Short answer
Most founders get quoted $40K–$80K to build their first product. I built V12 Labs to fix that. Here's the full story, the problem I saw, the model I designed, and what 40+ AI builds taught me.
Most people thought I was crazy.
I had a steady engineering job, decent pay, and a clear career ladder. I walked away from all of it to build MVPs for pre-seed founders at $6,000 a project.
Here's the full story, the problem I saw, the model I built, and what 40+ AI integrations shipped in under a year has taught me about what founders actually need.
If you would rather have V12 Labs build it, get your free build plan. We will put the scope, timeline, and price range in writing. You keep the plan, and if we build it, you own the code, data, and IP from day one.
I spent years in software development before starting V12 Labs. I worked at agencies. I worked as a freelancer. I worked inside product companies. I saw how the sausage was made at every stage.
And I kept watching the same thing happen to founders.
A founder, smart, customer-obsessed, clearly onto something real, would need to build a product. They'd reach out to agencies. They'd get quotes back: $40,000. $65,000. $80,000. Sometimes more.
They'd respond in one of three ways:
Response 1: They gave up. The idea was sound, the market was real, but the capital requirement was too high. They moved on. Maybe someone else built it later. Maybe no one did.
Response 2: They drained their savings. They paid the quote. The build took six months. The product launched. The market had moved. Or the product wasn't what users actually wanted. $80,000 and six months later, they were back at zero.
Response 3: They found a cheap freelancer. This one usually ended worst. The freelancer delivered something, or didn't. The code was unmaintainable. The product half-worked. The founder had no idea how to fix it or who owned what.
None of these outcomes needed to happen.
Want this built for your business?
We build custom software and AI agents that ship in weeks. You own the code, we stay for support.
Get your free build planFree. 30 minutes. You leave with scope, timeline, and a price range.
I'm not saying agencies that quote $50K are scamming founders. I'm saying the structure of a traditional agency makes high quotes inevitable.
Here's what you're actually paying for when you get a $50K MVP quote:
Project managers, people whose job is to translate between you and the developers. In theory, this is valuable. In practice, it adds a layer of communication overhead that slows everything down and costs you money.
QA teams, running manual test cycles on features you haven't even validated yet. You don't know if users want this feature. The agency is testing it to production standards before you know if it should exist.
Multiple design rounds, three rounds of mockups for screens that may never ship. Design is important. Three rounds of design for an MVP is over-engineering.
"Future-proofing", engineering for the scale you'll have after Series A. You're pre-seed. You don't have users yet. You don't need infrastructure designed for 100,000 concurrent users.
Overhead, office space, HR, sales team, account managers. All of this is real cost. All of it is baked into your quote.
A traditional agency isn't wrong to charge what they charge. They're just structured in a way that makes MVPs expensive by default.
The moment I decided to build V12 Labs wasn't a dramatic realization. It was a conversation.
A founder I knew had been sitting on an idea for eight months. Good idea. Real problem. Clear customer. She'd gotten quotes from three agencies. Lowest quote: $45,000. She didn't have $45,000.
She wasn't wrong to want to build her idea. The market wasn't wrong for charging what it charged. The system was just broken for the customer who needed it most, the early-stage founder who hasn't raised yet and is trying to prove something before they do.
I knew what it actually cost to build what she needed. Not $45,000. Not even close.
So I built V12 Labs to prove that.
V12 Labs is designed around a single thesis: founders should be able to validate their idea before it bankrupts them.
That means three commitments:
Flat fee pricing. MVPs start at $6,000. No hourly rates. No change orders for things that were always part of the scope. No surprises on the final invoice. You know the number before you sign anything.
15-day delivery. Not six months. Not "depends on scope." Fifteen days from spec lock to deployed product. Fast enough that you can get to user feedback before your runway runs out or your investor meeting happens.
Full source code ownership. The code is yours from Day 1. We transfer the repository to your GitHub account. No lock-in, no proprietary frameworks that require us to maintain them, no monthly platform fees to keep your product running.
These aren't just selling points. They're structural decisions that affect how we work, what we take on, and what we say no to.
After shipping 40+ AI integrations, here's what I know that I didn't know when I started.
Speed is a feature, not a tradeoff.
The conventional wisdom is that fast = lower quality. I've found the opposite. A tight timeline forces the scope discipline that most MVPs desperately need. When you have 15 days, you can't build the dashboard with six filter options and three export formats. You build the thing that matters and nothing else.
The founders who win iterate fastest, not build most.
I've seen $6K MVPs unlock seed rounds. I've seen $80K platforms that never found product-market fit. The difference wasn't the budget. It was how quickly the founder got real feedback and responded to it.
Most MVP features are never used.
Product research consistently shows that a large percentage of features in any product are rarely or never used by the majority of users. At the MVP stage, building those features isn't just a waste of money, it's actively dangerous. It obscures what's actually working.
AI changes the math on what's possible in 15 days.
Three years ago, an AI-powered product feature took weeks to build and tune. Today, with OpenAI, Anthropic Claude, LangChain, and a mature ecosystem of tools, an AI integration that would have taken a month can be done in three days. This is what makes the V12 Labs model work at the price it works.
In 15 days at $6,000, we build:
We use: React, Next.js, Node.js, Python, OpenAI, Anthropic Claude, LangChain, Pinecone, Supabase, AWS, Vercel.
We don't build:
If you're in the second list, we're not the right fit, and I'd rather tell you that in a discovery call than take your $6,000 and deliver something that doesn't serve you.
Since founding V12 Labs, we've shipped 40+ AI integrations across SaaS, fintech, healthtech, and marketplace products.
Founders we've worked with have:
None of them paid $80,000. None of them waited six months.
V12 Labs is the right fit if you are:
The conversation starts with a free Discovery Call. No pitch. No pressure. We look at your idea together, figure out if it's the right fit, and I'll tell you honestly if it isn't.
If it is, you'll know exactly what we're building, what it costs, and when it ships before you commit to anything.
Where this fits
Get a clear plan before you spend.
V12 Labs will put the scope, timeline, and price range in writing. If we build it, you own the code, data, and IP from day one.
Related reading
We published 30 blog posts in 30 days, every single one SEO-optimized, first-person, about the real work of building AI products. Here's what happened, what surprised us, what got traction, and what we'd do differently.
After 40+ MVP builds at V12 Labs, we've converged on a complete, opinionated tech stack for pre-seed startups. Here's every tool, why we chose it, what it costs at zero scale, and exactly when to upgrade each piece.
The agency model is rigged against founders. Hourly billing incentivizes slow work, inflated scopes, and dependency. Here's why V12 Labs picked flat-fee pricing, and what we actually stand for.
The model you choose shapes your cost curve, your capability ceiling, and your lock-in risk. After building on all three at V12 Labs, here's the honest breakdown, including what we actually use and why.
Demos look great. Production is brutal. Most AI MVPs collapse the moment they face real users, real scale, and real edge cases. Here's what breaks and exactly how we build differently at V12 Labs.
Every startup wants to 'add AI.' But there's a massive difference between an AI feature and an AI agent. Getting this wrong costs you 3 months and $30K. Here's the framework to decide which one to build.