Which Claude Code apps are making money now?

Are Claude Code apps actually making serious money now?

Yes. Claude Code is currently behind several software businesses reporting tens of thousands of dollars in monthly recurring revenue, with Clairvo already above a $1 million annualized run rate.

The cleanest examples span several markets. Nick Saraev says Clairvo, an AI power dialer built roughly 90% with Claude Code, crossed $1 million ARR. Cameron Trew reported Kleo at $62,000 MRR after rebuilding the paid product with Claude Code in four weeks. Profit AI is around $30,000 in app MRR. Launch Fast also reports roughly $30,000 MRR. AppAlchemy passed $10,000 MRR, while smaller Claude-related tools such as Thorim and Terse are in the low thousands.

Those numbers need some discipline. Most come from founders, dashboards, interviews or Indie Hackers profiles rather than audited accounts. Several successful products were also built with a mix of Claude Code, Cursor, Codex and conventional software.

Still, there are now multiple independent Claude Code-assisted products above $10,000 MRR across sales software, e-commerce analytics, Amazon tools, LinkedIn software and app development. A year ago, a handful of screenshots could have been dismissed as curiosities. There are enough separate cases now to study what the winners have in common.

Product	Latest useful public revenue figure we found	How closely Claude Code is tied to the build
Clairvo	$1M+ ARR	Founder says ~90% of codebase
Kleo	$62K MRR	Paid version rebuilt with Claude Code
Profit AI	~$30K app MRR	Cursor origin; Claude Code heavily used today
Launch Fast	~$30K MRR	Cursor-led MVP; Claude Code in current stack
AppAlchemy	$10K+ MRR	Claude Code and other AI coding tools
Terse	~$1.5K/mo	Built for Claude Code and other agent users

Which products really count as Claude Code apps?

The clearest Claude Code apps are products where Claude Code wrote a large part of the production software or radically changed how the founder could build it. If we stretch the label to every company whose developer happens to use Claude Code, the category becomes meaningless.

Clairvo is the strongest case. Founder Nick Saraev says approximately 90% of the codebase was built with Claude Code. He describes using it to generate hundreds of possible ways to improve call pickup, test the useful ideas and help build the predictive pacing system behind the product.

Kleo also belongs in the core group. CTO Cameron Trew says he rebuilt the paid version from scratch in roughly four weeks and has repeatedly shown Claude Code as his main coding workflow. His stack still included ordinary infrastructure such as Next.js, Vercel, Neon and Inngest. Claude Code accelerated the engineering rather than replacing the rest of the software stack.

Profit AI and Launch Fast need a different label. Profit AI began when Jack Kavanagh exported his e-commerce spreadsheet into Cursor and iterated from there. Launch Fast's first 48-hour version was also primarily built with Cursor. Both founders now use Claude Code heavily, but calling either product a pure Claude Code creation would rewrite their histories.

That distinction is important if we're trying to understand whether Claude Code itself has changed the economics of starting a software business. Clairvo and Kleo are much cleaner evidence than an older SaaS whose founder recently switched coding assistants.

Is Clairvo the biggest clean Claude Code success we can verify?

Clairvo is currently the strongest high-revenue case where the founder explicitly says Claude Code built most of the software: more than $1 million ARR with roughly 90% of the codebase AI-built.

Clairvo sells an AI power dialer to businesses such as HVAC, roofing and plumbing companies. Nick Saraev says pricing is around $250 per salesperson per month and that customers commonly need 50 to 100 or more seats.

The arithmetic explains how a relatively obscure SaaS can get large quickly. One 100-seat account is worth about $25,000 MRR, or $300,000 ARR. Four accounts of that size would already put a company above $1 million in annualized revenue.

Saraev says one Texas HVAC customer went from roughly $3 million to $5 million in monthly business after deploying Clairvo, alongside a 50% to 80% improvement in call pickups depending on the client. Those performance claims come from the founder, so they should be treated accordingly, but they reveal the pricing logic: Clairvo is attached to an activity where a small improvement can be worth far more than the software bill.

