Who Can Make a Lovable App Production Ready? 6 Firms Compared (2026)

If you built an app with Lovable and real people are about to use it, the firms that make a Lovable app production ready fall into four groups: engineering firms that start with a written assessment, studios that specialize in Lovable and Supabase, small fixed-fee rescue shops, and freelance networks. This roundup names six that say on their own websites, today, that they do this exact work. It covers what actually breaks in a Lovable and Supabase app, gives a starting price only where the firm publishes one, and ends with a five-gate check you can run yourself before you call anybody. Razoyo is listed first because this is Razoyo’s blog, so every other entry says where that firm beats us.

How we picked

Four rules, the same ones we used in our roundup of firms that take a vibe-coded app to production.

1. The firm names Lovable or Supabase production work on its own site. Not “we do AI”, but a page that says what they fix in a Lovable or Supabase app.
2. You can learn what you are buying before you sign. A published scope, process or price ranks above a sales call.
3. The firm is current. Every claim below was checked on that firm’s own live website while writing this, on 13 October 2026.
4. There is a real buyer for whom this firm beats the others. A roundup where one firm wins every row is an ad.

Comparison table

Razoyo, if you want a fixed-price written spec before anyone touches the code

Disclosure: this is Razoyo’s blog, Razoyo wrote this page, and we are biased.

Razoyo is a software engineering firm in The Colony, Texas (Dallas-Fort Worth), taking prototypes and constrained systems into production for clients US-wide since 2011. Our prototype to production page names Lovable directly, alongside Replit and Bolt.new.

We start with a written answer, not a build quote. The Production Spec is $2,500 fixed and answers one question: is this buildable and safe as it stands, and what will it really take to get it there. You get findings, a risk ranking, a remediation plan and a build estimate, and the Spec is yours even if you never hire us. Published timing: “typically weeks, not months.”

After the Spec, our pricing page lists a production build from $10,000 and support from $1,500 a month. Above the Spec, a business analyst puts a level of effort and a budget on each piece of work and gets your confirmation first. No approval, no work. On ownership: once fees are paid you own the code we write for you.

The closest proof is a marketplace Production Spec: a vacation-rental startup wanted a marketplace built, we ran the $2,500 Spec instead, and six weeks later they had a PRD and a working prototype of the host side, with $2,500 the most they ever had at risk. At scale, Spider, the hotel business intelligence platform now part of Lighthouse, grew from an internal tool to more than 10,000 daily users, and we are still its engineering team.

Ideal for

• Founders whose Lovable app already holds real customer data.
• Teams that need a written number before a budget conversation.
• Buyers who want to keep the option of taking the Spec to another firm.
• Companies that want a US firm and a senior engineer from the first call.

Why they stand out

Razoyo publishes its whole price ladder, which almost nobody in this category does. The first paid step is a document you own, so the worst case is that you paid $2,500 to learn the real size of the job.

Pros

• Full price list published, from the free consultation up.
• Fixed-price Production Spec, yours to keep whoever builds it.
• Every piece of work above the Spec is estimated and approved before it starts.
• Since 2011, with production proof at more than 10,000 daily users.
• Covers any AI builder, so a mixed Lovable and Cursor codebase is one engagement.

Cons

• $2,500 is the first paid step, far above the cheapest audits on this page.
• Not a Lovable-only shop: there is no Lovable-specific SEO or rendering package on our menu.
• No EU base, which matters if your users and data must stay in Europe.
• A small senior team, not the right call for forty engineers next quarter.

Verdict: pick Razoyo when you want to know the real size of the job, in writing, before you commit to fixing it.

VeryCreatives, if you are a non-technical founder who wants SEO and speed fixed too

VeryCreatives is a product studio in Budapest that says it has built software since 2013 and shipped more than 80 products. Its Lovable to Production page is one of the most specific in this category. It describes what Lovable generates (a React and Vite frontend on a Supabase backend) and lists five fixes in order: Supabase security and Row Level Security first, then restructuring the GitHub export, then SEO and rendering, then performance, then tests, CI/CD and handover.

The SEO point is worth reading even if you never hire them. A Lovable app renders as an empty shell that fills in with JavaScript, so search crawlers can see a blank page. VeryCreatives adds server-side rendering or pre-rendering so search engines and social previews see your content.

