Mobile & consumer apps Creators on Douyin: 105 Indexed

This is the pool of Mobile & consumer apps creators on Douyin within Software — 105 of them. The narrower the niche, the higher the reply rate; searching broadly for "Software creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 1,074,240, 258.5× the index-wide median of 4,155 — expect higher rate cards.
• 67% have recent content captured for judgement versus 46% overall — better-evidenced than average.
• Average authenticity is 63/100 against 56/100 index-wide, with fewer bought-follower signals 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

• 良介开箱 (@2168026674) — Real-world appliance reviews

• 猴哥讲办公 (@7546009442468594748) — Excel spreadsheet tips

• 办公知识 (@81379437429) — Excel函数与数据处理

• 猴哥讲办公 (@91360389187) — Excel tips and tricks

• 0基础学Excel (@jcx88) — Excel tips and tricks

• 马克大测评 (@Mk_F913) — Phone and laptop real-world tests

• Simon数码世界 (@TechSimon) — Smartphone reviews (Huawei, Samsung, etc.)

• 冰冰jie电脑入门办公制表 (@56803896796) — Learn computer basics from scratch

• 胖哥评测 (@3465267786289870) — Real appliance reviews

• 博哥办公 (@28152372521) — Word document formatting and table techniques

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

"Mobile & consumer apps" 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.