A Solo-Founded Executive Database Hits $5M ARR, Sells for $25M: How Boardroom Insiders Won with "Human-Curated Data"
Boardroom Insiders, a profile database of large-company executives started by former marketer Sharon Gillenwater, grew to $5M ARR and was sold to UK information giant Euromoney for $25M — 5x revenue. A textbook exit for "human-curated data" that AI cannot replicate.
This is a translation of the Japanese original. The Japanese version and cited primary sources are authoritative for all figures.
(Yen figures for dollar amounts are approximate, converted at 150 yen per dollar)
The Big Picture
| Item | Figure |
|---|---|
| Founder | Sharon Gillenwater (former marketer), started solo |
| Business | Human-curated profile database of Fortune 500 executives |
| ARR reached | $5M (approx. ¥750M) |
| Sale price | $25M (approx. ¥3.75B) = 5x revenue |
| Buyer | Euromoney (UK financial and business information giant) |
The Contrarian Bet on “Human-Powered Data”
Boardroom Insiders’ product is a collection of detailed profiles of individual Fortune 500 executives — career history, public statements, priorities, even personality — all compiled by hand. B2B salespeople and consultants use it to prepare for executive meetings. Because each entry is researched and written by a human, scaling is slow — but that very slowness became the barrier to entry.
Data that can be crawled mechanically can be replicated by any competitor. Data that humans have read through and editorially contextualized is expensive to copy, and since the executive roster is constantly turning over, only an organization that keeps updating it can maintain it. It stands as the “human-curated data” counterpart to BuiltWith, whose machine-collected data reached $14M ARR with one person.
Why It Commanded a 5x Revenue Valuation
The aggressive $25M valuation against $5M ARR comes down to the nature of data businesses. First, gross margins are high (once created, the same data can be sold to any number of companies). Second, churn is low (once embedded in a sales organization’s workflow, it is hard to remove). Third, for an information giant like Euromoney, the math is simple: plug the product into its existing customer network and revenue grows.
For SaaS businesses that sell data, the ultimate buyer is an information giant that sells other data to the same customers. Major financial and corporate information companies are always hunting for data assets, and even niche data commands high multiples if it is “data that exists nowhere else.”
Lessons for Solo Starters
Gillenwater is a former marketer, not an engineer. The core of this business is editorial work, not software, and in the early days it can start with you researching and writing yourself. Even without technical skills, “editing information that someone will pay dearly for into a buyable form” can become a SaaS you start alone.
Related Reading
Sources
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