I analyzed 4,500 indie SaaS products so you don't have to
A data-driven look at how indie SaaS is actually priced, structured, and positioned — plus what it means for builders.
The research spiral that's eating your weekends
You have an idea. Maybe it's a niche project management tool, a developer productivity add-on, or a micro-SaaS targeting a specific vertical. Before you build, you do the responsible thing: competitor research.
You open a browser tab. Then five more. Then fifteen.
Three hours later you have a chaotic spreadsheet with mismatched columns, half-empty pricing cells where the homepage just said "contact us for pricing," and three tabs you can't even remember why you opened. You've got a rough vibe of what's out there, but nothing you could actually use to make a decision.
What's the median price for a dev tool in your category? You don't know. What percentage of competing products offer a free tier? You're not sure. Do solo founders price differently than small teams? Good question — back to the tabs.
This is the competitor research trap: it feels productive, it takes forever, and by the end you have a gut feeling dressed up as market knowledge.
I got tired of this cycle. So I built a pipeline to collect, clean, and structure data on 4,500 indie SaaS products across public directories and marketplaces — and the patterns that emerged were genuinely surprising.
Why manual SaaS research is a nightmare
The core problem isn't effort — it's consistency. When you manually check 20 competitors over three days, you're not really comparing apples to apples. Pricing pages change. Products pivot. A tool that was bootstrapped last month just raised a seed round and repriced everything.
Manual research also has invisible selection bias. You find the products that rank well in Google, which means you're mostly studying the 10% that already "won." The other 90% — the honest, mostly-profitable micro-SaaS products grinding away at $5k-$20k MRR — are invisible to you.
And the metadata you care about as a builder (free tier? team pricing? annual discount? which directories they're listed in?) is never in one place. You're stitching together 40 different website layouts and pricing philosophies into one coherent view.
That's the gap I wanted to fill.
What 4,500 products actually tell you
After collecting and cleaning the dataset, a few patterns stood out immediately:
1. The $19–$49/month band is brutally crowded
Nearly half of all products with published pricing land in the $19–$49/month range per seat or per account. It's the psychological sweet spot that almost every founder discovers independently — cheap enough that a buyer doesn't need sign-off, expensive enough to signal it's a real product. If you're pricing here, you have a lot of company.
2. Productivity and developer tools dominate by volume, but not by pricing power
Dev tools and productivity products make up roughly 45% of the dataset by count. But when you look at median price, they're actually mid-pack. Design tools and analytics/data products tend to command higher prices for comparable complexity — partly because their value is more directly tied to revenue outcomes buyers can measure.
3. ~62% offer a free tier — but free tier structure varies wildly
Most indie SaaS products have some kind of free access: a free plan, a free trial, or a freemium model. But the free tier strategy splits almost evenly three ways — usage-capped free plans, time-limited trials, and seat-limited tiers. The "right" choice depends heavily on category: tools with high activation friction tend to use longer trials; tools with fast time-to-value more often use usage caps.
4. Solo-founder products cluster at lower price points, but not by as much as you'd expect
There's a persistent myth that solo-built micro-SaaS products can't compete on price with VC-backed tools. The data suggests otherwise: the median price gap between solo-founder products and small-team products is less than $8/month. The bigger differentiator is market: solo founders cluster heavily in developer and productivity niches, which have lower median prices overall — not because solo founders underprice, but because they pick different markets.
How I collected this
The data was gathered through automated collection and curation across public SaaS directories, marketplaces, and listing platforms — all publicly accessible information. Pricing, categories, feature flags (free tier, team pricing, annual billing), and founder/company size indicators were normalized into a consistent schema. No proprietary data, no private APIs, no dark patterns — just structured aggregation of what's already out there, done at scale.
The result is a single CSV you can filter, pivot, and query in any tool you already use.
Want the full dataset?
I'm packaging this into a structured dataset — 4,500 indie SaaS products with pricing, categories, free tier info, and more — and launching it on Product Hunt on May 6.
If you're building a SaaS product, doing competitive research, or just curious about how the indie market is actually structured, this is the dataset I wish I'd had.
Grab it now on Gumroad for $39 →
Or follow along for the Product Hunt launch on May 6 — I'll be sharing more breakdowns from the data in the days leading up to it.
Built by Web Data Labs — automated data collection for people who'd rather be building than scraping.
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