Product-market fit was defined for companies chasing billion-dollar exits. Most of us aren't. So what does PMF look like when you just want a niche tool that pays your bills?
I run Inithouse, a portfolio of 14 small products — all MVP-stage, all searching for that elusive "fit." And the more I build, the more I realize the standard PMF playbook doesn't apply to what I'm doing.
The Sean Ellis test doesn't work here
The classic PMF benchmark: survey your users, and if 40% say they'd be "very disappointed" without your product, you've found fit.
Sounds clean. But it assumes you have enough users to survey. When you're running a niche tool with 200 monthly visitors and 30 active users, that 40% threshold is statistically meaningless. Eight people saying "very disappointed" doesn't tell you much.
More importantly, the Ellis test was designed for products with network effects and viral loops — the kind where "disappointment" correlates with organic growth. For a niche utility, someone can find your tool indispensable and never tell a single person about it.
What I actually watch instead
After a year of running multiple products simultaneously, here's what I've learned to pay attention to:
Return visits without prompting. If people come back to Alive Photo without me sending emails or running ads, something is working. GA4 shows me returning user ratio — and it's the single most honest metric I have. No retention email? No push notification? They came back anyway? That's a signal.
Sharing behavior. Not viral coefficients or K-factors — just whether anyone shares the output. When someone creates something with VerdictBuddy and screenshots it to a friend, that's word-of-mouth at the smallest possible scale. It doesn't compound like a SaaS referral loop, but it tells me the output has value beyond the person who created it.
Time-to-value under 30 seconds. Niche tools live or die by how fast someone gets the point. If the landing page needs a paragraph of explanation, the tool is too complex for its niche. I've killed features that added power but pushed time-to-value past a minute.
Willingness to pay anything at all. Not how much — just whether someone reaches for their wallet. A single $5 purchase from a stranger who found you through Google tells you more than 10,000 free signups from a Product Hunt launch.
The lifestyle business version of PMF
The VC version of PMF is about explosive growth curves and TAM. The lifestyle version is quieter: a steady trickle of organic users who convert at a reasonable rate and don't churn immediately.
For my portfolio, "fit" looks like this: organic traffic that grows 5-10% month over month without ad spend. A conversion rate above 2% on a landing page I haven't touched in weeks. At least one unsolicited positive message per month.
None of these would impress an investor. All of them tell me I'm building something someone actually wants.
Running 14 experiments taught me to let go of benchmarks
The biggest advantage of running a portfolio is pattern recognition. When you have 14 products at various stages, you stop obsessing over any single metric and start noticing which products "feel" different.
Some products get traffic but no engagement. Some get engagement but no conversion. And a rare few get that specific combination where people arrive, use the thing, come back, and occasionally pay — all without you pushing them.
That combination is what PMF feels like at the small scale. It's not a hockey stick. It's a slow, steady pull.
What I'd tell another niche builder
Stop benchmarking against SaaS companies with 50-person teams and Series A funding. Your version of fit is different, and that's fine.
Watch for organic returns. Watch for unsolicited sharing. Watch for strangers paying without being asked.
If those three things happen — even at tiny numbers — you're probably closer to fit than you think.
I'm Jakub, building Inithouse — a portfolio of small tools and experiments. I write about what I learn along the way.
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