Claude Code also played a deeper role here than generating a dashboard. Saraev says the team asked Claude to explore 200 to 300 possible methods for raising call-pickup rates, narrowed that down to five or six useful ideas, then used the tool while building and simulating the predictive pacing algorithm.

Among the cases we found, this is the best example of Claude Code reaching into the core product rather than mainly speeding up frontend development.

Did Claude Code really help Kleo reach $62,000 MRR in a few months?

Yes. Claude Code helped Kleo rebuild a paid SaaS in about four weeks and the company subsequently reported $62,000 MRR, although its distribution makes the case much harder to copy than the build itself.

Kleo already had history before the paid version existed. Its previous free LinkedIn extension had attracted around 60,000 users before LinkedIn sent a cease-and-desist. When the team had to rebuild, Cameron Trew created the new product while cofounders Jake Ward, Lara Acosta and Rob Hoffman brought a large existing LinkedIn audience.

The launch numbers show what that audience was worth. According to the founders' Indie Hackers account, the first 500 discounted beta places sold out in four days. Another 500 sold in nine days at a higher price. The business later reported $62,000 in recurring monthly revenue.

That $62,000 figure is still the latest clean MRR number we can trace back to the founders. A case database that re-checked Kleo's public sources very recently also uses $62,000 and explicitly warns that the number is founder-disclosed and several months old. That's a better description than pretending we have a live Stripe total.

The development story remains remarkable. Trew had around six years of professional engineering experience after studying computer science and had worked on microservices, Kubernetes, authentication systems and other production infrastructure. Claude Code gave an experienced engineer far more output per week.

Kleo shows how much one strong developer can now build. Its revenue story says just as much about the 60,000 previous users and the founders' huge LinkedIn reach.

Is Profit AI really a $30,000 MRR Claude Code app?

Profit AI gives us one of the better-documented $30,000 MRR cases because the founder's reported revenue roughly matches the customer count visible in his Shopify dashboard.

Profit AI helps Shopify merchants understand profitability, advertising spend and financial performance. Its current Shopify listing offers a free tier and a paid plan at $799 per month, or $7,000 annually.

In a founder interview, the on-screen dashboard showed 122 app users, with approximately 38 to 39 paying customers. Multiply 38 to 39 customers by roughly $800 and we get $30,400 to $31,200 per month. That reconciles closely with Jack Kavanagh's rounded claim of $30,000 app MRR. He also reported $147,000 in cumulative app revenue.

There is an uncomfortable number in the same dashboard: 47 installs versus 43 uninstalls. Kavanagh said the company was losing roughly as many customers as it was bringing in at that stage.

So Profit AI had already proven that a few dozen e-commerce companies would pay a very high monthly price. It had not yet proven durable retention.

The build is also less magical than the “one-day Claude Code app” headlines suggest. Kavanagh originally turned a spreadsheet into software using Cursor and says he spent hundreds of hours correcting calculations and teaching the system the financial logic. Claude Code is now one of his main development tools.

The pricing is arguably the more interesting part. At $799 per month, Profit AI needs only 13 customers to cross $10,000 MRR and around 38 to reach $30,000. A $10 consumer app would need 3,000 subscribers to produce the same revenue.

How did Launch Fast get to $30,000 MRR so quickly?

Launch Fast reached a reported $30,000 MRR because founder Hasaam Bhatti combined fast AI-assisted development with something much rarer: direct access to Amazon sellers who already had the exact problem he was solving.

Bhatti ran Amazon brands himself and says each product idea could require 20 to 30 hours of research and spreadsheet work. He had already attempted around ten or twelve other products without meaningful success. Launch Fast was different because he understood the workflow personally.

He built the first usable version in roughly 48 hours. The original MVP relied primarily on Cursor, while Claude Code became part of the broader development stack as the product grew. Launch Fast now handles product research, keyword analysis, supplier research, profitability calculations, listing work and Amazon advertising data.

