Which no-code apps make over $10K/month now?

Why is it surprisingly hard to tell which no-code apps really make $10K a month?

Several no-code apps clearly make more than $10K per month today, but the list gets much shorter once we require recent revenue evidence and check whether the product is still genuinely built with no-code.

The problem starts with the label itself. Founders regularly describe products as “built with no-code” even after large parts of the original stack have been replaced. Revenue figures create another mess: MRR, cash collected, lifetime sales and one strong launch month often get mixed together.

Magai shows why both checks matter. The AI workspace became one of the most impressive Bubble success stories, climbing from roughly $3K in first-month revenue to nearly $100K MRR according to founder Dustin Stout. But recent accounts of the company say Bubble eventually became a scaling constraint and Magai was rebuilt on Node.js, Supabase and Vercel. Magai remains great evidence that no-code can launch a large business, although calling the current product a $100K-a-month no-code app would stretch the definition too far.

My AskAI points in the opposite direction. Bubble profiled the company at $25K MRR and 40,000 registered users, then co-founder Alex Rainey publicly said the business had reached roughly $39K MRR. A later founder interview put it around $40K MRR. Bubble still remained an important part of the product.

WrestleAI offers an even newer example. Its founder built the wrestling-coaching app with Rork despite being unable to code and has reported roughly $20K MRR, with considerably more cash arriving in some months because customers prepay annual subscriptions.

Once we make those distinctions, the answer becomes much more useful.

What should actually count as a no-code app?

For this comparison, a no-code app should still depend materially on a visual development platform such as Bubble, Rork or Airtable rather than merely having used one during its first few weeks.

That rule avoids counting almost every modern startup. Using Zapier for an automation, Webflow for a marketing site or Airtable internally does not suddenly make a software company no-code.

We also need room for hybrid products. Formula Bot started in Bubble and later added developers, Make, AWS, Render and other infrastructure. Bubble still played an important role in the application. That remains a convincing no-code case because visual development continued to shape how the product was built and operated.

Magai has moved further away. Dustin Stout has explained that the company ultimately rebuilt the product around Node.js, Supabase and Vercel after running into limits with its Bubble architecture. The no-code origin remains central to Magai's story, while its current stack puts it outside our strictest definition.

So the test throughout this article is fairly simple: could we still reasonably describe the product itself as substantially no-code today?

Which no-code apps are clearly making more than $10K per month now?

My AskAI, Formula Bot, WrestleAI and Data Fetcher are among the clearest current examples we found above $10K a month, while Magai belongs in a separate category because its much larger business has since migrated away from its original no-code stack.

My AskAI has the strongest recent evidence at roughly $40K MRR from founder disclosures. Formula Bot continues to operate well above the threshold, although different public snapshots put its monthly revenue at different levels, including roughly $23K to $26K in more recent accounts. WrestleAI has reported about $20K MRR. Data Fetcher has been reported around $23K per month with roughly 600 paying customers.

The evidence quality varies. These are mostly founder disclosures rather than audited accounts, so we should resist pretending that $23,184 is somehow more knowable than “around $23K.” What matters here is that each business appears comfortably above the $10K line rather than sitting close enough for small reporting differences to change the conclusion.

App	Best recent revenue evidence	Main no-code layer	Current classification
My AskAI	~$40K MRR	Bubble	Strong no-code/hybrid case
Formula Bot	~$23K–$26K/month in recent reports	Bubble	Strong hybrid no-code case
Data Fetcher	~$23K/month	Airtable ecosystem	Strong no-code product case
WrestleAI	~$20K MRR	Rork	Strong current no-code case
Magai	Nearly $100K MRR before/around migration	Originally Bubble	No longer a clean current no-code case

Is My AskAI really making around $40K MRR on Bubble?

Yes, My AskAI is one of the strongest current examples of a Bubble business comfortably above $10K per month, with co-founder Alex Rainey reporting roughly $39K to $40K MRR after an earlier Bubble profile showed $25K.

