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Large Language ModelsAI Business & IndustryZenn AI/MLPublished: Oct 26, 2026, 01:00 JST

inori's free AI diagnosis site draws 6,000 users, earns $0

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inori's free AI diagnosis site draws 6,000 users, earns $0

3 Key Points

  1. What happened

    inori launched a free site that analyzes X posts to match users to an AI model like GPT, Claude or Gemini. It drew over 6,000 users and 40,000 visits, but revenue was zero while API costs reached about $100.

  2. Why it matters

    The design makes costs rise with usage, so popularity directly increases the financial loss — a structural problem for free personal projects, not a one-off expense.

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Context & Analysis

The site's growth came from a built-in sharing loop: users enter their X handle, the AI analyzes public posts, and the result — which AI model they resemble — is designed to be shareable on X. That loop brought over 40,000 visits and more than 6,000 diagnoses, but it also meant every diagnosis triggers API calls, so costs scale with popularity. The creator, who usually releases open-source projects for free, did not add ads or charge users, which kept revenue at zero. Beyond costs, the project yielded a playful data point: the average performance score of diagnosed users was 39.3, close to Gemini 3.7 Flash. The creator now sees the need to rethink the architecture, possibly by reusing results or using cheaper models, while keeping the unique X-handle-based experience.

FAQ
How much did the site cost to run?
API usage totaled about $100, roughly 15,000 yen, while revenue was zero.
What did the analysis of results show?
The average performance score of diagnosed users was 39.3, close to Gemini 3.7 Flash.
What does the creator plan to do about costs?
They are considering reusing diagnosis results and switching to cheaper models to keep the experience unchanged.
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