Which tiny SaaS make over $10K/month now?

Which tiny SaaS are actually making over $10K/month now?

Quite a few tiny SaaS businesses still make more than $10,000 a month today, but the credible list gets much shorter once we require recent revenue evidence and a genuinely small team.

Indie SaaS revenue figures age badly. A founder announces $20,000 MRR, the number gets copied into directories and case studies, and two years later Google still presents it as if it were current. Some businesses kept growing. Others stalled, were sold, hired substantially, or started shrinking.

We therefore looked for recent founder disclosures, company updates and payment-linked data where available. Tally is one of the clearest examples: its own company blog reported $422,000 MRR, equivalent to just over $5 million ARR, with 11 people. ScreenshotOne has a much smaller but fresher number: a founder-reported $20,000 MRR figure was still being checked by IdeaWave in recent days. HabitKit is even more useful because TrustMRR currently shows $31,759 MRR connected to RevenueCat rather than relying solely on a founder interview.

Plausible Analytics also clearly belongs here even though it no longer publishes precise monthly revenue. The company says more than 20,000 customers currently pay for its analytics product, the business remains profitable and self-funded, and the entire team is ten people. Plausible had already crossed $1 million ARR years ago, so the $10,000-per-month threshold is no longer remotely close.

The harder cases are businesses such as NoteForms, Liinks and Bannerbear. All have credible evidence of crossing $10,000 per month, but their cleanest public revenue disclosures are older. We can still use them to understand how tiny SaaS businesses reach this scale, but we should not pretend an old screenshot tells us today's exact MRR.

Tiny SaaS	Latest useful public revenue evidence	Team size / structure	How confident are we today?
Tally	~$422K MRR	11 people	Very high
HabitKit	~$31.8K MRR	Solo founder	Very high
ScreenshotOne	~$20K MRR	Solo founder	High
Plausible Analytics	Well above $1M ARR historically; 20K+ paying customers today	10 people	Very high that it exceeds $10K
Photo AI	~$80K/month in latest founder-displayed figures	Solo founder	High
Revid AI	~$680K MRR	4 people	Medium-high; founder-reported
Liinks	~$26K/month at last detailed disclosure	Solo founder	Medium
NoteForms	~$37K/month at last detailed disclosure	Originally solo	Medium

What should actually count as a tiny SaaS?

For this article, tiny SaaS means roughly one to ten people, with a little flexibility for a company such as Tally at 11 people. The point is to find software businesses producing unusually large revenue with unusually little organizational overhead.

A $20,000-MRR startup with 25 employees does not tell us much about tiny SaaS. A solo founder making $20,000 or $30,000 every month does.

ScreenshotOne fits almost perfectly. Dmytro Krasun runs an API that takes website screenshots, creates PDFs and records browser output. Recent tracking still puts the product around $20,000 MRR, and ScreenshotOne's own product updates say it is currently processing millions of screenshots every month.

HabitKit is an even cleaner solo example. Sebastian Röhl built a visual habit-tracking app rather than a complicated enterprise tool, yet RevenueCat-linked data recently showed more than $31,000 MRR.

Tally stretches our definition slightly with 11 people, although that is exactly why it is useful. The form builder has crossed $5 million ARR while deliberately keeping the organization tiny. Roughly $455,000 of annual recurring revenue per employee puts it in a completely different operating model from conventional venture-backed SaaS.

So we are using “tiny” to describe the company operating the software, rather than the size of its revenue.

Can one person really run a SaaS making more than $10K/month today?

Yes. Current examples show that a solo SaaS founder can get well beyond $10,000 per month without immediately hiring a conventional team.

HabitKit is the strongest fresh example we found. Its RevenueCat-linked MRR recently stood at $31,759. That is more than $380,000 in annualized recurring revenue for a mobile app still associated with a solo founder.

ScreenshotOne is another. Recent monitoring shows about $20,000 MRR, while the company says it now handles millions of screenshots each month. That combination is more interesting than an old launch story because it shows a one-person developer business operating meaningful infrastructure at real commercial scale.

Photo AI goes considerably further. Pieter Levels disclosed earlier this year that Photo AI was making $105,000 per month in revenue and about $80,000 in monthly profit. His more recent public profile has shown the product closer to $80,000 per month, so the business appears to have declined by roughly a quarter from that disclosure. Even after the drop, it remains an unusually large solo software business.

Liinks provides a non-AI comparison. Founder Charlie Clark previously disclosed about $26,000 monthly revenue from more than 5,300 paying customers while operating the link-in-bio product alone. The figure is less recent than HabitKit or ScreenshotOne, so we would not call $26,000 its exact current revenue. What it proves is that solo SaaS at this scale existed well before the latest AI tooling made one-person development fashionable.