My AskAI sells AI customer-support software that plugs into tools such as Intercom, Zendesk and HubSpot. The founders, Alex Rainey and Mike Heap, originally used Bubble because Rainey understood software concepts from his consulting background but could not independently code the kind of product they wanted.

The progression is useful. Bubble's own case study reported around $25K in monthly revenue, more than 40,000 registered users and a team of only two. Rainey later replied publicly that the company was already at $39K MRR. A subsequent founder interview put My AskAI at roughly $40K MRR, around $500K annualized, with an 82% gross margin.

That newer figure makes My AskAI more interesting than the older $25K case study suggests. The company added roughly $15K of monthly recurring revenue after already reaching meaningful scale, so Bubble was still present well beyond the MVP phase.

My AskAI also sells into a workflow where the ROI is easy to understand. A business can compare the subscription directly with the cost of support tickets handled by people. That makes $100-plus monthly pricing much easier than trying to persuade thousands of consumers to buy another small subscription.

Is Formula Bot still a real no-code business today?

Yes, Formula Bot still qualifies as a serious no-code success, although the product has become more technically mixed as the company has grown.

David Bressler originally built the Excel-formula generator in Bubble without a conventional engineering team. The product took off quickly, eventually attracting hundreds of thousands of users and expanding far beyond formula generation into data analysis.

Bubble's own account says Bressler started hiring development help after Formula Bot reached roughly $5K MRR. That did not trigger a wholesale rewrite. Instead, he kept Bubble while adding specialist developers and outside infrastructure where it made sense.

Revenue disclosures vary by period. Formula Bot was publicly reported around $26K MRR at one point, while a more recent case study places monthly revenue around $23K. Earlier accounts also documented much larger cumulative revenue milestones.

The small decline between those snapshots is worth keeping rather than smoothing away. Formula Bot operates in a much tougher environment these days because Excel itself, ChatGPT and other AI tools can perform many of the jobs that originally made the product novel. Remaining above $20K a month in that environment tells us more than an old peak figure would.

Formula Bot therefore gives us a different kind of proof from a fast-growing launch. The product has survived several years of AI competition while keeping Bubble in the stack.

Can someone really build a $20K-a-month app with Rork?

Yes, WrestleAI shows that the newer generation of AI app builders can produce a real five-figure monthly business, with its founder reporting roughly $20K MRR from an app built using Rork.

The product analyzes wrestling footage, explains what the athlete did well or badly, and recommends drills. Its founder first tried essentially the same idea with MMA through an app called FightAI.

FightAI stalled at around $2K MRR. Users kept asking whether the product could analyze wrestling, so the founder narrowed the entire proposition around that sport. WrestleAI then grew toward roughly $20K MRR.

The tenfold difference is striking because the technical concept barely changed. Market choice did most of the work.

There is also an important accounting detail. One founder disclosure put cash collected during a recent 31-day period at roughly $38K, much higher than the quoted MRR, because annual subscribers paid upfront. Another later reconstruction estimated monthly revenue in the low-$20K range from more than $130K collected over roughly the first six months.

So approximately $20K is the better comparison figure, not the more exciting $38K cash headline.

Product	Approx. monthly recurring level	What changed
FightAI	~$2K	Broad MMA positioning
WrestleAI	~$20K	Narrow wrestling positioning

How does Data Fetcher make more than $20K a month from such a narrow product?

Data Fetcher shows how far a tiny B2B workflow can go: recent founder-reported figures put the Airtable API connector at roughly $23K per month from around 600 paying customers.

Data Fetcher solves one boring problem. Airtable users often need information from Google Analytics, Stripe, Facebook Ads, APIs, CSV files or other systems inside their bases. Data Fetcher lets them set those connections up without writing API code.

Its current plans run from inexpensive individual tiers to business plans above $100 per month. At roughly 600 paying customers, $23K monthly revenue implies an average of only about $38 per paying account. No huge enterprise contracts are required.