They publish a number: a typical hardening sprint takes 2 to 4 weeks and runs from $5,000 to $15,000, scoped after a free 30-minute code review, with a fixed price and timeline confirmed before work starts. They also say they work with about 12 founders a year, and that the founders, Máté and Ferenc, take the first call.

Ideal for

• Non-technical founders with a Lovable app about to meet users or investors.
• Apps that need to rank in Google, not just work.
• Founders who want to keep prototyping in Lovable while someone owns the backend.

Why they stand out

They publish both a price range and a timeline for the Lovable sprint itself, and they say plainly who they are not for: anyone who needs it done in under a week, or wants a takeover with no code review first.

Pros

• Published sprint price and duration.
• Free code review before any commitment.
• SEO and rendering fixes included, which no other firm here lists for Lovable.
• Founder-led first call.

Cons

• Budapest time zone, so US West Coast overlap is thin.
• About 12 founders a year means you may wait for a slot.
• Not set up for a one-week emergency.

Verdict: pick VeryCreatives when your Lovable app has to be found in search as well as be safe.

The Swarm, if you are in Europe and want someone else to run it under an SLA

The Swarm is a Vienna-based GmbH whose flagship is Vibe-Code Rescue, with a Lovable App Rescue service and a separate Supabase RLS Audit. Its pitch is accountability after launch: it hardens the app, hosts it on infrastructure it operates, and keeps it running under a contractual SLA. It describes itself as deliberately small, senior and European, with more than twenty years of engineering.

The Lovable rescue page lists exactly what a Lovable and Supabase app tends to get wrong: Row Level Security off or full of holes, an anon key that can write, API keys pasted into client code, no staging, no backups and no error tracking. It adds one thing nobody else here leads with: GDPR groundwork, including EU hosting and processing records.

Pricing is published in three steps. A Production Readiness Audit is €1,500 fixed, about a week from repo access, with a written report rating every finding by severity, and the fee counts toward go-live if you proceed. Hardening and go-live starts from €4,500, typically two to four weeks after the audit. Managed operation under an SLA starts from €290 a month.

Ideal for

• European founders with EU users and personal data.
• Founders who do not want to run hosting, patching and on-call themselves.
• Apps where someone has to answer for the live product at 2 a.m.

Why they stand out

Most firms here hand the app back. The Swarm’s model is to keep it, host it and carry the operational risk under a written SLA, which is a different purchase from a one-time fix.

Pros

• Fixed audit price and a flat go-live quote.
• Ongoing operation with response times in writing.
• GDPR and EU hosting built into the offer.
• Supabase RLS audit available on its own.

Cons

• Prices in euros, and the model assumes they host it.
• If you want to run the app yourself afterwards, you are paying for a part you will not use.
• Vienna time zone for US teams.

Verdict: pick The Swarm when you are in Europe and want one company accountable for the live app, not just the fix.

Hubql, if you want a Supabase specialist audit and a fractional CTO

Hubql is a founder-led software studio based in Bangkok. Its Lovable to Production page is unusually Supabase-specific: environment separation with Supabase branching, database role separation, an RLS policy review for every table, an API key audit, auth flow validation, and a performance audit covering missing indexes and N+1 query patterns. It says it has run the Supabase Bangkok Meetup since 2024, and that its founder, Tobias, has more than twelve years of engineering experience, including scaling a startup to more than 70 engineers on Supabase-backed infrastructure.

The process is short and stated: a 30-minute call, a five-business-day audit with access to your Supabase project and GitHub repo, a prioritized findings report written for founders, and an optional one-week hardening sprint. Their wording is blunt: “No rewrite.”

The Lovable audit price is not published. What is published is the rest of the menu: a separate Vibe Coding Audit (a codebase and AI-workflow review) from $750, a Technical Advisor package at $1,500 a month, a Studio Retainer at $3,000 a month, and a Full Sprint from $4,000 a week.

Ideal for

• Apps where the risk is mostly in the Supabase layer.
• Founders who want ongoing senior advice after the fix, without a full-time CTO.
• Teams that will keep building with AI tools and want the workflow reviewed too.

