Indie advice says build B2B. We classified 30,000+ companies taking real payments by who they sell to, and the segments everyone targets are the ones where micro SaaS barely exists.
A question sits unanswered in the founder subreddits we track, phrased slightly differently in 43 distinct discussions. The clearest version comes from r/SaaS: “So why do I see so many more consumer apps, AI tools, productivity apps, and nice-to-have SaaS products?” The asker had just been told, again, that the only sane path for a solo builder is B2B.
Everyone repeats that advice. Almost nobody checks it against the population of products that are actually taking money. We can, because every company in our Stripe Index snapshot carries an AI target-customer classification, and it is populated for all of them.
The result is two findings that point in opposite directions, which is why the advice stays confused. Consumer is 51.2% of the market, more than double any other segment. And micro SaaS concentrates in the two smallest segments in the whole index: developers at 20.9% and prosumer at 16.8%.
The segments the advice actually points you at, SMB and mid-market and enterprise, sit at 8.0%, 1.8% and 1.2%. Those are the places where a one-person software business is rarest.
43 distinct discussions, and the phrasing barely moves. From r/SaaS: “If the goal is to build a sustainable business, why aren’t more founders building vertical operating systems for small businesses?” From r/microsaas, the decision stated as a menu: “Would you chase agencies, SMBs, startups, or solo founders?”
From r/b2bmarketing, the blunt version: “who SPECIFICALLY are you selling to.” And the follow-up that most founders skip: “what problem are they having right now that makes them need you THIS MONTH not eventually the tighter the ICP the better the results.”
From r/microsaas, the post-mortem version: “Have you ever realized your ICP was way too broad?” From r/Entrepreneur, asked of a founder who had not decided: “are you selling to SMBs or enterprise?” From r/microsaas again, reduced to four words: “What space your app is based b2b or b2c?”
And the one that names the trap, from r/buildinpublic, aimed at dev-tool founders chasing bigger clients: “is your ICP also the budget-holder?” That distinction, between the user and the person with the card, is what separates the dense segments from the empty ones. It runs through everything below. If you are still at the stage before this, customer discovery questions and how to validate a startup idea come first.
Every company in the index carries one of six labels: consumer, prosumer, SMB, mid-market, enterprise or developers. The label describes who the product appears to be sold to, read from its public positioning, in the same family as the scoring behind the opportunity score.
Prosumer is the one people misread. It means an individual paying with their own money for a professional-grade tool: a creator, a freelancer, an independent practitioner. It is not consumer with a higher price, and it is not B2B with a smaller logo. It is its own buying motion, and it turns out to be the second-densest micro SaaS segment in the index.
Source is the Stripe Index, our AI-enriched snapshot of companies listed on Stripe’s public directory. Target customer is populated for every company in the snapshot, with no nulls and no unknown bucket, which is what makes a clean distribution possible. Queries re-run September 11, 2026.
The micro SaaS flag is a separate AI classification on the same records. Percentages below are the share of companies in a segment carrying that flag. Everything is cross-checked against four independent corpora, each with its own blind spots, listed with those blind spots below.
| Source | Evidence type | Volume | Limitation |
|---|---|---|---|
| Target customer | AI classification, 6 fixed labels | 30,000+ (100%) | A model judgement from public positioning; prosumer and consumer blur at the edge |
| Micro SaaS flag | AI classification | 30,000+ | Definitional edge cases; read the distribution, never one label |
| Price tier | AI classification | 12,200+ known | Known for 31.7% to 56.2% depending on segment, so segment comparisons are uneven |
| Buildability score | AI 1-10 feasibility rating | 30,000+ | Apparent difficulty from a public page, not real engineering effort |
| Maturity signal | AI classification (indie / growing / established) | 30,000+ | Inferred from public signals, not from revenue or headcount |
| TrustMRR revenue | Revenue-verified products | 5,400+ | Only three audience labels (B2B / B2C / Both), so it cannot see prosumer at all |
| Funded DB | Funded companies, AI-tagged | 17,000+ | Uses a different, free-form taxonomy; cross-source comparison is directional only |
| Upwork demand | AI-derived SaaS opportunities from paid job posts | 880+ | Audience field is free text, bucketed by keyword, so buckets overlap |
| Complaint corpus | Capterra, G2 and app store reviews | 1M+ documented complaints | Capterra category coverage decays alphabetically; app reviews skew consumer |
| Reddit ICP corpus | Question sentences, ICP-filtered, comments included | 43 distinct posts on target customer | Illustrative of what founders ask, not representative of outcomes |
| Segment | Companies | Share of index | Micro SaaS share | Avg buildability | Agentic |
|---|---|---|---|---|---|
| Consumer | 15,000+ | 51.2% | 5.7% | 4.26 | 0.9% |
| SMB | 6,500+ | 21.5% | 8.0% | 4.25 | 5.0% |
| Mid-market | 3,300+ | 10.9% | 1.8% | 3.83 | 8.9% |
| Prosumer | 2,400+ | 8.2% | 16.8% | 4.62 | 4.7% |
| Enterprise | 1,900+ | 6.5% | 1.2% | 3.28 | 8.8% |
| Developers | 480+ | 1.6% | 20.9% | 4.61 | 20.2% |
Read the third and fourth columns against each other. They run in almost perfect opposition. The order by size is consumer, SMB, mid-market, prosumer, enterprise, developers. The order by micro SaaS density is developers, prosumer, SMB, consumer, mid-market, enterprise. The two biggest segments are fourth and third on density, and the smallest segment is first.
