There’s something about AI that tends to make us humans bolder – especially when it comes to code. The tool does all the heavy lifting for us, leading to more ambitious projects. Even solo developers are using it to build things that required a dedicated team a few years ago. It feels like having a secret weapon that’s ready to help at a moment’s notice.
That has led some seasoned (and not-so-seasoned) developers to go for the ultimate prize: replicating their favorite SaaS product. I admit to falling under the spell of such temptation.
It’s easy to see the potential benefits. SaaS subscriptions can be expensive, and the products may be more than what we need. Plus, there are always niche features that seem to be missing. Oh, and many are proprietary, raising data ownership concerns. Why not use AI to vibe code your own spinoff?
Can it really be that simple? Type a few prompts, and get a high-level tool to replace an enterprise app? As usual, it’s complicated.
Let’s take a hard look at the good, the bad, and the ugly of using AI to build a SaaS replica.
Taking Software Into Your Own Hands
My journey building a SaaS replica with AI began as I stood at a crossroads of sorts. I’m a longtime user of QuickBooks Desktop, which has served my accounting needs well over the years. However, the product I use was discontinued and moved online. Moving meant going from buying a license every few years to a monthly fee. I’m not keen on yet another subscription.
The desktop app is also starting to show its age. Some features are broken, and the interface is behind the times. Not to mention it’s a memory hog on my PC. This all coincides with some upcoming changes to my business that require a different approach.
So, I decided to take the plunge and build my own billing/customer relationship management (CRM) app as a WordPress plugin. I wanted something portable that would allow me (or others) to add features as needed. WordPress was the perfect fit.
The decision seemed like a no-brainer. I could use my existing skills to guide AI in the right direction. And I could leave out the things that weren’t necessary. I hoped to build a lean, functional plugin that streamlined my billing process.
This would also free me from the proprietary trap so many SaaS providers lock us into. I wouldn’t have to worry about higher rates, product limitations, or waiting for support tickets to be answered. Yes, this was exactly what I needed!
The only question was: Can I really build a suitable replacement?
The Challenge Is in the Details
The project started with a bang, as I used Claude to build a working prototype within an hour. Sure, there were some rough edges to be smoothed over. But the basic concept was coming together. Then, a bit of reality set in.
One of my goals was to create a tool that was close enough to what I’m accustomed to. The idea wasn’t to rebuild QuickBooks line by line, feature by feature. But I wanted something that provided a seamless transition.
My prototype allowed me to add customers, services, and invoices. I even built some import tools to bring my real-world data into the system. But I didn’t realize how many little details were missing until I used the plugin.
For example, I needed a way to share invoices with my clients. I also needed to distinguish between hourly-based and project-based services. Other needs seemed to pop up every few minutes:
- Custom reports for my business and individual customers.
- A way to email invoices to multiple contacts at the same company.
- A log to remind me whom I sent invoices to and when.
- Navigation to and from different areas of the plugin.
- User permissions for scenarios where you want to provide CRM access to a non-administrator.
- A front-end version of each relevant screen.
This was a different experience for someone who hadn’t taken a product from start to finish before. It felt more like being a product designer than a developer. That requires a different type of thinking.
AI proved capable of writing the code. However, I found myself having to provide extra context along the way. There was a lot of trial and error, and each new feature opened another set of decisions and potential.
There’s also danger in adding too many features. I didn’t want a bloated plugin that was difficult to use. As such, I had to practice restraint when considering my options.
It was a positive learning experience, for sure. But it also made me realize how much is involved in building a plugin that does more than merely function. Good things do indeed take time.
Questions To Ask Before You Build
The temptation to dive right in and generate code for the next HubSpot or Asana is understandable. AI makes relatively short work of complex coding tasks. These models can also advise you on how to replicate specific features.
It’s worth taking a step back and asking yourself a few key questions first, though. The answers will help you navigate the project or save you from making a massive mistake.
Are You Serious or Curious?
First, determine why you want to build this amazing new thing that’s based on an existing thing. Experimental side projects can be fun and a great way to learn. However, it’s different than a serious bid to create software that your entire company will use.
The former encourages you to be patient and test your ideas. The latter is often a mandate to increase efficiency while saving money. There’s an entirely different level of pressure in that scenario. You’ll also need to dedicate more resources toward the project.
It’s not necessarily a deal breaker either way, but a consideration nonetheless.
Do You Need Third-Party Integrations?
Integrating with other tools and services is a SaaS superpower. For example, adding Stripe to your CRM enables online payments, while Mailchimp adds email capabilities. AI tools can help you connect the various APIs out there.
The downside is the responsibility that comes with these integrations. APIs frequently change, and you need to stay ahead of them. Failing to keep up could lead to software that doesn’t work. Plus, there are security and privacy risks.
Remember: Once you build it, you’re responsible for it.
Do You Need Your App To Scale?
SaaS applications often require a robust infrastructure. That’s why AI companies are building data centers everywhere. This could be a concern if you’re expecting a stampede of users and use cases.
Smaller, more focused apps like my CRM plugin aren’t as big of a problem. A few users on a WordPress site won’t require a ton of memory or CPU cycles. But the calculus changes as your needs grow.
This is where a fun little project can turn into something more complex. That app you just vibe coded could turn you into a systems engineer. There’s also a cost to server space and other necessities. Are you prepared to go that far?
You Can Replicate a SaaS With AI, but Should You?
Using AI to generate code opens up a world of possibilities – and it’s only getting more powerful. New models continue to evolve to help us get things done faster. That leads to bigger and bolder ideas on our part.
Even so, it’s a good idea to think about the long-term consequences of what you build. It may be fun to try and replicate Gmail, but do you really want the responsibilities that go with it?
That may be an extreme example, but the theory also applies to smaller projects. The reality is that the best SaaS products are popular for a reason. They scale, have dedicated security teams, and professional product designers working to improve every aspect. Even the best AI models can’t match that quite yet.
So, have fun and experiment! Just know what you’re getting into before you begin.
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