Why they stand out

Hubql reads like a Supabase team first, with community work to show for it, and it pairs the audit with a fractional CTO option from $1,500 a month.

Pros

• Deep, specific Supabase checklist, including performance, not only security.
• Five-business-day audit with a founder-readable report.
• Published monthly advisor and retainer prices.
• Explicitly hardens rather than rewrites.

Cons

• The Lovable audit itself has no published price.
• Bangkok time zone, far from US and European business hours.
• A one-week sprint is tight if the audit finds a data model problem.

Verdict: pick Hubql when the problem is your Supabase setup and you want a senior person on call afterwards.

Afterbuild Labs, if you want the smallest possible first spend

Afterbuild Labs describes itself as a small, senior-only team that rescues and productionizes AI-built apps, built by its principal engineer, Hyder Shah. Its Lovable page names the places Lovable apps break: Supabase RLS off or wrong, auth flows with gaps in password reset and session refresh, Stripe integrations that only handle the happy path, schema changes made in the dashboard with no migration history, and deploys that work in preview and fail in production.

Its pricing page is a menu of fixed fees: a $49 async audit with a severity-ranked PDF in 48 hours, a $299 Emergency Triage for one production bug (refunded if not fixed in 48 hours), a $499 Security Audit covering auth, RLS, data exposure and secrets, a $3,999 refactor to stop the fix-one-break-another loop, $7,499 to finish an MVP over four to six weeks, and a $3,499 a month retainer. It states “No hourly billing,” and says the scope is agreed in writing before you pay.

Ideal for

• Founders who need to know how bad it is for less than the cost of dinner.
• One specific production bug, fixed now.
• Small apps with a narrow, well-understood scope.

Why they stand out

Nobody else here publishes an entry point this low or a refund on a single-bug fix. For a founder who cannot yet justify a four-figure audit, that is a real door.

Pros

• $49 written audit, no call required.
• Fixed fees for every tier, published.
• Refund on the $299 triage if the bug is not fixed in 48 hours.
• Lovable, Supabase and Stripe failure modes named specifically.

Cons

• We could not find where the team is based on its site.
• A $49 or $499 audit is necessarily shallower than a week-long review.
• A small team, so capacity for larger rebuilds is unclear.

Verdict: pick Afterbuild Labs when you need a cheap, fast first read or one bug fixed, and the app is small.

Toptal, if you already have a technical lead and need one vetted Lovable engineer

Toptal is a freelance talent network, not a development agency. It runs a dedicated Hire Lovable Developers page, advertises the top 3% of Lovable developers, and shows a 4.9 out of 5 average client rating for its Lovable developers from 337 reviews. Several of the profiles on that page list Supabase and PostgreSQL alongside Lovable, and one describes taking prototypes and AI-built MVPs to production-grade products.

The mechanics are published: an average time to match under 24 hours, hiring in about 48 hours, a no-risk trial of up to two weeks where you pay only if satisfied, and hourly, part-time or full-time engagements. Toptal says its matching has a 98% trial-to-hire rate. It does not publish rates on that page. For a Lovable app, the honest framing is that Toptal sells access to a person, so the quality of the outcome depends on how well your side writes the brief and reviews the pull requests.

Ideal for

• Teams with a CTO or senior engineer who can specify and review the work.
• Ongoing Lovable development after the security work is done.
• Companies that want to try a person before committing.

Why they stand out

The trial period removes most of the hiring risk, and the speed is hard to beat: a vetted person in days, on whatever schedule you need.

Pros

• Fast matching and a paid-only-if-satisfied trial.
• Flexible hours, from part-time to full-time.
• A global pool, including engineers whose profiles list Supabase.

Cons

• You get a person, not a firm that owns the outcome.
• No published rates on the Lovable page.
• If nobody on your side can judge the work, this is the riskiest option here.

Verdict: pick Toptal when you have the technical judgment in-house and what you lack is hands.

What breaks when a Lovable app meets real users?