51.2% is a bigger number than most founders expect, and it is not an artefact of the sample in the way you would guess. Stripe is a developer-first payments company, which if anything should skew the directory toward business software. It still comes out majority consumer.
The reason is that consumer is where the long tail of small commerce lives. Ecommerce storefronts, booking pages, ticketed events, fitness studios, course sellers, fundraising pages. Those are businesses selling to people, and they are the bulk of anything that processes cards. Our state of micro SaaS competition analysis reads the same dataset by category rather than by buyer.
A r/startups founder lays out why the segment keeps attracting builders, in three bullets: “Low cost product, easily target-able audience, selling to individuals.” Every one of those is true, and none of them is about willingness to pay.
What the 51.2% does not mean is that consumer is a good solo software market. Only 5.7% of consumer-facing companies are micro SaaS, and the segment’s average buildability of 4.26 sits mid-pack. Being the biggest room in the building says nothing about whether there is a seat.
The advice is not wrong so much as compressed. It originated as a claim about willingness to pay: businesses have budgets and consumers have opinions. That part holds up. What got lost is that “business” covers four very different buying motions, and only one of them is reachable by a person with no sales team.
A r/SaaS founder describes the failure mode of picking the wrong one: “what didn’t work for me the first time: building for developers.” Developers are the densest micro SaaS segment in this data and still the wrong answer for that particular builder, which is exactly why segment-level averages are a starting point and not an instruction. The surprise runs the other way too, as a r/microsaas founder discovered after shipping to an unglamorous SMB niche: “People wanted to PAY for this boring thing?” See B2B SaaS ideas and B2B business ideas for the opposite framing.
Rank the six segments by size and by micro SaaS density and the two lists are close to reversed. Developers are 1.6% of the index and 20.9% micro SaaS. Consumer is 51.2% of the index and 5.7% micro SaaS. The correlation between how many companies chase a segment and how often one person can serve it is negative.
That is not a paradox. It is what a competitive market looks like. The segments that are easy to enter fill up with operators, and the ones that require a team stay thin. Density of micro SaaS is a measure of how much of the work a single person can carry, and it falls as the buyer gets bigger. This is the same shape as the buildability floor in how small should your MVP actually be.
480+ companies, 1.6% of the index, and 20.9% of them are micro SaaS. That is the highest density of any segment. Developers also carry the highest agentic share at 20.2%, more than twenty times the consumer rate of 0.9%, so this is where the newest product patterns land first.
A r/microsaas commenter asks the question this table is built to answer, of a founder who had not yet picked: “Who would be the best target user?” For a developer-facing product the honest answer is that the buyer and the competitor are the same person.
The size is the constraint. A segment of 480+ companies is not thin because it is undiscovered, it is thin because the buyers can build most of it themselves. The products that survive there solve something genuinely annoying to build. Related: side hustles for developers, simple SaaS ideas for solo developers, web developer pain points and what to build as a solo developer.
2,400+ companies, 8.2% of the index, 16.8% micro SaaS, and the highest average buildability of any segment at 4.62. Prosumer is five times the size of the developer segment with four-fifths of the density, which makes it the best size-adjusted opportunity in the table.
