the freelancer you hired to build your ai product just ghosted you.
two weeks before your only investor demo. three months of runway gone. forty thousand dollars vanished into a figma file that doesn't compile.
your entire startup is now a google doc and a sinking feeling. you need to hire ai developers for your startup, but the hiring process is what got you here.
this is the moment i built dreamlaunch for.
why founders hire ai developers (and why it usually fails)
you hire a developer because you have a product to ship. you end up lost in a process that has nothing to do with shipping.
you post on upwork or lemon.io and get 50 proposals in 24 hours. you spend a week interviewing. you pick the one with the best portfolio. you agree on a timeline and a price.
week one goes to 'setting up the environment.' week two is 'clarifying the architecture.' week three, they ask for access to your figma again because the designs 'aren't detailed enough.'
by week four, you're managing, not building. you're answering slack messages about button states and api choices. you're paying for their time, not your progress.
the failure isn't the developer. it's the transaction. you're buying hours of a person's attention spread thinly over months. you're buying their presence, not your product.
and when they inevitably ghost—or deliver something that doesn't work—you are left with a half-finished repo, a broken stripe integration, and a calendar reminder for a demo that will never happen.
you thought you were hiring execution. you hired another todo item.
how dreamlaunch's ai specialization solves the build problem
we don't hire ai developers for your startup. we become your ai development team.
the difference isn't semantic. it's structural. when a founder comes to us, we don't match them with a person. we match them with a process that has shipped over a dozen ai products in the last year alone.
our team is built around one outcome: the psychological shift from 'we're building it' to 'here it is.'
that's why our ai development practice is built on three non-negotiables.
one. we start with a blueprint. a $1,500, one-time technical spec that maps every screen, every api call, every integration, and every data model before we write a single line of code. we did this for a simulation engine mobile app. 40+ screens fully mapped. it prevented three months of scope drift and two dead ideas before we even started.
two. we build full-stack, ai-native products. not a frontend contractor plus a backend guy plus an ai 'expert.' one team that owns the react native app, the node.js api, the openai integration, the pinecone vector db, the stripe subscription flow, and the deployment to vercel. like we did for mosaic, the kids' storytelling app. flutter app, ai pipelines, tts, compliant billing. shipped in 7 weeks from a notion doc.
three. we fix the code you already have. most of our projects start with a cleanup. we inherit codebases where founders spent six months and $50k on a freelancer who used ai to generate a mess. like the $3,500 vibe-coded cleanup we did. 400+ files, 4 hardcoded api keys, 3 parallel auth systems. we made it deployable in a week.
the specialization isn't just in ai. it's in the transition from idea to live url. we are the bridge that most founders fall off.
our pricing model: fixed cost, fixed timeline, fixed scope
i looked at our invoice for the fintech mvp.
$6,500.
it covered 14 screens, a production-ready react app, a full backend with auth, stripe integration, and deployment. it was quoted, signed, and shipped in under 48 hours. post-launch, we fixed an onboarding flow that increased user retention by 15% without adding a single new feature.
that's our model. you don't pay for hours. you pay for a completed product segment.
our pricing anchors are simple.
blueprint: $1,500 for the technical architecture and spec. you walk away with a buildable map.
launch sprint: $6,500 for a production-ready, deployable mvp. this is for founders who need a live product to show investors or pilots now.
studio build: $12,000–$20,000 per month for a dedicated team shipping a full product. this is for builds like aprex—50+ screens, a custom d3.js knowledge graph, a command palette built from scratch.
momentum: $3,500 per month to maintain, iterate, and scale a product we've already shipped. this is what keeps bounce daily's react native app running for 100k+ active users.
this is 40-60% less than a us dev shop. not because we're cheaper, but because we're capital-efficient. we turn your seed runway into a shipped product, not a monthly burn.
you're not buying a developer's time. you're buying your time back.
speed advantage: from brief to live product in weeks, not months
most agencies quote 3-6 months for an mvp.
we ship in 4-8 weeks.
the velocity isn't magic. it's our process. we treat your product like a startup studio project. we lock the scope in the blueprint. we build in two-week sprints with daily loom updates. we deploy to a staging environment you can click through every friday.
