How much does a Web3 MVP cost?

A Web3 MVP at 137 ranges from €19,000 for a 4-week testnet prototype to €79,000 for an 8-week tokenized product with frontends and integrations. The industry average is €50,000 to €250,000 over three to five months.

How long does it take to build a Web3 MVP?

Four to eight weeks, depending on scope. Industry timelines for the same scope average sixteen weeks.

What is included in a fixed-price MVP?

Fixed-price MVPs include discovery, smart contracts, frontend, wallet and auth integration, tests, and deployment scripts. Audit coordination is included from 6-week scope and up. We absorb the cost of overruns.

Which blockchains do you build on?

We build on Ethereum, Solana, and major EVM and L2 networks including Base, Arbitrum, and Optimism. Chain choice is part of the discovery sprint.

Do you handle smart contract audits?

We write contracts audit-clean from day one and coordinate with external audit firms. AI audit tools catch only about forty percent of what a human audit finds, so independent human review is non-negotiable.

Why not just use AI to generate the code?

In 2026, ninety-two percent of AI-generated codebases ship with at least one critical vulnerability and forty-five percent of AI-written code contains security flaws. In a SaaS app a flaw is a bug. In a smart contract it can drain the entire treasury.

The 2026 elephant in the room

Vibe-coded web3 MVPs are getting drained. Here is what to do instead.

Lovable, Replit, Bolt, and v0 ship a working prototype in a weekend. They also ship contracts that 92% of the time contain at least one critical vulnerability. In a SaaS app that is a bug. In a smart contract it is the entire treasury.

7 min read·Updated April 2026

AI app builders are eating the easy MVP market. Forty percent of new SaaS MVPs in 2026 are vibe-coded. Y Combinator W25 had 25% of its batch on codebases that are 95% AI-generated. For a CRUD app or a dashboard, the math works: build cheap, validate fast, hire engineers later.

For web3 it does not. The economic asymmetry is brutal. A bug in a SaaS app means a refund. A bug in a smart contract means the contract gets drained. The same speed that makes vibe coding a gift to founders in adjacent spaces makes it a liability in this one.

The numbers, from independent research

AI code with critical vulnerabilities

92%

Sherlock Forensics 2026 AI Code Security Report. At least one critical issue per AI-generated codebase.

AI code with security flaws

45%

Independent audit data on AI-generated code. Forty-five percent of files contain a security flaw of some severity.

Issues caught by AI audit tools alone

40%

Trail of Bits research. AI audit tools find 40% of what a full manual audit catches. Novel attack vectors slip past entirely.

Where vibe coding is actually useful

Vibe coding is not the enemy. It is a stage. Used correctly, it is the cheapest validation tool in 2026.

Throwaway prototypes for the deck. A clickable mockup that demonstrates the user flow to investors before any contract gets written. Perfect use of Lovable or v0.
Frontend scaffolding. Component libraries, layouts, design exploration. AI ships the boring 60% in a weekend. Engineers refine the rest.
Internal tools. Admin panels, dashboards, ops tooling. Low stakes, fast iteration, perfect for AI app builders.
Off-chain components. Indexers, APIs, backend logic that does not custody assets. AI accelerates these honestly.

Where vibe coding fails, in concrete terms

The class of problems AI cannot reliably solve in smart contracts:

Reentrancy patterns specific to your contract's state machine. AI knows the OWASP Top 10. Your custom logic is not on that list.
Cross-contract assumptions. AI generates one contract competently. The interaction surface between three contracts under adversarial conditions is where exploits live.
Access control edge cases. Initializer functions, proxy upgrades, role transitions. AI gets these subtly wrong in ways that pass tests but break under attack.
Economic invariants. Whether your AMM, vault, or auction can be drained via flash loan, MEV, or unexpected fee accumulation requires reasoning about value, not syntax.
Novel attack vectors. By definition, AI tools can only catch what they have been trained on. New exploit classes slip past every automated scanner.

The hybrid model that actually works

The right answer in 2026 is not "no AI." It is "AI for leverage, humans for the parts that handle money." This is exactly how we build internally:

AI writes boilerplate. Frontend scaffolding, test stubs, deploy scripts, documentation drafts. Speed without risk.
AI accelerates code review. Cursor and Claude flag obvious issues, propose patches, generate test cases. Faster iteration loops.
Humans own contract logic. Every line that handles funds is written, reviewed, and signed off by a senior engineer. No AI-generated contract reaches mainnet.
Independent audit. A separate firm reviews the contracts before launch. Non-negotiable.

This is the speed of vibe coding without the bill that comes due on launch day.

What this means for cost

Founders sometimes ask why an agency build costs €39k when Lovable was free. The answer is in the numbers above. Forty percent of issues caught by AI audit tools. Ninety-two percent of AI codebases shipping a critical vulnerability. The €39k is not the cost of writing the code. It is the cost of writing code that does not get drained.

Use vibe coding for what it is good for. Use humans for what they are non-negotiable for. The economic asymmetry of on-chain code makes that distinction load-bearing in a way it is not in any other vertical.

AI for the demo. Humans for the contract that holds your TVL.

A scoping call confirms what your prototype does well, what it cannot ship safely, and what a six-week production rebuild looks like.