understand that having a product doesn't automatically create a business. Still, watching a product sit for two or three months without making a shishi is not particularly enjoyable. Especially when you thought it would be a hit. Omo! E choke!

Then BizTrack-OS started making money in its third week after launch. I got four SMEs to sign up through direct, personal selling. I spoke with the business owners, demonstrated the product, got them to try it, and eventually converted them into paying users.

Over four months, from June to September 2026, BizTrack-OS generated ₦46,500. It wasn't a life-changing amount. But people were paying for software I built. And some continued paying to use it. That was important to me. It moved the product from being just another project sitting on the internet to something that had demonstrated actual commercial demand.

Then Crea8it Studio + Lab started making sales in August 2026 through cohort-based learning programmes. By September, it generated ₦86,000 in sales. But not all that money stayed. I had to issue refunds for two reasons.

• First, I became unavailable to oversee some of the cohort programmes as originally planned.
• Second, I had to rebuild parts of Crea8it Lab to address bugs associated with its multitenancy architecture.

For a product intended to support different cohorts, instructors, learners, and eventually organisations, getting the tenant architecture wrong was not a small inconvenience. It affected the operational reliability of the platform. And when people pay you to deliver something, your technical challenges are your problem, not theirs. I refunded users rather than pretending everything was fine. The reported revenue retained by Crea8it Studio + Lab stood at ₦53,500, subject to final reconciliation of the refunds and other deductions. Combine that with BizTrack-OS, and that is ₦100K.

What I've Learnt So Far

Six months ago, I didn't have a commercial software product of my own with a paywall behind it. I had written code, trained models, built software, and worked on different technical projects. But building software for someone else or for an academic purpose is different from building something that strangers are expected to pay for.

Today, I've shipped seven products. I've also narrowed the portfolio down to five maintained products after combining PanelStatX, DataSynthX, and EFActor into a modular system called StaX360. My current portfolio looks like this:

• StaX360: Panel regression, synthetic data generation, and factor analysis within one modular platform.
• EmpiricX: AI-assisted empirical literature analysis.
• BizTrack-OS: Business operations software for SMEs.
• Crea8it Studio: Programme discovery, enrolment, and commercial operations.
• Crea8it Lab: Cohort learning and programme management.

Some have made their first money. Others haven't made a shishi. All of them have taught me something. Let me tell some of them:

1. The game of SaaS is not a California Gold Rush and building a product is not the same as building a business in this field. Given access to the right tools and enough time, you can figure out how to build a solution. The real question is

• But who will pay for it?
• But who will pay for it?
• How will they discover it?
• Why should they trust it?
• Why should they choose it over what they're already using?
• And most importantly, why should they keep paying?

These questions don't disappear because the product has a beautiful interface or sophisticated algorithms. A product becomes a business when it can consistently attract customers, deliver value, and capture some of that value as revenue. Until then, you may just have a very impressive technical project.

1. Positive feedback is not product-market fit. I learnt this one from PanelStatX and DataSynthX. People expressed interest. Some liked the concept. Others thought the tools would be useful. I interpreted some of those signals as evidence that the products would sell. Wrong. Interest is not purchasing intent. And purchase intent is not an actual purchase. There is a significant difference between someone saying "This is a great idea" and someone entering their card details to pay for it.

1. Distribution is a skill. Learn it. For BizTrack-OS, my first paying users came from direct selling. I didn't need thousands of followers or some complicated marketing infrastructure to do that. I needed to speak with business owners, demonstrate the product, and follow up. That worked. Meanwhile, some of my research tools, which I considered technically stronger, struggled to attract paying customers. The difference wasn't necessarily product quality. It was my ability to reach the right audience and convert their interest into payment. I have come to understand that distribution is not something you figure out after building. It is part of building the business.