Fitness & training Creators on TikTok: 242 Indexed

This is the pool of Fitness & training creators on TikTok within Lifestyle — 242 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 74,654, 18.5× the index-wide median of 4,045 — expect higher rate cards.
• 84% have recent content captured for judgement versus 45% overall — better-evidenced than average.
• A and B grades are 6% of this slice versus 37% 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

• seses rapunzel✨ (@realsesesvana) — home workouts and calisthenics progress

• You1stlondon (@you1stlondon) — home workouts

• J e a n l u i s (@j.luis_) — airport ramp work and aviation life

• cam 🦸🏼 (@camfant)

• Jutta Leerdam (@juttaleerdam) — Olympics and speedskating

• Fausto Murillo (@turbofausto) — home workouts and leg exercises

• JoseZuniga (@joseczuniga) — testosterone and hormonal health

• Apikejacos (@apikejacos) — couple relationship comedy and skits

• NATSUKI (@natsuki56612) — Muscle training and stretching

• Raxass dinthie (@boykhalil1) — Physical Training and Abs Workouts

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

"Fitness & training" 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.