The reported revenue curve was unusually fast: roughly $10,000 MRR after 30 days, $17,000 to $18,000 after 60 days, $21,800 after 90 days and then around $30,000. A recent reconstruction of the founder's numbers puts the user count at about 330 active paying users.

That implies around $91 per month per payer on average, which is plausible against Launch Fast's current $49, $89 and $199 monthly plans.

The decisive advantage came before the 48-hour coding sprint. Bhatti arranged a relationship with Legacy X, an Amazon seller coaching community, giving Launch Fast immediate exposure to the exact people it was designed for.

His previous dozen attempts are almost as informative as the successful one. AI development skills were already available to him. The breakthrough came when he built inside a market he knew and could reach.

Are B2B Claude Code apps making more money than consumer apps?

Yes. The strongest Claude Code revenue examples we found are concentrated in business and professional software, where a small number of customers can support meaningful recurring revenue.

Clairvo charges around $250 per seat. Profit AI charges $799 per month. Launch Fast reaches $199 on its highest standard monthly tier. Kleo sells to people using LinkedIn for professional visibility and customer acquisition.

Compare those economics with a low-priced consumer utility. A $10 app needs 1,000 subscribers for $10,000 MRR. A product charging $250 needs only 40. At $800, 13 customers are enough.

This explains why some Claude-built products with tiny audiences can still become substantial businesses. Profit AI reportedly had only around 38 to 39 paying customers when it was near $30,000 MRR.

Claude Code makes it easier to supply software. High-value B2B pricing sharply reduces the amount of demand a founder needs to find.

Those two effects are particularly powerful together.

Monthly price	Paying customers needed for $10K MRR	Paying customers needed for $30K MRR
$10	1,000	3,000
$25	400	1,200
$100	100	300
$250	40	120
$800	13	38

Are apps for Claude Code users themselves making money?

Yes, although the Claude Code tooling layer is currently producing much smaller businesses than the strongest apps built with Claude Code.

Terse is a useful example. It monitors sessions in tools such as Claude Code and Cursor, compresses prompts and helps users understand token consumption. Its Indie Hackers page currently shows around $1,500 per month, up from roughly $300 MRR during its first few weeks.

Thorim, which positions itself as an extra decision-making layer around Claude Code and Cursor, has reported revenue in the low thousands per month.

Those are perfectly respectable small software businesses. Their scale is still far below Clairvo, Kleo, Profit AI or Launch Fast.

The gap is interesting because developers often rush toward selling tools to other AI builders. The larger money we can actually observe today sits in ordinary industries: sales calls, Shopify economics, Amazon selling and professional content.

For now, using Claude Code to attack an expensive non-coding problem looks more lucrative than building another accessory for Claude Code.

Can non-developers really build profitable Claude Code businesses now?

Yes. Claude Code and similar coding agents have opened software creation to people without traditional engineering backgrounds, although the people getting the best results still tend to understand their problem extremely well.

Anthropic's own research gives us unusually large-scale evidence here. The company analyzed roughly 400,000 Claude Code sessions from about 235,000 people. In sessions that produced code, software-related professionals reached verified success around 34% of the time versus roughly 29% for people in other occupations. On the looser measure of at least partial success, the figures were 89% and 88%.

The bigger gap appeared between novices and people who understood what they were doing. Novice-rated sessions achieved Anthropic's strict verified-success measure only about 15% of the time. Intermediate and expert sessions were around 28% to 33%.

We can see the same pattern in the businesses.

Hasaam Bhatti had no computer-science background, but he knew Amazon selling deeply. Jack Kavanagh was able to turn Profit AI into a product because he understood the spreadsheet, formulas and e-commerce economics well enough to catch wrong outputs. Cameron Trew came from the other direction: he already had years of engineering experience, so he could review AI-generated code very quickly.

Claude Code has reduced the value of knowing every implementation detail yourself. Knowing whether the result makes sense remains extremely valuable.

Does Claude Code remove the advantage of being an experienced developer?

No. Experienced developers are getting a huge Claude Code productivity boost too, and Kleo shows how powerful that combination can be.