The $10,000 threshold is settled. Solo founders can get there. The more interesting question is how far above it they can go before support, product complexity and operations finally force them to hire.

How far can a tiny SaaS grow without becoming a normal company?

Tally shows that a tiny SaaS can reach several million dollars in recurring revenue before headcount begins to look anything like a conventional software company.

The company's own updates give us an unusually clean growth curve. Tally reached $10,000 MRR in 2022, $100,000 in 2024, $258,000 in mid-2025, $338,000 later that year, about $358,000 at the start of 2026 and $422,000 a few months later. The latest milestone equals just over $5 million ARR.

Headcount barely followed the same curve. Tally had eight people around the $3 million ARR mark, ten around $4 million and 11 when it crossed $5 million. Revenue increased roughly fivefold between $1 million and $5 million ARR without anything close to a fivefold increase in staff.

Plausible Analytics has followed a similarly lean path. The company says more than 20,000 paying subscribers currently use Plausible, yet its team remains at ten. It is self-funded and profitable, with subscription revenue funding the entire operation.

Revid AI shows what the AI version can look like. A founder disclosure put the short-video SaaS at roughly $680,000 MRR with four people. We should give that number less confidence than Tally's company-published revenue history because it has not been independently payment-verified. Even with that caveat, the scale is striking: the claimed annual run rate is above $8 million.

Tiny teams are plainly no longer confined to tiny businesses once software, automation and distribution carry enough of the workload.

Are AI SaaS products taking over the $10K/month tiny-SaaS club?

AI has created some spectacular tiny-team businesses lately, but the current evidence does not support the idea that AI has taken over tiny SaaS.

Revid AI is the obvious outlier. Its founders have publicly stated around $680,000 MRR with four people. Photo AI remains around $80,000 per month according to Pieter Levels' latest public revenue display, despite falling from the $105,000 he disclosed earlier this year.

Those numbers are much larger than the $10,000 threshold, yet some of the strongest businesses in our sample barely depend on generative AI at all. Tally sells forms. Plausible sells web analytics. ScreenshotOne automates browser screenshots and PDFs. HabitKit tracks habits. Liinks builds link pages.

The non-AI companies also give us longer operating histories. Tally has climbed through successive revenue milestones for years. Plausible has remained profitable while growing to more than 20,000 paying customers. ScreenshotOne has moved from the first few thousand dollars of MRR to a business handling millions of screenshots monthly.

AI can compress product development and produce extraordinary revenue per employee. It also creates a new source of instability. Photo AI's recent revenue decline is a useful reminder: a tiny AI product can move from $105,000 to around $80,000 per month surprisingly quickly while new models and competitors keep improving.

Right now, AI is producing some of the biggest tiny-SaaS numbers. The durable $10K-plus club is much broader.

Does a tiny SaaS need thousands of customers to reach $10K/month?

No. A tiny SaaS can cross $10,000 per month with a few hundred business customers, while cheap consumer products may need thousands of paying users to reach the same number.

Liinks shows the high-volume version. At its detailed founder disclosure, roughly 5,300 paying customers produced more than $25,000 monthly revenue. That works out to less than $5 per paying account each month.

ScreenshotOne operates differently. Historical customer and MRR disclosures have implied monthly revenue per account in the tens of dollars. A developer tool charging around $40 to $50 per customer only needs roughly 200 to 250 comparable accounts to cross $10,000 MRR.

Earlier figures from Checkout Page made the contrast even clearer. At roughly $13,000 MRR, the payments SaaS had around 250 customers, implying about $52 per account per month. Around 190 customers with similar economics would already produce $10,000 MRR.

This is one reason narrow B2B SaaS keeps appearing in tiny-team success stories. A founder does not need millions of users. Two hundred customers paying $50 each create the same top-line MRR as 2,000 customers paying $5.

Model	Approximate customers needed for $10K MRR
$5/month consumer SaaS	2,000
$10/month prosumer SaaS	1,000
$25/month niche SaaS	400
$50/month B2B SaaS	200
$100/month B2B SaaS	100

Why do boring tiny SaaS businesses keep making serious money?

Boring tiny SaaS works because customers often pay more reliably to remove a repetitive operational problem than to try another broad productivity tool.

ScreenshotOne sells automated screenshots. The basic idea sounds small, yet customers using screenshots inside monitoring systems, reporting tools, social previews and automated workflows need the API to keep working every day. ScreenshotOne now says it processes millions of screenshots each month.

Stagetimer followed the same logic in event production. The product began around a simple problem: crews needed to show speakers synchronized countdown timers remotely. That narrow use case eventually supported reported revenue above $10,000 per month without requiring the company to become a broad event-management suite.

