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2026-09-20 GOLF☀ AM

Golspec Replaces the Golf Store Fitting With an Algorithm. It Considers Your Tempo. Naturally, You Still Lie About Your Distance.

Golspec, founded in July by former Ping distributor employee Lee Jun-hee, uses AI to recommend golf clubs based on swing data including height, weight, driving distance, and swing tempo. The company launched a website using hosting from Cafe24, allowing individual users to try the AI recommendation system without visiting a brick-and-mortar store. Lee told The Seoul Economic Daily that testing every club in every category in person required more time than most golfers had.

The underlying principle is dimensionality reduction. A human fitter can weigh maybe four or five variables before cognitive overload sets in. An AI system can consider height, weight, driving distance, swing tempo, and dozens of other variables simultaneously without getting tired or biased toward inventory it needs to move. The mental model: when a decision space has more variables than a human can hold in working memory, algorithmic recommendation is not a luxury. It is the only scalable solution.

Golspec, founded by Lee Jun-hee in July, launched its AI club recommendation website using hosting from Cafe24, which trades on the KOSDAQ as 042000.KQ. Lee previously worked as a Ping distributor employee before building the platform.

  1. Open a free AI golf fitting tool such as the one at golfclubspy.com or the fitting questionnaire at globalgolf.com. Enter your height, weight, typical driving distance, and swing tempo honestly.
  2. Note the recommended club specifications: shaft flex, loft, lie angle, and clubhead type. Write them down.
  3. Take those specifications to a local golf store and test two clubs that match the AI recommendation and one that does not. The comparison will tell you whether the algorithm understood your swing better than your own guesswork.
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