Crypto Creators on TikTok: 181 Indexed

This is the pool of Crypto creators on TikTok within Finance — 181 of them. The narrower the niche, the higher the reply rate; searching broadly for "Finance creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 19,801, 3.1× the index-wide median of 6,482 — expect higher rate cards.
• 70% have recent content captured for judgement versus 41% overall — better-evidenced than average.
• Average authenticity is 48/100 against 55/100 index-wide — worth raising your authenticity floor before shortlisting.

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

• Andres Garza (@capital_inteligente) — Finanzas personales para jóvenes y principiantes

• Ferry Irwandi (@irwandiferry) — Indonesian economy and monetary policy

• Zach R Podcast (@zachpodcast) — XRP price predictions and market analysis

• Crypto Daily News (@cryptodailyfeed) — Daily crypto and stock market headlines

• 💀☠️jjchagerben☠️💀 (@jjchagerben999) — Bitcoin

• Casey (@casey.adams) — memecoin交易

• Understanding crypto (@understandingcrypto) — Bitcoin price action and technical analysis

• @alexanderelorenzo — crypto market cycles and halving

• Davinci Jeremie (@davinci.jeremie..15) — Bitcoin price predictions and long-term value

• Blockchain Bullhorn 🐂 (@blockchainbullhorn) — 交易心态与情绪控制

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

"Crypto" 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.