New tool · · 2 min read · Source: Hyperstar (PR Newswire)
Hyperstar ranks influencers by sales. Followers are just decoration
Influencer marketing still runs on reach and gut feeling at most brands. A Seoul startup flips that: creators ranked by real revenue per post, via one question in ChatGPT or Claude. If you don't connect your shop data, you can't play.
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You know the drill. Briefing for the next influencer campaign. The shortlist is sorted by followers. Because that's the only number everyone can compare.
And then the small account outsells the big one. Again.
What Hyperstar does
On November 6, Seoul-based Hyperstar launched an AI agent that picks influencers by actual sales instead of followers. According to the press release, the startup connects real brand order data from eight sales channels, including Amazon, Shopify, TikTok Shop, Coupang and Naver Shopping, and tracks revenue post by post. Creators are ranked by sales, share of active followers and sales history. The company says its database covers 10 million creators in 133 countries.
You can query it in one sentence via Claude or ChatGPT, for example: "Find creators who can sell our product well in the US." Per Hyperstar, the agent handles selection, outreach, contracting, campaign management and performance verification.
The company's showcase example: an account with 235,000 followers generated 35 times the sales of one with 797,000 on its platform. Hyperstar doesn't say which category or time period. The company is small: 19 paying customers. All numbers are company claims.
Followers are a vanity metric
What I find interesting: anyone who has owned an influencer budget knows reach isn't revenue. What's new is someone delivering the counter-number. Revenue per post, across channels. Hyperstar CEO Euychul Shin says himself that creators used to be picked on gut feeling, because nobody knew who actually sold.
Which means the negotiation shifts. When brands can see who sells, they pay for proven revenue, not reach. Good for small creators with loyal communities. Uncomfortable for big accounts whose rate card hinged on follower count.
The second-order point: the shortlist gets made in chat
Selection moves into ChatGPT and Claude. No agency pitch, no tool login, one question. Same pattern as Adobe and SeenThis last week: specialist software supplies the data, chat becomes the interface.
The catch is the entry fee. It only works if you connect your order data. If you can't or won't measure influencer revenue, you fall back on followers. And stay with gut feeling.
What I'd do now
- Measure revenue per creator. Unique discount codes or links per creator. Without that number, every pick is a guess.
- Re-sort your last campaign. Rank creators by revenue instead of reach and see who ends up on top.
- Structure new deals differently. Smaller flat fee, bigger revenue share. Test who's willing.
Bottom line: Followers were the currency because there was nothing better. Once revenue per post is measurable, it's the only number that counts.
Key facts
- On November 6, 2026, Seoul-based Hyperstar launched an AI agent that ranks influencers by actual sales instead of followers.
- Per the company, it uses order data from eight channels (including Amazon, Shopify, TikTok Shop) and 10 million creators in 133 countries; queryable via ChatGPT or Claude.
- Company example: an account with 235,000 followers sold 35 times more than one with 797,000; Hyperstar has 19 paying customers.
Source
Hyperstar (PR Newswire): Hyperstar Ranks Influencers by Sales, Not Followers
This article was researched and written with AI assistance. Responsible: Luigi Lugmayr.