It also barely appears in founder advice, because the standard framing only has two boxes. A freelancer buying a $29 tool with their own card is not a consumer and not an enterprise, and the B2B-versus-B2C question cannot express them. One r/SaaS founder hits the gap directly: “For a B2C/Prosumer tool like this, where should I even start?”
Prosumer buyers sign up on their own, expense it later or never, and churn quietly. That is a distribution problem, not a sales problem, which is precisely the problem a solo builder can actually work on. See one person business ideas, the solopreneur SaaS toolkit and the solopreneur guide.
6,500+ companies, 21.5% of the index, 8.0% micro SaaS. SMB is the segment most indie advice actually means when it says B2B, and it is a reasonable answer. It is also the second most crowded segment in the index, and it has the lowest average buildability of the three smaller-buyer segments at 4.25.
What makes SMB workable is that the buyer is visibly under-resourced. A r/smallbusiness thread describes the state of play: “Are you doing it yourself, using freelancers, an agency, some scattered mix of tools, or just skipping bits entirely because there’s no time or budget?” That is a market description, not a complaint.
A r/microsaas thread asks the version of the question that matters once you are in: “For anyone selling to non technical small businesses: when you raised your price, did you get a different kind of customer, or just fewer of the same ones?” That is a pricing question dressed as a segment question, and what micro SaaS actually charges has the measured answer. Also relevant: small business software pain points, how small business owners use AI and small business ideas.
3,300+ companies, 10.9% of the index, and only 1.8% micro SaaS. Mid-market is the third largest segment and the second emptiest for solo builders. It is worse than enterprise on nothing except that founders drift into it accidentally, by starting at SMB and following the money upward.
The r/buildinpublic warning applies here more than anywhere: the moment a dev tool starts chasing bigger clients, the user stops being the budget-holder. A r/startups founder measures the cost of that drift: “Is 4 months with zero closes a red flag, or normal for partnership-led enterprise sales?” Four months of zero is a normal enterprise cycle and a fatal micro SaaS one.
1,900+ companies, 6.5% of the index, 1.2% micro SaaS, and the lowest average buildability of any segment at 3.28. Enterprise products are the hardest things in the index to build, which is most of why one person does not build them.
There is a narrower read that is still useful. A r/microsaas comment gestures at a real wedge: “Or is everyone just telling users to upload CSVs and accepting that bank feeds are enterprise-only now?” Capabilities that got locked behind enterprise pricing create SMB-shaped gaps. That is a micro SaaS opportunity aimed at SMB, not an enterprise product. Related: most underserved software markets and legacy system API wrapper ideas.
Density tells you your odds inside a segment. Raw count tells you how many peers exist. Confusing them produces both of the standard mistakes: chasing enterprise because the logos are big, and dismissing consumer because the density is low.
A r/microsaas commenter pushes on exactly this distinction when a founder posts a revenue number: “how much of the 26k was a few b2b deals vs the b2c side scaling?” One answer means a repeatable product, the other means three lucky contracts.
A r/SideProject comment asks the question that collapses both: “How did you check your audience actually PAYS before you built?” Neither column answers that for your specific idea. Both narrow the search. Our idea validation hub and multi-signal validation cover the per-idea version.
| Segment | Share of all micro SaaS | Share of index | Over or under-represented |
|---|---|---|---|
| Consumer | 44.1% | 51.2% | Under |
| SMB | 25.8% | 21.5% | Over |
| Prosumer | 20.8% | 8.2% | 2.5x over |
| Developers | 5.1% | 1.6% | 3.2x over |
| Mid-market | 3.0% | 10.9% | 3.6x under |
| Enterprise | 1.1% | 6.5% | 5.9x under |
Two things fall out. Consumer is still the single largest source of micro SaaS companies in absolute terms at 44.1%, so “micro SaaS is B2B” is false as a description of the population. And prosumer and developers are over-represented by 2.5 and 3.2 times, which is the finding that actually changes what you build.
| Segment | Tier known | Low | Mid | High or enterprise |
|---|---|---|---|---|
| Developers | 56.2% | 40.4% | 47.6% | 9.8% |
| Prosumer | 47.2% | 41.1% | 45.6% | 12.3% |
| SMB | 43.5% | 36.9% | 51.7% | 10.7% |
| Consumer | 40.4% | 41.3% | 47.3% | 10.2% |
| Enterprise | 32.7% | 12.3% | 19.8% | 67.4% |
| Mid-market | 31.7% | 20.0% | 47.7% | 32.1% |
The four solo-reachable segments are nearly identical: roughly 40% low, roughly 47% mid, roughly 10% high. Whatever price advantage B2B is supposed to confer does not show up between consumer, prosumer, developers and SMB. It shows up only once you cross into mid-market and enterprise, and that is where micro SaaS density collapses.