The database access rules break first, because a Lovable app’s frontend talks straight to Supabase and those rules are the only thing between a visitor and your data. Lovable’s docs say its built-in backend, Lovable Cloud, uses Supabase’s open-source foundation, or you connect your own Supabase project. Either way, the failures are these:

• Row Level Security off, or on with a policy that lets everyone through. Supabase’s Row Level Security guide says a table in an exposed schema without RLS “is readable and writable by any role with a grant on it.” It also warns that views bypass RLS by default.
• A secret key in the browser. Supabase’s API keys guide splits keys in two. The publishable key (the older name is the anon key) is meant to ship in your frontend. The secret key (the older name is service_role) bypasses Row Level Security, so it “must never leave your control.”
• Auth that works on the happy path. Supabase’s production checklist asks you to enable email confirmations, set a sensible one-time password expiry, protect your Supabase account with MFA and plan for auth rate limits.
• A backend you may not own. Lovable’s docs say there is no one-click migration between Lovable Cloud and your own Supabase project. Know which one your app is on before you hire anyone.

This is not theoretical. In March 2025, researcher Matt Palmer scanned 1,645 Lovable showcase apps and found 303 endpoints across 170 projects, about 10.3%, with inadequate RLS settings. That became CVE-2025-48757, which Lovable disputes on the grounds that each customer is responsible for protecting its own app’s data. Whoever is right about blame, the data is yours to protect.

Is vibe-coded software safe to use in production?

Not by default, and it can be once someone checks it like any other code. Lovable’s own security documentation is candid: its scans “cannot guarantee complete security,” and for apps handling sensitive data it suggests an additional professional security review. Lovable now runs a quick scan on every publish that checks for tables without row-level security, so the 2025 failure is easier to catch than it was. The deeper problem is that a scan can confirm a policy exists, not that it matches who should see what in your business.

The broader research points the same way. Veracode’s 2025 GenAI Code Security Report says AI-generated code “introduced risky security flaws in 45% of tests.” AI writes code that runs; nobody has yet asked whether it is safe. That question is the work.

How do you harden an AI-generated codebase for real users?

Run Razoyo’s Five-Gate Production Check against it, then fix the gates that fail, in order. These are the five gates we published in our vibe-coded roundup, written out for a Lovable and Supabase app. Each gate is pass or fail, and every fail is a line item on the quote you are about to receive.

1. Access model. Name every role and what each can do, without reading the code. Then sign in as one user and request another user’s rows straight from the Supabase API, not through the screens. Run the Security Advisor in the Supabase dashboard, which flags tables with RLS disabled in the public schema and overly permissive policies. Fail if “who can see this data” answers to “everyone who can log in.”
2. Secrets. Search the repository for key, secret, password and token, then open your live site in the browser’s developer tools and search the JavaScript for service_role, sb_secret_ and any payment or email provider key. The publishable key being there is by design. A secret key there is a fail, and rotating it is job one.
3. Tests. Change a value that should be invalid and try to save it. If nothing objects, cover the money paths first: signup, payment, permissions, anything that writes. For Supabase, that includes tests that assert who is allowed and who is denied on every table, which Supabase’s own RLS guide recommends.
4. Deploy path. Time how long a one-word change takes to reach users, then how long to pull it back out. In a Lovable app, also ask whether schema changes live in migrations or were made by hand in the dashboard. A bad release that cannot be reversed in minutes is a fail.
5. Monitoring. Ask how you found out about the last outage. If a customer told you, you are not monitoring, you are being monitored.

Four or five gates passed means hardening. Two or fewer means a rebuild of the core, whatever the invoice calls it. If you want the full version, our AI-generated code audit checks the same ground across seven dimensions and returns it as a Production Spec.

Our AI-built app has no tests and no auth. Who do we hire?

Hire for the gap you have, and fix access first, because an app with no auth is exposing data today. If nobody on your side can judge code, hire a firm that owns the outcome and starts with a written assessment: Razoyo, VeryCreatives, The Swarm or Hubql on this list. If you have a technical lead, a vetted freelancer from Toptal is usually cheaper and faster. If you have neither the budget nor the lead, a $49 or $499 audit from Afterbuild Labs at least tells you how deep the hole is. And if you need ongoing technical judgment more than a project, read our page on a fractional CTO for non-technical founders.

What does it cost to make a Lovable app production ready?

