I built a 3D product configurator in three months, then had to make people find it. Search and video did that part, and they still do.
Furniture, jewelry and sportswear brands kept losing sales in the same place. A shopper picks a fabric, a metal, a color, a name on the back of a jersey, and then has to imagine the rest from a flat photo and a dropdown. Most of them do not buy. A good share of the ones who do send the thing back.
The tools that fix this already existed. They were priced for enterprise and sold as a monthly subscription, and a small or mid-size brand could not justify that number against the revenue it would move. So they stayed with the flat photo.
I built ConfiguraThor for that gap. Enterprise-level customization at a fraction of the cost, no monthly fees, full ownership of what you pay for, Shopify and WooCommerce integrations. That was the straightforward half of the work.
The other half was that nobody knew who I was. No audience, no leads, no brand, no list to email on launch day. I had a product and a blank page, and that is the part most founders underestimate. Building it is now the cheap part. Getting found is the expensive one.
The product took three months, iteration after iteration. None of those iterations came from me deciding what would be cool to have.
They came from one-on-one calls with the people who would use it. I listened to what was actually breaking in their store, built exactly that, and showed it to them again. Features I had guessed at and nobody asked for did not survive the first call.
Two of the prices I set were wrong, and I did not find that out in a spreadsheet. I found it out in conversations with buyers, in the pause after I said the number.
Changing it twice cost me time I would rather have kept. It also gave me the one thing the competition did not have: a price a small brand can approve without a committee, with no subscription attached to it.
One configurator ships in four to six weeks. I am a solo founder with a network of freelance 3D artists and developers behind me, so that promise only holds if nothing is improvised.
The fix was a structured asset handoff checklist, agreed with the client and with the artists before anyone opens a file. It cut iteration time by around 40 percent, because most iterations were never design problems. They were missing or wrong assets.
PlayCanvas and WebGL for the 3D and AR layer, WordPress for the site, Stripe for payments, Google Analytics and Microsoft Clarity to watch what people actually do on the page instead of guessing. Shopify and WooCommerce on the integration side.
This is the part I sell to other companies now. Eyedex is where I run it on my own money, in the AI era, with nothing inherited.
With no audience, cold outreach was the obvious move and it was also the one that ran out fastest. Every deal needed the same energy as the one before it. So I went the other way and built something that keeps working while I sleep.
In one 28-day window, LLMs cited me more than 1,000 times in answers to other people. Every one of those is a person asking ChatGPT or Perplexity how to solve their problem and getting my name in the reply, before they have ever seen my site.
The sequence is the same one I run for clients under the name OCAVI: find where buyers are searching, look at where competitors already win, work out where you can realistically compete, then build the pages and the videos that get you found and cited. Neuragate is where I learned it. Eyedex is proof it still works today, on a market that did not know I existed.
The tutorials are the part that compounds. They were recorded once, they still bring qualified leads every month, and they cost nothing to keep running. That is the difference between buying attention and owning the place where people look for it.
I find out what your buyers type before I write anything. Not what your team calls the product, what a person with the problem searches at 11pm.
I put the product on video where the searching happens. A tutorial that solves a real problem is a sales asset that keeps working two years later.
I treat pricing as something you test with buyers, not something you decide alone. I got mine wrong twice and only found out on calls.
I write the delivery checklist before I scale delivery. Boring process is what lets a small team keep a promise like four to six weeks.
I check whether AI cites you, not only whether Google ranks you. Being the answer someone reads matters more than being the tenth blue link.
If your buyers are searching and finding someone else, that gap is fixable and it is mostly research before it is writing. Three months to install the system, then it keeps working on its own.