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Dating for people who stan

Your bias list tells a story. The groups you stream at midnight. The dramas you have rewatched three times. The fancams you have saved. That is identity data - and nobody else is using it for matching.

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How it works for Hallyu fans

Connect your fandom profiles. MyDramaList, Spotify (for K-Pop streaming), or answer the interest questionnaire. We pull your drama ratings, group preferences, bias lists, and engagement depth. Nothing is shared raw - only signals.

The algorithm understands that Hallyu fandom exists in layers:

Niche overlap > mainstream overlap

Both having BTS in your profile? With 40 million monthly Spotify listeners, that is barely a signal. Both deep into PIXY? That is a signal.

Mainstream
BTS
40M listeners → NicheWeight 0.11
Niche
PIXY
180K listeners → NicheWeight 0.84

But it goes further. The algorithm knows the difference between "heard Dynamite once" and "streamed every B-side, watched every VLive, and attended the London concert." Engagement depth turns a flat overlap into a real affinity score.

What gets scored

Shared groups - weighted by how niche they are. Stanning the same 4th gen group with 200K listeners is a stronger signal than both liking BLACKPINK
Drama taste overlap - genre preferences, rating patterns, shared 10/10 dramas. Two people who both rated the same obscure sageuk 9.5 have something real
Engagement depth - streaming hours, albums purchased, photocards collected, concerts attended. Casual listener vs dedicated stan is a lifestyle difference
Generation alignment - 2nd gen nostalgia stans and 5th gen enthusiasts are living different fan experiences. The algorithm respects which era shaped you
Content preferences - variety shows, behind-the-scenes, dance practice, music show stages. What you consume beyond the music itself reveals taste depth
Drama genre profile - romcom devotee, thriller addict, historical drama scholar, or makjang guilty pleasure. Your genre mix is a personality signal
Shared dislikes - genres you both skip, tropes you both hate, fan behaviours you both avoid. A mutual eye-roll at a specific trope is bonding data

Your MDL is a dating profile

Except it actually means something.

"You both stream ATEEZ (popularity 62), you have both rated 23 of the same K-Dramas with a rating correlation of 0.87, you both attended KCON London, and your drama genre profiles overlap 79% on thriller and melodrama."

Not "you both like K-Pop." The actual data.

The fandom, not the checkbox

K-Pop and K-Drama fandom is one of the most data-rich interest communities on the planet. Fans already organise their preferences into lists, rankings, ratings, and collections. Affinity Atlas just reads what you have already built. Your MyDramaList watchlist, your Spotify wrapped, your photocard binder - that is the profile. No quizzes. No prompts. Just your actual taste.

And because Hallyu fandom spans music, TV, film, variety, and live events, the algorithm can build a multi-dimensional profile that captures the full picture - not just "likes K-Pop."

Integrations

MyDramaList
Drama ratings, watchlist, completed list, genre preferences
Spotify
K-Pop streaming data, group listening depth, B-side engagement
Apple Music
Play counts, library, saved K-Pop albums
Interest Q&A
Bias list, generation, concert history, content preferences

All opt-in. All revocable. We show signals, never raw data.

Affinity Atlas is in development

No real matching is live yet. If you want to be the first to know when it launches - or you have ideas for how Hallyu fan matching should work - get in touch.

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