Launch Your MVP in Days
The best MVP is one that exists. Stop planning and start shipping. These AI builders are optimized for speed, helping you get from idea to launched product as fast as possible.
How fast can you go from zero to deployed?
Does it include what MVPs typically need (auth, database, payments)?
How quickly can you make changes based on feedback?
Can users actually use it, not just view a demo?
Can you collect emails, payments, or user data?
We built the same MVP concept -- a customer feedback collection tool with user accounts, survey creation, response tracking, and a basic analytics dashboard -- on each platform. We measured wall-clock time from first interaction to live deployment, assessed feature completeness of the generated output, and evaluated how quickly we could implement three rounds of simulated user feedback changes.
Time to live deployment -- wall-clock hours from starting the platform to having a working URL that real users could visit and use.
Feature completeness -- how many of the specified MVP features (auth, database, forms, analytics) were functional without additional services.
Iteration speed -- time required to implement three sequential rounds of feature changes based on simulated user feedback.
Production readiness -- whether the deployed MVP could reliably serve real users without crashes, data loss, or downtime.
Cost to reach live MVP -- total spend including platform subscription, hosting, and any required third-party services.
The minimum viable product philosophy has always been about learning, not building. The goal is to put something in front of real users as quickly as possible to validate whether your solution addresses their problem. AI builders have compressed the building phase from months to hours, which means the bottleneck has shifted entirely to the learning phase -- defining what to test, who to test with, and how to interpret feedback. This is a profound change in the startup development lifecycle.
What distinguishes a good MVP from a throwaway prototype is production readiness. A prototype demonstrates a concept; an MVP validates a business. For validation, users need to be able to create accounts, enter real data, complete real workflows, and ideally pay real money. This is where full-stack AI builders like Fabricate differentiate from frontend-only tools. Generating a beautiful interface is necessary but not sufficient -- you need the plumbing that makes the interface functional for real users doing real work.
The speed hierarchy among AI builders for MVP development is instructive. Bolt.new produces a visible prototype fastest -- often within minutes. However, that prototype typically lacks persistence, authentication, and the backend infrastructure needed for user validation. Fabricate takes slightly longer for the initial generation but produces a deployed, functional application that users can actually register for and use. Lovable sits between the two, generating excellent UI with Supabase integration possible but requiring additional configuration.
A critical but often overlooked aspect of MVP building is iteration speed after launch. The first version of any MVP will be wrong in important ways -- that is the entire point of building one. What matters is how quickly you can incorporate feedback. AI builders excel here because you can describe changes in natural language rather than translating feedback into code. Fabricate handles this particularly well for changes that span frontend and backend, such as adding a new data field that requires database schema changes, API updates, and UI modifications simultaneously.
The financial math of AI-built MVPs has changed the venture equation. Previously, founders needed seed funding to afford development. Now, a solo founder can build and launch a production MVP for the cost of a monthly SaaS subscription. This means more ideas get tested, more founders can bootstrap to initial traction before seeking investment, and the overall quality of pitches improves because founders can demonstrate working products rather than slide decks.
Fastest path to a deployed, functional MVP. Describe your product, get a working app.
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Best for: Fastest possible MVP launch
Quick prototypes with deployment. Good for validation.
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Best for: Quick concept validation
Fast UI generation for frontend-focused MVPs.
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Best for: UI-focused MVP validation
AI coding assistance with fast deployment. For technical founders.
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Best for: Technical founders
Visual app builder for mobile MVPs.
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Best for: Mobile app MVPs
Fabricate is the clear winner for MVP development because it produces the most complete, production-ready application in the shortest time. When you need users to create accounts, store data, and interact with a real product -- which is the entire point of an MVP -- Fabricate handles everything in a single platform. The deployed result is not a demo; it is a functional application running on global infrastructure.
Bolt.new earns strong consideration as a complementary tool for the earliest stages of ideation. Its speed at generating visual prototypes is unmatched, making it valuable for testing design concepts and getting initial reactions before investing in a full MVP build. Many founders use Bolt.new for concept validation and then switch to Fabricate for the production MVP.
For technical founders who want architectural control from day one, Cursor with Vercel provides maximum flexibility. This path takes longer -- typically days rather than hours -- but produces a codebase that is fully customized to your exact technical requirements. FlutterFlow occupies a valuable niche for mobile-first MVPs where app store distribution is part of the validation strategy.
This describes a real SaaS MVP comparable to products like Canny or Fider. Fabricate generates the complete application: user authentication for both product teams and their customers, database tables for boards, feedback items, votes, and status tracking, the submission and voting interface, admin prioritization tools, and a public roadmap page. The entire application deploys to Cloudflare in one step.
Build a customer feedback tool for SaaS companies. Product managers can create feedback boards for different products, customers can submit feature requests and bug reports with upvotes, the team can tag and prioritize items, and there is a public roadmap view showing what is planned, in progress, and completed.
“I had been planning my MVP for months, thinking I needed to raise money for a development team. Fabricate let me build and ship the whole thing over a weekend. I had paying customers before I even thought about fundraising.”
James L.
Solo Founder, SaaS
With Fabricate, you can have a working, deployed MVP in hours to days depending on complexity. Traditional development takes weeks to months.
Absolutely. AI-built MVPs are production-quality applications. Many successful companies launched with AI-built initial versions.
Start minimal: core value proposition, user accounts, and a way to collect feedback. Fabricate includes auth and database so you can start collecting real user data immediately.
No. Ship early and iterate based on real user feedback. AI builders make iteration fast, so you can improve quickly after launch.
Yes. AI builders make adding features easy. Just describe what you want to add and the AI implements it.