NoteForms started with another seemingly small gap. Julien Nahum built a way to send form submissions directly into Notion shortly after Notion opened its API. A product reportedly built in a few days eventually reached around $37,000 per month.

These businesses have something useful in common: you can explain the customer problem in one sentence. When the job is narrow, founders can keep the interface, support burden and roadmap under control for much longer.

The boring part is often exactly what makes the company manageable.

How are tiny SaaS founders finding enough customers without big sales teams?

Tiny SaaS businesses above $10,000 per month usually have a distribution channel that keeps working without adding another salesperson every time revenue grows.

Tally gets part of that advantage directly from the product. People create forms and send them to other people, which repeatedly exposes new users to Tally. The company has also spent years publishing searchable content and templates around form-building jobs. More than one million people have now used the product.

ScreenshotOne benefits from developer search traffic and a technically specific problem. Someone looking for a website screenshot API already knows what they need. Krasun can therefore publish documentation and articles around high-intent searches instead of building a large outbound-sales operation.

HabitKit gets another kind of compounding distribution through mobile app stores. Ranking for habit-tracker searches puts the product in front of people who already intend to install something in that category.

Revid AI appears to have pushed this model particularly hard. SaaS Distribution recently counted hundreds of free-tool pages plus almost 1,900 localized pages across six languages on Revid's site. The product uses free utilities around high-intent video searches to bring people into the paid product.

Plausible took the slowest route. The company says it has never spent money on advertising, affiliates or paid endorsements. More than 20,000 customers now pay for the product anyway.

There is no single acquisition trick here. The common feature is leverage: search pages, shared forms, app-store rankings, developer documentation and free tools keep generating discovery after the founder has created them.

Does $10K MRR mean the founder is actually making $10K every month?

No. When a tiny SaaS claims $10,000 MRR, we still need to check whether the number represents recurring subscriptions, total revenue, annual contracts divided by twelve or a temporary run rate.

HabitKit illustrates why. The app has historically sold both subscriptions and lifetime purchases. A month with $20,000 of cash receipts could therefore contain considerably less than $20,000 of recurring revenue. The newer RevenueCat-linked figure is more useful because it reports about $31,759 specifically as MRR.

Photo AI creates a different issue. Pieter Levels has often shared current monthly revenue figures rather than strict subscription MRR. His $105,000 monthly revenue and $80,000 profit disclosure was extremely useful, but calling the entire $105,000 “MRR” would imply more precision about the revenue structure than the disclosure gives us.

Annual contracts create another distortion. A customer might pay $1,200 upfront, while a SaaS dashboard reports $100 MRR by spreading that payment over 12 months. The reverse can happen when someone talks about a record cash month as though it represents a stable run rate.

For this reason, we give the most weight to genuine subscription MRR and clearly labelled monthly revenue. Mixing the two is how impressive founder numbers become misleading.

Are these $10K-plus tiny SaaS businesses actually profitable?

Several of the best tiny SaaS examples are clearly profitable, and keeping headcount low is a big reason the economics can become so attractive.

Photo AI gives us the rare case where the founder disclosed both revenue and profit. Pieter Levels reported $105,000 monthly revenue and $80,000 monthly profit earlier this year, roughly a 76% margin. Revenue has since moved lower, so we should not carry that exact profit number forward, but it shows the economics the business achieved at that point.

Tally says it is profitable and fully bootstrapped. At more than $5 million ARR with 11 people, payroll can be substantial without consuming revenue at the rate we would expect from a conventional SaaS organization of similar scale.

Plausible is equally explicit: the company describes itself as profitable, self-funded and financed entirely through subscriptions. Ten employees serve more than 20,000 paying subscribers.

AI businesses make comparisons trickier because model inference can create meaningful variable costs. Levels previously disclosed tens of thousands of dollars of GPU expense across his AI products. A conventional SaaS charging for forms or analytics can have much lighter incremental costs.

Revenue per employee is useful. Profit is the number that ultimately separates a great tiny business from an impressive-looking revenue screenshot.

Can these tiny SaaS businesses keep their revenue, or does it disappear quickly?

Some tiny SaaS businesses have held their revenue for years, while recent evidence from AI products and other indie businesses shows that high MRR can also fall surprisingly fast.

Photo AI is one of the clearest current examples. Levels disclosed $105,000 monthly revenue earlier this year. More recent figures displayed publicly by the founder put it around $80,000. That is a drop of roughly 24%.

Bank Statement Converter gives us another recent warning. Founder Angus Cheng wrote that revenue was down 24% from its February peak and MRR was down 12%. His own monthly data showed MRR growth turning negative in the spring and remaining negative through the latest reported months.