67.4% of enterprise-targeted companies with a known tier sit in the high or enterprise bands, against 9.8% to 12.3% for every solo-reachable segment. That gap is real and it is the whole economic argument for going upmarket.
It is also the argument against, once you hold the rest constant. The 1.2% micro SaaS rate and the 3.28 buildability say the price is compensation for a longer build and a longer sale. Our SaaS pricing strategies guide covers the model choice and how to price a micro SaaS covers the practical version.
Price tier is unknown for between 43.8% and 68.3% of companies depending on segment. The segments that hide pricing most are exactly the ones that quote on request, mid-market at 31.7% known and enterprise at 32.7%. So the known-tier subset is biased toward self-serve pricing, and the enterprise figures above are drawn from the third of enterprise companies willing to publish a number at all.
That biases the finding toward understating how expensive enterprise really is, which strengthens rather than weakens the conclusion. It is still a caveat, and what the revenue terms actually mean is worth reading before comparing any of these to headline numbers.
Average buildability runs prosumer 4.62, developers 4.61, consumer 4.26, SMB 4.25, mid-market 3.83, enterprise 3.28 on a scale where 10 is trivially buildable. The two densest micro SaaS segments are also the two easiest to build for, and the two emptiest are the two hardest.
That relationship is nearly monotonic and it is the mechanism behind the whole article. Micro SaaS density is not really about buyer psychology. It is about whether one person can finish the product. See single-feature micro SaaS ideas and micro SaaS with no API dependency for the narrowest end of that.
| Buildability | Companies | Consumer | SMB | Prosumer | Developers | Enterprise |
|---|---|---|---|---|---|---|
| 1 (hardest) | 860+ | 70.2% | 7.6% | 3.8% | 0.9% | 11.6% |
| 3 | 6,000+ | 48.4% | 21.8% | 7.0% | 1.2% | 8.4% |
| 5 | 3,400+ | 40.9% | 27.9% | 12.0% | 2.4% | 4.2% |
| 6 | 3,500+ | 43.3% | 24.3% | 13.1% | 3.0% | 4.1% |
| 8 | 1,400+ | 71.9% | 15.8% | 7.8% | 1.0% | 1.6% |
| 10 (easiest) | 220+ | 95.0% | 2.3% | 1.8% | 0.0% | 0.9% |
Consumer share starts at 70.2% at the hardest tier, bottoms out at 40.9% in the middle, and climbs to 95.0% at the easiest. Both ends of the difficulty range are consumer territory for opposite reasons: the hard end is capital-intensive commerce and marketplaces, the easy end is the trivially buildable consumer app where, as the MVP analysis showed, almost nobody is charging.
Every business segment peaks in the middle. SMB peaks at 27.9% at buildability 5. Prosumer and developers both peak at buildability 6, at 13.1% and 3.0%. Enterprise peaks at the hardest tier and falls away monotonically. The middle of the difficulty range is where business software lives, and that is the same band where micro SaaS concentrates.
| Segment | Companies in the 6-8 band | Share of segment in band | Micro SaaS share inside band |
|---|---|---|---|
| Prosumer | 800+ | 32.1% | 40.9% |
| Developers | 170+ | 35.2% | 40.7% |
| SMB | 1,500+ | 23.8% | 26.7% |
| Consumer | 3,700+ | 23.8% | 18.8% |
| Enterprise | 220+ | 11.2% | 9.5% |
| Mid-market | 570+ | 17.4% | 8.0% |
This is the cleanest version of the finding. Hold difficulty constant at the band where solo builders actually work, and prosumer products are micro SaaS 40.9% of the time while mid-market products at the same difficulty manage 8.0%. Equal build effort, five times the density. Segment is not a secondary variable.
Splitting each segment by maturity signal sharpens it further. Among established companies, micro SaaS share is 0.0% for mid-market, 0.3% for enterprise, 0.7% for SMB, 0.8% for consumer, 2.5% for prosumer and 6.0% for developers. Established and micro SaaS are close to mutually exclusive everywhere except the developer segment.
Among indie companies the ordering holds but the magnitudes change completely, which is where the real number lives.
