6 weeks ago, Andrew Wilkinson sat down with me at our local cafe. He had been hacking away on this new AI-powered personality test that he claimed predicted every conflict he and his girlfriend ever had.
"Sure," I thought. "It's a horoscope thing."
Then I took it and was blown away by how accurately it matched my lived experience and the feedback I've gotten from friends, family, romantic partners, and managers over the last decade.
Then I got my girlfriend to take it. Again, eerily accurate.
Then we used the comparison feature to get a joint analysis of our relationship based on our individual results. I won't disclose too much, but it understood the frictions and conflicts we've been navigating for over 5 years and helped me better understand how to approach them more effectively ❤️
I had just sold my company and had a lot of time to to kill, Andrew was looking for someone to help polish it up and launch, so I jumped in and we vibe coded like mad men.
We launched the first week of February and just crossed $11K in revenue.
Try it out!. You'll get your complete results + a preview of your AI analysis for free (about 40% of it): https://dub.link/ZiZ9OKZ
P.S. We're looking for people to help automate Deep Personality and other businesses Andrew owns. If you're experimenting at the frontier with agents and LLM-powered automations, shoot me a DM!
how have you got the traffic to the site?
Impressive revenue!
The comparison feature is the real product. Most founders think the test itself is what they're selling — but it's the moment two people read each other's results together that makes someone text it to three more people. That pair-comparison loop is built-in virality that most products pay heavily to engineer artificially.
$11k in 30 days from a cold start is strong signal. Curious whether this is mostly one-time purchases or if there's a subscription element in the mix — because once recurring billing is live, the operational stuff starts to matter fast. Specifically, failed payments that quietly drain MRR without anyone noticing until it's a real number. That's the exact problem we built tryrecoverkit.com to solve. Worth having a recovery sequence in place before the scale makes it expensive not to.
$11k in 30 days is impressive! The AI personality space is exploding. Curious about your AI costs at that scale — are you single-model or multi-model? We run 4 AI providers at TubeSpark (GPT-4, Claude, Gemini, Groq) and the cost routing alone saved us ~40% vs using GPT-4 for everything. What's your margin looking like with that revenue?
personality tests have one of the best organic share rates of any product type - people get results and immediately want to compare with their partner, which is basically built-in virality. curious what drove the $11k though, was it mostly organic social or did you run any paid at all? because this type of product also works really well with meta ads if you lean into the "do this with your partner" angle.
The 'scratch your own itch' validation loop is powerful here. You tested it on yourself first, then your girlfriend - that's real product-market fit validation before writing a line of production code. Most founders skip this step and build for imaginary users.
$11k in 30 days is solid, but the shareability factor is the real moat. Personality tests that 'actually work' get shared in relationships, friend groups, teams. That organic growth loop is hard to manufacture. Curious - what's your customer acquisition breakdown between organic sharing vs. any paid channels you've tested?
Im quite new to development and though I still have a lot to learn I'm about to launch a few products and the struggle is so real.... as a solo dev theres so much to do so little time.... these stories let me know that the path is going to be one of struggle but one possible nethertheless.
I dont want to push much attention to me here but I do have a tool built that may help you, I'll dm.
the "scratch your own itch" approach really is the best validator. you used it on yourself, saw it work, then built from there. way better than spending months on market research. 11k in 30 days is solid especially for something people actually want to share with friends and partners. that kind of organic loop is hard to manufacture. congrats and good luck scaling it.
This is really inspiring especially the validation approach of testing it on yourself and your girlfriend before building further. That's exactly the kind of founder-user feedback loop that makes products feel accurate rather than generic.
Congrats on the $11k! Quick question how did you handle the cold start problem of getting your first 100 users to take the test before you had any social proof?
$11K in 30 days with vibe coding is impressive but I'm curious about the infrastructure costs. What's the stack running on and how much are you spending on API calls at that volume? The revenue number is great but the margin tells the real story.
I love it, the thing you can vibe code now days shows there's no limits if you know how to communicate with AI and you have a vision to build something.
I myself vibe code two projects currently, still some time to be production ready but getting there.
Congrats on your success.
Love seeing vibe coding succeed! $11k in 30 days proves it's such a powerful way to build. When you can just describe what you want and iterate through conversation, you move so much faster than traditional development.
We built Kintsu.ai specifically for this kind of vibe coding approach - it lets you build entire WordPress sites and features just by chatting with AI. No more getting stuck in technical details when you just want to bring an idea to life.
Your personality test shows exactly why vibe coding works: you can focus on the core value (understanding personality dynamics) instead of wrestling with code. What's your next vibe coding project?
$11k in 30 days on a vibe-coded project is wild. I think the 'scratch your own itch then realize others need it' path is underrated. Most of my app VigiGym started that way. Building tools I actually wanted to use made product decisions way clearer. When you're both builder and user, you know instantly if something feels wrong.
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