The economics are also unusually attractive. One recent founder-reported dataset puts Data Fetcher's margin around 85%.

This type of product gets less attention than an AI video app because there is little spectacle in moving API data into Airtable. Commercially, though, it has several advantages: users already understand the problem, they search for a solution when they need it, and the app sits inside an ecosystem they already use.

That combination keeps appearing among profitable no-code products.

Are successful no-code apps mostly boring B2B tools?

Mostly, yes. The current examples lean heavily toward SaaS and narrow work tools because a few hundred business customers can produce $10K MRR much more easily than a cheap consumer subscription can.

My AskAI sells customer-support automation. Formula Bot sells productivity and data tools. Data Fetcher connects business data with Airtable. Each product solves a job that companies can attach a monetary value to.

WrestleAI is the interesting exception. Its roughly $10 consumer subscription requires far more subscribers to reach the same revenue level, so its growth depends heavily on wrestling-specific creators and social distribution.

The arithmetic explains why we keep finding B2B products. A $100 monthly app needs only 100 customers to reach $10K MRR. At $10 per month, the founder needs 1,000 continuously paying users.

AI has made the product side easier because no-code founders can call OpenAI, Anthropic and other services through APIs instead of building the underlying intelligence themselves. That has produced products such as My AskAI, Formula Bot and WrestleAI. But the AI layer alone tells us very little about which ones succeed. My AskAI found a costly support workflow, Formula Bot captured a huge spreadsheet-use case, and WrestleAI found an unusually specific audience.

Monthly price	Customers needed for $10K MRR
$10	1,000
$25	400
$50	200
$100	100
$250	40

Is $10K MRR actually common for no-code apps?

No, $10K MRR is achievable enough to produce many credible examples, but it remains a strong result rather than a normal outcome for people building with no-code.

A recent revenue-tracked collection of no-code and AI-built products illustrates the selection problem nicely. Among the projects with clean monthly figures, multiple businesses were already above $10K and the median landed in the five-figure range.

That sounds much more optimistic than reality because the sample begins after success has already occurred. A founder with zero customers and an abandoned Bubble project rarely appears in a public revenue database. Neither do the thousands of experiments that earn $100, then disappear.

The useful conclusion is narrower. Among no-code businesses that find genuine product-market fit, $10K a month no longer looks like some technical ceiling. We can find products doing two, three and four times that amount without massive teams.

Finding the market remains much rarer than building the software.

Can we trust the revenue numbers founders give for no-code apps?

We can trust the direction of the strongest no-code revenue claims much more than their exact dollar amount, so a $20K app should be treated as “comfortably above $10K” rather than as an audited $20,000.00 business.

My AskAI provides relatively good evidence because several disclosures line up over time: Bubble reported $25K monthly revenue, Rainey subsequently said $39K MRR, and a later founder interview reported approximately $40K.

WrestleAI needs more care. The founder has spoken about roughly $20K MRR while also citing $38K collected during one recent 31-day period. Those figures can coexist because annual subscriptions bring cash forward.

Magai is another useful warning. Its founder reported nearly $100K MRR and $1 million in cumulative sales, while one earlier lifetime deal generated more than $100K of gross sales by itself. Lifetime-deal cash, monthly recurring subscriptions and cumulative sales describe three different things.

FounderPal goes even further. It has sometimes appeared in lists of $10K-per-month no-code businesses, but current Stripe-verified data on TrustMRR shows only a few hundred dollars collected over the latest 30-day period and no active subscription MRR, despite more than $200K in lifetime revenue.

That is exactly why this article favors recent recurring figures. A product can truthfully have made $10K in a month at some point without being a $10K-per-month business today.

Do successful no-code apps eventually have to leave no-code?

Some do and some do not. The clearest pattern is gradual replacement of whatever becomes painful rather than an automatic full rewrite once revenue reaches a certain level.

Formula Bot has followed the hybrid route. Bubble stayed in the product while the company added Make, AWS, Render and developer help.

