We first wrote this guide in 2021. It said the micro-SaaS market was growing fast and that now was the time to start. Both were true and neither helped anyone decide anything. This version replaces the cheerleading with numbers: what a micro-SaaS is, how long the public examples took to earn real money, how many customers a target needs at common prices, and what the large data sets say about the odds. We've also folded in our short 2021 piece on why micro-SaaS is the future, which made the same argument with less evidence.
What "micro-SaaS" means
The term is usually credited to Tyler Tringas, who built the store-locator app Storemapper. In his own words, a micro-SaaS is "a software as a service business owned and operated by one person or a small team" (Tringas). He lists what makes the model attractive: it can run from anywhere, margins are high, risk is low and revenue repeats every month.
Two things in that definition matter more than the size of the market:
- The team stays tiny. Every decision below follows from having one to five people. You can't run ten marketing channels, support three customer types or build a platform.
- The product does one job for one group. The 2021 version of this post put it as "solve one problem with a single solution". That still holds, but "one group" is the part people skip. A scheduling tool is not a micro-SaaS idea. A scheduling tool for dog groomers in the UK, which knows about breed-based appointment lengths, is.
Three public examples, and how long they took
Most micro-SaaS success stories online are screenshots of a dashboard. We looked for examples where the founder or company published the numbers themselves, with dates, so you can check them.
Storemapper. Tringas started it in 2012 with no outside money. By 2017 it was making about $50,000 a month in recurring revenue with a team of five, and he sold it that year (Built to Sell). The product let small brands show shoppers which nearby stores carried their goods: one job, for one kind of customer. That is roughly five years from start to a sale.
Plausible Analytics. Uku Taht started Plausible in December 2018, and paid plans launched in 2019 (Plausible). The company's own post on its $1 million ARR milestone says it reached $83,637 MRR on 2 June 2022, with more than 7,000 paying subscribers and a team of four (Plausible blog). Its About page now lists more than 22,000 paying subscribers and a team of ten, says it has never paid for advertising, and that it is self-funded and profitable.
Our arithmetic on those 2022 numbers: $83,637 ÷ 7,000 is about $12 a subscriber a month. Plausible did not get to $1 million with big contracts. It got there with thousands of small ones, about three years after paid plans launched.
Bannerbear. The image-generation API ran as an "open startup" with public metrics and wrote about growing to $50K MRR in a July 2023 post. Its open page now says it shares only selected metrics (Bannerbear). That is worth knowing too: public revenue pages are self-reported and often stop being updated, so treat any number without a date as a story, not data.
What the three have in common: a narrow job, no outside funding, and years, not months, between the first sale and a business that could pay a team.
The odds, from a large data set
Three examples are survivors by definition. For the base rate, the best public data we found is ChartMogul's study with Kyle Poyar of 6,525 software companies, published in October 2025 (ChartMogul). Counting from the first revenue:
- 3.3% reached $1 million ARR within a year;
- 13.4% within three years, and 25.1% within five;
- almost half got there within ten years, and about one in ten reached $10 million.
Two caveats before you read too much into it. The companies in the study use a subscription analytics product, so they had already found paying customers and cared enough to measure them; the real odds from "idea" are lower. And the study counts companies, not founders' goals. A one-person product at $8,000 MRR is a very good outcome for its owner and a "failure to reach $1M" in this table.
Put next to the examples, the data agrees: Plausible (about three years from paid plans to $1M ARR) and Storemapper (about five years to $600,000 a year) both sit in the normal range, not the outlier one.
The calculation: customers needed for a target
The useful question for a micro-SaaS isn't "how big is the market?" It's "how many people must pay me, and how many new ones do I need every month to stay there?" Here is the arithmetic for a $5,000 MRR target. We assumed 5% of customers cancel each month; that is an assumption for the example, not a benchmark, so put in your own.
| Price per month | Customers for $5,000 MRR | New customers a month just to replace 5% churn |
|---|---|---|
| $9 | 556 | 28 |
| $29 | 173 | 9 |
| $99 | 51 | 3 |
What it means in practice:
- At $9, you are running a marketing business. Finding 28 new paying customers every month, forever, just to stand still takes steady search traffic or a large audience. Card fees also bite harder on small prices; we worked them out in merchant of record fees at $9, $29 and $99.
- At $99, you are running a sales business. Three new customers a month is easy to say, but at that price people want a demo, an invoice and a reason to trust a small company.
- $29 to $49 is where most solo products land, because it leaves room for both: enough customers to learn from, few enough that support stays manageable.
Our MRR calculator does this for a mix of plans, and the unit economics calculator adds what each customer costs to win.
How to start, in the order that saves the most time
- Pick the customer before the product. The 2021 version of this guide said to play to your own expertise, and that is still the best filter. If you've worked in a trade, you know its paperwork, its jargon and where its people talk.
- Look for a rule, a format or a country. Small products earn where a big tool doesn't bother: one country's tax form, one industry's compliance step, one integration nobody maintains. These problems are boring, specific and easy to explain in a sentence.
- Test demand before you build. Our idea validation guide covers what desk research can and can't prove, and what a cheap test can. The short version: a pre-order or a paid pilot is evidence; a "sounds great" is not.
- Build the smallest thing that does the job end to end. Our post on when to launch an MVP covers how small that can be.
- Charge from day one. Free users tell you what people will use; paying ones tell you what they'll keep. Both examples above earned from small subscriptions, not from free users converted years later.
- Pick one channel and stay with it for six months. For a one-person company, search content, a marketplace listing (Shopify, WordPress, Slack), or the community where your customers already talk usually beats spreading thin across social media and ads. Plausible says it grew without paid advertising (Plausible).
- Know your runway. If the base rate is two to five years to a meaningful number, the product has to be something you can afford to work on for that long. The startup runway calculator shows how many months your savings or day job buy you.
What a micro-SaaS is worth if you sell
Selling is a real exit for small products, and Storemapper is one example. Acquire.com's report on deals in the second half of 2022 put SaaS sales on its marketplace at an average of 2–3 times revenue, or about 5 times profit, and found profitable products sold fastest (Acquire.com). It also advised founders with under $5,000 of trailing-year revenue to price below $25,000 to find a buyer. These are averages from one marketplace in one period, so treat them as a rough guide, not a price.
The practical lesson: buyers pay for recurring, profitable revenue that doesn't depend on the founder. Monthly or yearly plans count; lifetime deals don't count the same way, because they don't repeat.
What changed since 2021
- Building got cheaper; finding customers didn't. AI coding tools make a working first version a matter of weeks. Our post on building an app without code covers what that costs. It also means more competitors ship the obvious ideas, which pushes the advantage further towards knowing one group of customers well.
- Small, verifiable numbers beat big market sizes. The 2021 post quoted a global SaaS market forecast. A market forecast tells a solo founder nothing. Fifty customers at $99 is a business; 0.001% of a large market is a slide.
Sources
- Tyler Tringas: Micro-SaaS ebook introduction (read 29 October 2026).
- Built to Sell: A Small Giant Makes a Great Exit, interview with Tyler Tringas on Storemapper (30 November 2018).
- Plausible Analytics: About (read 29 October 2026) and How we built a $1M ARR open source SaaS (22 June 2022).
- Bannerbear: Open startup page (read 29 October 2026).
- ChartMogul and Kyle Poyar: SaaS growth: the odds of making it (15 October 2025).
- Acquire.com: Biannual Acquisition Multiples Report, Feb 2023 (April 2023).
- Our calculations: customers needed for $5,000 MRR at each price, and the replacements needed at an assumed 5% monthly churn; revenue per Plausible subscriber from its June 2022 figures.
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