10 Micro-SaaS Examples With Estimated Revenue in 2026

Looking for real micro-SaaS examples?

This list shows you exactly ten of them, ranging from an estimated $3,000 in monthly recurring revenue (MRR) up to six figures. All numbers come from our own Starte.ai research database and are estimates based on traffic and pricing models (as of July 2026). I deliberately mixed the list: the big ones show you where things can go, the small ones show what a realistic starting point looks like.

The overview

*Estimates from our research database, not official figures. More on this below in the sources section.

What these micro-SaaS examples have in common

Every product on this list solves exactly one narrow problem for a clearly defined audience — none of them try to be "everything for everyone."

That's essentially the definition of micro-SaaS: a lean software subscription, often built by a single person or a small team, that serves a niche instead of a mass market. No investor pitch, no growth-at-all-costs mentality — just a workflow that saves time, priced according to the time it saves. Rob Walling has aptly called this "bootstrapping" for years now — building what paying users need today, not what might scale in five years.

Three examples, up close

Circleback — the textbook example. One workflow (meeting notes), one clear audience (people with packed calendars), one subscription. The product doesn't change user behavior at all — the bot just sits in on the meeting. I wrote a full breakdown of it, because it illustrates almost everything that makes a good micro-SaaS.

Avoca — software for people who don't think in software. HVAC technicians and installers miss calls, and every missed call is a lost job, often worth several hundred to a thousand-plus dollars per visit.

Avoca picks up, qualifies the request, and books an appointment directly — no one in the office has to touch the phone. Here's the interesting part: nobody's pitching this audience on Product Hunt. Trade businesses aren't googling "voice AI SaaS" — they just notice they're missing fewer calls. That's exactly why competition in these "invisible" niches is often thinner than in the loud tech communities — whoever reaches them runs into little fight for attention.

Tapni — small, unglamorous, growing. Digital business cards that write contacts straight into a CRM. An estimated $3,600 MRR sounds modest next to the big names — but as a side project, that would already change things for a lot of people. Numbers exactly like this are the realistic first milestone when you're starting on the side.

What separates the small ones from the big ones

Less than you'd think.

The patterns are identical: a concrete problem, a reachable audience, a subscription price justified by the time it saves. The difference lies in the size of the niche market and in how many years the product has been running. Nobody on this list started out at $100,000 MRR.

What strikes me every time I go through the database: hardly any of the growing products is a genuinely novel idea. They're boring problems, solved cleanly. If you're looking for your own entry point right now — I've written up the four patterns behind products like these separately, and here's what micro-SaaS actually is.

How to find examples like these yourself

The fastest way to your own micro-SaaS examples isn't brainstorming — it's systematically watching traffic and revenue trends in a research tool. I rarely just sit around dreaming up ideas — I look at what's already working and where the curve is pointing up. It's a repeatable three-step process.

Step 1: Open the trend finder and filter by category

Start in the Trend Finder and narrow down the flood of tools first. Instead of scrolling through thousands of products, filter by category — say, "AI tools for service businesses," "content & video," or "fintech for retail investors." The goal at this stage isn't to already find the one idea. It's just about getting a field of 30 to 50 candidates that roughly fit an area you're interested in or already know well.

Step 2: Sort by traffic trend

Sort the filtered list by traffic trend instead of absolute MRR. A product with $3,000 MRR that's grown steadily for six months is often more interesting as a starting point than one with $80,000 MRR that's been flat or declining for a year. Rising traffic paired with low revenue can mean: the niche is heating up, but almost nobody has monetized it cleanly yet. That's exactly the gap where a second, better player often still has room.

Step 3: Deep-dive on the most interesting candidates

Take the three to five candidates left after step 2 and look at each one more closely: pricing model, target audience, how they're likely finding new users, how old the domain is, whether there are reviews or mentions in forums.

For some products, that's enough to tell you: the market's too small, or a single provider dominates too heavily. For others, you'll spot a gap — an audience being poorly served, or a price that's clearly too high for what's on offer. Gaps like that are the starting point for a product of your own.

If you get stuck on one candidate and want to build something of your own out of it, the next logical step is turning that idea into a concrete feature set and tech stack.

Sources

• Starte.ai research database: revenue modeled from traffic data, public pricing, and industry benchmarks (as of July 2026)
• Public websites of the products mentioned

*Note: All brands mentioned belong to their respective owners and are named for identification purposes only.

The figures are estimates provided without guarantee; there is no business relationship with the providers mentioned. Revenue data is modeled from publicly available traffic signals, published pricing, and industry benchmarks — not taken from internal financials. Treat every number as a directional indicator, not a certified account balance. The goal is to give you a realistic feel for market size, not to make investment promises.

What to Do Next

Pick one category you already have some context in — even loose familiarity helps you spot what the leading tools are getting wrong. Run the three-step process above on that category and write down the single most interesting gap you find: who is being underserved, and at what price point does the market feel mis-calibrated.

This is the step where most people stall — not because the data is missing, but because translating a gap into an actual product direction requires someone to pressure-test the logic with you. That's exactly where working through it with a system built on real project data makes a difference. Starte.ai has helped shape the early direction of 350+ projects, drawing on a research database built from thousands of live products — so the strategy you'd get isn't generic advice, but a read on what's actually moving in your specific niche. The first strategy call is free, and you can start exploring the tools without paying anything upfront.

Once you have a candidate and a rough positioning angle, move to the Blueprint tool to sketch out the feature set and tech approach. From there, the path to a first working version — and to the first real users — gets considerably shorter.