HADC INDICATOR ✓
@beingakash26_ · New Delhi, India · joined 08 Aug 2020
Actuarial Science(IFoA), London | Graduated in Mathematics(Hons.) DU | Python Developer | Developer of #HADC #INDICATOR Educational Content Only | Not Advice
Postingan terbaru
Dibandingkan akun berukuran sama
4 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. menjangkau lebih sedikit orang dibanding akun seukurannya.
| Metrik | Akun ini | Median untuk 10K–100K | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 534 | 924 | 0.58× |
| Jangkauan (tayangan ÷ pengikut) | 0.97% | 3.62% | 0.27× |
| Tingkat interaksi | 0.00% | 1.52% | 0.00× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
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 5 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 1.52%.
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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