
Rocketech editorial update — .
A focused MVP now takes weeks. At Rocketech a typical first release costs $5,000 to $15,000 and ships in 2 to 4 weeks. When we first published this guide in 2022, we priced a small MVP at $20,000 to $100,000. Most of the drop comes from AI tools and ready-made parts taking over routine coding. Deciding what to build, connecting it to other systems and keeping it safe still takes people, and that is where the money goes now.
This guide covers what changed since 2022 and how to estimate your own first release before you ask anyone for a quote.
What changed since 2022
Engineers now hand routine code to AI assistants and coding agents: forms, API endpoints, tests, data migrations. A senior developer still reviews every change, but far less time goes into typing it.
Common parts also stopped being custom work. Sign-up, payments, an admin panel, email and file uploads look much the same in most products. A team with its own tested modules plugs them in and spends its hours on the part that makes your product different.
First releases got smaller too. A big first version spends the budget before a single customer has tried it, so the first release now does one job for one type of user.
AI app builders can produce a clickable prototype in an afternoon, and that is a good way to show an idea to customers. A product people can pay for, log into safely and trust with their data needs more work. That gap is where most of an MVP budget goes today.
Where an MVP budget goes in 2026
| Work | What AI speeds up | What still needs people |
|---|---|---|
| Scope | Drafting user stories and screen lists | Deciding what to leave out so the first release tests one idea |
| Design | First versions of screens | Making the main flow obvious to your users |
| Code | Routine code, tests and data changes | Architecture, code review and anything unusual in your product |
| Integrations | Boilerplate for well-known APIs | Old or poorly documented systems, edge cases and error handling |
| Security and data | Checklists and automated scans | Access rules, personal data, payments and compliance |
| Launch | Deployment scripts | Hosting choices, monitoring and fixing what real users break |
How to estimate your MVP in five steps
- Write down the one job. One sentence: who uses the product and what they get done with it. If it takes two sentences, you may be describing two products.
- List the screens for that job only: sign-up, the main flow, the result and the admin view you need to run it. Put everything else on a "later" list.
- Mark what is standard and what is yours. Login, payments, email and admin are standard. Your matching logic, pricing rules or AI feature are custom, and custom parts drive the estimate.
- List every outside system. A CRM, a payment provider, a bank or an old internal database each adds days, sometimes weeks. Ask whether each one has a documented API.
- Add the cost of running it: hosting, app store fees, paid services and, if the product uses AI, the cost of each model call. Plan a monthly amount for fixes and the next release.
Turn the list into a range with the assumptions written next to it. A single number hides the guesses behind it. The AI project estimate turns a short description into user stories, hours and a budget range you can check line by line.
A quick check on any quote
Rocketech charges $39 to $55 an hour. At that rate $5,000 pays for about 90 to 130 hours of work and $15,000 for about 270 to 385 hours. With AI tools and ready-made modules covering the routine parts, that is enough for a first release with one main flow. If a quote for a similar scope assumes thousands of hours, ask which parts are being built from scratch and why.
When an MVP should cost more
Some products can't be squeezed into a month, and it is better to know that before you start. Budgets grow for regulated products (payments that hold client money, health data, lending), for marketplaces where both sides need their own apps and payouts, and for anything tied to hardware or physical tests. Deep work with an old, undocumented internal system adds time as well. So do AI features that must be right every time, because checking the answers can take longer than building the feature.
In those cases, start with something small that answers the hardest question first. For AI products that is a pilot: at Rocketech an AI agent or automation pilot costs $5,000 to $15,000 and takes 2 to 4 weeks, and it shows what the full build will need. The AI agent cost guide breaks this down.
AI inside the product has running costs
If your product uses AI to answer questions, read documents or make recommendations, the build is only part of the cost. Every model call is billed, so the monthly bill grows with usage. You also need a way to test whether the answers are right, and rules for what the model must never do. OpenAI’s evaluation guide describes how to set criteria and test model output. Put three lines in your estimate: the build, the monthly model cost at your expected usage, and the time to recheck quality after each change.
After the first release
Most teams keep building in short cycles once users start giving feedback. If you need engineers for that, a dedicated developer at Rocketech costs $6,000 to $9,000 a month and a team can start in 2 to 4 weeks. The dedicated team cost guide shows the math for common team sizes.
What to prepare before you ask for quotes
- One sentence on what the product does and for whom
- The screens in the first release, plus a separate "later" list
- Which parts are standard and which are unique to your idea
- Every outside system the product must connect to
- Your budget range and the date users need to have it
- Who on your side makes decisions, and how quickly
Send the same list to every company you talk to and the quotes become comparable. Current prices from Rocketech and other agencies, each with its source, are on how much an MVP costs in 2026, and the comparison of MVP development companies shows who publishes what.
Use the free startup budget and risk worksheet (XLSX) to record your own inputs. No form or payment is required. It has no prefilled rates: a blank assumption is a question to investigate, not a zero cost.
Turn your assumptions into a project brief
Write down the one job, the screen list and every outside system before you compare quotes. Our startup development service and the Guestroom case show how a first release was scoped, not a price for your product. Explore software development for startups and the Guestroom case study.
Start with an AI-assisted project brief covering scope, budget, market assumptions and risks. Review its hypotheses before making a commitment.