Cameron Trew had been coding since his teens, studied computer science and spent years working professionally before building Kleo's paid version. His advantage with Claude Code was therefore different from Hasaam Bhatti's.

Bhatti could cross a technical barrier that previously would have stopped him. Trew could move through familiar engineering work much faster.

Anthropic's research fits both stories. Users from non-software professions can complete coding tasks at rates surprisingly close to developers, while sessions showing stronger domain expertise still succeed more often. The tool closes one gap while rewarding existing expertise in another way.

We should therefore expect two types of founder to benefit: domain experts who can suddenly build, and strong developers who can suddenly build far more.

The second group is easy to overlook amid all the “non-coder builds SaaS” stories. Yet some of the most impressive Claude Code businesses we found were built by people who already knew exactly how production software should work.

What do the Claude Code apps making real money have in common?

The Claude Code apps making serious money today usually solve a narrow problem with an obvious financial value, sell to people who already spend money in that area, and have a distribution channel that existed before the software became successful.

Clairvo improves a sales activity tied directly to revenue. Profit AI helps merchants understand whether their advertising and operations are actually profitable. Launch Fast reduces research work and bad decisions for Amazon sellers. Kleo sells to professionals who use LinkedIn as a commercial channel.

The products themselves have very little in common technically.

Their economics are much more similar.

The customer can usually explain why the product is worth paying for without first needing to believe in a new consumer behavior. Amazon sellers already research products. Shopify brands already calculate profitability. Sales teams already make calls. Professionals already try to get attention on LinkedIn.

This gives Claude Code somewhere useful to apply its speed. The founders can test features, rebuild products and respond to customers faster while selling into demand that already exists.

That pattern is much stronger in the evidence than any particular framework, model or coding technique.

How many Claude Code apps still make nothing?

Plenty. Recent public launches show that Claude Code can get a product all the way into users' hands while revenue remains at exactly $0.

Smart Budget is a very recent example. Its non-developer founder built four connected personal-finance tools through Claude Code and launched them successfully. The current Indie Hackers profile still shows $0 monthly revenue while the founder tests whether people will eventually pay.

Mazora, which creates structured context for tools such as Claude Code, Cursor and Codex, also shows $0 monthly revenue on Indie Hackers. The founder later wrote that months of development had produced almost no attention because there was no clear distribution channel.

ttapp is even cleaner as a test. Its developer spent about three months building mobile and desktop software that lets users control Claude Code remotely. Android and iOS apps shipped, real users arrived, and a $2.99 monthly subscription was added. The founder then reported that nobody was converting and revenue remained at $0.

These failures make the successful cases easier to interpret. Working software is becoming abundant. People who want that software badly enough to pay for it remain scarce.

That may be the biggest economic change Claude Code creates for small founders: weak ideas can now survive engineering and fail directly in the market.

Is distribution becoming more important than coding for Claude Code founders?

Yes. Once Claude Code makes a respectable first product cheap and fast to build, distribution becomes a much larger part of the difference between $0 and $30,000 MRR.

Kleo arrived with roughly 60,000 previous users and cofounders who collectively had a huge LinkedIn audience. Launch Fast gained access to an existing Amazon seller community. Profit AI initially grew through existing relationships and word of mouth. Clairvo sells directly into businesses where a successful deployment can justify a large contract.

Now compare that with ttapp and Mazora. Both founders managed to create real software. Neither had a reliable path to enough buyers when they described their results publicly.

The contrast is unusually clean because implementation quality no longer separates these cases as neatly as it once would have. Several unsuccessful founders did manage to ship functioning products.

Claude Code is shifting where the hard part sits. A founder can spend a weekend or a few weeks getting surprisingly far on the product while still being months or years away from solving customer acquisition.

Building speed helps most when distribution is waiting for the product rather than the other way around.

Is “built in a weekend with Claude Code” mostly hype?

The weekend-build claim is often technically true and economically misleading. Claude Code can compress the first build dramatically, while the business that eventually makes money usually contains months or years of work that the headline leaves out.

