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        <title>SaaS Distribution</title>
        <link>https://saasdistribution.io</link>
        <description>Evidence-backed distribution profiles for real SaaS. Every channel claim is detected from public signals — ad libraries, sitemaps, repos, posting cadence — and linked to its receipts. Not founder checkboxes.</description>
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        <copyright>2026</copyright>
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            <title><![CDATA[How 100 SaaS Startups Actually Got Users]]></title>
            <link>https://saasdistribution.io/blog/how-100-saas-startups-actually-got-users</link>
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            <pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[We audited the distribution of 100 SaaS startups, channel by channel, with receipts. The most common first channel is not SEO, ads, or Product Hunt.]]></description>
            <content:encoded><![CDATA[Studio Ghibli style illustration of indie founders analyzing data and growth channels for SaaS startups

Everyone has an opinion about how SaaS gets users. Almost nobody has a dataset.

So we built one. We took the TrustMRR top 100, opened every product, and wrote down where its users actually come from. Not where the founder says they come from in a podcast. Where the receipts point.

88 of those 100 now have a full profile. That's 312 ranked channels and 392 individual receipts, each one a link you can click and check yourself. The other 12 are deliberately thin: anonymous founders, metrics that contradict each other, and a couple of products we would rather not send traffic to.

Here's what fell out of it. Some of it confirmed the folklore. Some of it did not.

Table of Contents

The most common first channel is the founder's own audience
Programmatic SEO is the second engine, and it is bigger than you think
Not one of them ranks paid ads as its primary channel
You do not need domain authority to start
The leaderboard number is not the business
What this actually means if you're starting now

The most common first channel is the founder's own audience

Not SEO. Not ads. Not Product Hunt.

Across the 88 audited startups, we ranked each one's channels by how much of its growth they explain. The channel sitting at #1 most often is the founder's existing audience, for 19 of 88 products. Programmatic SEO is second at 17. Everything else trails.

The cleanest example on the board is Leverage, a German real-estate analysis tool. The co-founder said it out loud in an interview: 99% of the first 1,250 users came through his own YouTube channel. No ads, no growth team, profitable on users alone.

DataFast is the same shape with a different surface. Its launch tweet converted 21 customers in 24 hours, and it sits behind a newsletter with 42,851 subscribers. The tweet looks like the channel. The list is the channel.

This is the least transferable finding in the whole dataset, and that's exactly why it matters. If you have an audience, it is worth more than any tactic on this page. If you don't, the honest read is that 19 of these companies started a game you can't enter, and you should be studying the other 69.

Indie founder building an audience on social media and a newsletter for startup growth

Programmatic SEO is the second engine, and it is bigger than you think

Programmatic SEO shows up somewhere in 42 of the 88 profiles, and it's the top channel for 17. But the scale gap between "has some programmatic pages" and "is a programmatic machine" is enormous.

The median startup here has a 124-URL sitemap. Eleven have more than a thousand. The largest:

| Product | Sitemap URLs | Biggest cluster |
|---|---|---|
| Photo AI Studio | 14,308 | /photos (7,272) |
| Elyx AI | 6,602 | /en (3,299) |
| Cometly | 6,027 | /post (5,637) |
| Notis AI | 3,159 | /integrations (2,851) |
| Postiz | 3,046 | /compare (2,080) |

Look at what those clusters are. /integrations. /compare. /models. These aren't blog posts. They're one template pointed at a list: every integration, every competitor, every model, every city.

LLM Gateway does the same thing with /models and /providers pages on top of an open-source repo with around 1,500 GitHub stars.

Meanwhile 29 of the 88 have sitemaps under 50 URLs and are doing fine. Programmatic SEO is a real engine, but it is clearly not a requirement.

Visual representation of programmatic SEO and automated sitemap generation for startups

Not one of them ranks paid ads as its primary channel

We built the channel taxonomy from what we actually found: open source, ecosystem, launches, founder audience, programmatic SEO, editorial SEO, word of mouth, referrals, affiliates, marketplace, partners, outreach, free tools, viral.

Paid advertising is not in that list. It never earned a slot, because across 88 audited products it never came out as a primary growth channel. Sixteen profiles mention paid acquisition somewhere in their history. None of them are carried by it.

Be careful with this one. It's a survivorship result, not proof that ads don't work. TrustMRR ranks verified revenue, and a bootstrapped product that can't fund a paid loop is over-represented here by construction. What the data does support is narrower and still useful: you can reach real revenue without ever buying a click, and most of these did.

You do not need domain authority to start

The median domain rating across the audited set is 27.

Nineteen of them are at DR 10 or below. Thirty-six are at 20 or below. These are companies with verified revenue and near-zero link equity, ranking anyway.

That reframes the usual advice. Domain authority is something these products accumulated on the way up, not a gate they cleared before starting. The ones winning search at DR 12 are winning specific, low-competition, high-intent queries that nobody with a DR 70 bothered to write a page for.

Small startup climbing search engine results despite low domain authority

The leaderboard number is not the business

This is the pattern we did not expect to find, and it changed how we present the whole directory.

MRR is a ranking metric. It is not a revenue metric. Sort 100 companies by MRR and you systematically punish everyone who sells one-time.

ApplyAll is the clearest case. Its MRR is $3,412, from four subscriptions, which lands it near the bottom of a leaderboard sorted by MRR. Its actual revenue over the previous 30 days was $44,266, with $777,065 all time. It sells one-time application packages. It's a healthy business that a subscription metric renders as a rounding error.

It isn't alone. Five startups earned more than 3x their MRR in their last 30 days:

| Product | MRR | Last 30 days | Ratio |
|---|---|---|---|
| ApplyAll | $3,412 | $44,266 | 13.0x |
| aerie | $2,002 | $19,032 | 9.5x |
| GETebook.ai | $2,858 | $26,424 | 9.2x |
| Supliful | $184,871 | $977,158 | 5.3x |
| Coldcaller | $3,652 | $12,085 | 3.3x |

The mirror image is the lifetime-deal arc. Marky did roughly $770K gross on AppSumo. That's real money and it is also a one-time cash event that flatters a company whose recurring line may be going the other way.

And launches decay faster than anyone admits. Videotok went from 567 upvotes on one Product Hunt launch to 6 on a later one. LLM Gateway's founder said a single tweet outperformed the spike from a Product Hunt launch that scored 296 upvotes.

If you take one thing from the directory, take this: always ask what the number is measuring before you envy it.

Comparing recurring revenue and one-time sales metrics for software startups

What this actually means if you're starting now

Five things the data supports, in order of how much we'd bet on them:

Build the audience before the product, if you possibly can. It's the single most common first channel and the only one that's basically free at launch.
Find your list and template it. The winners aren't writing more posts, they're pointing one good page at every integration, competitor, or city.
Don't wait for domain authority. Half this board is under DR 27 and shipping.
Treat launches as a spike, not a channel. Plan what catches the traffic on day two.
Pick a revenue model before you benchmark yourself. If you sell one-time, MRR leaderboards will always tell you you're failing.

Every claim here is traceable. Open any profile and each channel carries a statement, a class (detected, stated, or third-party) and a dated link to wherever we found it.

Browse the directory and check our work.

Startup founder planning actionable growth strategies for starting a new software company
]]></content:encoded>
            <author>support@saasdistribution.io (Mitchel Kelonye)</author>
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