How Syft Learns What You Love

Syft is built around one idea: the colors that look best on you aren't random. They follow a pattern — your color season — and that pattern can be used to filter the entire world of fashion down to the pieces that will actually work for you.

First: your color season

When you upload your photo, Syft analyzes your skin tone, hair, and eyes to identify your color season. The analysis looks at three dimensions: undertone (warm or cool), depth (light to deep), and chroma (clear or muted). Together they place you in one of 12 seasons, each with its own palette of colors that harmonize with your natural coloring.

A clear, well-lit photo in natural daylight gives the most accurate result — that's why Syft asks for it specifically.

Then: a feed built for your palette

Every item in the Syft catalog has been analyzed for its visual qualities — color, tone, texture, style. When your season is identified, Syft surfaces the items whose qualities are most compatible with your palette. Items that would clash with your coloring are filtered out entirely.

The result is a feed that starts at your season and narrows from there — not a generic "trending" list with a color filter applied.

Over time: it learns your taste

Two people with the same color season don't have identical style. One Soft Summer might lean minimalist; another might love maximalist texture. Syft picks up on these differences as you interact with your feed — saving items, clicking on what catches your eye — and adjusts what it shows you accordingly.

The longer you use it, the more the feed reflects your specific aesthetic within your season, not just the season in general.

No paid placements

Syft does not accept payment from brands to appear in your feed. What you see is determined by color compatibility and your personal signals — not by commercial relationships. When Syft earns an affiliate commission, it's because the algorithm matched you to something you chose to click on.