Launch Fast is a good example. Hasaam Bhatti genuinely produced a demonstrable MVP in around 48 hours. The current product later required its own data systems, crawlers, monitoring, infrastructure work and a broader set of Amazon workflows.

Profit AI gets described in similarly compressed language, even though Jack Kavanagh says he spent hundreds of hours correcting financial logic after turning his spreadsheet into software.

Kleo took about four weeks to rebuild, but the team entered that month with 60,000 previous users, experienced founders, years of engineering knowledge and a large audience.

Even Clairvo's coding story begins after the important business decision: choosing a costly problem in call-heavy industries where customers could justify spending thousands of dollars per month.

So the fast-build stories are useful evidence of a real reduction in engineering time. They become misleading when four weeks of coding gets presented as four weeks from ignorance to a mature business.

The code can now appear very quickly. The knowledge behind a good product usually took much longer to acquire.

How much Claude Code app revenue can we actually see today?

We can already identify more than $150,000 in monthly-equivalent revenue from just four of the strongest public Claude Code-related cases, even before counting smaller products or stretching the definition to every business whose developers use the tool.

Clairvo's $1 million ARR converts to roughly $83,000 per month. Add Kleo's reported $62,000 MRR and those two alone reach about $145,000 in monthly run-rate revenue.

Profit AI and Launch Fast each add another roughly $30,000 MRR, although both have more mixed Cursor/Claude Code histories. AppAlchemy adds more than $10,000. Terse and other smaller tools add thousands more.

We should resist producing a grand total. These numbers were disclosed at different times, some businesses use several coding tools, and most revenue claims are founder-reported. Adding everything into a precise “$X million Claude Code economy” would create accuracy we do not possess.

The aggregate is still useful at the order-of-magnitude level. We have moved comfortably beyond a world where the evidence consists of somebody earning $200 from a vibe-coded side project.

Five-figure monthly revenue now appears in several independent cases. Million-dollar annualized revenue exists too. What remains rare is independently verified financial data showing retention, margins and profit over a long period.

Public revenue band	Examples	What we can reasonably conclude
$80K+/mo equivalent	Clairvo	Seven-figure ARR is possible
$20K–$62K MRR	Kleo, Profit AI, Launch Fast, Mentions	Five-figure MRR is recurring across several niches
$10K+ MRR	AppAlchemy	A meaningful middle tier exists
$1K–$5K/mo	Terse and other small tools	Small sustainable businesses are appearing
$0	Smart Budget, Mazora, ttapp at their reported snapshots	Shipping alone still proves very little

Which Claude Code apps are actually making money now?

Claude Code apps are making real money now, but the clearest winners are narrow B2B products rather than random vibe-coded consumer apps. Clairvo is the strongest clean example we found at more than $1 million ARR, Kleo reported $62,000 MRR after its Claude Code rebuild, and hybrid AI-coded businesses such as Profit AI and Launch Fast have each reached roughly $30,000 MRR.

Several smaller products are making thousands per month, so the pattern extends below the headline winners. At the same time, recent launches such as Smart Budget, Mazora and ttapp show the opposite outcome: Claude Code can produce functioning, publicly available software that still makes $0.

Looking across both groups, the dividing line is fairly sharp.

The winners usually start with a problem whose value is already obvious. They sell to businesses or professionals. They can charge enough that dozens or hundreds of customers matter. And, crucially, their founders know where the first customers will come from.

Claude Code then becomes an enormous multiplier. Clairvo can explore and implement product ideas with a tiny team. Cameron Trew can rebuild Kleo in weeks. A non-developer such as Hasaam Bhatti can turn his Amazon expertise into working software. Jack Kavanagh can transform a financial spreadsheet into an $800-per-month SaaS.

That's the real Claude Code business opportunity visible in the public evidence today. The strongest founders are using cheap, fast software production to attack problems that were already expensive before Claude Code existed.

The apps making money give us a pretty clear answer: knowing what to build, who needs it and how to reach them is becoming more valuable precisely because building the software itself has become so much easier.