for the last decade, we have dressed according to the social graph.
the social graph is simple: “who do you know?” and “who do you follow?”
if kim kardashian wears biker shorts, the algorithm pushes biker shorts to millions of people. if your friends wear beige, you wear beige.
this era is ending.
we are moving from the social graph (who you know) to the taste graph (who you are). here is why this shift is the future of the internet, and why it changes how you will get dressed forever.
1. the social graph = the uniform
think of early instagram (2015-2020). it was a popularity contest.
fashion was about mimicry. you bought things to signal that you belonged to a specific tribe.
- the algorithm: “your friends liked this, so you should see it.”
- the fashion: heavy logos, hypebeast culture, viral items.
- the problem: everyone started looking the same. it was a digital uniform.
2. the interest graph = the chaos
then came tiktok. it moved us to the interest graph.
it didn’t care who your friends were; it only cared about what you clicked on.
- the algorithm: “you stared at this for 3 seconds, here is more of it.”
- the fashion: micro-trends. cottagecore. mob wife aesthetic. old money.
- the problem: speed. trends burned out in weeks. it created a culture of disposable “fast fashion” consumption that left us dizzy.
3. the future: the taste graph
the taste graph is different. it is predictive, not reactive.
taste is not about likes. it is about correlations.
if you listen to radiohead, own a mid-century modern chair, and drink oat flat whites, there is a high statistical probability that you prefer structured minimalism over neon streetwear.
you didn’t tell the algorithm that. the taste graph figured it out.
- the algorithm: “based on the texture, color palette, and silhouette of what you love, you will love this—even though you’ve never seen it before.”
- the fashion: personal style. discovery. finding items that feel like they were made for you, regardless of whether they are “trending.”
why polopan is a taste engine
most shopping apps are stuck in the past.
myntra uses the interest graph (“you looked at shoes, here are more shoes”).
instagram uses the social graph (“everyone is buying this”).
polopan is building a taste graph.
we don’t just look at the item; we look at the aesthetic dna. when you swipe right on a look, we aren’t just recording a “like.” we are mapping your taste coordinates.
we are teaching the ai to understand that a specific shade of olive green, a specific cut of trouser, and a specific type of fabric belong together in your world.
the verdict
the era of “influenced” shopping is over. you don’t need to dress like a celebrity, and you don’t need to dress like the algorithm.
the future isn’t about following the crowd. it’s about finding your coordinates.
welcome to the post-trend world.