My AskAI has also shown that Bubble can remain useful after the business reaches tens of thousands of dollars in monthly recurring revenue.

Magai eventually took the other route. Dustin Stout has described Bubble as crucial for getting the business launched quickly, yet the growing product eventually ran into architectural limits. Magai's later version moved to Node.js, Supabase and Vercel.

Those three companies are more informative together than any one of them alone. There is clearly no $10K or $50K revenue point where Bubble suddenly stops working. The pressure comes from what the product actually does: background processing, unusual workloads, permissions, complex data flows and heavy AI usage can push a product toward conventional infrastructure earlier.

A simpler SaaS can stay visually built much longer.

And really, that is why the old “no-code versus code” argument feels increasingly outdated. Successful founders tend to keep the fast parts of the visual stack and add custom infrastructure where the trade-off starts making sense.

Does no-code actually explain why these apps crossed $10K a month?

No-code helped these founders reach the market faster, while the difference between a $2K app and a $20K app usually came from distribution, positioning or the value of the problem being solved.

WrestleAI gives us the cleanest experiment. The broad FightAI concept stalled around $2K MRR. Refocusing almost the same idea on wrestling took the business toward $20K. Rork made both versions possible; choosing the better audience created the tenfold revenue jump.

Magai had another advantage entirely. Dustin Stout entered the launch with years of online marketing experience and an email audience approaching 100,000 people. Recent accounts of Magai's growth make that head start pretty clear. Bubble let him build an eight-week MVP without hiring a conventional engineering team, while the audience gave him immediate distribution.

Formula Bot benefited from a different channel. Its simple Excel use case spread rapidly through communities and search because people were already looking for exactly that outcome.

My AskAI moved toward customer support, where companies already spend real money and where integrations with Intercom, Zendesk and HubSpot put the product next to existing budgets.

Across those examples, no-code lowered the cost and time needed to test an idea. The revenue came from finding a market where the product had somewhere to go after it shipped.

What kinds of no-code apps have the best chance of reaching $10K MRR now?

The strongest no-code opportunities today look narrow, easy to explain and tied to either an existing workflow or an audience that can be reached without spending huge amounts on advertising.

Data Fetcher is almost the textbook example. “Connect an API to Airtable without code” explains the product in one sentence and targets people who already have the exact problem.

My AskAI has the same quality. The customer already has support tickets, support software and support costs. The founder does not have to invent the need.

WrestleAI shows that consumer apps can work when the niche is unusually clear. “AI coach for wrestlers” is much easier to distribute through wrestling creators than a generic “AI sports coach” is through broad consumer advertising.

The weaker pattern is the generic AI tool with no built-in acquisition channel. Building another writing assistant or general chatbot has become extremely easy, which also means competitors can reproduce the product quickly.

So the attractive no-code app today is usually smaller in scope than founders first imagine. The market can still be large enough to produce $10K or $20K a month because relatively few paying customers are needed when the product solves an expensive problem.

Which no-code apps really make over $10K per month now?

Yes, real no-code apps currently make more than $10K per month, and the strongest current examples we found include My AskAI at roughly $40K MRR, Formula Bot around the low-to-mid-$20Ks per month in recent reports, Data Fetcher around $23K per month and WrestleAI around $20K MRR.

The fresh check changes one important name from the usual lists. Magai reached nearly $100K MRR after starting on Bubble, making it one of the best demonstrations of what a non-technical founder can launch with no-code. But Magai has since rebuilt on a conventional stack, so we would no longer rank it among the cleanest current no-code apps.

That correction actually makes the overall evidence stronger. We have products above $10K that remain heavily tied to Bubble, a newer Rork-built consumer app around $20K, and an Airtable ecosystem product around $23K. The category no longer depends on one famous historical Bubble story.

The ceiling has moved far beyond $10K. The harder limit still comes from demand. No-code can get a founder into the market incredibly quickly, and these businesses show that the resulting software can support serious revenue. Reaching that revenue still requires a problem people care enough about to pay for month after month.