for the autonomous lead scoring agent, we had a working prototype scoring leads and sending dms in 7 days. the norway-based founder saw his first qualified outbound message within a week of signing.
for the ae content pipeline, the us family office had an autonomous system writing and publishing seo articles from ahrefs data and youtube transcripts—with zero human input—in 7 days.
this speed is the difference between catching a fundraising window and missing it. between landing a pilot customer and losing them to a competitor who shipped.
your biggest risk isn't the cost. it's the time.
the dreamlaunch process: how we ship your ai product
here's exactly what happens after you message us.
day 1-2: discovery call. we talk about the one thing you need to be true for this product to matter. we ignore everything else.
day 3-5: blueprint. if we agree there's a path, we kick off the $1,500 technical spec. we deliver a figjam with every screen mapped, every integration listed, every api endpoint defined.
day 6: proposal. fixed cost. fixed timeline. a single pdf with a yes/no button at the end.
day 7: kickoff. we introduce your core team of 2-3 engineers and a producer. we set up the slack channel, the loom calendar, the github repo.
week 1-2: sprint 0. infrastructure, auth, base ui library, first ai integration. you get a staging link.
week 3-4: sprint 1. core user flows complete. you can sign up, use the main feature, and hit a database.
week 5-6: sprint 2. polish, payments, onboarding, deployment. you get a production link.
week 7+: handoff & iteration. we deploy, monitor, and transition to a momentum retainer or hand you the keys.
the process is boring because the outcome is certain. you get a product at a url. you stop managing and start selling.
case studies: startups that shipped ai products with us
mosaic. ai storytelling app for kids. founder had an idea and a target age group. we built the flutter app, the node.js backend, openai/dall-e/google tts integration, stripe, firebase, a referral system, and made it coppa compliant. launched on ios and android in the us and india. 7 weeks from zero.
aprex. precision productivity tool. founder needed a full product from a blank canvas. we built a react spa with a custom d3.js knowledge graph, a cmd+k command palette from scratch, zen mode, version history, and a local-first data architecture. 50+ screens, 100+ components. private launched in 2025.
autonomous lead scoring agent. norway-based b2b saas founder. we built a pipeline using grok fast for icp scoring, grok for context pull, and llama for dm generation. it scores and messages leads live over sse. founder quote: 'they built a solid foundation i can actually scale from.'
you can read more detailed case studies on our site.
the pattern is the same. a founder with a deadline, a burned bridge, and a real need for a live product. we become the team that ships it.
so.
are you managing a build, or are you ready to have a product?
book a 20-minute discovery call. tell us about the one thing that needs to be true. we'll tell you if we can build it, for how much, and by when. no hiring process required.
how much does it cost to hire ai developers for a startup with dreamlaunch?
We work on fixed-cost projects, not hourly rates. A technical Blueprint starts at $1,500. A production-ready MVP via a Launch Sprint starts at $6,500. Full product builds range from $12,000–$20,000 per month. This model is typically 40-60% less capital-intensive than hiring a US dev shop or a full-time team, translating your runway directly into a shipped product.
what's the difference between hiring dreamlaunch and hiring freelancers?
Freelancers sell you their hours and attention, which often leads to you managing the project. DreamLaunch sells you a completed product segment on a fixed timeline. We provide a dedicated team with a proven process, daily updates, and a single point of accountability. You get a live URL, not just a developer's time.
how fast can you build and deploy an ai mvp?
From a signed agreement, we typically ship a deployable, production-ready MVP in 4-8 weeks. For urgent needs, like our Fintech MVP project, we have shipped in under 48 hours. Speed is core to our model because we know a founder's biggest risk is time, not money.
what if i already have a partially built product or a messy codebase?
Many of our engagements start with a cleanup. We audit the existing code, fix critical issues (like hardcoded API keys or broken architecture), and then build forward from a stable foundation. Our $3,500 "vibe-coded cleanup" service is designed specifically for this scenario.
do you offer ongoing support after the product launches?
Yes. Our Momentum retainer ($3,500/month) provides ongoing maintenance, monitoring, and iterative feature development. This ensures the product we ship remains stable, scales with your users, and continues to evolve based on feedback.