Those declines make Tally's trajectory more interesting. Tally moved from $100,000 MRR to $150,000, $175,000, $258,000, $338,000, $358,000 and eventually $422,000 across successive company disclosures. We are looking at repeated increases across several years rather than one viral month.

Plausible belongs in the durable group as well. Its exact current MRR is private, but the company has gone from $1 million ARR years ago to more than 20,000 paying customers today while remaining profitable.

Getting above $10,000 once is much easier to prove than staying there. For the strongest examples, we want repeated evidence across different periods.

What usually threatens a tiny SaaS once it starts working?

Platform dependence is probably the most recurring weakness because tiny SaaS founders routinely build on somebody else's distribution, API, marketplace or AI model.

NoteForms benefited enormously from Notion. The Notion ecosystem gave Julien Nahum both the underlying API and a community of potential users. The same dependency means Notion can eventually build more functionality itself or change the economics around third-party tools.

HabitKit depends heavily on Apple and Google for mobile distribution and payments. ScreenshotOne depends on browsers and cloud infrastructure behaving reliably. AI products such as Photo AI depend on outside model ecosystems whose price and quality can change very quickly.

Competition can arrive from the platform itself as well. AI headshot businesses enjoyed extraordinary demand when image generation remained technically difficult. As foundation models became much better at producing realistic images directly, the gap those specialized products filled became narrower.

Tiny companies accept these dependencies partly because the alternative would require much larger teams. Stripe handles payments, Apple distributes apps, cloud providers run infrastructure, Notion supplies an ecosystem and AI labs supply models.

That trade can be extremely profitable. It also means a founder sometimes wakes up to find that somebody else's product update has changed the economics of the business.

Which tiny SaaS examples should we be careful about calling “current”?

Liinks, NoteForms, Bannerbear and several famous indie SaaS businesses definitely crossed $10,000 per month, but their most widely quoted exact revenue numbers are too old for us to present them as today's MRR.

Liinks is a good example. Charlie Clark gave a detailed account showing roughly $26,000 monthly revenue, 5,300-plus paying customers and one employee. It is an excellent case study of solo SaaS economics. We simply do not have an equally clean current revenue disclosure.

NoteForms has been repeatedly reported around $37,000 per month, based on Julien Nahum's public account of the business. A recent case study still uses that figure but explicitly notes that the numbers reflect the period of the original disclosure rather than a live revenue feed.

Bannerbear has a well-documented founder history through $10,000, $20,000 and eventually more than $50,000 MRR. Its current exact MRR is much less visible.

By contrast, HabitKit's recent RevenueCat-linked number, ScreenshotOne's recently rechecked founder figure and Tally's company-published $5 million ARR milestone give us much stronger evidence for a “now” article.

We would rather have eight solid examples than twenty names held together by stale screenshots.

Which tiny SaaS make over $10K/month now?

The clearest answer today is that Tally, HabitKit, ScreenshotOne, Plausible Analytics, Photo AI and Revid AI are all comfortably above $10,000 per month based on recent enough evidence, although the strength of that evidence varies from payment-linked data to founder disclosures.

Tally is the standout if we care about how far a tiny team can scale. Its latest company update put the form builder around $422,000 MRR and $5 million ARR with 11 people.

HabitKit gives us the cleanest small-scale solo example. Recent RevenueCat-linked tracking shows roughly $31,759 MRR.

ScreenshotOne is another convincing solo SaaS, with a recent founder-reported figure around $20,000 MRR and millions of screenshots being processed each month.

Photo AI remains much larger at roughly $80,000 monthly revenue according to the latest public founder figures, although its decline from $105,000 earlier this year makes it a useful warning against treating old peaks as permanent.

Plausible is impossible to place precisely because the company no longer publishes current MRR, but more than 20,000 paying subscribers, a ten-person team and continued profitability put it safely above our threshold.

Revid AI has the biggest claimed figure among our tiny teams at roughly $680,000 MRR with four people. We rank the confidence below Tally or HabitKit because the number remains founder-reported rather than payment-verified.

The broader conclusion is quite sharp. Making $10,000 a month with a tiny SaaS is no longer the surprising part. We can verify solo products above $20,000 and $30,000, another around $80,000, and tiny teams running software businesses worth several million dollars of annual recurring revenue.

What separates the strongest examples these days is durability. Tally has kept climbing. Plausible has accumulated more than 20,000 subscribers while staying profitable. ScreenshotOne is processing millions of requests and still sits above the threshold. HabitKit has fresh payment-linked revenue rather than an old founder anecdote.

Those are the tiny SaaS businesses worth paying attention to now: small enough that we can still understand how they operate, but large enough that $10,000 a month has become the floor rather than the achievement.