Among indie-stage companies: developers 32.3% micro SaaS, prosumer 23.7%, SMB 11.8%, consumer 8.7%, enterprise 4.0%, mid-market 3.7%. The 32.3% cell is the highest in the entire cross-tab, built on a small base of 120+ companies, so treat it as directional.
The spread is the point. An indie product aimed at developers is roughly nine times more likely to be a micro SaaS than an indie product aimed at mid-market. Same stage, same resources, different buyer. Related reading: the state of indie SaaS revenue, free tools for indie hackers and indie hacker idea validation.
| Business model | Companies | Micro SaaS | Avg buildability | Consumer | Prosumer | Developers |
|---|---|---|---|---|---|---|
| B2C SaaS | 2,600+ | 34.1% | 5.38 | 71.1% | 20.0% | 0.7% |
| B2B SaaS | 3,800+ | 16.1% | 4.75 | 1.4% | 8.8% | 5.6% |
| API and infrastructure | 220+ | 11.4% | 4.32 | 0.9% | 0.0% | 63.6% |
| Creator | 1,100+ | 4.9% | 5.88 | 82.4% | 14.6% | 0.4% |
| Marketplace | 1,900+ | 1.9% | 4.47 | 53.9% | 14.0% | 0.9% |
| Ecommerce | 4,500+ | 1.0% | 4.42 | 79.6% | 4.1% | 0.2% |
| Agency and services | 7,800+ | 0.4% | 3.61 | 31.6% | 5.3% | 0.1% |
34.1% against 16.1%. This is the single most direct contradiction of the orthodoxy in the dataset, and it survives the obvious objection: B2C SaaS also scores higher on buildability at 5.38 against 4.75, so it is not that B2C products are secretly harder and better funded. They are easier and more often run by one person.
The reconciliation matters. Consumer as a target customer is only 5.7% micro SaaS, because the consumer label is dominated by ecommerce, travel, nonprofit and services businesses that are not software at all. B2C SaaS as a business model is 34.1%, because that filter removes them. The lesson is that segment labels and business models are not interchangeable, and most advice conflates them. See micro SaaS examples and the best micro SaaS ideas for the shapes this takes in practice.
220+ companies, 63.6% of them aimed at developers, 11.4% micro SaaS. It is the most segment-pure business model in the index and its micro SaaS rate is lower than B2B SaaS overall, which is a useful correction to the idea that dev tools are automatically a solo play. Infrastructure carries an operational burden that a wrapper does not. Related: SaaS ideas for AI agents and vertical AI SaaS ideas.
Agentic products are 20.2% of the developer segment, 8.9% of mid-market, 8.8% of enterprise, 5.0% of SMB, 4.7% of prosumer and 0.9% of consumer. Developers and large enterprises are adopting agent-shaped products; consumers are essentially not.
Treat this as an emerging frontier rather than a trend, because the absolute counts outside the developer segment are still small. It does say something about where to look if you are building agent-native. Context: the state of AI tools, AI SaaS ideas and the AI opportunity index.
Category and target customer are close to the same variable. Once you pick what the product does, the buyer is mostly decided for you, which means category choice is segment choice whether or not you frame it that way.
| Category | Companies | Consumer | SMB | Prosumer | Micro SaaS |
|---|---|---|---|---|---|
| AI tools | 950+ | 34.0% | 14.3% | 27.0% | 34.7% |
| Invoicing and billing | 490+ | 23.8% | 43.6% | 6.5% | 13.5% |
| Workflow automation | 420+ | 5.0% | 46.4% | 3.8% | 10.9% |
| Creator monetisation | 400+ | 77.2% | 1.5% | 20.3% | 10.8% |
| Education and elearning | 1,200+ | 60.5% | 7.1% | 14.9% | 9.9% |
| Lead generation | 530+ | 11.8% | 52.4% | 5.1% | 9.4% |
| Scheduling and booking | 2,000+ | 67.0% | 20.6% | 5.7% | 5.0% |
| Marketplace | 1,400+ | 51.2% | 17.7% | 14.3% | 2.3% |
| Travel and hospitality | 1,400+ | 84.1% | 3.8% | 4.4% | 1.4% |
| Ecommerce platform | 3,400+ | 71.8% | 13.9% | 5.2% | 0.8% |
| Software dev agency | 590+ | 0.8% | 65.4% | 1.5% | 0.2% |
| Nonprofit and fundraising | 640+ | 86.4% | 3.2% | 0.8% | 0.2% |
Fitness and wellness is 92.6% consumer, nonprofit and fundraising 86.4%, travel and hospitality 84.1%, restaurant and food 78.6%, creator monetisation 77.2%, ecommerce platforms 71.8%. Micro SaaS share in that group runs from 0.2% to 7.4%, with creator monetisation the outlier at 10.8%.
