How We Built SEOventra: From a Frustration to 10,000 Users

The frustration

A few years back, we were paying $150 a month for an SEO tool that took four clicks to answer one question: are our keywords going up or down? That was it. One question. Four clicks. The dashboard was full of graphs we had never opened, reports we had scheduled and forgotten, and a sidebar with 23 items in it.

We cancelled the subscription and started looking for alternatives. The alternatives were either more expensive and more bloated, or cheaper and useless. Nothing sat in the middle — the obvious, embarrassing gap where a clean, fast, actually-usable tool should have been.

So we decided to build it ourselves. Not as a side project, not as a technical exercise — as a real product that we would personally use every week. That constraint, building something for yourself first, turns out to be underrated.

Shipping the first cut

The first version took six weeks. Before we wrote a line of code, we wrote a single constraint on a whiteboard: if a feature cannot be explained in one sentence, it does not go in. That ruled out a lot of things we liked on paper.

What made the cut: rank tracking for up to 100 keywords, a site audit that flagged the 20 most common technical problems, and a dashboard showing exactly three things — your top 10 movers, your biggest technical issue, and your overall score trend. That was the whole product.

We launched with a post on a couple of indie founder communities. No press, no Product Hunt, no ad spend. Just a genuine post saying: we built this for ourselves, maybe you will find it useful. Seventy people signed up in the first week. Forty of them were still active three months later.

What users actually did

Here is what we expected our users to want: more keywords, more countries, more integrations. Here is what they actually wanted, based on watching session recordings and reading every support ticket: competitor tracking, historical trend data, and email alerts when something moved significantly.

Those three things were not on our roadmap. We had been planning API access and a Chrome extension. We binned both of those and built what our users were actually asking for instead. Competitor tracking launched six weeks after the initial release. Historical trends two weeks after that. Email alerts two weeks after that.

By month three, we had crossed 1,000 paying users. The product roadmap at that point was entirely reactive — every feature tied to a named user who had asked for it. No guesswork. No trends reports. Just listening.

Under the hood

Running rank checks at scale is genuinely hard. Not algorithmically hard — the logic is simple — but operationally hard. We check rankings across 40+ search engines and locations, process roughly two million keyword data points a day, and return dashboard queries in under 400 milliseconds. That last number took a while to get right.

We made a deliberate early decision to separate the data ingestion pipeline from the serving layer entirely. Ingestion runs on a queue-based architecture that can absorb spikes without blocking anything user-facing. The serving layer reads from pre-aggregated stores, not raw data. This is boring infrastructure advice that everyone gives and few people follow early enough. We followed it from the start and it saved us several very stressful evenings.

The site audit crawler is the part we are most proud of. It prioritises issues by estimated impact rather than just listing everything it finds. A missing H1 on a low-traffic page gets lower priority than a canonical loop on your homepage. That prioritisation logic took two months to get right and is now one of the most commonly cited reasons people switch to SEOventra.

What we'd do differently

Honestly? Not much about the product decisions. We would start charging sooner — we ran free for the first two months and attracted a cohort of users who had no intention of ever paying. The product improved faster once we had paying customers who had skin in the game.

We would also instrument the product for analytics from day one rather than retrofitting it later. Understanding which features people actually used versus which features they just opened once changed how we prioritised almost everything. That data took us six months to get properly in place.

The broader lesson from SEOventra is the lesson we try to apply to every Muqira product: start with a constraint you believe in, ship before you are ready, and let the people using it tell you what to build next. It sounds simple. It is genuinely hard to do. But every time we have done it, it has worked.