Tenmin is an AI language tutor designed to help users practice real conversations.
About a year after launching, it has grown to 30K downloads and reached $20K in monthly recurring revenue last month.
A big part of this growth comes from its UGC strategy.
The app is running a 20-account creator wave that has already generated more than 38M views. Instead of pushing one broad language-learning page, the team seems to be building around creators dedicated to specific languages: Chinese, Korean, Japanese, German, Spanish, and more.
Rather than trying to sell one generic “learn languages with AI” message, they let each creator live inside a single language niche and build content around the jokes, memes, and conversation habits that already exist there.
One creator stands out the most.
@avaaaaa994, who posts Korean-learning content, has already generated more than 10M views across TikTok and Instagram. His format is simple: he talks directly to the app, asks it how to say something, and lets the response become the joke.
One of his best-performing videos used the “67” meme. He asked the app how to say it in Korean, and the AI told him to go away in an annoyed tone. It was not a direct app promo, but the comment section suggests it still worked well as product discovery.
That video alone reached 3.5M views on TikTok and 3.2M on Instagram on January 28, 2026.
Another creator seeing strong traction is @giastudiesjp.
She has generated 7.3M views on Instagram and 3.8M on TikTok with Japanese-learning content, using a very similar strategy: direct-to-app videos built around funny, language-specific moments.
Her best-performing video reached 2.7M views and also played off a meme, this time a Japanese one, with the AI again telling her to stop.
The app has also picked up traction through faceless slideshows.
One faceless ambassador, @violesdcwev on TikTok, reached 750K views and more than 43K saves with “Best Apps to Start Learning Chinese” on August 9, 2025.
So even when the content moves away from direct app conversations, the distribution still stays tightly tied to a specific language-learning niche.
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