Isidore Mikorey-Nilsson
Agentic dev and SaaS distribution expert: he builds the acquisition tools he deploys for SaaS founders.
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Key takeaways
- Building software has never been more accessible: code is no longer the bottleneck.
- The real risk isn't technical, it's building a product nobody was waiting for.
- Half the work starts after launch: finding who will use it and pay for it.
Building a software product today can take a weekend. No-code, modern frameworks, AI assistants: shipping a working product has never asked for so little. That's good news and a trap. Because how easy it is to build says nothing about how relevant what you build is. The real question isn't "how to build software" technically, it's "how to build software people will actually use, then pay for."

Building software today: code is no longer the bottleneck
You have to grasp how far the technical barrier has collapsed. According to Gartner, via Kissflow, 70% of new applications will rely on low-code or no-code, and 80% of technology products will be built by non-developers. In other words: building is no longer reserved for people who can code, and even when you can code, AI cuts development time in half.
70%
of new apps built with low-code / no-code (Gartner)
80%
of tech products built by non-developers
43%
of failures tied to a product with no market (CB Insights)
The counterintuitive conclusion: if everyone can build, then building no longer sets you apart. The edge shifts toward what stays hard: understanding a problem better than others, and knowing how to put your product in front of the right people. Code has become a commodity. Distribution has not.
Frame your idea before you build software
Most projects die of the same cause, and it isn't the tech. According to CB Insights analysis of startup post-mortems, poor product-market fit remains one of the very top causes of failure: roughly 43% of startups that fail blame a product that didn't answer a real need. Running out of cash tops the list of apparent causes, but it's almost always the symptom, not the disease: you run out of money because too few people were buying.
So before you open your editor, frame it. Not for months: a few days are enough to eliminate ideas that don't hold up.
Write your hypothesis in one sentence
Talk to 10 people who have the problem
Look for the pain signal
Aim for the smallest useful product
The test that never lies
Is your target already rigging up a workaround (a spreadsheet, a manual process, a tool used sideways)? The problem is real. If there's no workaround at all, it often means the pain isn't strong enough for anyone to pay for a fix.
SaaS, app, custom software: which format to choose
"Software" is a broad word. Before you build software, choose the format that fits your use case and your ability to iterate fast. At the 0 to 1 stage, the number one criterion isn't power: it's how fast you can learn from your users.
| Format | For whom / when | What it costs you |
|---|---|---|
| SaaS (web, subscription) | The default today: recurring need, frequent updates, fast iteration | Cheap to start, recurring revenue, but you carry hosting and support |
| Mobile app | On-the-go use, notifications, camera or sensors | Two platforms to maintain, store review, slower release cycle |
| Desktop / custom software | Offline use, sensitive data, very specific business need | Heavier development, manual distribution, expensive to evolve |
For the vast majority of founders starting out, SaaS wins: you deploy once, you fix it for everyone, you charge every month. If you want the end-to-end detail, we have a dedicated guide on building a SaaS from idea to launch.
On how to build, the real question isn't no-code versus code, it's "what makes me learn the fastest."
No-code / AI
Ideal to validate fast and cheap. You test market appetite in a few days. Limit: you plateau on complex cases and depend on a platform.
Custom code
Relevant once the need is validated, for performance and specific functions. Slower to ship: avoid it for the very first test.
The trap, when you know how to build, is right here: choosing code out of comfort rather than necessity. You master the tool, so you take refuge in it, and you keep pushing back the uncomfortable moment of facing the market. If AI is part of your flow, we broke down the reflexes that work in our guide on vibe coding for a SaaS.
The real risk: building software nobody wants
Back to the stat we opened with: building for nobody is the most common cause of failure. When you love building, you hide behind the screen, because it's comfortable and measurable. Yet every week spent polishing an interface is a week not spent talking to the market.
The right guardrail is the MVP (Minimum Viable Product): not a stripped-down v1, but the smallest object that tells you whether people really want your solution. The healthy constraint: if you're not a little embarrassed by your MVP at launch, you waited too long. We wrote a full guide on how to scope your MVP without coding for six months for nothing.

From code to first customer: the bridge nobody shows
This is where most content stops, and it's exactly where the game is won. Building software is half the road. The other half, the one that makes or breaks the project, is acquisition. Nobody finds your product on their own.
Pick ONE channel, not ten
Go get your first 10 by hand
Watch what they do, not what they say
Repeat what worked
The reflex to build
Block as much time for distribution as for the product. Concretely: for every day spent building, one day talking to users, publishing, or prospecting. The usual imbalance (90% product, 10% distribution) is the number one cause of invisible products.
Your checklist before you start
Ready to build your software?
0 / 5If you tick all five, you're no longer flying blind. If you get stuck on the last line, that's the classic sign: the product is moving, but you don't yet have a plan to put it in front of the right people.
To go further, follow up with the step-by-step guide to building a SaaS, our method to find your first 10 customers, and the right reflexes for vibe coding a SaaS if you build with AI. These are the three pieces most often missing after "I've coded my product."
Frequently asked questions
- Do you need to know how to code to build a software product?
- Not really, not anymore. No-code tools and AI assistants let you ship a working first product without writing code. Coding helps, but it's never the factor that decides success: the rare skill early on is validating a real need and finding your first users.
- How much does it cost to build software?
- It depends on the format. A first product built with no-code or coded yourself can cost almost nothing in cash (mostly your time). Custom software handed to a studio quickly runs into tens of thousands. At the 0 to 1 stage, the goal isn't the perfect product but the smallest product that tells you whether the market wants it.
- What's the difference between building software and building a SaaS?
- A SaaS is software delivered online, accessed by subscription, with no installation. It's the default format for most new products today because it lets you iterate fast and charge recurring revenue. Building desktop software or a mobile app answers different constraints (offline use, hardware, distribution through a store).
Your software is ready, now what?
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