The pattern is that consumer-heavy categories are where transactions happen, not where software gets sold. Creator monetisation breaks the pattern because its 20.3% prosumer slice is buying tools rather than experiences. Adjacent: mobile app ideas and problem-solving app ideas.
Design studios 66.2% SMB, software dev agencies 65.4%, lead generation 52.4%, workflow automation 46.4%, CRM 44.7%, invoicing and billing 43.6%. Micro SaaS share across that group splits sharply: invoicing 13.5% and workflow automation 10.9% at the top, agencies 0.2% and design studios 3.5% at the bottom.
The split is service versus software. Agencies and design studios are SMB-facing businesses that sell hours; invoicing and automation are SMB-facing businesses that sell product. Only the second kind produces micro SaaS. Relevant: boring industries begging for micro SaaS, internal tool ideas, niche SaaS opportunities by industry and how to find niche business ideas.
950+ companies, 34.7% micro SaaS, the highest of any large category. Its segment mix is unlike anything else in the index: 34.0% consumer against a market average of 51.2%, 27.0% prosumer against 8.2%, and 5.0% developers against 1.6%. It is prosumer-weighted by a factor of more than three.
That is the explanation for why AI tools is so micro-SaaS-dense. It is not only that the products are easy to build. It is that they are sold to individuals with professional budgets and no procurement process. See AI business ideas, AI product validation for solo founders and the AI SaaS revenue reality check before assuming density equals profit.
The Stripe Index tells you who products are sold to, not what they earn. For that we go to 5,400+ revenue-verified products, which carry a coarser audience label of B2B, B2C or Both.
| Audience | Products | Share | Median MRR | Share above $1,000/mo |
|---|---|---|---|---|
| B2C | 2,900+ | 54.8% | $11 | 9.8% |
| B2B | 2,000+ | 37.5% | $5 | 13.9% |
| Both | 420+ | 7.7% | $0 | 11.8% |
Independent dataset, same shape. B2C is the majority of revenue-verified products at 54.8%, echoing the 51.2% consumer share in the Stripe Index. The typical outcome is effectively zero in every audience, which is the finding people most need to sit with. Detail in TrustMRR revenue benchmarks and revenue benchmarks by category.
13.9% of B2B products against 9.8% of B2C. That is the defensible version of the B2B claim: a 42% relative improvement in the odds of reaching a number that matters, on top of a median that is zero either way.
A r/SaaS founder describes the other side: “Could not get a single person to pay for it.” And from r/indiehackers, the mechanism: “When I’ve chased acquisition before understanding the paid moment, more traffic only created more free users.” That is the B2C failure pattern in one sentence. Also see the first $1K MRR and solo developer revenue examples.
In our funded-company dataset of 17,000+ companies, enterprise is the single largest target at 28.0%, consumers second at 26.1%, developers third at 7.9%, healthcare providers 6.9% and SMB 6.5%. Venture capital concentrates in the segment where the Stripe Index shows micro SaaS at 1.2%.
That is not a contradiction, it is a division of labour. Enterprise needs capital precisely because one person cannot build or sell it. Reading the two datasets together tells you which segments are funded because they are hard, and which are unfunded because they are small. More in what VCs are funding, the funded startups database and startup ideas that get funded.
880+ SaaS opportunities derived from real paid freelance job posts break down very differently again. Agencies and marketing or sales teams account for 20.4%, developers 16.2%, small and medium businesses 12.8%, consumers 2.7% and enterprise 1.7%.
Paid work almost never points at consumers, because consumers do not hire freelancers to patch their software. It rarely points at enterprise, because enterprise buys from vendors. It points overwhelmingly at the middle, which is the same middle where micro SaaS lives. See validating demand with Upwork jobs, the state of freelance demand and how to use Upwork analysis.
Across 269,000+ Capterra complaint fields, 1,490+ explicitly mention small businesses, small teams, solo operators or freelancers, and 590+ mention enterprise. The recurring complaint is not that the software is bad. It is that it was built for someone else.
