SEO Tool TopicRanker Sold to Portfolio Operator iTrinity: A Division of Labor Where "Individuals Build, Specialists Grow"
TopicRanker, an SEO tool that finds keywords where weak competitors rank, was launched solo by SEO practitioner Dmitry Dragilev and sold to SaaS portfolio company iTrinity — a microcosm of the micro-SaaS market's growing split between building and operating.
Note: yen conversions in this article are rough estimates at $1 = ¥150.
TopicRanker’s sale is worth recording even though the price was undisclosed. For seller Dmitry Dragilev, this was his fourth company sale — and this time, rather than “sell everything and walk away,” he chose to sell a majority stake while staying on as CEO. It’s a case where you can watch the changing structure of the market, solo-founded micro-SaaS getting absorbed into SaaS portfolio companies, through the career of a single serial entrepreneur.
Overview and Takeaways
TopicRanker is an SEO tool that automatically discovers “keywords where the search results are filled with weak pages.” Dmitry Dragilev, a well-known SEO consultant, turned his own know-how into a tool in 2022, then in September 2024 sold a majority stake to iTrinity, the company behind Mangools and other tools. According to They Got Acquired’s reporting, at the time of sale annual revenue was just under $800K (roughly ¥120M), with more than 500 paying customers.
Turning an expert’s “mental checklist” into a tool is a classic pattern for solo SaaS. Because the logic has already been validated in the founder’s own client work, demand validation for the product is effectively complete. It’s the expert-practitioner version of FeedbackPanda’s “partner’s pain point” origin story.
The existence of SaaS portfolio companies has made “solo zero-to-one developer” a viable profession. Build a product, get it to initial traction, then sell it to a company that excels at operations, Ben Stokes’s “build to sell” approach is becoming an increasingly structured pattern in SaaS as well.
Four Sales — Dragilev’s Timeline of Repetition
Dragilev moved to the US from the former Soviet Union as a boy, earned a bachelor’s degree and an MBA, spent about a decade in software engineering and digital marketing, and has since repeated a cycle of founding and selling companies.
| Year | Event |
|---|---|
| 2014 | Polar sold to Google |
| 2020 | PR tool JustReachOut sold to Adam White |
| 2022 | TopicRanker founded |
| 2023 | Smallbiz.tools sold to Semrush |
| September 2024 | Majority stake in TopicRanker sold to iTrinity; Dragilev stays on as CEO |
Four deals in ten years. Rather than growing one company for the long haul, this is a career built on repeating “build → get it to traction → hand it to the right acquirer.” The roster of buyers is also telling. Google, Semrush, and iTrinity are all strategic buyers able to fold the acquired business into existing assets. Rather than listing on a marketplace and waiting for an anonymous buyer, he approaches the party whose structure lets them value the business most highly. In fact, this deal started when Dragilev himself, impressed by iTrinity’s portfolio, reached out first.
The Business at the Time of Sale
| Item | Figure |
|---|---|
| Annual revenue | Just under $800K (approx. ¥120M) |
| Paying customers | 500+ |
| Free users | 2,600+ |
| Team | Founder + 2 |
| Founding to sale | About 2 years |
A simple calculation puts revenue per paying customer at around $1,600/year (roughly ¥240K), a price point aimed at SEO practitioners and agencies, not cheap tooling for individual bloggers. The company also ran a tool called SERP Gap Analyzer on Semrush’s app store, riding a major platform’s distribution alongside its own acquisition. The tool itself identifies “weaknesses” in search results (by keyword, title, word count, and page speed) which is exactly the analysis Dragilev used to do by hand as a consultant.
How to Productize Expert Knowledge
As a hands-on SEO and PR consultant, Dragilev spent years manually judging “which keywords can we actually win?” TopicRanker algorithmized his criteria, are the search results filled with outdated articles, forum threads, and thin pages? A procedure that existed only in a consultant’s head became a subscription product.
This pattern has three strengths: (1) demand is pre-validated (it’s the exact know-how he had been selling to clients), (2) initial customers already exist (his existing clients and readers), and (3) marketing content writes itself (practical expertise turns directly into articles). Where engineers tend to start from “what can I build,” experts can start from “what I already know will sell”. That is the fundamental advantage of productizing expertise.
Don’t Sell It All — the Design of a Majority Sale Plus Staying on as CEO
The defining feature of this deal is that Dragilev didn’t give up all his shares. He sold a majority stake while keeping partial ownership and the CEO role. His motivation is stated plainly: he had struggled with team building and felt he’d hit a ceiling accelerating growth alone, so he went looking for a partner. After the sale he continues as TopicRanker’s CEO, and has also started handling marketing for other SaaS businesses under iTrinity.
This form isn’t “exit equals retirement.” Part of the cash is locked in up front, the retained stake captures future growth, and the buyer’s organizational muscle fills in the founder’s own weak spots (hiring, operations). It’s a picture of M&A for solo developers shifting from “an exit” to “a capital-raising move for growth.”
What the Buyer iTrinity Means
iTrinity is a SaaS portfolio company based in Slovakia/Czechia that operates Mangools (KWFinder and others), UptimeRobot, and more, specializing in “buying and growing SEO and web-operations tools.” For TopicRanker, this is about the best landing spot possible: Mangools’s existing customer base becomes an immediate cross-sell channel.
Negotiating leverage at exit also comes from this fit. To a generic buyer it’s just “a small SEO tool,” but to a buyer with a suite of SEO tools it’s “a component that will grow once plugged into our customer base.” A product’s valuation is not an absolute number, it’s a multiplication against the buyer’s assets, which is why finding a buyer means searching for “the party whose structure lets them value you highest.”
The Stumbles, and What We Can’t Read From This
Even a case that looks smooth on the surface has a clearly documented weakness. Even Dragilev, with three prior exits under his belt, struggled with team building. The ability to build a product and validate demand is a different skill from the ability to build an organization and run operations, and the more someone excels at the former, the more the latter tends to become their bottleneck. Choosing a majority sale is itself, in a sense, a confession of that limit.
There’s another limit on the information side. The sale price is undisclosed, so we don’t know what percentage of equity changed hands for how much. We can verify the scale up to “just under $800K in annual revenue, 500+ customers,” but how good an outcome this deal was economically cannot be assessed from the outside. What an undisclosed-amount M&A case can teach us stops at “what kind of structure makes a deal happen”, nothing more.
Conditions for Reproducing This, and the Limits
The pattern itself is the transferable asset: (1) productizing your own practical know-how lets you skip demand validation, (2) go looking yourself for a strategic buyer who can absorb your business as “a component,” and (3) there’s an option to not sell everything, keeping equity and a position. These three points hold structurally regardless of business size.
On the other hand, Dragilev’s starting conditions are hard to replicate: years of name recognition in English-language SEO circles, an existing customer/reader base as an initial customer pool, the negotiating leverage that three prior exits generate with buyers, and distribution channels like the Semrush app store. Japan, moreover, still has a thin layer of portfolio companies like iTrinity that specialize in buying up individual-scale SaaS, so the receiving end for a “sell but stay” pattern is scarce. The pattern can be imported, market depth cannot.
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