I Tried This in the 2010s

I tried to start a SaaS boilerplate-driven business before. That was before AI. I had ideas, I had potential customers, and I had the knowledge and expertise to make it happen. So I built and built and built. I went out and showed customers and tried to get them to sign up to my apps.

The pain points I was trying to solve were compelling, but people did not know where to start. They were hesitant to type in that first thing. They did not see how these ideas could improve their lives. I was pretty disappointed with that experience, even though I learned so much.

The Real Reason Trials Fail

Research by Pendo found that the average SaaS application sees only 15-25% feature adoption, with most users never getting past the initial setup. A study by Intercom showed that 40-60% of users who sign up for a free trial use the product once and never come back. They could not figure out how to get value quickly enough. I think staring at a screen with no idea what to do first kills more SaaS products than bad pricing or missing features ever will.

The Second Attempt

When AI and LLMs came along, I realized it was time to try again. AI could give people a partner in starting and improving their experience with my SaaS ideas. This time around I am providing AI starter templates, wizards, and interfaces that assist and unblock people so they can get value from the apps as soon as possible.

The most successful entrepreneurs I've met are the ones who never assume they know everything. They're willing to admit their mistakes, learn from others, and seek help when needed. Humility isn't weakness - it's strength in its purest form.

Building CollectiveSaaS as an AI-powered SaaS template gives me a toolkit that did not exist ten years ago. I am excited as ever to see what comes of it.

What I Got Wrong

• Users need to see how to start before a compelling problem means anything to them. Onboarding matters more than the feature set. Build the bridge from signup to value before you build more features.
• Do not assume users will figure it out on their own. The apps I built in the 2010s had all the right capabilities, but they expected users to bring the initiative. AI lets you meet users where they are and guide them forward.
• Failure is a timing problem as much as a product problem. The same ideas that failed before AI can succeed now because the enabling technology finally exists. Do not throw away an idea just because it did not work once.
• Build tools that help users create. The shift from empty text fields to AI-assisted content generation is what turns a tool people stare at into one they use.
• Document what you learn from every failure. The lessons from my 2010s projects are baked directly into CollectiveSaaS - the AI wizard, the guided onboarding, the template system.

I might be wrong about this one too. What I know is that the thing that stopped the last attempt has an answer now.