From a Capterra review: “It ended up being overkill for a small team, but I could really see the benefit with a bigger team.” Another: “The price-point for small businesses can be steep. It’s better for bigger companies.” And bluntly: “Way too expensive for a small company. It is a shame because I do like the software.” And from a school administrator: “It is too expensive for a small or growing school to justify.”
From G2: “The pricing tiers are not as friendly for really small businesses.” And: “It’s not really suited for small agencies or those who only manage a couple clients.” And the vendor-side version of the same fact: “The current pricing is more focused on Enterprises, so it might be a bad fit for you.”
Every one of those is a downmarket gap. That is the practical reason SMB stays a viable micro SaaS segment at 8.0% while mid-market sits at 1.8%: the abandoned customers fall downward, not upward. More at most hated software, business pain points and the complaint analysis platform.
The consumer side has its own structural problem, and it is measurable. Across 136,000+ app reviews with text, 8,900+ mention a subscription, and 77.9% of those are one or two stars against a 67.0% baseline across all reviews. Mentioning the subscription makes a review about eleven points more likely to be negative.
The texture is consistent. “Was not able to try out the app, as they do not allow you to take it for a test spin. Subscription is required for basic function.” And: “Was great until they decided to do away with the free version. Now you have to pay for the version that used to be free.” And the compressed version: “Scammy subscription service that you can’t even get a feel for before paying.”
A Capterra reviewer running a one-person operation says the business-side equivalent: “Its a lot to learn the back end and we only have one person that works on it.” Two different segments, one complaint: the product assumed resources the buyer does not have. Related: the state of mobile app pain points, why SaaS customers churn and how to analyze app store reviews.
The Stripe Index shows you the population of products that exist. The complaint corpus shows you which of them are failing their buyers, and that is where the opening is. Reading the two together is the whole method.
A r/SaaS thread frames the search well: “what’s the worst B2B software you use that you’d pay someone to replace a single feature of?” A r/smallbusiness commenter reduces it further: “Who are the customers that will pay for this?” And from r/startups, the test that actually settles it: “Would another company with the same problem pay for it?”
Practical entry points: the pain points database, finding ideas from real pain points and how to use the pain points database.
Start from density, then subtract for access. Prosumer at 16.8% and developers at 20.9% are the two densest segments, and both are reached through communities rather than sales, which is the only distribution channel a solo founder reliably owns. SMB at 8.0% is the honest middle when you have domain access instead of audience access.
A r/EntrepreneurRideAlong founder describes the version that works: “picking one narrow niche (for me it’s e-commerce sellers, not any business), and showing the work publicly.” And why it compounds: “Narrow niches have enormous forgiveness margins.”
Two questions to answer before you write code. From r/EntrepreneurRideAlong: “who is your ideal customer and what are their pains and needs?” From r/microsaas, asked of someone already building: “Have you identified who your ideal customer is yet?” And when in doubt, the r/ycombinator framing is still the best starting move: “How do you apply do things that don’t scale to find your first B2B SaaS idea?”
Then go narrow. A r/microsaas commenter: “Anyone else stumble into a niche that paid?” A r/SaaS thread: “Should I niche down instead of going broad?” The data says yes, and says which direction. Follow up with how to find a profitable niche, validating niche viability and getting your first customer.
Filter the index to your category and read the segment split against the micro SaaS share, then check the same category in the complaint data. Start at the Stripe Index database, companies using Stripe, discover. The Stripe Index MCP tools and MCP server cover programmatic access.
For context from outside our data, MicroConf’s State of Independent SaaS surveys bootstrapped founders on exactly this question, the Y Combinator library is the canonical source for the funded-path view of market selection, acquire.com shows what products in each segment eventually sell for, and the US Census Business Dynamics Statistics gives the underlying count of firms by size that any SMB or mid-market estimate has to sit inside.
A r/microsaas commenter frames the segment choice the way the data does, as a question about who you can actually reach rather than who has the budget: “Would you chase agencies, SMBs, startups, or solo founders?” The answer this analysis supports is the one nobody finds flattering, which is that the reachable segments are the small ones.
Segment is one of three scoping decisions we have measured against the same index. The other two are how big the first version should be, in how small your MVP should actually be, and what you can eventually sell, in what actually transfers when you sell a SaaS.
Target customer is populated for every company in the snapshot, so there is no coverage gap on the primary variable. Price tier is the weak point: known for 56.2% of developer-facing companies but only 31.7% of mid-market ones, so the price table compares unevenly-covered groups and should be read as a ranking, not as precise magnitudes.
