I built an AI tool to write LinkedIn posts.
And nobody cared.
Let me tell you the full story because I think it matters.
Three months ago I was sitting in my apartment at 2 AM, convinced I had found a gap in the market. I was spending hours every week trying to write LinkedIn content for my own brand. Staring at blank screens. Rewriting the same sentence fourteen times. Watching other founders post effortlessly while I struggled to string together three coherent paragraphs.
So I thought, what if I just build something to fix this. An AI-powered web app that helps people create LinkedIn posts faster. Smart templates. Tone selection. Hook generators. The whole package.
I went heads down for weeks. Designed the UI. Built the backend. Integrated the AI models. Tweaked the prompts until the output actually sounded human. I was proud of it. Genuinely proud.
Then I launched it.
Crickets.
Not the dramatic kind where you get hate or pushback. The worse kind. Silence. A few sign-ups from friends who never came back. A couple of polite messages saying it looked cool. Zero paying users in the first two weeks.
Here is what I got wrong and I am sharing this because I see other founders making the same mistakes right now.
First, I built in isolation. I never once asked my target audience what they actually needed. I assumed my own pain point was universal. It was not. Some people wanted help with ideas, not full posts. Some wanted editing, not generation. I built for a version of the customer that only existed in my head.
Second, I launched without distribution. I had no audience. No email list. No community. I just put it out there and expected the product to speak for itself. Products do not speak. People do. And I had nobody speaking for mine.
Third, I underestimated how crowded the space already was. There are dozens of LinkedIn content tools. Some backed by real teams with real budgets. I did not take five minutes to ask myself what makes mine genuinely different. The honest answer at launch was nothing.
So what did I do next.
I stopped building features and started having conversations. I reached out to fifty founders and content creators. I asked them to use the tool and tell me everything that was broken, confusing, or unnecessary. The feedback was brutal and exactly what I needed.
I started posting on LinkedIn myself, using my own tool, sharing the messy behind-the-scenes journey. That raw honesty attracted more users than any feature ever did.
Slowly things started shifting. Not overnight. Not dramatically. But the kind of slow traction that actually means something because it is built on real feedback from real people.
The tool is still early. I am still figuring it out. I am not writing this as a success story. I am writing this as a founder who made every classic mistake in the playbook and is trying to learn from each one in public.
If you are building something right now and you have not talked to a single potential customer this week, close your code editor and open a conversation instead.
That is the lesson I paid for with three months of my time.
What is the biggest mistake you made early in building your product? I would genuinely love to hear it.
Top comments (2)
hey ahmed, your line about building for a version of the customer that only existed in your head is painfully familiar. that isolation is why i built vidura, it makes synthetic user panels that react to your build like real users before you go chase real ones. free, 50 credits no card. point it at your tool and see what'd make a persona bounce vs pay? would love your feedback :) vidura.saivenna.com
Hey, thanks for this — glad that line landed with you, good to know I'm not the only one who's been there :)
Vidura looks interesting. The synthetic panel idea fits exactly that gap of "before you can reach real feedback." I've got a SaaS called CV Mimarı right now (AI-powered CV builder aimed at the Turkish market) — let me point it at that and see what makes a persona bounce vs. pay. Curious to find out.
I'll send you honest feedback once I've tried it. Nice work in the meantime.