逸尘 ✓
@gengdaJ · https://github.com/mcncarl · joined 06 Mar 2025
🦄06年连续创业者 | 渝客松发起人 | 永远在学习的法学生 🔪正在上海法律科技律所，打工攒素材 👀YouTube一个月十万粉 | AI产品营收五位数 💗付费咨询（yichen10801）：企业AI服务（商标、舆论、提效等）&AI自媒体增长&AI视频商业化 📮gengdajin1101@gmail.com
Últimas publicaciones
Frente a cuentas del mismo tamaño
18 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 24 552 | 928 | 26.5× |
| Alcance (visualizaciones ÷ seguidores) | 46.44% | 3.52% | 13.2× |
| Tasa de interacción | 0.15% | 1.95% | 0.08× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.95%.
What the audience does
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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