The revenue cross-check uses a three-value audience label, so it cannot see prosumer at all. Prosumer products are split between B2C and B2B there, which means the strongest finding in this article is the one the revenue data is least able to confirm. The funded dataset uses a third, free-form taxonomy, so its comparison is directional only.
On the complaint side, Capterra category coverage decays alphabetically, so category-level complaint counts are not comparable across the alphabet. App review data skews heavily consumer by construction, which is why it is used only for the consumer-side finding.
These are model judgements. Useful across 30,000+ rows, unreliable on any single company.
The prosumer boundary is fuzzy. Prosumer and consumer blur, and so do SMB and mid-market. The extremes are solid; the adjacent pairs are not.
Correlation, not causation. Micro SaaS concentrating in prosumer does not prove that targeting prosumers makes you one.
Survivorship. Every company here reached Stripe. Products that were built for a segment and never launched are invisible.
Selection bias. Stripe’s public directory skews digital, self-serve and English-language, which under-counts enterprise software sold through procurement.
Small cells. The developer segment is 480+ companies and the indie-developer cell is 120+. Directional, not precise.
Snapshot. September 2026, no time series, so it cannot show whether any segment is opening or closing.
30,000+ classified companies, 1M+ documented complaints, and real revenue benchmarks, filtered by the category and buyer you are actually considering.
Start searching →Disproportionately to developers (20.9% micro SaaS) and prosumers (16.8%), the two smallest segments in the index. SMB is 8.0%, consumer 5.7%, mid-market 1.8%, enterprise 1.2%.
Both, and the labels mislead. Consumer is 44.1% of all micro SaaS companies by count, but products classified as B2C SaaS are 34.1% micro SaaS against 16.1% for B2B SaaS.
51.2% of the 30,000+ companies in the index. SMB is 21.5%, mid-market 10.9%, prosumer 8.2%, enterprise 6.5% and developers 1.6%.
Those buyers need integration, procurement and support. Enterprise products average 3.28 buildability and mid-market 3.83, against 4.62 for prosumer. Harder product, bigger team.
It is the densest segment at 20.9%, and 32.3% among indie-stage companies, but it is only 480+ companies. Dense and narrow, with buyers who can build it themselves.
An individual paying for a professional-grade tool with their own money. 8.2% of the index, 16.8% micro SaaS, and the highest average buildability at 4.62.
Enterprise. 67.4% of enterprise-targeted companies with a known tier sit in the high or enterprise bands, against 9.8% to 12.3% for every solo-reachable segment.
It crosses $1,000 per month more often: 13.9% against 9.8% across 5,400+ revenue-verified products. Median revenue is effectively zero in both.
Nearly the inverse. Enterprise is 28.0% of our funded dataset and 1.2% micro SaaS in the Stripe Index. Capital goes where one person cannot.
It is the largest and the least forgiving. 51.2% of companies, 5.7% micro SaaS, and app reviews mentioning subscriptions are 77.9% negative against a 67.0% baseline.
Fitness and wellness 92.6%, nonprofit and fundraising 86.4%, travel and hospitality 84.1%, restaurant and food 78.6%, creator monetisation 77.2%.
Design studios 66.2%, software dev agencies 65.4%, lead generation 52.4%, workflow automation 46.4%, CRM 44.7%, invoicing and billing 43.6%.
AI tools at 34.7%. It is also the most prosumer-weighted large category at 27.0%, against a market average of 8.2%.
Yes, almost monotonically: prosumer 4.62, developers 4.61, consumer 4.26, SMB 4.25, mid-market 3.83, enterprise 3.28.
Density first, then access. Prosumer and developers are densest and reachable through communities. SMB at 8.0% is the honest middle if you have domain access instead.
AI classifications applied uniformly to every company, so the distribution is meaningful and any single label may be wrong. Prosumer and consumer blur most.
BigIdeasDB indexes the Stripe Index alongside complaint and revenue data. Start at the Stripe Index database or discover. Further reading: micro SaaS trends, profitable micro SaaS ideas, the most profitable SaaS niches, how to find startup ideas, how to build a micro SaaS and how to find problems worth solving.
BigIdeasDB Research. (2026). Who Micro SaaS Actually Sells To (30,000+ Companies). BigIdeasDB. Retrieved from https://bigideasdb.com/who-micro-saas-actually-sells-to