Published prices run from $49 for a written audit to $15,000 for a hardening sprint; your number depends on how much of the Supabase schema survives review.

Distrust any build price given before someone reads your code. For what drives it, see what it costs to take an AI-built prototype to production, and if the data model turns out to be the problem, rewrite versus refactor.

Key takeaways

• Row Level Security is the first thing to check. In a Lovable app the browser talks to Supabase directly, so the database rules are the security.
• The publishable key in your frontend is fine; a secret key there is not. The secret key bypasses every RLS policy you wrote.
• A scan proves a policy exists, not that it is right. Test it by reading another user’s rows yourself.
• Match the firm to the gap. Specialists for Supabase, an SLA shop for operations, a freelancer only if you can review the work.
• Get the size of the job in writing first. A written assessment you own is cheaper than a build that started on a guess.

Key terms glossary

• Lovable. An AI app builder that generates a React frontend on a Supabase backend from prompts.
• Lovable Cloud. Lovable’s built-in backend, based on Supabase, used unless you connect your own Supabase project.
• Supabase. A hosted Postgres database with auth, storage and serverless functions, underneath Lovable apps whether through Lovable Cloud or your own project.
• Row Level Security (RLS). Postgres rules that decide which rows each user can read or change.
• Publishable key. The Supabase key meant to ship in your frontend; the older name is the anon key.
• Secret key. The Supabase key with full access that bypasses RLS; the older name is service_role.
• Production Spec. Razoyo’s $2,500 fixed-price assessment of an AI-built app: findings, risk ranking, remediation plan and build estimate.

FAQ

Can a Lovable app be used in production? Yes, after someone has checked and fixed the backend. Lovable produces a working React and Supabase app, and the gaps are usually in database access rules, secrets, auth settings, tests and deployment. Once those are closed, it runs like any other React and Supabase product.

Is vibe-coded software safe to use in production? Not by default. Lovable’s own documentation says its scans cannot guarantee complete security and suggests a professional review for apps handling sensitive data. Veracode’s 2025 research found AI-generated code introduced risky security flaws in 45% of tests. It becomes safe the same way any code does: someone checks it.

What is the most common security problem in a Lovable app? Missing or overly permissive Row Level Security in Supabase. A 2025 scan of 1,645 Lovable showcase apps found 303 endpoints across 170 projects with inadequate RLS settings. Supabase’s documentation says a table in an exposed schema without RLS is readable and writable by any role with a grant on it.

Is the Supabase key in my Lovable frontend a leak? Not if it is the publishable key, also called the anon key, which Supabase designs to ship in the browser. It only becomes dangerous when Row Level Security is missing. A secret key, also called the service_role key, in the frontend is a leak, because it bypasses every RLS policy, and it should be rotated immediately.

Is Lovable’s built-in security scan enough? It is a good baseline, not a review. Lovable’s quick scan runs on every publish and flags tables without row-level security, but a scan can confirm a policy exists, not that it matches who should see what in your business. Test it yourself by signing in as one user and requesting another user’s data.

How much does it cost to make a Lovable app production ready? Published prices run from $49 for an async audit at Afterbuild Labs to $5,000 to $15,000 for a hardening sprint at VeryCreatives. The Swarm publishes a 1,500 euro audit and go-live from 4,500 euros. Razoyo publishes a $2,500 fixed Production Spec and a production build from $10,000.

Our AI-built app has no tests and no auth. Where do we start? Start with access, because an app with no auth is exposing data now. Add authentication and Row Level Security, rotate any secret that was in the code, then add tests on the money paths: signup, payment, permissions and anything that writes. A written assessment first tells you whether that is hardening or a rebuild of the core.

Talk it through

If your Lovable app already holds customer data and you cannot say for certain who can read it, that is the exact conversation we have on a first call. We will walk the five gates against your app, tell you which ones fail, and say whether it needs a $49 audit somewhere else, a Production Spec from us, or nothing yet. Schedule Free Consultation. The first 30 minutes are free, and if you do not need us yet, that is what you will hear. Or read how our process works first.

Paul Byrne is President of Razoyo, a software engineering firm in The Colony, Texas taking prototypes and constrained systems into production since 2011.