Home & living Creators on TikTok: 493 Indexed

This is the pool of Home & living creators on TikTok within Lifestyle — 493 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

• Median following is 27,010, 4.2× the index-wide median of 6,482 — expect higher rate cards.
• 79% have recent content captured for judgement versus 41% overall — better-evidenced than average.
• A and B grades are 10% of this slice versus 34% overall — expect to screen through more names to find usable ones.

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

• Wonderlife (@wonderlife.foryou) — 中国工厂生产过程

• ASMR Playroom (@asmrplayroom) — ASMR toy unboxings and mini appliances

• Babs (@brunchwithbabs) — Family recipes and make-ahead meals

• Real Estate (@heider_realestate) — Luxury real estate listings in DC

• 🖌Alec Paints🎨 (@alecpaintsofficial) — Brush washing and care

• XuHang Ban (@wood_carving) — 木雕手工制作

• INGRID AND RECE 💘 (@ingridandrece0) — 情侣约会夜和礼物篮

• Karagamii (@karagamii) — Origami tutorials and paper crafts

• Moi.Toi.art (@moi.toi.art) — DIY paper snowflakes and 3D stars

• Maggie McGaugh (@maggiemcgaugh) — Thrifting and trash finds

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

"Home & living" 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.