Fashion & style Creators on Threads: 20 Indexed

This is the pool of Fashion & style creators on Threads within Lifestyle — 20 of them. The narrower the niche, the higher the reply rate; searching broadly for "Lifestyle creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• 100% have recent content captured for judgement versus 41% overall — better-evidenced than average.
• A and B grades are 15% of this slice versus 34% overall — expect to screen through more names to find usable ones.
• 20% publish an email or IM handle against 7% index-wide — easier to reach directly than average.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• Alexandra Botez (@missbotez) — 个人生活分享

• Yianni Charalambous 🇨🇾🇬🇷 (@y14nny) — supercar customisation

• Lexie Brown (@lexiebrown) — 时尚穿搭

• Hush / Creator Campaigns (@apphush) — Paid UGC campaigns

• Wincy Chua (@wincyychua) — 平价时尚试穿 haul

• Shay Doll♑️💋🪶 (@akdoll907) — SHEIN dupes和快时尚推荐

• Rayanne (@contentcreationgirl) — Creator community and membership

• Dave Kent (@davekenthq) — poker lifestyle

• SwissWatchExpo (@swisswatchexpo) — Pre-owned luxury watches

• Jarrod Jenkins (@ajarrodjenkins) — fashion industry accountability

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Fashion & style" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.